Disambiguation of social polarization concepts and measures
Open accessAbstract
This article distinguishes nine senses of polarization and provides formal measures for each one to refine the methodology used to describe polarization in distributions of attitudes. Each distinct concept is explained through a definition, formal measures, examples, and references. We then apply these measures to GSS data regarding political views, opinions on abortion, and religiosity—topics described as revealing social polarization. Previous breakdowns of polarization include domain-specific assumptions and focus on a subset of the distribution’s features. This has conflated multiple, independent features of attitude distributions. The current work aims to extract the distinct senses of polarization and demonstrate that by becoming clearer on these distinctions we can better focus our efforts on substantive issues in social phenomena.
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Written from the paper’s full text.
TL;DR
The paper distinguishes nine senses of polarization and provides formal measures for each, then applies them to General Social Survey data on political views, abortion, and religiosity. It finds no strong, consistent trend of increasing or decreasing polarization from 1984 to 2012; whether polarization appears depends on which sense is measured.
Key findings
- The authors identify nine distinct senses of polarization: spread, dispersion, coverage, regionalization, community fragmentation, distinctness, group divergence, group consensus, and size parity.
- For GSS political views, population dispersion climbs slightly but not monotonically from 1984 to 2012; community fragmentation shifts in 1996 when “strictly conservative” rose from 16.3% to 18.4% and surpassed “slightly conservative” (16.6% to 16.7%). Group divergence, distinctness, consensus, and size parity do not consistently change, so only community fragmentation shows polarization.
- For political views grouped by religiosity, group divergence rises from 0.1170 in 1984 to 0.1774 in 2012; size parity rises from its lowest value of 0.8752 in 2002 to 0.9589 in 2012; distinctness falls from 0.7175 in 2002 to 0.6548 in 2012, an 8.68% increase in overlapping responses. Overall, the paper calls this polarization minor and confined to specific aspects.
- For abortion attitudes, there is no substantial increase or decrease in polarization in any sense. The data are typically trimodal, not strictly bimodal; endogenous distinctness is near 95% for abortion versus near 86% for political views, and average exogenous group divergence is 0.3715 for abortion versus 0.1307 for political views.
Methods
- The project combines conceptual analysis, formal methodology, and applied social science: it defines each polarization sense, gives an example formal measure, and illustrates independence among measures.
- Data are from the General Social Survey: POLVIEWS political views, a composite ABORTION variable, and the BIBLE question used to define religiosity groups. The authors also use American National Election Studies data on women’s roles as an example.
- Measures are applied to normalized one-dimensional attitude distributions. Groups are identified endogenously from modes/local minima or exogenously by BIBLE response; measures are compared across years and between issues.
Limitations
- The paper states it makes no claims of completeness, acknowledges alternative measures are possible within each concept, focuses on one-dimensional applications, and does not incorporate confidence or response-rate variance into the measures. It also says the example measures are indicative rather than recommended best practices.
- The text makes evident that GSS data often have five or fewer response values or categorical answers, limiting which topics can be analyzed; endogenous group boundaries can shift and produce volatile group-based measures; and some years have small weighted samples.
Model-written summary. Check it against the paper before relying on it.
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Cites
Statistics
Claims the paper makes
2 of 39 cited sources checked · 0 supported · 0 flagged · accuracy not yet measured
- Premisecitation
The comparative approach allows applying the concepts and measures across issues or time without requiring new concepts or measures.
“The comparative approach allows us to apply our concepts and measures across issues or time without requiring new concepts or measures (Dandekar, Goel, & Lee, 2013).”
Quote in the paperSubstantial claim1 of 1 sources checked- cites Dandekar, Goel, & Lee, 2013 source
In “Measuring Polarization” (page not provided), the paper applies the same network disagreement index to opinions before and after an opinion-formation process, supporting comparison over time without a new measure. Our copy does not establish that the citing authors’ concepts and measures can also be applied across different issues without modification. (LLM, conf=0.78)
Experimental — accuracy not yet measured
- Findingown data
The size parity measure decreased from 0.96 to 0.67 as the population moved from three distinct and substantial clumps toward a distribution that spikes on a score of 1 (equal roles) and falls off quickly as scores increase.
“The size parity measure, however, decreased from 0.96 to 0.67 as the population moved from three distinct and substantial clumps toward a distribution that spikes on a score of 1 (equal roles) and falls off quickly as scores increase.”
Quote in the paperSubstantial claim - Findingnone given
So far none of the paper's senses is directly affected by the sizes of the groups in a population.
“So far none of our senses is directly affected by the sizes of the groups in a population.”
Quote in the paperSubstantial claim - Findingreasoning
The concepts and their measures are not completely orthogonal.
“The concepts (and their measures) are not, however, completely orthogonal.”
Quote in the paperSubstantial claim - Findingnone given
The distinct senses above are demonstrably pairwise independent within the constraints of certain boundary conditions: for any two senses one can construct an example from two distributions showing that an increase in one sense of polarization does not require or imply an increase (and could be matched with a decrease) in the other sense.
“The distinct senses above are demonstrably pairwise independent within the constraints of certain boundary conditions: for any two senses one can construct an example from two distributions showing that an increase in one sense of polarization does not require or imply an increase (and could be matched with a decrease) in the other sense.”
Quote in the paperSubstantial claim
- Findingown data
Many of the paper's measures reveal little change in polarization on the topic of women's roles even while the mean attitude has moved steadily from 3.92 in 1972 to 1.98 in 2008.
“Many of our measures reveal little change in polarization on this topic even while the mean attitude has moved steadily from 3.92 in 1972 to 1.98 in 2008.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites ANES, 2010
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Findingown data
Attitudes toward abortion between 1970 and 1990 reflect high levels of polarization in the sense of distinctness because few individuals hold positions between the two large groups.
“Although we will later see that the trend is not strong, it is the case that attitudes toward abortion between 1970 and 1990 (shown in Figure 1) reflect high levels of polarization in the sense of distinctness because few individuals hold positions between the two large groups.”
Quote in the paperNot a substantial claim - Findingnone given
The liberal side was strictly decreasing again until 2008.
“That doesn't last, and the liberal side is strictly decreasing again until 2008.”
Quote in the paperNot a substantial claim - Findingown data
The total population leans right, as indicated by the higher than 50% population mean value.
“As one can tell from the higher than 50% population mean value, the total population leans right”
Quote in the paperNot a substantial claim - Findingreasoning
The number of groups goes down to two in 2012 because the 14-year conservative peak dissolves.
“the number of groups goes down to two in 2012 because the 14-year conservative peak dissolves.”
Quote in the paperNot a substantial claim - Findingown data
In 2000, pure liberals outnumbered slightly liberals to generate a third mode in the population distribution.
“In 2000 the same thing happens on the liberal side: the pure liberals outnumber the slightly liberals to generate a third mode in the population distribution.”
Quote in the paperNot a substantial claim - Findingown data
The clearest sign of increased polarization of political views by religiosity is from group divergence.
“The clearest sign of increased polarization is from group divergence (the average distance among the group means).”
Quote in the paperSubstantial claim - Findingnone given
The mean political views of the Word of God group is consistently more conservative than the Book of Fables group.
“the mean political views of the Word of God group is consistently more conservative than the Book of Fables group.”
Quote in the paperNot a substantial claim - Findingown data
The population dispersion and the average in-group dispersion values captured by group consensus are nearly identical.
“the population dispersion and the average in-group dispersion values captured by group consensus are nearly identical.”
Quote in the paperNot a substantial claim - Findingreasoning
In the sense of community fragmentation, there is an increase in polarization from the pre-1995 period that persists throughout the post-1995 period.
“in the sense of community fragmentation there is an increase in polarization from the pre-1995 period that persists throughout the post-1995 period.”
Quote in the paperSubstantial claim - Findingown data
Except in 1997 when the Word of God group scored slightly less conservative than the Inspired Word group, the more religious groups were increasingly conservative from 1984 to 2012.
“except in 1997 when the Word of God groups scored slightly less conservative than the Inspired Word group, the more religious groups were also increasingly conservative from 1984 to 2012.”
Quote in the paperNot a substantial claim - Findingreasoning
Half the bump in the conservative bin in 1996 can be attributed to an influx from the extremely conservative bin (from 3.9% to 2.8%).
“half the bump in conservative can be attributed to an influx from the extremely conservative bin (from 3.9% to 2.8%)”
Quote in the paperSubstantial claim - Findingreasoning
For the BIBLE question, there are no empty bins for any years, so the community fragmentation measure is entirely determined by the number of possible responses to that question-in this case three.
“For the BIBLE question, there are no empty bins for any years, so the community fragmentation measure is entirely determined by the number of possible responses to that question-in this case three.”
Quote in the paperSubstantial claim - Findingnone given
The movement in political views is from nearly moderate positions to slightly less moderate positions on both sides.
“The movement is from nearly moderate positions to slightly less moderate positions on both sides.”
Quote in the paperNot a substantial claim - Findingown data
Size parity rose from the lowest value (in 2002) of 0.8752 to 0.9589 in 2012.
“it rose from the lowest value (in 2002) of 0.8752 to 0.9589 in 2012.”
Quote in the paperNot a substantial claim - Findingreasoning
The suite of measures do not reveal a consistent polarizing trend in Americans' political views.
“They do not reveal a consistent polarizing trend in Americans' political views.”
Quote in the paperSubstantial claim- Rests on an assumption: The GSS samples are representative of the American population, so trends in GSS responses describe Americans' political views and abortion opinions.
- Findingreasoning
This pattern also holds for political views.
“This pattern also holds for political views.”
Quote in the paperSubstantial claim - Findingown data
During this time, the Word of God group climbed spasmodically from 0.526 in 1984 to 0.594 in 2012.
“During this time, however, the Word of God group climbed spasmodically from 0.526 in 1984 to 0.594 in 2012.”
Quote in the paperNot a substantial claim - Findingown data
The liberal side is a single bin with roughly 35% of the population.
“The liberal side is a single bin with roughly 35% of the population.”
Quote in the paperSubstantial claim - Findingnone given
For political views, the indicated trend is not bimodality (people going out from the center to the extremes), but rather a congregating of attitudes into three camps.
“For example, the indicated trend for political views is not bimodality (people going out from the center to the extremes), but rather a congregating of attitudes into three camps.”
Quote in the paperSubstantial claim- Rests on an assumption: The GSS data and SDA composite weights yield valid estimates of Americans' attitudes.
- Findingreasoning
These changes are revealed as a boost in the group divergence measure for the period after 1996 compared to the earlier years.
“These changes are revealed as a boost in the group divergence measure for the period after 1996 compared to the earlier years.”
Quote in the paperNot a substantial claim - Findingnone given
The group consensus of political views stays close to the average value of 0.81 across the post-1996 years.
“The group consensus of political views stays close to the average value of 0.81 across the post-1996 years.”
Quote in the paperNot a substantial claim - Findingnone given
In contrast, the number of groups for abortion rights was three for all but 1990 and 2008.
“In contrast, the number of groups for abortion rights was three for all but 1990 and 2008.”
Quote in the paperSubstantial claim - Findingreasoning
The central position has actually gained support as these fringe groups have broken away from the otherwise normally distributed attitudes.
“The central position has actually gained support as these fringe groups have broken away from the otherwise normally distributed attitudes.”
Quote in the paperSubstantial claim- Rests on an assumption: The GSS data and SDA composite weights yield valid estimates of Americans' attitudes.
- Findingnone given
Abortion attitudes reveal a clean split in attitudes held by groups with other salient differences (e.g., religiosity).
“issues, like abortion, which do reveal a clean split in attitudes held by groups with other salient differences (e.g., religiosity).”
Quote in the paperSubstantial claim- Rests on an assumption: The GSS data and SDA composite weights yield valid estimates of Americans' attitudes.
- Findingreasoning
There is no clear trend of increasing or decreasing polarization in abortion opinions, whether taken as a comparison of initial and final values, rolling averages, or pre/post 1996 values.
“Volatile though they may be, there is no clear trend of increasing or decreasing polarization (whether taken as a comparison of initial and final values, rolling averages, or pre/post 1996 values).”
Quote in the paperSubstantial claim - Findingreasoning
For political views there are 5.11% more people in overlapping regions of the attitude space.
“So for political views there are 5.11% more people in overlapping regions of the attitude space.”
Quote in the paperNot a substantial claim - Findingreasoning
Although there are changes from year to year, none of them produce discernible trends in abortion rights polarization.
“Although there are changes from year to year, none of them produce discernible trends.”
Quote in the paperSubstantial claim - Findingown data
The mean value for the secular Book of Fables group remains nearly constant throughout the whole period.
“The mean value for the secular Book of Fables group remains nearly constant throughout the 1984 1985 1987 1988 1989 1990 1991 1993 1994 1996 1998 2000 2002 2004 2006 2008 2010 whole period.”
Quote in the paperNot a substantial claim - Findingown data
For the political views data, the clearest difference between the endogenous and exogenous analysis is community fragmentation.
“For the political views data, the clearest difference between the endogenous and exogenous analysis is community fragmentation.”
Quote in the paperNot a substantial claim - Premisecitation
Previous work on polarization often fails to systematically distinguish the specific ways in which polarization is realized.
“Occurrences of polarization frequently appear in the sociology and political science literature (Baldassarri & Gelman, 2008;Bartels, 2000;Brownstein, 2007;DiMaggio, Evans, & Bryson, 1996;Fiorina, Abrams, & Pope, 2010;Hetherington & Weiler, 2009;Hunter, 1991;McCarty, Poole, & Rosenthal, 2008), but the specific ways in which polarization is realized are not systematically distinguished.”
Quote in the paperSubstantial claim0 of 3 sources checked - Interpretationreasoning
The spread measure will often be correlated with later measures such as dispersion, coverage, and the distance between group means because many distribution shapes constrain how these values can change.
“The spread measure will often be correlated with the later measures such as the dispersion, coverage, and the distance between group means because many distributions shapes constrain how these values can change.”
Quote in the paperNot a substantial claim - Premisecitation
Increasing the number of dimensions expands polarization into additional distinct senses, such as the correlation of attitudes across multiple issue dimensions, which are only sensible for higher-dimensional data.
