The DOI matches its Crossref record; 27 of the 27 references it cites were found in a registry or an index.
Echo chambers online?: Politically motivated selective exposure among Internet news users
Open accessAbstract
A review of research suggests that the desire for opinion reinforcement may play a more important role in shaping individuals’ exposure to online political information than an aversion to opinion challenge. The article tests this idea using data collected via a web-administered behavior-tracking study with subjects recruited from the readership of 2 partisan online news sites (N = 727). The results demonstrate that opinion-reinforcing information promotes news story exposure while opinion-challenging information makes exposure only marginally less likely. The influence of both factors is modest, but opinion-reinforcing information is a more important predictor. Having decided to view a news story, evidence of an aversion to opinion challenges disappears: There is no evidence that individuals abandon news stories that contain information with which they disagree. Implications and directions for future research are discussed.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
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?
The cited source doesn’t support the claim as written.
In the citing paper
“Homophily in communication, the tendency of people to communicate with others having similar beliefs, is understood to lead to the formation of echo chambers which reinforce individual beliefs and fuel further increase in polarization.”
From Credibility of climate change denial in social media (2019) · cites this paper as Garrett, 2009
Checked by a reasoning model — may be wrong.
Experimental — accuracy not yet measuredThe cited source doesn’t support the claim as written.
In the citing paper
“For example, homophily among liberals and conservatives in political blogs links (Adamic and Glance, 2005), i.e., the tendency of liberal and conservative blogs to link primarily within their separate communities, leads to echo chambers (Jasny et al., 2015;Garrett, 2009;Flaxman et al., 2016), and hence beliefs can be polarized due to such exposure to selective information (Bakshy et al., 2015).”
From Credibility of climate change denial in social media (2019) · cites this paper as Garrett, 2009
Checked by a reasoning model — may be wrong.
Experimental — accuracy not yet measuredThe source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“Furthermore, users show a tendency to favor information adhering to their beliefs and join groups formed around a shared narrative, that is, echo chambers (1, 14–18).”
From The echo chamber effect on social media (2021) · cites this paper as [15]
Experimental — accuracy not yet measuredThe source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“Estudios basados en encuestas encuentran que el efecto polarizador de la red no deriva de la tendencia de las cámaras de eco, sino más bien de la exposición transversal a los mensajes de personas con ideologías políticas opuestas (Bail y otros, 2018;Garrett, 2009).”
From Polarización, heterogeneidad política y redes sociales en México: un análisis comparativo de #PresidenteRompaElPacto, #FRENA y #RevocacionDeMandato en Twitter (2023) · cites this paper as Garrett, 2009
Experimental — accuracy not yet measuredIn the citing paper
“In social media, such polarized communication networks were observed in controversial debates ranging from political orientation [10, 11], US and French presidential elections [12], or street protests [13].”
From Modeling echo chambers and polarization dynamics in social networks (2020) · cites this paper as [13]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
A Theory of Cognitive Dissonance
Festinger, L. (1957) · doi:10.1515/9781503620766 · Cited by 24,241
Hierarchical Linear Models: Applications and Data Analysis Methods.
Longford, N. T., Bryk, A. S., & Raudenbush, S. W. (1993) · Contemporary Sociology A Journal of Reviews · doi:10.2307/2075823 · Cited by 18,773
A Theory of Cognitive Dissonance
Morvan, C., & O’Connor, A. (2017) · Macat Library eBooks · doi:10.4324/9781912282432 · Cited by 18,284
Hierarchical Linear Models: Applications and Data Analysis Methods
Davidian, M. (2003) · Journal of the American Statistical Association · doi:10.1198/jasa.2003.s288 · Cited by 13,820
Lord, C. G., Ross, L., & Lepper, M. R. (1979) · Journal of Personality and Social Psychology · doi:10.1037/0022-3514.37.11.2098 · Cited by 4,583
Christoph, V. F., Lazarfeld, P. F., Berelson, B., & Gaudet, H. (1945) · The American Catholic Sociological Review · doi:10.2307/3707538 · Cited by 1,732
Hearing the Other Side: Deliberative versus Participatory Democracy
Mutz, D. C. (2006) · doi:10.1017/cbo9780511617201 · Cited by 1,687
Hearing the Other Side: Deliberative versus Participatory Democracy
Mutz, D. C. (2006) · Choice Reviews Online · doi:10.5860/choice.44-2388 · Cited by 1,588
Media Use and Political Predispositions: Revisiting the Concept of Selective Exposure
Stroud, N. J. (2008) · Political Behavior · doi:10.1007/s11109-007-9050-9 · Cited by 1,154