“Furthermore, increasing the number of dimensions also expands polarization into additional distinct senses; i.e., there are types of polarization (such as the correlation of attitudes across multiple issue dimensions (Baldassarri & Gelman, 2008;Fiorina et al., 2010)) that are only sensible for higher-dimensional data.”
Quote in the paperSubstantial claim0 of 2 sources checked- cites Baldassarri & Gelman, 2008 source
- cites Fiorina et al., 2010
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Interpretationnone given
The discrete coverage measure depends on the choice of bins when applied to nondiscrete data; varying bin width and/or location can alter the measure for the same underlying continuous data.
“That discrete measure, though simple, depends on the choice of bins when applied to nondiscrete data: varying the width and/or location of bins can alter the measure for the same underlying continuous (or fine-grained) data.”
Quote in the paperSubstantial claim - Interpretationreasoning
Polarization is not a single concept but a cluster of distinct senses.
“Though the term “polarization” is frequently invoked to describe patterns in distributions (e.g., in opinion polls), it is not the single concept it is often taken to be.”
Quote in the paperNot a substantial claim - Interpretationnone given
Multiple, vastly different distributions will produce identical measurements for the simple measures.
“4. Multiple, vastly different distributions will be produce identical measurements.”
Quote in the paperSubstantial claim - Interpretationreasoning
If one sets and holds constant the value of a third measure, it may force the first two to become positively or negatively related, depending on the particular measures involved.
“If one sets and holds constant the value of a third measure it may force the first two to become positively or negatively related (depending on the particular measures involved).”
Quote in the paperSubstantial claim - Interpretationnone given
Coverage does not capture the clustering of the data points, which is a separate polarization concept.
“Coverage does not capture the clustering of the data points, which is a separate polarization concept likely crucial for many broader polarization applications.”
Quote in the paperSubstantial claim - Interpretationreasoning
To measure size parity independently of the other senses requires a formalism that is sensitive to the sizes of the groups while being simultaneously insensitive to the number of groups.
“To measure size parity independently of the other senses requires a formalism that is sensitive to the sizes of the groups while being simultaneously insensitive to the number of groups.”
Quote in the paperSubstantial claim - Interpretationreasoning
The described change in party identification can be interpreted as increased polarization in the sense of distinctness.
“If we assume, as most do, that the two major U.S. political parties represent positions toward the left and right sides of a spectrum, and that (at least some of) the independents are between these parties, then we can interpret the described change as increased polarization in the sense of distinctness.”
Quote in the paperNot a substantial claim- The authors state this as an assumption: The two major U.S. political parties represent positions toward the left and right sides of a spectrum, and at least some independents are between these parties.
- Interpretationreasoning
Holding the number of groups constant, a society that has one dominant attitude group with a few small minority outliers is less polarized than one with all similarly sized groups.
“Holding the number of groups constant, a society that has one dominant attitude group with a few small minority outliers is less polarized than one with all similarly sized groups (see Figure 10).”
Quote in the paperSubstantial claim- The authors state this as an assumption: The number of groups is held constant when comparing societies with different group sizes.
- Interpretationreasoning
The resulting p-values for the groups being separate distributions act as measures of the distinctness of the groups.
“The resulting p-values for their being separate distributions act as measures of the distinctness of the groups.”
Quote in the paperSubstantial claim - Interpretationreasoning
The simple measures fail to capture the frequency of attitudes along the spectrum.
“3.They fail to capture the frequency of attitudes along the spectrum;”
Quote in the paperSubstantial claim - Interpretationreasoning
The greater proportion of individuals at the boundary between two neighboring endogenously identified groups, the less distinct the groups are.
“The greater proportion of individuals that exist at this boundary-the ones that are between the two neighboring groups-the less distinct the groups are.”
Quote in the paperSubstantial claim - Premisecitation
In some previous definitions of polarization, a large number of groups indicated a lack of polarization, but their reasoning invoked senses of polarization separated from just the number of groups alone.
“Note that in some previous definitions of polarization, a large number of groups indicated a lack of polarization (e.g., Esteban & Ray, 1994), but their reasoning for such a relationship invoked senses of polarization we have separated from just the consideration of the number of groups alone.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Esteban & Ray, 1994
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Premisereasoning
Discrete coverage as measured by Eq. (3) is an accurate measure of polarization for Axelrod's Dissemination of Culture model precisely because it is categorical.
“Discrete coverage as measured by Eq. ( 3) is also an accurate measure of polarization for Axelrod's Dissemination of Culture model precisely because it is categorical, even though he invokes some of the other concepts below when defining the term (Axelrod 1997).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Axelrod 1997 source
- Interpretationreasoning
This feature will not be picked out and distinguishable from other forms of polarization by approaches using correlation and mean squared errors across time and issues.
“We do not provide that here, but it underlines the need for extending these concepts to measures for higher dimensions because it is clear that this feature will not be picked out and distinguishable from other forms of polarization by approaches using correlation and mean squared errors across time and issues.”
Quote in the paperSubstantial claim - Interpretationreasoning
The simple measures (coverage, spread, regionalization) fail to capture the locations of attitudes.
“2. They fail to capture the locations of the attitudes;”
Quote in the paperSubstantial claim - Premisecitation
Based on Bartels's analysis, distinctness increased in the U.S. voting population from the 1970s to the late 1990s.
“We have already noted in Section 3.6 that based on Bartels's analysis distinctness increased in the U.S. voting population from the 1970s to the late 1990s.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Bartels's analysis
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Interpretationreasoning
When there are multiple groups, and each group is unified in its attitude, then the society is more polarized.
“However, when there are multiple groups, and each group is unified in its attitude, then the society is more polarized.”
Quote in the paperSubstantial claim - Interpretationreasoning
Coverage, spread, and regionalization may be the weakest senses of polarization for many practical reasons.
“Although coverage, spread, and regionalization have appropriate and useful applications, they may be the weakest senses of polarization for many practical reasons:”
Quote in the paperSubstantial claim - Interpretationreasoning
User-defined groups dividing the population at the center line will not generally correspond to endogenously defined groups.
“The center line may cut the distribution at a valley or peak or anyplace else, and so these user-defined groups will not generally correspond to the endogenously defined groups.”
Quote in the paperSubstantial claim - Interpretationreasoning
Ceteris paribus, a society is more polarized when differing attitudes are held by large segments of the population rather than just small fringe groups.
“Although this sense is independent of the particular attitude distributions of the groups, the reasoning here is that (ceteris paribus) a society is more polarized when differing attitudes are held by large segments of the population rather than just small fringe groups.”
Quote in the paperSubstantial claim- The authors state this as an assumption: Other things are equal when comparing societies with different group sizes.
- Interpretationreasoning
These data support a claim that it is in the sense of group consensus, rather than other senses, that polarization is increasing.
“So these data support a claim that it is in the sense of group consensus, rather than other senses, that polarization is increasing.”
Quote in the paperSubstantial claim - Interpretationreasoning
Finding that the mean positions of the parties has not significantly changed does not countervail the claim of polarization because they are picking up different features of the distribution.
“Finding that the mean positions of the parties has not significantly changed does not countervail this claim of polarization because they are picking up different features of the distribution.”
Quote in the paperSubstantial claim - Interpretationreasoning
Different group identification methods yield variants of the interpretations and polarization measures to come.
“Because the measures below require comparisons among subpopulations or sub-distributions, different group identification methods yield variants of the interpretations and polarizations measures to come.”
Quote in the paperSubstantial claim - Interpretationreasoning
Groups that are more unified in their positions are internally less polarized for the same reasons described in Section 3.2 on dispersion.
“Groups that are more unified in their positions are internally less polarized for the same reasons described in Section 3.2 on dispersion.”
Quote in the paperSubstantial claim - Interpretationreasoning
Group consensus may increase even as coverage, population dispersion, distinctness, fragmentation, etc. are all held constant.
“Again recall that this sense is independent of the other senses, so group consensus may increase even as the coverage, population dispersion, distinctness, fragmentation, etc. are all held constant.”
Quote in the paperSubstantial claim - Interpretationreasoning
Divergence captures yet another distinct and independent, though common, notion of polarization.
“Thus divergence captures yet another distinct and independent, though common, notion of polarization.”
Quote in the paperSubstantial claim - Interpretationreasoning
Keeping coverage constant while accommodating increasing spread requires increasing dispersion.
“Similarly, keeping coverage constant while accommodating increasing spread requires increasing dispersion.”
Quote in the paperSubstantial claim- The authors state this as an assumption: The distribution is not completely filling the bounded (between 0 and 1) attitude space.
- Premisecitation
Esteban and Ray's notion of polarization is a combined measure.
“Another example of a combined measure is the notion of polarization used by Estaban and Ray”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Esteban & Ray, 1994
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Interpretationnone given
If each bin initially only has one occupant, then moving occupants to increase spread without changing dispersion may be impossible.
“If each bin initially only has one occupant then moving occupants to increase spread without changing dispersion may be impossible.”
Quote in the paperNot a substantial claim - Interpretationreasoning
Community fragmentation plays a role in bimodality because it is important that there are two distinguishable groups.
“Community fragmentation clearly plays a role because it is important that there are two distinguishable groups.”
Quote in the paperSubstantial claim - Interpretationnone given
Bimodality aggregates at least three (and up to six) distinct senses of polarization.
“Bimodality aggregates at least three (and up to six) distinct senses of polarization”
Quote in the paperNot a substantial claim - Premisenone given
With eight possible responses, the maximum number of endogenously defined groups is four.
“With eight possible responses, it is still the case that the maximum number of endogenously defined groups is four.”
Quote in the paperNot a substantial claim - Premisecitation
Fiorina and Abrams use a bimodality measure for American political opinion by tracing the drop in percent of respondents labeled moderate combined with balanced redistribution to both sides of the moderate position, and accumulation to only one side did not count as a polarizing trend to them.
“Fiorina and Abrams use such a measure for American political opinion by tracing the drop in percent of respondents labeled moderate combined with balanced redistribution to both sides of the moderate position (accumulation to only one side did not count as a polarizing trend to them) (Fiorina et al., 2010).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Fiorina et al., 2010
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Interpretationreasoning
Due to the specifics of Axelrod's model, coverage as defined above succeeds in capturing almost exactly the quantity that he identifies even though his description evokes the other concepts.
“As it turns out, due to the specifics of Axelrod's model, coverage as defined above succeeds in capturing almost exactly the quantity that he identifies even though his description evokes the other concepts.”
Quote in the paperNot a substantial claim - Interpretationreasoning
Increases in the bimodality of a distribution can be broken down into increases in several senses of polarization identified here; that is, it is a combination measure of our building block senses.
“Increases in the bimodality of a distribution can be broken down into increases in several senses of polarization identified here; that is, it is a combination measure of our building block senses.”
Quote in the paperSubstantial claim - Interpretationown data
The religiously separate groups are becoming politically less polarized with respect to their distinctness.
“The religiously separate groups are becoming politically less polarized with respect to their distinctness.”
Quote in the paperSubstantial claim - Study design and conductown data
Because the GSS data used here are not from longitudinal studies, the analysis is not detecting individuals changing their religiosity, but just a reflection of changes in the cross section of social attitudes.
“Because the GSS data used here are not from longitudinal studies, we are not detecting individuals changing their religiosity, but just a reflection of changes in the cross section of social attitudes.”
Quote in the paperNot a substantial claim - Interpretationown data
There is some indication that the average political views of the highly religious and secular groups are crawling away from each other.
“Hence there is some indication that the average political views of the highly religious and secular groups are crawling away from each other.”
Quote in the paperSubstantial claim - Premisecitation
Following Hirschl et al., responses to the BIBLE question from the GSS are a reasonable proxy, or indicator, of respondent religiosity.
“Following Hirschl et al. we adopt responses to the BIBLE question from the GSS as a reasonable proxy, or indicator, of respondent religiosity.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Hirschl et al.
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Interpretationreasoning
The distinctness of the groups is important in bimodality.
“The distinctness of those groups is also important”
Quote in the paperSubstantial claim - Interpretationreasoning
Group divergence and spread are included in bimodality because these increase when equal numbers of responses move to both sides (but less so when they move disproportionately to one side).
“Group divergence and spread are also included because these increase when equal numbers of responses move to both sides (but less so when they move disproportionately to one side).”
Quote in the paperSubstantial claim - Interpretationreasoning
Changes in size parity are measures of the polarization of political views through changes in religiosity rather than changes in political views.
“changes in size parity are measures of the polarization of political views through changes in religiosity rather than changes in political views.”
Quote in the paperSubstantial claim - Interpretationreasoning
The problem with bimodality as a combination measure is that, while looking at the same data series, one author can claim that bimodality is increasing while another claims it is decreasing.
“but the problem with this combination is that, while looking at the same data series, one author can claim that bimodality is increasing while another claims it is decreasing.”
Quote in the paperSubstantial claim - Interpretationnone given
Bimodality is not the only extant polarization measure that can be easily broken down.
“Bimodality is not the only extant polarization measure that can be easily broken down.”
Quote in the paperNot a substantial claim - Interpretationown data
None of the measures show high degrees of fluctuation or dramatic trends, so any claim to polarization of political views by religiosity must be weak.
“None of the measures show high degrees of fluctuation or dramatic trends, so any claim to polarization of political views by religiosity must be weak.”
Quote in the paperSubstantial claim - Interpretationreasoning
The endogenous analysis uncovers the formation of distinct lumps in the distribution corresponding to these religiosity groups as they move further away from each other.
“The endogenous analysis uncovers the formation of distinct lumps in the distribution corresponding to these religiosity groups as they move further away from each other.”
Quote in the paperSubstantial claim - Interpretationreasoning
It is surprising that the separation of the religious groups with respect to their political views sufficiently (though not necessarily) explains the appearance of new modes in the political views distribution.
“it is surprising that the separation of the religious groups with respect to their political views sufficiently (though not necessarily) explains the appearance of new modes in the political views distribution.”
Quote in the paperNot a substantial claim - Interpretationown data
The senses in which polarization is evident are not those commonly detected.
“The senses in which polarization is evident are not those commonly detected.”
Quote in the paperSubstantial claim- Rests on an assumption: The GSS data and SDA composite weights yield valid estimates of Americans' attitudes.
- Interpretationreasoning
Popular measures of polarization are not of an unambiguously decomposable type that we suggest.
“popular measures of polarization are not of an unambiguously decomposable type that we suggest.”
Quote in the paperSubstantial claim - Interpretationreasoning
The groups of attitudes about abortion are 2-3 times more distinct than the ones for political views.
“The groups of attitudes about abortion are 2-3 times more distinct than the ones for political views.”
Quote in the paperSubstantial claim - Interpretationown data
The exaggerated perception of a political divide in the United States may derive in part from an emphasis on issues, like abortion, which do reveal a clean split in attitudes held by groups with other salient differences (e.g., religiosity).
“The exaggerated perception of a political divide in the United States may derive in part from an emphasis on issues, like abortion, which do reveal a clean split in attitudes held by groups with other salient differences (e.g., religiosity).”
Quote in the paperSubstantial claim- Rests on an assumption: The GSS data and SDA composite weights yield valid estimates of Americans' attitudes.
- Interpretationown data
Across more senses of polarization, people's views toward abortion are more polarized than their political views when groups are defined endogenously.
“The overall result is that across more senses of polarization, people's views toward abortion are more polarized than their political views when groups are defined endogenously.”
Quote in the paperSubstantial claim - Interpretationreasoning
The overwhelming conclusion is that there is no substantial increase or decrease in polarization levels in any sense with respect to Americans' views towards abortion rights.
“The overwhelming conclusion is that there is no substantial increase or decrease in polarization levels in any sense with respect to American's views towards abortion rights.”
Quote in the paperSubstantial claim- Rests on an assumption: The GSS samples are representative of the American population, so trends in GSS responses describe Americans' political views and abortion opinions.
- Interpretationown data
People's attitudes are consistently more polarized about abortion than political views in the sense of divergence.
“Thus people's attitudes are consistently more polarized about abortion than political views in the sense of divergence.”
Quote in the paperSubstantial claim - Interpretationreasoning
The religious groups explain (in a quantitative way) the modes in the distribution of political views better than those found in the abortion data.
“the religious groups explain (in a quantitative way) the modes in the distribution of political views better than those found in the abortion data.”
Quote in the paperSubstantial claim
- May combine two claims. 96
- Classified as probably not a substantial claim. 87
May combine two claims.
PremisecitationIn the early 1970s, both Senators and Congressmen voted along party lines about 65% of the time; in the early 2000s, that had increased to over 85%.
“In the early 1970s, both Senators and Congressmen voted along party lines about 65% of the time; in the early 2000s, that had increased to over 85% (McCarty et al., 2008).”
Quote in the paperSubstantial claim1 of 1 sources checked- cites McCarty et al., 2008
The Abstract describes a shift toward more divisive politics beginning in the mid-1970s, and “Insert Figures 3 and 4 About Here” says the parties’ positions moved apart in both chambers. Our copy does not give the claimed 65% and over-85% rates of voting along party lines; its near-90% figures refer instead to how well a spatial model classifies votes. (LLM, conf=0.82)
Experimental — accuracy not yet measured
Probably not a substantial claim: may not pass S3 (load-bearing), S4 (based).
Findingnone givenThe trend in attitudes toward abortion is not strong.
“Although we will later see that the trend is not strong, it is the case that attitudes toward abortion between 1970 and 1990 (shown in Figure 1) reflect high levels of polarization in the sense of distinctness because few individuals hold positions between the two large groups.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
FindingreasoningIn Figure 5(a), the subdistributions on the left are clustered together and as a result the distribution is less polarized than in (b) when they are not.
“What this diagram makes clear is that in (a) the subdistributions on the left are clustered together and as a result the distribution is less polarized than in (b) when they are not.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataIn the data analysis presented in Section 6, we find cases in which the peak and valley differ only by a few responses, but this is sufficient to reveal an additional group.
“In the data analysis presented in Section 6 we find cases in which the peak and valley differ only by a few responses, but this is sufficient to reveal an additional group.”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim. May combine two claims.
Findingnone givenThe paper's formal measures up to this point either ignore groups completely or focus on in-group aggregates and comparisons of group means.
“Our formal measures up to this point either ignore groups completely or focus on in-group aggregates and comparisons of group means.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataGroup divergence value in 1984 is 0.1170, and in 2012 is 0.1774; the rise is not monotonic, but only two years prior to 1996 reached above 0.12, while every year after 1996 scored above 0.12.
“The value in 1984 is 0.1170, and the value in 2012 is 0.1774; although the rise is not monotonic, it is the case that only two years prior to 1996 reached above 0.12, while every year after 1996 scored above 0.12.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataIn 1996, the proportion of respondents who described themselves as strictly conservative increased from 16.3% to 18.4%, putting that bin above the proportion who described themselves as slightly conservative (which went from 16.6% to 16.7%), creating a new peak at the conservative bin.
“in 1996 the proportion of respondents who described themselves as strictly conservative increased from 16.3% to 18.4%, which put that bin above the proportion who described themselves as slightly conservative (which went from 16.6% to 16.7%) creating a new peak at the conservative bin.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataGroup consensus reveals a more consistently downward trend, but the difference in values is too small to make any conclusions.
“Group consensus reveals a more consistently downward trend, but the difference in values is too small to make any conclusions.”
Quote in the paperNot a substantial claimMay combine two claims.
FindingreasoningIn 2012 the single group divide is at the bin representing slightly liberal, and the conservative and moderates are all in a group together.
“In 2012 the single group divide is at the bin representing slightly liberal, and the conservative and moderates are all in a group together.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Findingnone givenIn some years the number of respondents is fewer than 700 (in weighted terms), while in other years it is greater than 2,000.
“In some years the number of respondents is fewer than 700 (in weighted terms), while in other years it is greater than 2,000.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataThe actual number of mode-defined groups for abortion opinions is consistently three (except in 1990 when there are four and in 2008 when there are two), but the locations of the minima that separate these groups constantly change locations.
“The actual number of mode-defined groups is consistently three (except in 1990 when there are four and in 2008 when there are two), but the locations of the minima that separate these groups constantly change locations.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S4 (based).
Findingnone givenThe overall population is not appreciably drifting apart as measured by population dispersion and group divergence.
“the overall population is not appreciably drifting apart (as measured by population dispersion and group divergence)”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataAlthough there were sometimes two and sometimes three groups after 1996, there is no clear increasing or decreasing pattern in the number of groups.
“Although there is sometimes two and sometimes three groups after 1996, there is no clear increasing or decreasing pattern.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataThe number of endogenously defined groups, as well as the measures across those groups, undergo a striking and lasting shift in 1996.
“The number of endogenously defined groups, as well as the measures across those groups, undergo a striking and lasting shift in 1996”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataWhen strictly measured, the number of modes in the abortion data is only equal to two in a single year; the data are not bimodal.
“when strictly measured, the number of modes in the data is only equal to two in a single year: strictly, speaking, the data are not bimodal.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataDistinctness went from a high of 0.7175 in 2002 down to 0.6548 in 2012, meaning that there was an 8.68% increase in the average amount of overlapping responses among the groups.
“Distinctness went from a high of 0.7175 in 2002 down to 0.6548 in 2012, meaning that there was an 8.68% increase in the average amount of overlapping responses among the groups.”
Quote in the paperNot a substantial claimMay combine two claims.
FindingreasoningFrom 1996 to 2010 there is a group divide at slightly conservative, and the size parity jumps when a third group also forms (in 2000, 2008, and 2010).
“From 1996 to 2010 there is a group divide at slightly conservative, and the size parity jumps when a third group also forms (in 2000, 2008, and 2010).”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataFor the POLVIEWS political views data, population dispersion climbs slightly, but not monotonically, from 1984 to 2012, a slow and steady increase despite abrupt changes in the shape of the distribution picked up by other measures.
“The population dispersion climbs slightly, but not monotonically, from 1984 to 2012”
- Also stated in: § 6.1. Political polarization · plain
“The population dispersion experiences a slow and steady increase despite the abrupt changes in the shape of the distribution picked up by other measures.”
Quote in the paperSubstantial claim- Rests on an assumption: The POLVIEWS 1-7 scale validly measures general political views.
- Also stated in: § 6.1. Political polarization · plain
May combine two claims.
Findingown dataWithin the timespan for which groups are observed (1996-2012), group divergence, distinctness, consensus, and size parity do not consistently change, so the only sense in which the population polarized is community fragmentation.
“group divergence, distinctness, consensus, and size parity do not consistently change, so we have just one sense in which the population polarized: community fragmentation.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataCommunity fragmentation has a constant value of three for the exogenous analysis, but reveals the greatest change in polarization for the endogenous case.
“This variable has a constant value of three for the exogenous analysis, but reveals the greatest change in polarization for the endogenous case.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataThe Inspired Word group experienced an up-swell between 1994 and 2008, keeping it roughly in the middle.
“The Inspired Word group experienced an up-swell between 1994 and 2008, keeping it roughly in the middle.”
Quote in the paperNot a substantial claimMay combine two claims.
FindingreasoningAs a result of the moving valleys, the responses included in each group are constantly shifting, and this produces volatile group-based measure values.
“As a result of the moving valleys, the responses included in each group are constantly shifting, and this produces volatile group-based measure values.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataIn the abortion-by-religiosity analysis, there are no stark trends, and only divergence reveals sharply erratic patterns.
“Again there are no stark trends, and only divergence reveals sharply erratic patterns.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataWhen broken down by BIBLE, in 1984 there are no respondents who chose extremely conservative and answered that the bible is a book of fables, and that is the only empty bin.
“When broken down by BIBLE, in 1984 there are no respondents who chose extremely conservative and answered that the bible is a book of fablesand that is the only empty bin.”
Quote in the paperNot a substantial claim- Rests on an assumption: The GSS data and SDA composite weights yield valid estimates of Americans' attitudes.
May combine two claims.
Findingnone givenFor political views there was just one mode until 1996, with demarcation lines highly consistent afterward.
“For political views there was just one mode until 1996, with demarcation lines highly consistent afterward.”
Quote in the paperSubstantial claimMay combine two claims.
Findingnone givenAlong with that change, the group sizes are becoming more equalized; fewer individuals take the Bible literally and more consider it a book of fables, although the latter remains the smallest group.
“Along with that change we see the group sizes becoming more equalized; fewer individuals take it literally and more consider it a book of fables (although the latter remains the smallest group).”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataThe population dispersion shows a slight increasing trend, although the magnitude of the increase is too small to make any claims of significance.
“The population dispersion does show a slight increasing trend, although the magnitude of the increase is too small to make any claims of significance.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingnone givenThe shifting third group (sometimes between the two dominant groups and sometimes at the far conservative side) is always small (typically less than 10%), but the size parity measure still consistently scores around 90%.
“The shifting third group (which is sometimes between the two dominant groups and sometimes at the far conservative side) is always small (typically less than 10%), but the size parity measure still consistently scores around 90%.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataSize parity is similar for the two datasets-staying in the high 80s and low 90s-although the political views data are more volatile.
“Size parity is similar for the two datasets-staying in the high 80s and low 90salthough the political views data are more volatile.”
Quote in the paperNot a substantial claimMay combine two claims.
FindingreasoningIn the abortion-by-religiosity analysis, the population dispersion is unchanged, and the group size parity is the same as in the POLVIEWS analysis because the exogenously defined groups are identical.
“Naturally the population dispersion is unchanged, and the group size parity is the same as in the POLVIEWS analysis because the exogenously defined groups are identical.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataThe across-time average group divergence for abortion is nearly three times the group divergence for political views (0.3715 versus 0.1307), but groups in both data have similar concentrations around their means (average consensus is 0.5564 versus 0.5985).
“The across-time average group divergence for abortion is nearly three times the group divergence for political views (0.3715 versus 0.1307), but groups in both data have similar concentrations around their means (average consensus is 0.5564 versus 0.5985).”
Quote in the paperSubstantial claimMay combine two claims.
FindingreasoningAlthough views on abortion are cleanly separated at the population level, when broken down by religious categories they are actually less polarized in the senses of consensus, divergence, and distinctness but not of size parity.
“Although views on abortion are cleanly separated at the population level, when broken down by religious categories they are actually less polarized in the senses of consensus, divergence, and distinctness but not of size parity.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataThe exogenous analysis reveals that increasing religiosity correlates well with increasingly conservative political views, but that the mean positions of these three groups have been slowly diverging.
“the exogenous analysis reveals that increasing religiosity correlates well with increasingly conservative political views, but that the mean positions of these three groups have been slowly diverging.”
Quote in the paperSubstantial claimMay combine two claims.
FindingreasoningThe intergroup positions for political views were largely consistent even as the number changed, but the demarcation lines were constantly in flux for abortion despite the consistent number of groups.
“Also, the intergroup positions for political views were largely consistent even as the number changed, but the demarcation lines were constantly in flux for abortion despite the consistent number of groups.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Findingown dataFor the abortion analysis, there are a few scattered empty bins for the book of fables group.
“For the abortion analysis below, there are a few scattered empty bins for the book of fables group, likely the result of low sample size in some years.”
Quote in the paperNot a substantial claim- Rests on an assumption: The GSS data and SDA composite weights yield valid estimates of Americans' attitudes.
May combine two claims.
Findingown dataAbortion opinion group consensus has a slightly wider range around a slightly higher value of 0.88.
“Abortion opinion group consensus has a slightly wider range around a slightly higher value of 0.88.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataThe distinctness of endogenous groups is consistently very high (near 95%) for abortion, but consistently near 86% for political views.
“the distinctness of these endogenous groups is consistently very high (near 95%) for abortion, but consistently near 86% for political views.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataThere are weak trends, but also weak trends of decreasing polarization in some senses.
“There are weak trends, but also weak trends of decreasing polarization in some senses.”
Quote in the paperSubstantial claim- Rests on an assumption: The GSS data and SDA composite weights yield valid estimates of Americans' attitudes.
May combine two claims.
Findingown dataGroup divergence is volatile for both datasets: political views toggles between 0.40 and 0.63 depending on the number of groups; abortion tumbles between 0.637 and 0.952 without being tightly coupled to the number of groups.