Recent Research on Selective Exposure to Information
Frey, D. (1986) · Advances in experimental social psychology · doi:10.1016/s0065-2601(08)60212-9 · Cited by 820
Research works printed but not linked: 1
- Kohut, 2006, Online papers modestly boost newspaper readership: Maturing Internet news audience-broader than deep
Cited by
Sorted by citations
Items 101–200 of 998
The Effect of Digital Platforms on News Audience Behavior
Nelson, J. L., & Lei, R. F. (2017) · Digital Journalism · doi:10.1080/21670811.2017.1394202 · Cited by 91
Perceptions of Cable News Credibility
Stroud, N., & Lee, J. K. (2013) · Mass Communication & Society · doi:10.1080/15205436.2011.646449 · Cited by 89
Mind the Gaps: Media Use and Mass Action in Russia
Smyth, R. A., & Oates, S. (2015) · Europe Asia Studies · doi:10.1080/09668136.2014.1002682 · Cited by 90
Voter mobilisation in the echo chamber: Broadband internet and the rise of populism in Europe
SCHAUB, M., & MORISI, D. (2020) · European Journal of Political Research · doi:10.1111/1475-6765.12373 · Cited by 90
Ohme, J. (2020) · Journal of Information Technology & Politics · doi:10.1080/19331681.2020.1805085 · Cited by 111
Three dimensions of the public sphere on Facebook
Batorski, D., & Grzywińska, I. (2018) · Information, Communication & Society · doi:10.1080/1369118x.2017.1281329 · Cited by 85
Weismueller, J., Harrigan, P., Coussement, K., & Tessitore, T. (2021) · Computers in Human Behavior · doi:10.1016/j.chb.2021.107150 · Cited by 108
An experiment of campaign effects during the YouTube election
Towner, T. L., & Dulio, D. A. (2011) · New Media & Society · doi:10.1177/1461444810377917 · Cited by 85
Self-Interest and Attention to News Among Issue Publics
Bolsen, T., & Leeper, T. J. (2013) · Political Communication · doi:10.1080/10584609.2012.737428 · Cited by 83
Echo-chambers in online news consumption: Evidence from survey and navigation data in Spain
Cardenal, A. S., Paredes, C. A., Cristancho, C., & Majó-Vázquez, S. (2019) · European Journal of Communication · doi:10.1177/0267323119844409 · Cited by 82
Porten-Cheé, P., & Eilders, C. (2015) · Studies in Communication Sciences · doi:10.1016/j.scoms.2015.03.002 · Cited by 82
Measuring Media Diet in a High-Choice Environment - Testing the List-Frequency Technique
Andersen, K. V., de Vreese, C. H., & Albæk, E. (2016) · Communication Methods and Measures · doi:10.1080/19312458.2016.1150973 · Cited by 81
Chan, C., & Fu, K. (2017) · Journal of Computer-Mediated Communication · doi:10.1111/jcc4.12192 · Cited by 89
Social Media in the Changing Ecology of News: The Fourth and Fifth Estate in Britain
Newman, N., Dutton, W. H., & Blank, G. (2012) · Cited by 79
Managing political differences in social media
Grevet, C., Terveen, L., & Gilbert, É. (2014) · ACM Conference on Computer Supported Cooperative Work (CSCW) · doi:10.1145/2531602.2531676 · Cited by 80
Sindermann, C., Elhai, J. D., Moshagen, M., & Montag, C. (2020) · Heliyon · doi:10.1016/j.heliyon.2020.e03214 · Cited by 78
Hashtag homophily in twitter network: Examining a controversial cause-related marketing campaign
Xu, S., & Zhou, A. Y. (2019) · Computers in Human Behavior · doi:10.1016/j.chb.2019.08.006 · Cited by 78
Poison If You Don’t Know How to Use It: Facebook, Democracy, and Human Rights in Myanmar
Whitten-Woodring, J., Kleinberg, M. S., Thawnghmung, A., & Thitsar, M. T. (2020) · The International Journal of Press/Politics · doi:10.1177/1940161220919666 · Cited by 77
Flanagin, A. J., Hocevar, K. P., & Samahito, S. N. (2013) · Information Communication & Society · doi:10.1080/1369118x.2013.808361 · Cited by 77
Szostek, J. (2016) · New Media & Society · doi:10.1177/1461444816656638 · Cited by 77
Techniques for Measuring Selective Exposure: A Critical Review
Clay, R., Barber, J. M., & Shook, N. J. (2013) · Communication Methods and Measures · doi:10.1080/19312458.2013.813925 · Cited by 85
Dooly, M., & Darvin, R. (2022) · Language and Intercultural Communication · doi:10.1080/14708477.2022.2063304 · Cited by 112
Knobloch-Westerwick, S., & Johnson, B. K. (2014) · J. Comput. Mediat. Commun. · doi:10.1111/jcc4.12036 · Cited by 82
Lu, Y., & Lee, J. K. (2018) · New Media & Society · doi:10.1177/1461444818793421 · Cited by 76
Using Retweets When Shaping Our Online Persona: Topic Modeling Approach1
Geva, H., Oestreicher-Singer, G., & Saar‐Tsechansky, M. (2019) · MIS Quarterly · doi:10.25300/misq/2019/14346 · Cited by 88
Johnson, T. J., & Kaye, B. K. (2013) · Computers in Human Behavior · doi:10.1016/j.chb.2013.02.011 · Cited by 75
Westerwick, A., Kleinman, S. B., & Knobloch‐Westerwick, S. (2013) · Journal of Communication · doi:10.1111/jcom.12028 · Cited by 75
Resisting Political Fragmentation on the Internet
Garrett, R. K., & Resnick, P. (2011) · Daedalus · doi:10.1162/daed_a_00118 · Cited by 74
Self-citationCameron, J., & Geidner, N. (2014) · Journal of Broadcasting & Electronic Media · doi:10.1080/08838151.2014.935852 · Cited by 78
Feldman, L., & Hart, P. S. (2018) · Journal of Communication · doi:10.1093/joc/jqy011 · Cited by 83
How Many People Live in Politically Partisan Online News Echo Chambers in Different Countries?