“Group divergence (normalized distance among group means) is volatile for both datasets: political views toggles between 0.40 and 0.63 depending on the number of groups; while abortion tumbles between 0.637 and 0.952 without being tightly coupled to the number of groups.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataThere are two dominant peaks, but the distribution of abortion opinions is typically trimodal.
“There are two dominant peaks, but the distribution is typically trimodal.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataThe paper's polarization analysis found few clear trends for any segment of the data and no strong trends of increasing or decreasing polarization for political views or abortion from 1984 to 2012.
“The result of our polarization analysis is that there are few clear trends for any segment of the data, and no strong trends of increasing or decreasing polarization for political views or abortion from 1984 to 2012.”
Quote in the paperSubstantial claim- Rests on an assumption: The GSS data and SDA composite weights yield valid estimates of Americans' attitudes.
May combine two claims.
Findingown dataThe average distinctness of the groups for abortion opinions is 0.7394, and for political views it is 0.6886.
“The average distinctness of the groups for abortion opinions is 0.7394, and for political views it is 0.6886.”
Quote in the paperSubstantial claimMay combine two claims.
FindingreasoningThe gradual increase in dispersion only amounts to a 5.85% change, and the increase is not monotonic.
“The gradual increase only amounts to a 5.85% change in dispersion, and the increase is not monotonic.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Findingown dataFor the political views data taken together, no bins are empty.
“For the political views data taken together, no bins are empty.”
Quote in the paperNot a substantial claim- Rests on an assumption: The GSS data and SDA composite weights yield valid estimates of Americans' attitudes.
May combine two claims.
FindingreasoningOn average there are 2.5% of responses in the bins between groups for abortion and between 5 and 7% for political views.
“on average there are 2.5% of responses in the bins between groups for abortion and between 5 and 7% for political views.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataOur preliminary polarization analysis of the DW-nominate data revealed larger and clearer differences for both endogenous and party-defined exogenous groups.
“Our preliminary polarization analysis of the DW-nominate data revealed larger and clearer differences for both endogenous and party-defined exogenous groups.”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim.
InterpretationreasoningThe numbers produced by the measures are not informative in isolation; they gain meaning as relative values through comparisons.
“The numbers produced by our measures are not intended to be informative in isolation; rather, they gain their meaning as relative values through comparisons (i.e., being more or less polarized).”
Quote in the paperSubstantial claimClassified as probably not a substantial claim.
InterpretationreasoningWhen authors say a system has "become polarized," this means the value for some measure(s) has gone from a low to a comparatively high value, a quantitative increase rather than a qualitative shift.
“A further corollary of our quantitative measurement approach is that when authors say of a system that it has “become polarized” this simply means that the value for some measure(s) has gone from a low to a comparatively high value.That is, it is a quantitative increase rather than being a qualitative shift implying that it possesses a new property.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S4 (based).
Interpretationnone givenFor each of the other measures, an example can be generated that demonstrates its independence.
“However, for each of the other measures here an example can be generated that demonstrates its independence (see Section 4 for more information about measure independence).”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
InterpretationreasoningThe histogram representation can also capture more open-ended questions and household income values through binning or density functions.
“It can also be used to capture more open-ended questions (e.g., “what percentage of the federal budget should be spent on education?”)and household income values through binning or density functions.”
Quote in the paperNot a substantial claimMay combine two claims.
InterpretationreasoningThe discrete coverage measure does not rely on any distance measure or ordering of the values, and therefore is appropriate for categorical data.
“Note that this discrete measure does not rely on any distance measure or ordering of the values, and therefore is also appropriate for categorical data.”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim.
Interpretationnone givenThe measures provided are properties of a distribution that can be captured at any time-slice of the system.
“The measures we provide here are properties of a distribution that can be captured at any time-slice of the system.”
Quote in the paperSubstantial claimMay combine two claims.
PremisecitationThe abortion attitude data in Figure 1 are trimodal in most years, with a liberal group, a central group, and a third group on the far conservative side.
“furthermore, in most years there is a third group created by an upturn on the far conservative (right) side.So in this strict sense that data is trimodal and would result in a measure of three groups for most years.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites DiMaggio et al., 1996 source
Classified as probably not a substantial claim.
Interpretationnone givenSpread and dispersion as defined here are clearly distinct polarization concepts.
“Just being “far apart” is not as precise as it could be because although spread is also a measure of statistical dispersion, spread and dispersion as defined here are clearly distinct polarization concepts.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationThe scenario in Figure 1 (abortion attitudes) has been identified as a clear case of polarization by DiMaggio et al. (1996) and others.
“The scenario in Figure 1 has been identified as a clear case of polarization by DiMaggio et al. (1996) and others.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites DiMaggio et al. (1996) source
Probably not a substantial claim: may not pass S3 (load-bearing).
Interpretationnone givenThe histogram representation naturally captures Likert scale data recovered from surveys and opinion polls.
“This representation naturally captures the Likert scale data recovered from surveys and opinion polls.”
Quote in the paperNot a substantial claimMay combine two claims.
PremisecitationExisting formal measures of polarization are often specific to the analyzed dataset or topic, not fully formalized, not evaluated against other measures, or composite of the measures presented here.
“In those cases in which a formal measure is provided (see Christen, Ott, & Schwarz, 2013;DiMaggio et al., 1996;Fiorina et al., 2010;Estaban & Ray 2012), it may be specific to the analyzed dataset or topic of interest, not fully formalized, not evaluated compared to other measures and/or presented as a measure that is a composite of the measures presented here.”
Quote in the paperSubstantial claim0 of 3 sources checkedClassified as probably not a substantial claim.
PremisecitationThe term polarization is sometimes used to refer to a static property and sometimes to a process.
“The term polarization is sometimes used to refer to a static property and sometimes a process (DiMaggio et al., 1996).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites DiMaggio et al., 1996 source
Classified as probably not a substantial claim. May combine two claims.
Interpretationnone givenSome particular measures provided will not work for every type of data (e.g., categorical or overly coarse-grained), but they provide clarity on conceptual distinctions and are applicable to histograms from surveys and simulation outputs of models with epistemic agents.
“Although some of the particular measures provided here will not work in capturing the distinct senses of polarization in every type of data (e.g., categorical or overly coarse-grained data), they should provide clarity on the conceptual distinctions and are applicable to two key forms of data: histograms of attitude distributions from surveys and simulation outputs of models with epistemic agents.”
Quote in the paperSubstantial claimClassified as probably not a substantial claim. May combine two claims.
InterpretationreasoningThe formalism for the measures depends only on features of the distribution and not on what the distribution represents, so the properties can be anything that admits cardinal values.
“These properties can be anything that admits cardinal values because our formalism only depends on features of the distribution and not on what that distribution represents.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
InterpretationreasoningIdentifying groups by local minima precludes subpopulations from overlapping because group boundaries are defined by the local minima in the distributions.
“Identifying groups in this way precludes the subpopulations from overlapping because group boundaries are defined by the local minima in the distributions.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S2 (checkable).
InterpretationreasoningBecause these measures were not as finely defined in their work, their analysis fails to separate the distinct senses.
“That is, because these measures were not as finely defined in their work, their analysis fails to separate the distinct senses.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing), S4 (based). May combine two claims.
Interpretationnone givenCoverage is a crude measure of diversity, and there is a linkage between a diversity of attitudes and those attitudes being polarized.
“Coverage is actually a crude measure of diversity, and there is a linkage between a diversity of attitudes and those attitudes being polarized (explored in other work).”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim.
Interpretationnone givenEndogenous distinctness among any number of revealed groups can be calculated via formula (7).
“Endogenous distinctness among any number of revealed groups can be calculated via the following formula:”
Quote in the paperSubstantial claimMay combine two claims.
InterpretationreasoningAs the population of each group becomes more focused on a few attitudes, the closer the average distance to the mean is within each group, and the more polarized the population.
“As the population of each group becomes more focused on a few attitudes, the closer the average distance to the mean is within each group, and the more polarized the population (as illustrated in Figure 9).”
Quote in the paperSubstantial claimClassified as probably not a substantial claim.
InterpretationreasoningThe measures below require comparisons among subpopulations or sub-distributions.
“Because the measures below require comparisons among subpopulations or sub-distributions, different group identification methods yield variants of the interpretations and polarizations measures to come.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationRepublicans have become more consistent on economic and civil rights issues.
“In fact, Republicans have become more consistent on economic and civil rights issues, while Democrats have lost constraint on these issues and become a bit more coherent in their moral views.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Baldassarri & Gelman, 2008 source
May combine two claims.
PremisecitationBartels' analysis of voting behavior and party identification from 1952 to 1996 reveals that the strength and importance of party identification for voting behavior dropped in the 1960s and 1970s and has rebounded through the 1980s and 1990s.
“Bartels' analysis of voting behavior and party identification from 1952 to 1996 reveals that the strength and importance of party identification for voting behavior dropped in the 1960s and 1970s and has rebounded through the 1980s and 1990s.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Bartels, 2000 source
Probably not a substantial claim: may not pass S3 (load-bearing).
InterpretationreasoningFormula (6) determines the proportion of the overlap of two distributions by normalizing the sum of the values at each bin of whichever distribution has a lower value in that bin.
“This formula determines the proportion of the overlap of two distributions by normalizing the sum of the values at each bin of whichever distribution has a lower value in that bin.”
Quote in the paperNot a substantial claimMay combine two claims.
InterpretationreasoningThe frequency of individuals at the locations of the parties has increased while the frequency of individuals between them has decreased.
“The frequency of individuals at the locations of the parties has increased while the frequency of individuals between them has decreased.”
Quote in the paperSubstantial claim- The authors state this as an assumption: The two major U.S. political parties represent positions toward the left and right sides of a spectrum, and at least some independents are between these parties.
Probably not a substantial claim: may not pass S3 (load-bearing), S4 (based).
Interpretationnone givenThe number of groups acts as a distinct sense of polarization.
“While the number of groups acts as a distinct sense of polarization, the group identification methods described above also play a role in the measures that follow.”
Quote in the paperNot a substantial claimMay combine two claims.
InterpretationreasoningA normalized entropy measure fits the description of a size parity measure exactly, although for endogenously defined groups this measure may be erratic when the groups change and/or shift boundary bins.
“A normalized entropy measure fits this description exactly, although for endogenously defined groups this measure may be erratic when the groups change and/or shift boundary bins.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S2 (checkable). May combine two claims.
InterpretationcitationThese findings require a multidimensional issue space and a measure of consensus that aggregates for each party how they have changed across all the issues.
“Clearly these require a multidimensional issue space and a measure of consensus that aggregates for each each party how they have changed across all the issues.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S2 (checkable), S3 (load-bearing).
Interpretationnone givenA less elegant measure of the exogenous distinctness of two groups is provided by formula (6).
“A less elegant measure of the exogenous distinctness of two groups (but one that is useful for our intended data from surveys and agent-based models) is provided by:”
Quote in the paperNot a substantial claimMay combine two claims.
InterpretationreasoningAny change that increases the distance of the means will increase divergence, which can also be accomplished while holding spread, coverage, distinctness, etc. constant.
“However, any change that increases the distance of the means will increase divergence, which can also be accomplished while holding spread, coverage, distinctness, etc. constant (as depicted in Figure 8).”
Quote in the paperSubstantial claimMay combine two claims.
Interpretationown dataIn the sense of size parity (and in the sense of population dispersion), polarization regarding women's rights has significantly decreased; society has both moved to greater equality and become more unified (less polarized) on this position.
“In this sense (and in the sense of population dispersion) the polarization regarding women's rights has significantly decreased-society has both moved to greater equality and become more unified (less polarized) on this position.”
Quote in the paperSubstantial claimMay combine two claims.
InterpretationreasoningThe increase in party-line voting does not imply that the two parties overlap less on the issue space or that they are moving further apart, but it does imply that individuals within the groups are moving closer to the center of their respective groups.
“That fact itself does not imply that the two parties overlap less on the issue space, or that they are moving further apart, but it does imply that individuals within the groups are moving closer to the center of their respective groups.”
Quote in the paperSubstantial claimClassified as probably not a substantial claim.
InterpretationreasoningGroup consensus for polarization can be measured via any of the previously considered measures of population dispersion: aggregated in-group absolute deviations, variances, pairwise distances, or even aggregated group spreads.
“Group consensus for polarization can be measured via any of the previously considered measures of population dispersion: aggregated in-group absolute deviations, variances, pairwise distances, or even aggregated group spreads.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S2 (checkable), S3 (load-bearing).
InterpretationreasoningSince some flat areas may be plateaus or outcroppings from a slope, accounting for this detail in identifying only ranges of minima in a simple formula is not possible.
“Since some flat areas may be plateaus or outcroppings from a slope, accounting for this detail in identifying only ranges of minima in a simple formula is not possible.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing), S4 (based).
Interpretationnone givenMeasures for polarization on spatial and network data require different formalisms even for the same senses presented here.
“Measures for polarization on spatial and network data require different formalisms even for the same senses presented here.”
Quote in the paperNot a substantial claimMay combine two claims.
InterpretationreasoningThe ad hoc way of distinguishing groups by center line always picks out the same number of groups, so it is not a measure of fragmentation.
“Furthermore, because this ad hoc way of distinguishing groups is data-specific and userdefined, it always picks out the same number of groups (so it is not a measure of the fragmentation).”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationIn both groups of voters, the constraint is growing faster than in the populace as a whole.
“In both groups of voters, the constraint is growing faster than in the populace as a whole”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Baldassarri & Gelman, 2008 source
Probably not a substantial claim: may not pass S3 (load-bearing).
InterpretationreasoningThe group identification methods described above play a role in the measures that follow.
“While the number of groups acts as a distinct sense of polarization, the group identification methods described above also play a role in the measures that follow.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Interpretationnone givenIf the groups are exogenously defined, the overlap between groups works as a pairwise comparison.
“If the groups are exogenously defined then the overlap between groups (the number of individuals in group A that match attitude values with individuals in group B) works as a pairwise comparison.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing), S4 (based).
Interpretationnone givenMany network, grid, or spatial scenarios allow for degrees of group membership resulting in noninteger numbers of groups and partial group membership.
“Furthermore, many of these scenarios allow for degrees of group membership resulting in noninteger numbers of groups and partial group membership.”
Quote in the paperNot a substantial claimMay combine two claims.
Interpretationnone givenIf both spread and coverage were 100% of a bounded region, then decreasing spread would imply a decrease in coverage, although the reverse is not true.
“If both spread and coverage were 100% of a bounded region, then decreasing spread would imply a decrease in coverage, although the reverse is not true.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing), S4 (based). May combine two claims.
InterpretationcitationThat and other versions are explicitly temporal measures with more restrictions, but they are conceptually the same.
“That and other versions are explicitly temporal measures with more restrictions, but they are conceptually the same.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S4 (based).
InterpretationreasoningFor endogenously defined groups, the number of group boundaries is G-1, so we normalize by dividing by this number to take out the effect of a greater number of groups.
“For endogenously defined groups, the number of group boundaries is G-1, so we normalize by dividing by this number to take out the effect of a greater number of groups.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S4 (based).
Interpretationnone givenWhen there are more than two groups in the analysis, some aggregation of the pairwise comparisons must be made that also keeps the measure insensitive to the number of groups and the group size disparities.
“When there are more than two groups in the analysis, some aggregation of the pairwise comparisons must be made that also keeps the measure insensitive to the number of groups and the group size disparities.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Interpretationnone givenExogenously defined groups provide a way to include categorical data into the analysis framework as long as it is paired with at least one property that holds ordered values along a spectrum.
“Exogenously defined groups provide a way to include categorical data into our analysis framework as long as it is paired with at least one property that holds ordered values along a spectrum.”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim.
PremisecitationBaldassarri and Gelman further note increased consensus among voters in terms of particular issue domains.
“Baldassarri and Gelman further note increased consensus among voters in terms of particular issue domains.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Baldassarri & Gelman, 2008 source
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationOther researches have examined the interaction terms of the group means and the year.
“Other researches have examined the interaction terms of the group means and the year (Page &, Shapiro 1992).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Page &, Shapiro 1992
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
Probably not a substantial claim: may not pass S3 (load-bearing), S4 (based).
InterpretationreasoningThe relationship between group consensus and polarization holds whether it is the same set of attitudes for both groups or for other areas along the spectrum.
“This holds whether it is the same set of attitudes for both groups or for other areas along the spectrum.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing), S4 (based).
Interpretationnone givenIn applications to higher-dimensional data, endogenously defining groups requires finding the manifolds of the distribution, a well-defined but much more complicated procedure.
“In applications to higher-dimensional data, endogenously defining the groups requires finding the manifolds of the distributiona well-defined, but much more complicated, similar procedure.”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim.
PremisecitationBaldassarri and Gelman found clear evidence of increasing constraint within issue domains among Republican and Democratic voters, especially among Republicans.
“Looking separately at trends among Republican and Democratic voters we find clear evidence of increasing constraint within issue domains, especially among Republicans.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Baldassarri & Gelman, 2008 source
Classified as probably not a substantial claim. May combine two claims.
InterpretationreasoningOur measure tracks the aggregate distances among group means at each time slice, which can then be compared across variables or time.
“Our measure tracks the aggregate distances among group means at each time slice, which can then be compared across variables or time.”
Quote in the paperSubstantial claimMay combine two claims.
InterpretationreasoningSeparate groups that are individually more diffuse already admit to a variety of attitudes, so the less consensus held by each group the lower the polarization.
“Separate groups that are individually more diffuse already admit to a variety of attitudes, so the less consensus held by each group the lower the polarization.”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim.
PremisecitationThe Kolmogorov-Smirnov two-sample test is a nonparametric way to examine two sets of data and determines the probability that they were drawn from the same distribution, without making any assumptions about what those distributions might be.
“The KS test is a nonparametric way to examine two sets of data and determines the probability that they were drawn from the same distribution, without making any assumptions about what those distributions might be.”
Quote in the paperSubstantial claim0 of 2 sources checkedProbably not a substantial claim: may not pass S2 (checkable), S3 (load-bearing).
Interpretationnone givenThe continuous version of coverage is more valuable when using large datasets for which fine resolution is appropriate and for which the selection of bins biases the results.
“The continuous version is more valuable when using large datasets for which fine resolution is appropriate and for which the selection of bins biases the results.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationDemocrats have lost constraint on economic and civil rights issues and become a bit more coherent in their moral views.
“In fact, Republicans have become more consistent on economic and civil rights issues, while Democrats have lost constraint on these issues and become a bit more coherent in their moral views.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Baldassarri & Gelman, 2008 source
Probably not a substantial claim: may not pass S2 (checkable), S3 (load-bearing).
InterpretationreasoningThe examples above from both DiMaggio et al. and Bartels for distinctness also slide into divergence.
“The examples above from both DiMaggio et al. and Bartels for distinctness also slide into divergence.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S2 (checkable), S3 (load-bearing), S4 (based). May combine two claims.
Interpretationnone givenFor our current purposes it is sufficient to use the normalized distances among the group means, or the area of the convex hull of the means for more than two groups in more than two dimensions.
“For our current purposes it is sufficient to use the normalized distances among the group means (or the area of the convex hull of the means for more than two groups in more than two dimensions).”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim.
InterpretationreasoningFor the community fragmentation sense as a measure of polarization, the number of groups must not be known a priori because that is the feature being measured.
“It is important for this sense as a measure of polarization that the number of groups is not known a priori because that is the feature being measured.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S2 (checkable), S3 (load-bearing), S4 (based).
Interpretationnone givenCoverage is valuable for categorical data, especially when data are sparse.
“Though crude, coverage is valuable for categorical data, especially when data are sparse (i.e., the number of observations is small relative to the number of bins/categories).”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S2 (checkable). May combine two claims.
InterpretationreasoningAlthough there are changes in the number of exogenous groups across time and locations, the endogenous sense is more useful as a measure.
“It is therefore clear that although there are changes in the number of exogenous groups across time and locations, it is the endogenous sense that is more useful as a measure.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing), S4 (based).
Interpretationnone givenThe normalized distances among group means measure is applicable whether the groups are defined endogenously or exogenously.
“This measure is applicable whether the groups are defined endogenously or exogenously.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductown dataThe paper does not take account of response rate variance in its measures.
“We do not take account of this response rate variance in our measures.”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim.
Premisenone givenThe GSS contains responses to questions on a broad spectrum of topics, including many that are critical for understanding trends in political and social attitudes.
“The GSS contains responses to questions on a broad spectrum of topics, including many that are critical for understanding trends in political and social attitudes.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
InterpretationreasoningNeither group consensus nor size parity are explicitly invoked with bimodality.
“Neither group consensus nor size parity are explicitly invoked with bimodality”
Quote in the paperNot a substantial claimMay combine two claims.
Interpretationown dataAlthough the supposed religious divide exists and is reflected in the groups' political views, it is only slowly widening.
“although the supposed religious divide certainly exists and is reflected in the groups' political views, it is only slowly widening.”
Quote in the paperSubstantial claimClassified as probably not a substantial claim.
InterpretationreasoningAddressing polarization in a broader topic (such as women's rights, religiosity, or intellectualism) typically requires inferences from examining patterns in multiple questions.
“addressing polarization in a broader topic (such as women's rights, religiosity, or intellectualism) typically requires inferences from examining patterns in multiple questions.”
Quote in the paperSubstantial claimClassified as probably not a substantial claim.
InterpretationcitationEsteban and Ray's version of polarization combines at least three senses in the paper's breakdown: there needs to be at least two discernible groups that are both widely divergent and have a strong group consensus.
“This version of polarization combines (at least) three senses in our breakdown: (1) there needs to be at least two discernible groups that are both (2) widely divergent and (3) have a strong group consensus.”
Quote in the paperSubstantial claimMay combine two claims.
Interpretationown dataSince the lowest value of size parity occurs in 2002, we cannot make the claim that there is an overall increasing trend, only that the sizes of the religiosity groups have been equalizing over the last 10 years of data.
“since the lowest value of size parity occurs in 2002 we cannot make the claim that there is an overall increasing trend, only that the sizes of the religiosity groups have been equalizing over the last 10 years of data.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S2 (checkable).
Interpretationnone givenScenarios such as those described obfuscate the varied senses of polarization, thus creating confusion in analyzing polarization patterns.
“We have included this section because we believe that it is scenarios such as these that obfuscate the varied senses of polarization, thus creating confusion in analyzing polarization patterns.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing), S4 (based). May combine two claims.
InterpretationreasoningThat widening may be offset by the flattening of political attitudes within the religious groups, and perhaps a disconnecting of religious and political views.
“That widening may be offset by the flattening of political attitudes within the religious groups, and perhaps a disconnecting of religious and political views.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S4 (based). May combine two claims.
Interpretationnone givenThe paper does not claim that any one of the above senses fully captures any particular widely used notion of polarization, but rather that these senses constitute minimal building blocks of all such notions.
“We do not claim that any one of the above senses fully captures any particular widely used notion of polarization, but rather that these senses constitute minimal building blocks of all such notions.”
Quote in the paperNot a substantial claimMay combine two claims.
InterpretationreasoningThe increase in polarization in 1996 was not an overall move to the right, but rather a pull in from the right that increased focus on the pure conservative bin.
“The increase in polarization in this case, therefore, is not an overall move to the right, but rather a pull in from the right that increased focus on the pure conservative bin.”
Quote in the paperSubstantial claimMay combine two claims.
PremisecitationIn Axelrod's model, the groups are endogenously defined, and the more groups the greater the polarization.
“In this case the groups are endogenously defined, and the more groups the greater the polarization.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Axelrod, 1997 source
Probably not a substantial claim: may not pass S3 (load-bearing), S4 (based).
InterpretationreasoningIf there is too little consensus or size parity, then the groups may not be visibly discernible as such.
“although if there is too little consensus or size parity then the groups may not be visibly discernible as such.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationThe effect is amplified among the wealthiest quarter of the population.
“The effect is amplified among the wealthiest quarter of the population.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Hirschl et al.
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
Probably not a substantial claim: may not pass S2 (checkable).
Interpretationnone givenDespite their mathematical linkages, the polarization senses detailed here remain conceptually distinct.
“Also keep in mind that despite their mathematical linkages the polarization senses detailed here remain conceptually distinct.”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim.
InterpretationreasoningTo measure polarization on the GSS data using the example measures presented above requires limiting application to those topics with appropriate ranked-order scoring systems.
“To measure polarization on the GSS data using the example measures presented above requires us to limit our application to those topics with appropriate ranked-order scoring systems.”
Quote in the paperSubstantial claim- Rests on an assumption: The GSS data is representative of the American populace.
Probably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductnone givenA further consideration that is left out of the current analysis is the incorporation of confidence into the polarization measures.
“A further consideration that is left out of the current analysis is the incorporation of confidence into the polarization measures.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
InterpretationreasoningIf the number of groups equals the regionalization plus one, then distinctness is already maximal because the groups have no neighboring or overlapping regions.
“For example, if the number of groups equals the regionalization plus one, then the distinctness is already maximal because the groups have no neighboring or overlapping regions.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Premisenone givenThe GSS has breadth (> 5,500 variables) and continuity.
“The breadth (> 5,500 variables) and continuity of the GSS makes it an excellent data source for social scientists.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
InterpretationreasoningFiorina and Abrams are invoking distinctness when they measure the drop in moderate view holders.
“Fiorina and Abrams are invoking distinctness when they measure the drop in moderate view holders.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Fiorina et al., 2010
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
Probably not a substantial claim: may not pass S2 (checkable).
InterpretationreasoningSeeing the disparate versions of polarization as different combinations, rather than distinct and incommensurate definitions/measures, ties them together without prioritizing them.
“Seeing them as different combinations, rather than distinct and incommensurate definitions/measures, ties the the disparate versions of polarization together without prioritizing them.”
Quote in the paperNot a substantial claimMay combine two claims.
PremisecitationThe traits of the agents in Axelrod's model are not cardinal values, and therefore other measures would be required to quantify some aspects of the polarization.
“even though the traits of the agents are not cardinal values and therefore other measures would be required to quantify some aspects of the polarization.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Axelrod, 1997 source
May combine two claims.
PremisecitationAxelrod's model also requires group consensus and distinctness of the agents' traits.
“But it also requires group consensus and distinctness of the agents' traits.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Axelrod, 1997 source
Probably not a substantial claim: may not pass S2 (checkable).
InterpretationreasoningThese building blocks can be combined in various ways to capture differing, richer notions of polarization while remaining unambiguous about the features of the distribution being described.
“These building blocks can be combined in various ways to capture differing, richer notions of polarization while remaining unambiguous about the features of the distribution being described.”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim.
PremisecitationIn Axelrod's model of the dissemination of culture, polarization is characterized by the appearance of regions which are internally homogeneous and have no attributes in common with the other internally homogeneous regions.
“In Axelrod's well-known model of the dissemination of culture, polarization is characterized by the appearance of regions which are internally homogeneous and have no attributes in common with the other internally homogeneous regions (Axelrod, 1997).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Axelrod, 1997 source
Classified as probably not a substantial claim. May combine two claims.
PremisecitationThe Hirschl et al. analysis reveals that among some Americans (nonsouthern Christian white males) there exists a greater degree of religious belief correlating with a greater likelihood of voting for Republican candidates and a lesser degree of religiosity correlating with a decreasing likelihood of voting Republican.
“The Hirschl et al. analysis reveals (among other things) that among some Americans (nonsouthern Christian white males) there exists a greater degree of religious belief correlating with a greater likelihood of voting for Republican candidates and a lesser degree of religiosity correlating with a decreasing likelihood of voting Republican.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Hirschl et al.
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
Probably not a substantial claim: may not pass S2 (checkable). May combine two claims.
InterpretationreasoningNeither divergence nor distinctness is necessary for polarization.
“neither divergence nor distinctness is necessary for polarization”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim.
InterpretationreasoningNo single feature of the nine presented here is necessary for polarization.
“no single feature of the nine presented here is necessary”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S2 (checkable).
InterpretationreasoningPolarization is a cluster concept.
“These examples further highlight that polarization is a cluster concept”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim. May combine two claims.
InterpretationreasoningThe use of bimodality implies that the population can be most usefully broken down into exactly two subpopulations, and that a balanced deviation from a moderate position is what it means to be polarized.
“The use of bimodality implies that the population can be most usefully broken down into exactly two subpopulations, and that a balanced deviation from a moderate position is what it means to be polarized.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S2 (checkable), S3 (load-bearing).
InterpretationreasoningAxelrod's meaning of 'polarization' breaks down into the concepts offered in this paper.
“Axelrod's meaning of 'polarization' nicely breaks down into the concepts offered in this paper”
Quote in the paperNot a substantial claimMay combine two claims.
InterpretationreasoningGroup consensus is higher because the largest group, Inspired Word, has a lower dispersion than the other two (which are nearly identical), and the group consensus measure averages the three groups without adjusting for their sizes.
“Group consensus is higher because the largest group, Inspired Word, has a lower dispersion than the other two (which are nearly identical), and the group consensus measure averages the three groups without adjusting for their sizes.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S2 (checkable).
InterpretationreasoningThe features of polarization can be combined to form broader definitions as appropriate for the application at hand.
“but the features can be combined to form broader definitions as appropriate for the application at hand.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Interpretationnone givenIn calculating the number of endogenously defined groups, a valley with a value of 1.0 between two bins with value 10.0 counts just as much as a valley with a value of 9.9 (although that difference in valley height is picked up with the distinctness measure).
“In calculating the number of endogenously defined groups, for example, a valley with a value of 1.0 between two bins with value 10.0 counts just as much as a valley with a value of 9.9 (although that difference in valley height is picked up with the distinctness measure).”
Quote in the paperNot a substantial claimMay combine two claims.
Interpretationown dataAll together the measures indicate that the political polarization of the populace is minor, is confined to specific aspects of the distribution, and is increasing or decreasing depending on the aspect examined.
“All together our measures indicate that the political polarization of the populace (1) is minor, (2) is confined to specific aspects of the distribution, and (3) is increasing or decreasing depending on the aspect examined.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing), S4 (based).
Interpretationnone givenThe frequencies of responses in binary or categorical data can reveal trends in attitudes with respect to a specific question.
“Although the frequencies of responses in binary or categorical data can reveal trends in attitudes with respect to a specific question”
Quote in the paperNot a substantial claimMay combine two claims.
InterpretationreasoningBecause the groups were moving apart, the divergence increased, but because nearly half the respondents are in the middle group, and the groups significantly overlap, the overall population dispersion increases only slightly over the 28-year period.
“Because the groups were moving apart, the divergence increased, but because nearly half the respondents are in the middle group, and the groups significantly overlap, the overall population dispersion increases only slightly over the 28-year period.”
Quote in the paperSubstantial claimMay combine two claims.
Interpretationnone givenNone of these polarization measure changes are large because neither public opinion on the topic nor people's religiosity have changed dramatically since 1984.
“None of these polarization measure changes are large because neither public opinion on the topic nor people's religiosity have changed dramatically since 1984.”
Quote in the paperNot a substantial claimMay combine two claims.
Interpretationnone givenThat is not mathematically implied by the measures, and grouping by a different variable (e.g., ethnicity or education) may reverse one or both of these relationships.
“That is not mathematically implied by the measures, and grouping by a different variable (e.g., ethnicity or education) may reverse one or both of these relationships.”
Quote in the paperNot a substantial claimMay combine two claims.
Study design and conductnone givenThe measures provided operate on a metric space so that there is a clear ordering from one end to the other and distance measures are well-defined everywhere.
“Specifically, we provide measures that operate on a metric space so that there is a clear ordering from one end to the other and that distance measures are well-defined everywhere.”
Quote in the paperNot a substantial claimMay combine two claims.
InterpretationreasoningReligiosity explains a small amount of the polarization in people's political views, but it explains a great deal of the polarization in abortion opinions.
“religiosity explains a small amount of the polarization in people's political views, but it explains a great deal of the polarization in abortion opinions.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductcitationCount values are weighted using the SDA's composite weight variable.
“Count values are weighted using the SDA's composite weight variable.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Smith et al., 2013
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Rests on an assumption: The GSS data and SDA composite weights yield valid estimates of Americans' attitudes.
May combine two claims.
Interpretationnone givenAmerican political views tend to be normally distributed, but with fringe groups of varying sizes to both the right and left, while the baseline distribution of abortion opinions is bimodal with varying proportions appearing at the anti-abortion extreme and in the broad valley that separates the two dominant groups.
“American political views tend to be normally distributed, but with fringe groups of varying sizes to both the right and left, while the baseline distribution of abortion opinions is bimodal with varying proportions appearing at the anti-abortion extreme and in the broad valley that separates the two dominant groups.”
Quote in the paperNot a substantial claim- Rests on an assumption: The GSS samples are representative of the American population, so trends in GSS responses describe Americans' political views and abortion opinions.
May combine two claims.
InterpretationreasoningThe more nuanced analysis of the separation of ideas reveals a consistent and persistent division of views on abortion, but not one that is changing coherently over time.
“Our more nuanced analysis of the separation of ideas reveals a consistent and persistent division of views, but not one that is changing coherently over time.”
Quote in the paperSubstantial claimClassified as probably not a substantial claim. May combine two claims.
Study design and conductnone givenThe two topics were analyzed both with exogenous groups defined by categories of religiosity, and also filtered by that same variable to ensure the set of respondents was identical.
“These two topics were analyzed both with exogenous groups defined by categories of religiosity, and also filtered by that same variable to ensure the set of respondents was identical.”
Quote in the paperSubstantial claim- Rests on an assumption: The BIBLE variable categories (Word of God, Inspired word, Fables) meaningfully capture religiosity differences.
May combine two claims.
PremisecitationFor congress voting nominate scores, the mean positions of each party have not significantly moved, but there has been a marked increase in group consensus.
“A similar observation has been made for congress voting nominate scores: the mean positions of each party have not significantly moved, but there has been a marked increase in group consensus (Gelman & Palmer, 2011).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Gelman & Palmer, 2011
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
May combine two claims.
Interpretationown dataThe largely normal distribution in political views does not breakdown into clear religious groups, but the distribution of abortion opinions does line up.
“Thus the largely normal distribution in political views does not breakdown into clear religious groups, but the distribution of abortion opinions does line up.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S2 (checkable), S4 (based). May combine two claims.
Interpretationnone givenThe nine senses presented apply across disciplines and for any property distribution, whether discrete or continuous, although the particular measures used may require adjustment to best handle particular data sets.
“The nine senses presented here apply across disciplines and for any property distribution, whether discrete or continuous, although the particular measures used may require adjustment to best handle particular data sets.”
Quote in the paperNot a substantial claimMay combine two claims.
InterpretationreasoningCategorizing by religiosity yields groups that are closer together, more spread out, and share more attitudes than the modes of the data.
“So categorizing by religiosity yields groups that are closer together, more spread out, and share more attitudes than the modes of the data.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Interpretationown dataThe scattered empty bins for the book of fables group in the abortion analysis are likely the result of low sample size in some years.
“For the abortion analysis below, there are a few scattered empty bins for the book of fables group, likely the result of low sample size in some years.”
Quote in the paperNot a substantial claim- Rests on an assumption: The GSS data and SDA composite weights yield valid estimates of Americans' attitudes.
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationThe SDA composite weight adjusts for number of adults in the household, for black oversampling in 1982 and 1987, and for problems with form randomization in 1978-1985, but does not adjust for differential nonresponse.
“This composite weight adjusts for number of adults in the household, for black oversampling in 1982 and 1987, and for problems with form randomization in 1978-1985.It does not adjust for differential nonresponse”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Smith et al., 2013
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
May combine two claims.
Interpretationown dataThe dispersion increase can be attributed entirely to the strongly and moderately religious groups becoming more anti-abortion while not flattening out.
“The dispersion increase can be attributed entirely to the strongly and moderately religious groups becoming more anti-abortion while not flattening out.”
Quote in the paperSubstantial claimMay combine two claims.
InterpretationreasoningWhen grouped by religiosity, opinions on abortion may be becoming more polarized in the senses that they are getting further apart on average and that the religious group sizes are becoming more similar.
“When grouped by religiosity, opinions on abortion may be becoming more polarized in the senses that they are getting further apart on average and that the religious group sizes are becoming more similar.”
Quote in the paperNot a substantial claimMay combine two claims.
InterpretationreasoningWith respect to the community fragmentation sense of polarization, political views have recently become nearly as polarized as people's position on abortion, although the distributions look very different.
“With respect to the community fragmentation sense of polarization, political views have recently become nearly as polarized as people's position on abortion, although the distributions look very different.”
Quote in the paperNot a substantial claimMay combine two claims.
InterpretationreasoningExisting measures of polarization can be decomposed into our senses, but the translation is not unique.
“Existing measures of polarization can be decomposed into our senses, but the translation is not unique.”
Quote in the paperSubstantial claim
The authors state this as an assumption.
The two major U.S. political parties represent positions toward the left and right sides of a spectrum, and at least some independents are between these parties.
“If we assume, as most do, that the two major U.S. political parties represent positions toward the left and right sides of a spectrum, and that (at least some of) the independents are between these parties”
The authors state this as an assumption.
The distribution is not completely filling the bounded (between 0 and 1) attitude space.
“Assume that the distribution is not completely filling the bounded (between 0 and 1) attitude space.7”
The authors state this as an assumption.
Other things are equal when comparing societies with different group sizes.
“the reasoning here is that (ceteris paribus) a society is more polarized when differing attitudes are held by large segments of the population rather than just small fringe groups.”
The authors state this as an assumption.
The number of groups is held constant when comparing societies with different group sizes.
“Holding the number of groups constant, a society that has one dominant attitude group with a few small minority outliers is less polarized than one with all similarly sized groups (see Figure 10).”
The paper relies on this without support.
The POLVIEWS question of the GSS is a valid measure of the American populace's general political views.
“We take the normalized frequencies of the responses to the POLVIEWS question of GSS and apply the above measures to the responses for each year the question was reported.”
The paper relies on this without support.
The GSS data is representative of the American populace.
“we will restrict ourselves in this article to analyses that pull their data from the General Social Survey (GSS) dataset.”
The paper relies on this without support.
The GSS samples are representative of the American population, so trends in GSS responses describe Americans' political views and abortion opinions.
“Americans' political views”
“American's views towards abortion rights”
The paper relies on this without support.
The POLVIEWS 1-7 scale validly measures general political views.
“the more general political views captured by the POLVIEWS question of the GSS”
The paper relies on this without support.
There is a bound to how many independent ways a frequency distribution can be captured.
“There is a bound to how many independent ways a frequency distribution can be captured, and while we are not claiming exhaustiveness, our collection of nine senses is a strong start in providing a full methodology for describing and analyzing polarization in attitudes (aka beliefs, opinions, views, ideas, attributes, etc.) in social contexts.”
The paper relies on this without support.
The GSS data and SDA composite weights yield valid estimates of Americans' attitudes.
“The numbers for the counts of respondents in each each category were pulled from the SDA web resource accessing the GSS database.”
The paper relies on this without support.
The BIBLE variable categories (Word of God, Inspired word, Fables) meaningfully capture religiosity differences.
“These two topics were analyzed both with exogenous groups defined by categories of religiosity, and also filtered by that same variable to ensure the set of respondents was identical.”
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Previous studies have shown that people retweet similar ideologies but mention across ideologies.
“Previous studies have also shown that people retweet similar ideologies but mention across ideologies [5].”
From Quantifying controversy on social media (2018) · cites this paper as [5]
The Conclusions (page unavailable) discuss polarization in Americans’ political views and abortion attitudes, not how people interact on social media. Searches for retweets, mentions, and interactions across ideologies found no passage in our copy addressing the claimed pattern. (LLM, conf=0.76)
Experimental — accuracy not yet measured
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
Each contradiction between two passages listed here was confirmed by an independent check.
Abortion response scale has conflicting numbers of values
MinorAn inclusive integer scale from 0 to 8 has nine possible values, whereas the paper says there are eight possible responses. The abortion tables also label their eight response positions 1 through 8.
“The ABORTION variable we use is, however, a composite of multiple true/false questions that are added together to produce a 0-8 scale.”
“With eight possible responses, it is still the case that the maximum number of endogenously defined groups is four.”
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Models of Social Influence: Towards the Next Frontiers
Flache, A., Mäs, M., Feliciani, T., Chattoe-Brown, E., Deffuant, G., Huet, S., & Lorenz, J. (2017) · Journal of Artificial Societies and Social Simulation · doi:10.18564/jasss.3521 · Cited by 601 · see citing works
“…or repulsive influence) that aremanipulated in computational experiments and themodel outcomes that shouldbe compared (likebi-polarization), for examplebydrawingon recent advances in measuring and disentangling di erent aspects of bi-polarization in an opinion distribution (Bramson et al. 2016).”
BackgroundQuantifying controversy on social media
Garimella, K., Morales, G. D. F., Gionis, A., & Mathioudakis, M. (2018) · ACM Transactions on Social Computing · doi:10.1145/3140565 · Cited by 348 · see citing works
“There are many ways to define what is controversial, depending on the context, subject, and field of study, e.g., see Reference [6] for around a dozen ways to define polarization.”
BackgroundUnderstanding Polarization: Meanings, Measures, and Model Evaluation
Bramson, A., Grim, P., Singer, D. J., Berger, W. J., Sack, G., Fisher, S., Flocken, C., & Holman, B. (2017) · Philosophy of Science · doi:10.1086/688938 · Cited by 216 · see citing works
“A more complete development of the formal measures as well as an analysis of empirical belief distributions using these measures appears in Bramson et al. (2016). of the expedients of party to acquire influence . . . is to misrepresent the opinions and aims of other[s],” he said.”
BackgroundMethodSelf-citationAlgorithmic bias amplifies opinion fragmentation and polarization: A bounded confidence model
Sîrbu, A., Pedreschi, D., Giannotti, F., & Kertész, J. (2019) · PLOS ONE · doi:10.1371/journal.pone.0213246 · Cited by 112 · see citing works
Weber, T. J., Hydock, C., Ding, W., Gardner, M., Jacob, P., Mandel, N., Sprott, D. E., & Steenburg, E. V. (2021) · Journal of Public Policy & Marketing · doi:10.1177/0743915621991103 · Cited by 116 · see citing works
“Because political polarization has multiple manifestations, researchers have offered alternative frameworks with a shared set of commonalities (Bramson et al. 2016; DiMaggio, Evans, and Bryson 1996; Lelkes 2016).”
BackgroundOpinion polarization by learning from social feedback
Banisch, S., & Olbrich, E. (2018) · Journal of Mathematical Sociology · doi:10.1080/0022250x.2018.1517761 · Cited by 125 · see citing works
“Just as polarization mechanisms, also the empirical characterization of polarization patterns is recently receiving some attention and we refer to Bramson et al. (2016) for an accessible overview of different measures and a conceptual discussion of the different aspects of polarization they account…”
BackgroundOpinion polarization by learning from social feedback
Banisch, S., & Olbrich, E. (2019) · MPG.PuRe (Max Planck Society) · Cited by 107 · see citing works
Rational social and political polarization
Singer, D. J., Bramson, A., Grim, P., Holman, B., Jung, J., Kovaka, K., Ranginani, A., & Berger, W. J. (2018) · Philosophical Studies · doi:10.1007/s11098-018-1124-5 · Cited by 81 · see citing works
“To measure how polarized the simulated groups are before, during, and after deliberation, we use four measures inspired by Bramson et al. (2016, 2017).”
BackgroundMethodSelf-citationBodrunova, S. S., Blekanov, I. S., Smoliarova, A., & Litvinenko, A. (2019) · Media and Communication · doi:10.17645/mac.v7i3.1934 · Cited by 66 · see citing works
The Role of Homophily in the Emergence of Opinion Controversies
Gargiulo, F., & Gandica, Y. (2017) · Journal of Artificial Societies and Social Simulation · doi:10.18564/jasss.3448 · Cited by 57 · see citing works
“Di erent definitions of polarization can be found in (Bramson et al. (2016)). Herewe develop our analysis on three levels, gradually extending the complexity of the model. 1.7 First, we focus on the networkmorphogenesis, wherewe describe a network generationmodel, simplifying the implementation proposed in (Gargiulo &…”
BackgroundInfluentialBernaerts, K., Blanckaert, B., & Caluwaerts, D. (2022) · Democratization · doi:10.1080/13510347.2022.2117300 · Cited by 54 · see citing works
Exploiting Open Data to analyze discussion and controversy in online citizen participation
Iván Cantador, A., Cortés-Cediel, M. E., & Fernández, M. (2020) · Information Processing & Management · doi:10.1016/j.ipm.2020.102301 · Cited by 50 · see citing works
“Bramson et al. (2016) proposed a variety of metrics to compute this discrepancy in online discussions including spread, dispersion, coverage, regionalization and community fragmentation.”
BackgroundLorenz, J., Neumann, M., & Schröder, T. (2021) · Psychological Review · doi:10.1037/rev0000291 · Cited by 48 · see citing works
Emergence of Polarization in Coevolving Networks
Liu, J., Huang, S., Aden, N. M., Johnson, N. F., & Song, C. (2023) · Physical Review Letters · doi:10.1103/physrevlett.130.037401 · Cited by 45 · see citing works
Chen, T., Shi, J., Yang, J., Cong, G., & Li, G. (2020) · Complexity · doi:10.1155/2020/4791527 · Cited by 37 · see citing works
“[28] made quantitative analysis on the definition and measurement standard of polarization and put forward nine independent methods such as diffusion, dispersion, regionalization, and coverage to capture the polarization characteristics of distribution, providing a complete methodology for comparing the polarization d…”
MethodAn Argument Communication Model of Polarization and Ideological Alignment
Banisch, S., & Olbrich, E. (2021) · Journal of Artificial Societies and Social Simulation · doi:10.18564/jasss.4434 · Cited by 29 · see citing works
“However, such strong patterns of opinion divergence with respect to single issues cover only one aspect of polarization (DiMaggio et al., 1996; Bramson et al., 2016).”
BackgroundBounded-confidence model of opinion dynamics with heterogeneous node-activity levels
Li, G. J., & Porter, M. A. (2023) · Physical Review Research · doi:10.1103/physrevresearch.5.023179 · Cited by 29 · see citing works
Knowledge through social networks: Accuracy, error, and polarisation
Hahn, U., Merdes, C. J., & von Sydow, M. (2024) · PLoS ONE · doi:10.1371/journal.pone.0294815 · Cited by 10 · see citing works
The roots of polarization in the individual reward system
Lefebvre, G., Deroy, O. D., & Bahrami, B. (2024) · Proceedings of the Royal Society B Biological Sciences · doi:10.1098/rspb.2023.2011 · Cited by 28 · see citing works
“The second is used as a measure of polarization [44,45] with a higher value indicating more polarization.”
MethodMultipolar social systems: Measuring polarization beyond dichotomous contexts
Martín-Gutíerrez, S., Losada, J. C., & Benito, R. M. (2023) · Chaos Solitons & Fractals · doi:10.1016/j.chaos.2023.113244 · Cited by 27 · see citing works
Strategies for reducing polarization in social networks
Wu, Y., Li, L., Yu, Q., Gan, J., & Zhang, Y. (2023) · Chaos Solitons & Fractals · doi:10.1016/j.chaos.2022.113095 · Cited by 22 · see citing works
Paths to Polarization: How Extreme Views, Miscommunication, and Random Chance Drive Opinion Dynamics
Turner, M. A., & Smaldino, P. E. (2018) · Complexity · doi:10.1155/2018/2740959 · Cited by 22 · see citing works
Emamgholizadeh, H., Nourizade, M., Tajbakhsh, M. S., Hashminezhad, M., & Hasheminezha, F. N. E. M. (2020) · Social Network Analysis and Mining · doi:10.1007/s13278-020-00703-1 · Cited by 21 · see citing works
“provided a set of measures to detect opinion distance between two contradicting groups [13].”
BackgroundMethodInfluentialStjernswärd, S., & Glasdam, S. (2021) · Social Sciences & Humanities Open · doi:10.1016/j.ssaho.2021.100211 · Cited by 20 · see citing works
Bounded-Confidence Models of Opinion Dynamics with Adaptive Confidence Bounds
Li, G. J., Luo, J., & Porter, M. A. (2025) · SIAM Journal on Applied Dynamical Systems · doi:10.1137/23m1558951 · Cited by 15 · see citing works
Banisch, S., & Shamon, H. (2023) · Sociological Methods & Research · doi:10.1177/00491241231186658 · Cited by 15 · see citing works
“Notice that this de fi nition implies maximal opinion spread, high dispersion, and low kurtosis to name a few measures used in the literature (DiMaggio, Evans, and Bryson, 1996; Bramson et al., 2016).”
Inferring attitudinal spaces in social networks
Morales, P. R., Cointet, J., Zolotoochin, G. M., Peralta, A. F., Íñiguez, G., & Pournaki, A. (2022) · Social Network Analysis and Mining · doi:10.1007/s13278-022-01013-4 · Cited by 14 · see citing works
“This in turn, opens a path for the formalization of polarization as a property of the distribution of individuals in these spaces, addressing one of the major shortcoming in advancing towards meaningful multidimensional polarization measures (Bramson et al. 2016).”
Polarization in Social Media: A Virtual Worlds-Based Approach
Jacob, D., & Banisch, S. (2023) · Journal of Artificial Societies and Social Simulation · doi:10.18564/jasss.5170 · Cited by 12 · see citing works
“25 In order to differentiate consensus from bi-polarized opinion profiles we follow previous work (DiMaggio et al. 1996; Mäs & Flache 2013; Bramson et al. 2016; Banisch & Olbrich 2019) and consider the dispersion metric, which”
MethodResultSchram, A., Jensen, H. I., Gamborg, M. L., Lindhard, M. S., Rölfing, J. D., Kjærgaard-Andersen, G., Bie, M., & Jensen, R. D. (2023) · BMJ Open · doi:10.1136/bmjopen-2023-076163 · Cited by 12 · see citing works
Decomposing attitude distributions to characterize attitude polarization in Europe
Gestefeld, M., Lorenz, J., Henschel, N. T., & Boehnke, K. (2022) · SN Social Sciences · doi:10.1007/s43545-022-00342-7 · Cited by 11 · see citing works
Enhanced ability of information gathering may intensify disagreement among groups
Sayama, H. (2020) · Physical review. E · doi:10.1103/physreve.102.012303 · Cited by 11 · see citing works
A Multi-Dimensional Framework to Analyze Group Behavior Based on Political Polarization
Ebeling, R., Nobre, J. C., & Becker, K. E. (2022) · Expert Systems with Applications · doi:10.1016/j.eswa.2023.120768 · Cited by 10 · see citing works
Hofmann, V., Dong, X., Pierrehumbert, J. B., & Schuetze, H. (2022) · Findings of the Association for Computational Linguistics: NAACL · doi:10.18653/v1/2022.findings-naacl.41 · Cited by 10 · see citing works
“The precise definition of the key technical terms in this paper somewhat varies in the literature (e.g., Bramson et al., 2016).”
BackgroundSocial Depolarization and Diversity of Opinions—Unified ABM Framework
Sobkowicz, P. (2023) · Entropy · doi:10.3390/e25040568 · Cited by 11 · see citing works
“This plurality of definitions and meanings [15,16] sometimes leads to differences in research conclusions, as noted in [17].”
A high-dimensional approach to measuring online polarization
Phillips, S. C., Uyheng, J., & Carley, K. M. (2023) · Journal of Computational Social Science · doi:10.1007/s42001-023-00227-6 · Cited by 11 · see citing works
“Notably, measures based on the work of Esteban and colleagues use the distribution of an attribute of the population of interest, such as income or opinion [12, 61, 62].”
MethodAgents of Discord: Modeling the Impact of Political Bots on Opinion Polarization in Social Networks
Lu, H.-C., & Lee, H. (2024) · Social Science Computer Review · doi:10.1177/08944393241270382 · Cited by 9 · see citing works
“Typically, polarization encompasses either the manifestation of a distribution of opinions characterized by multiple local maxima or the intricate process by which pronounced divergences in opinions arise, leading to the division of the population (Bramson et al., 2016).”
Together alone: a group-based polarization measurement
Tang, T., Ghorbani, A., Squazzoni, F., & Chorus, C. G. (2021) · Quality & Quantity · doi:10.1007/s11135-021-01271-y · Cited by 9 · see citing works
Challenges to Simulation Validation in the Social Sciences. A Critical Rationalist Perspective
Mäs, M. (2019) · Simulation foundations, methods and applications · doi:10.1007/978-3-319-70766-2_35 · Cited by 10 · see citing works
Banisch, S., & Shamon, H. (2021) · SSRN Electronic Journal · doi:10.2139/ssrn.3895117 · Cited by 11 · see citing works
Data-Driven Agent-Based Model for Public Opinion Propagation Simulation in Cyberbullying
Wang, R., Lu, T., Zhang, P., & Gu, N. (2025) · Big Data Mining and Analytics · doi:10.26599/bdma.2024.9020042 · Cited by 8 · see citing works
Quayle, M. (2025) · European Review of Social Psychology · doi:10.1080/10463283.2025.2514433 · Cited by 8 · see citing works
A relative approach to opinion formation
Chan, K. M. D., Duivenvoorden, R., Flache, A., & Mandjes, M. (2022) · Journal of Mathematical Sociology · doi:10.1080/0022250x.2022.2036142 · Cited by 9 · see citing works
“One of the main conceptualizations of polarization in the literature is that disagreement between groups occurs together with agreement within groups (Bramson et al., 2016; Esteban & Ray, 1994; Flache et al., 2017).”
BackgroundInfluentialIndividuals, Collectives, and Individuals in Collectives: The Ineliminable Role of Dependence
Hahn, U. (2023) · Perspectives on Psychological Science · doi:10.1177/17456916231198479 · Cited by 9 · see citing works
“The term “polarization” is multifaceted, and at least nine different, interrelated meanings of the term have been distinguished in the literature (see Bramson et al., 2016).”
BackgroundQuantitative Modeling and Analysis of Argumentation Polarization in Cyber Argumentation
Sirrianni, J., Liu, X., & Adams, D. (2020) · IEEE Transactions on Computational Social Systems · doi:10.1109/tcss.2020.3035228 · Cited by 7 · see citing works
“In terms of Bramson et al. ’s senses of polarization [66], [67], this model only explicitly covers dispersion and does not cover the other eight senses, including community fracturing, distinctness, group divergence, and size parity which we explicitly identify in our four attributes as important…”
BackgroundMethodInfluentialBerglund, T., & Eriksson, Y. U. (2024) · Routledge eBooks · doi:10.4324/9781003412861 · Cited by 6 · see citing works
Arguments as Drivers of Issue Polarisation in Debates Among Artificial Agents
Kopecky, F. (2022) · Journal of Artificial Societies and Social Simulation · doi:10.18564/jasss.4767 · Cited by 6 · see citing works
“Group consensus, based on Bramson et al. (2016, 91–92).”
MethodInfluentialDo zealots increase or decrease the polarization of social networks?
Shekatkar, S. M. (2019) · Journal of Complex Networks · doi:10.1093/comnet/cnz036 · Cited by 6 · see citing works
“The incorporation of the network structure into the quantification of polarization has been discussed in [2], but has not been actually implemented.”
BackgroundElite versus mass polarization on the Brazilian impeachment proceedings of 2016
Moreira, R., de Melo, P. O. S. V., & Pappa, G. (2020) · Social Network Analysis and Mining · doi:10.1007/s13278-020-00706-y · Cited by 4 · see citing works
How culture can affect opinion dynamics: the case of vaccination
Li, T., Flache, A., & Jager, W. (2024) · Journal of Computational Social Science · doi:10.1007/s42001-024-00347-7 · Cited by 5 · see citing works
“Polarization can be described as the tendency of a population to fragment into a few subgroups with high agreement within, but significant disagreement between them [57].”
Unveiling the drivers of active participation in social media discourse
Baqir, A., Chen, Y., Diaz-Diaz, F., Kiyak, S., Louf, T., Morini, V., Pansanella, V., Torricelli, M., & Galeazzi, A. (2025) · Scientific Reports · doi:10.1038/s41598-025-88117-x · Cited by 5 · see citing works
What is Polarization in the Social Sciences? A Scoping Review of Reviews
Garzón‐Velandia, D. C., Barreto, I., & Cameselle, J. M. S. (2024) · Acta Colombiana de Psicología · doi:10.14718/acp.2024.27.2.11 · Cited by 5 · see citing works
“The definitions refer to the use of the word polarization in the literature consulted, but not to statistical uses, for which we recommend consulting Bordonaba-Plou, 2019; Bramson et al., 2017; Bramson et al., 2016.”
BackgroundMethodDiplomatic Relations in a Virtual World
Bramson, A., Hoefman, K., Schoors, K. J. L., et al. (2021) · Political Analysis · doi:10.1017/pan.2021.1 · Cited by 5 · see citing works
“The term “polarization” takes on many senses (Bramson, Grim et al. 2017), and there are various measures for each of those senses (Bramson et al. 2016).”
BackgroundSelf-citationA Bounded-Confidence Model of Opinion Dynamics with Heterogeneous Node-Activity LevelsPreprint
Li, G. J., & Porter, M. A. (2022) · doi:10.31235/osf.io/r6asm · Cited by 5 · see citing works
Alexander, A. C., Charron, N., & Off, G. (2024) · European Journal of Political Research · doi:10.1111/1475-6765.12664 · Cited by 4 · see citing works
“We thus understand polarization as group divergence (Bramson et al., 2016).”
Religious Polarization in Europe
Wilkins‐Laflamme, S., Voas, D., & Hewlett, K. (2024) · Sociology of Religion · doi:10.1093/socrel/srae017 · Cited by 4 · see citing works
Flache, A. (2019) · New economic windows · doi:10.1007/978-3-030-11364-3_15 · Cited by 4 · see citing works
Quantifying Controversy in Social Media
Garimella, K., Morales, G. D. F., Gionis, A., & Mathioudakis, M. (2015) · arXiv · Cited by 7 · see citing works
“. Mathioudakis Evaluation. De˙ning what is controversial/polarized can be subjective. There are many ways to de˙ne what is controversial, depending on the context, subject and ˙eld of study, e.g. See [6] for around a dozen ways to de˙ne polarization. Our evaluation is based on our intuitive labelling that a topic is c…”
BackgroundThe twin impact of homophily and accessibility on ideological polarization
Davies, S. C. (2017) · doi:10.1145/3145574.3145586 · Cited by 3 · see citing works
“Defining polarization, however, is somewhat tricky; one recent paper, in fact, spelled out nine different possible definitions[8].”
BackgroundPeelen, A., & Tolsma, J. (2026) · Humanities and Social Sciences Communications · doi:10.1057/s41599-026-06638-w · Cited by 2 · see citing works
Polarization in increasingly connected societies
Pham, T. M., Redner, S., Waldorp, L., Armas, J., & van der Maas, H. L. J. (2026) · Physical review. E · doi:10.1103/5lwq-2n8m · Cited by 3 · see citing works
Como a filosofia pode iluminar a gestão pública em tempos de polarização política
Rosa, E. F., Najberg, E., Nunes, L. D. L., et al. (2021) · Cadernos EBAPE BR · doi:10.1590/1679-395120200183 · Cited by 2 · see citing works
Morales, P. R., Cassells, D., Vagena, Z., Cointet, J., & Bailey, M. (2024) · Applied Network Science · doi:10.1007/s41109-023-00608-w · Cited by 2 · see citing works
“See Bramson et al. (2016) for a comprehensive survey including these two conceptualizations of polarization.”
BackgroundThe blame game: a thematic analysis of Islamophobic tweets during the COVID-19 pandemic
Awan, I., Carter, P., & Sutch, H. (2024) · Ethnic and Racial Studies · doi:10.1080/01419870.2024.2439025 · Cited by 2 · see citing works
Azedi, A. (2025) · International Journal of Comparative Sociology · doi:10.1177/00207152251319750 · Cited by 2 · see citing works
“Polarization can be quantitatively conceptualized in a number of ways (Bramson et al., 2016) and defined as a static property or process (DiMaggio et al., 1996).”
Mepham, K., Vörös, A., & Stadtfeld, C. (2025) · Network Science · doi:10.1017/nws.2025.2 · Cited by 3 · see citing works
“Within this class, many different unidimensional metrics exist (for a review, see Bramson et al., 2016).”
How opinion variation among in-groups can skew perceptions of ideological polarization
Steiglechner, P., Smaldino, P. E., & Merico, A. (2025) · PNAS Nexus · doi:10.1093/pnasnexus/pgaf184 · Cited by 2 · see citing works
A variational-autoencoder approach to solve the hidden profile task in hybrid human-machine teams
Pescetelli, N., Reichert, P., & Rutherford, A. (2022) · PLoS ONE · doi:10.1371/journal.pone.0272168 · Cited by 3 · see citing works
“We measured polarization as the standard deviation of forecasts [35], which we calculated for forecast distributions both before (pre SD) and after (post SD) exposure to peer information.”
MethodThe roots of polarisation in the individual reward systemPreprint
Lefebvre, G., Deroy, O. D., & Bahrami, B. (2023) · doi:10.31234/osf.io/4q3eu · Cited by 2 · see citing works
Hoffstadt, M., Smal, I., van der Maas, H. L. J., et al. (2024) · European Journal of Social Psychology · doi:10.1002/ejsp.3132 · Cited by 1 · see citing works
Condie, S. A., & Condie, C. M. (2025) · Humanities and Social Sciences Communications · doi:10.1057/s41599-025-04741-y · Cited by 2 · see citing works
“Equally important is the distribution of opinions, which re fl ects the level of social polarisation (Bramson et al. 2016) or con fl ict surrounding a debate.”
Bounded-Confidence Models of Multidimensional Opinions with Topic-Weighted Discordance
Li, G. J., Luo, J., & Chu, W. (2026) · SIAM Journal on Applied Dynamical Systems · doi:10.1137/25m1730818 · Cited by 1 · see citing works
Opinion dynamics: Statistical physics and beyond
Starnini, M., Baumann, F., Galla, T., Garcia, D., Íñiguez, G., Karsai, M., Lorenz, J., & Sznajd-Weron, K. (2026) · Reviews of Modern Physics · doi:10.1103/j1zg-ddqv · Cited by 16 · see citing works
Social polarization: towards the text mining study
Kyrychenko, R. (2022) · Sociological studios · doi:10.29038/2306-3971-2022-01-17-24 · Cited by 1 · see citing works
Modeling Both Pairwise Interactions and Group Effects in Polarization on Interaction Networks
Cassells, D., Tabourier, L., & Morales, P. R. (2024) · Springer proceedings in complexity · doi:10.1007/978-3-031-57515-0_4 · Cited by 1 · see citing works
Polarised perceptions of occupational prestige?
Eriksson, Y. U. (2024) · Routledge eBooks · doi:10.4324/9781003412861-5 · Cited by 1 · see citing works
Berglund, T., & Eriksson, Y. U. (2024) · Routledge eBooks · doi:10.4324/9781003412861-1 · Cited by 1 · see citing works
Emergência de distribuições de posicionamentos ideológicos: uma abordagem computacional
Maciel, M. V. (2018) · doi:10.11606/d.100.2018.tde-16102018-130334 · Cited by 1 · see citing works
Computational Social Science of Social Cohesion and Polarization
Keijzer, M. A., Lorenz, J., & Bojanowski, M. (2026) · Computational Social Sciences · doi:10.1007/978-3-032-01373-6_1
A variational-autoencoder approach to solve the hidden profile task in hybrid human-machine teamsPreprint
Pescetelli, N., Reichert, P., & Rutherford, A. (2021) · doi:10.31234/osf.io/67jku
A variational-autoencoder approach to solve the hidden profile task in hybrid human-machine teamsPreprint
Pescetelli, N., & Reichert, P. (2021) · doi:10.31234/osf.io/s67zf
Yang, D., EVans, J., & Chattopadhyay, I. (2023) · Research Square · doi:10.21203/rs.3.rs-2653650/v1
Ebeling, R., & Becker, K. E. (2023) · doi:10.5753/sbbd_estendido.2023.232220
“Os frameworks descritos em [Bramson et al. 2016, Lelkes 2016] são base-ados em questionários construídos para este propósito, e portanto sua aplicação é sujeita ao custo e latência de coletas destes dados.”
BackgroundHerbert, A. L. F., & Elizalde, L. H. (2024) · Palabra Clave · doi:10.5294/pacla.2024.27.2.2
Mixbiotic society measures: Assessment of community well-going as living system
Kato, T., Miyakoshi, J., Matsumura, T., Mine, R., Mizuno, H., & Deguchi, Y. (2024) · PLoS ONE · doi:10.1371/journal.pone.0307401
“Conversely, social fragmentation refers to the absence or underdevelopment of connections between a society and specific groups [3], while polarization refers to the exclusive separation of populations within social mobs based on factors such as economics, politics, and religion [4].”
BackgroundA nonparametric entropy-based measure of mass political polarization
Bảo, L. T., & Gill, J. (2024) · Political Science Research and Methods · doi:10.1017/psrm.2024.24
“Scholars often distinguish different principles of polarization such as dispersion, bimod-ality, divergence, spread, regionalization, fragmentation, distinctness, and so on (Bramson et al. , 2016; Lelkes, 2016).”
Li, Y., Zhang, X., Liang, Y., & Li, Q. (2025) · Entropy · doi:10.3390/e27050473
“Early scholars, primarily sociologists, studied controversies by evaluating user content, conducting various surveys, or analyzing data based on statistical methods [1,13].”
Sohn, D. (2025) · Communication Research · doi:10.1177/00936502251362278
Hedden, B. (2025) · Canadian Journal of Philosophy · doi:10.1017/can.2025.10016
From cognitive coherence to political polarization: A data‐driven agent‐based model of belief change
Batzke, M. C. L., Steiglechner, P., Lorenz, J., Edmonds, B., & Kalvas, F. (2025) · Political Psychology · doi:10.1111/pops.70099
“Polarization is a multifaceted phenomenon (Bramson et al., 2016), but here we focus on two aspects: (1) the extremeness of beliefs in a group (see also group polarization effect; Myers & Lamm, 1976; Sunstein, 2002) and (2) the diversity of beliefs (or bipolarization) where the most polarized…”
Zhang, H. (2026) · Applied Mathematics and Computation · doi:10.1016/j.amc.2026.130072
Questioning Your Brilliance in Physics: Differential Shifts in Fixed Mindsets by Grade and Gender
Seifollahi, F., Schunn, C. D., & Singh, C. (2026) · Journal of Research in Science Teaching · doi:10.1002/tea.70054
“Given our relatively large sample size, we were able to use Kernel Density Estimate (KDE) plots in R to visualize the response frequency distribution and determine local minima (Bramson et al., 2016; Węglarczyk, 2018; Kim, 2021; Silverman, 2018).”
The Need for Non-Polarizing Communication to Attain Sustainable Development Goal 16
Genilo, J. W., & Intaratat, K. (2026) · Springer eBooks · doi:10.1007/978-3-032-16800-9_11
Emergence of relational beliefs polarization with network scale
Zhang, P., & Yuan, L. (2026) · Physica A Statistical Mechanics and its Applications · doi:10.1016/j.physa.2026.131893
Close to Some, Distant to OthersEvaluator-Product Distance Dispersion and Polarized ReceptionPreprint
Du, M. (2026) · SSRN Electronic Journal · doi:10.2139/ssrn.7389430
Close to Some, Distant to OthersEvaluator-Product Distance Dispersion and Polarized ReceptionPreprint
Du, M. (2026) · SSRN Electronic Journal · doi:10.2139/ssrn.7387975
Temporal Social Influence Design for Polarized Evolving OpinionsPreprint
Kooshkaki, A. R., Mohebbi, A., & Bolouki, S. (2026) · SSRN Electronic Journal · doi:10.2139/ssrn.7428621
- Authors
- Bramson, A., Grim, P., Singer, D. J., Fisher, S., Berger, W., Sack, G., & Flocken, C.
- Affiliations
- RIKEN Center for Brain Science (JP)
- Stony Brook School (US)
- University of Pennsylvania (US)
- University of Michigan (US)
- Columbia University (US)
- Corresponding author
- Bramson, Aaron
- Venue
- The Journal of Mathematical Sociology
- Publisher
- Informa UK Limited
- Published
- 2016-04-02
- Volume
- 40
- Issue
- 2
- Pages
- 80-111
- ISSN
- 0022-250X (ISSN-L)
- 1545-5874
- OpenAlex
- W2342213273
- Semantic Scholar
- feaac69d02d9bf562dddca9ba5350be5f0c86b1f
- Cited by
- 96
- References
- 23
- Citations by year
- 2026: 12 · 2025: 12 · 2024: 17 · 2023: 13 · 2022: 10 · 2021: 10 · 2020: 6 · 2019: 6 · 2018: 5 · 2017: 3 · 2016: 1 · 2015: 1
- FWCI
- 25.43
- Type
- journal article
- Language
- en
- Open access
- green
- philarchive.org
- Locations
- Journal of Mathematical Sociology (publishedVersion)
- PhilPapers (PhilPapers Foundation) (submittedVersion)
- Ghent University Academic Bibliography (Ghent University) (submittedVersion)
- Topics
- Social Sciences › Political Science and International Relations › Electoral Systems and Political Participation
- Social Sciences › Sociology and Political Science › Income, Poverty, and Inequality
- Physical Sciences › Physics and Astronomy › Statistical and Nonlinear Physics › Opinion Dynamics and Social Influence
- Keywords
- social polarization, concept disambiguation, polarization measures, political attitudes, religiosity, General Social Survey
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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Classified by jev-1.13-20260917 (gold-guideline-v0.2) on 2026-10-13.
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