Fletcher, R., Robertson, C., & Nielsen, R. K. (2021) · Journal of Quantitative Description Digital Media · doi:10.51685/jqd.2021.020 · Cited by 74
Aridor, G., Jiménez-Durán, R., Levy, R., & Song, L. (2024) · Journal of Economic Literature · doi:10.1257/jel.20241743 · Cited by 85
Turnbull-Dugarte, S. J. (2019) · Social Media + Society · doi:10.1177/2056305119826129 · Cited by 72
Quantifying partisan news diets in Web and TV audiences
Muise, D., Hosseinmardi, H., Howland, B., Möbius, M., Rothschild, D. M., & Watts, D. J. (2022) · Science Advances · doi:10.1126/sciadv.abn0083 · Cited by 79
Sokoloski, R., Markowitz, E. M., & Bidwell, D. (2017) · Energy Policy · doi:10.1016/j.enpol.2017.10.005 · Cited by 75
Regulating the new information intermediaries as gatekeepers of information diversity
Helberger, N., Königslöw, K. K., & van der Noll, R. (2015) · Info · doi:10.1108/info-05-2015-0034 · Cited by 69
The Effect of People Recommenders on Echo Chambers and Polarization
Cinus, F., Minici, M., Monti, C., & Bonchi, F. (2022) · Proceedings of the International AAAI Conference on Web and Social Media · doi:10.1609/icwsm.v16i1.19275 · Cited by 78
Dylko, I. B., & McCluskey, M. (2012) · Communication Theory · doi:10.1111/j.1468-2885.2012.01409.x · Cited by 77
Assessing Selective Exposure in Experiments: The Implications of Different Methodological Choices
Feldman, L. A., Stroud, N., Bimber, B., & Wojcieszak, M. (2013) · Communication Methods and Measures · doi:10.1080/19312458.2013.813923 · Cited by 113
Partisan selective exposure: The role of party, ideology and ideological extremity over time.
Rodriguez, C. G., Moskowitz, J. P., Salem, R. M., & Ditto, P. H. (2017) · Translational Issues in Psychological Science · doi:10.1037/tps0000121 · Cited by 74
Neutral bots probe political bias on social media
Chen, W., Pacheco, D. F., Yang, K.-C., & Menczer, F. (2021) · RePEc: Research Papers in Economics · Cited by 68
Jones-Jang, S. M. (2014) · Mass Communication & Society · doi:10.1080/15205436.2013.835425 · Cited by 72
Attention as a Valuable Resource
Stroud, N. J. (2017) · Political Communication · doi:10.1080/10584609.2017.1330077 · Cited by 66
Johnson, B. K., Neo, R. L., Heijnen, M., Smits, L., & van Veen, C. (2020) · Computers in Human Behavior · doi:10.1016/j.chb.2019.09.031 · Cited by 55
Neutral bots probe political bias on social media
Chen, W., Pacheco, D. F., Yang, K.-C., & Menczer, F. (2021) · Nature Communications · doi:10.1038/s41467-021-25738-6 · Cited by 106
Democratic Transparency in the Platform Society
Gorwa, R., & Ash, T. G. (2020) · Cambridge University Press eBooks · doi:10.1017/9781108890960.013 · Cited by 71
Partisan Enclaves and Information Bazaars: Mapping Selective Exposure to Online News
Tyler, M., Grimmer, J., & Iyengar, S. (2021) · The Journal of Politics · doi:10.1086/716950 · Cited by 66
Is news sharing on Twitter ideologically biased?
Morgan, J. S., Lampe, C. A. C., & Shafiq, M. Z. (2013) · ACM Conference on Computer Supported Cooperative Work (CSCW) · doi:10.1145/2441776.2441877 · Cited by 65
Framing in Social Media: How the US Congress Uses Twitter Hashtags to Frame Political IssuesPreprint
Hemphill, L., Culotta, A., & Heston, M. (2013) · SSRN Electronic Journal · doi:10.2139/ssrn.2317335 · Cited by 56
Misinformation and Its Correction
Wittenberg, C., & Berinsky, A. J. (2020) · Cambridge University Press eBooks · doi:10.1017/9781108890960.009 · Cited by 64
Does negatively toned language use on social media lead to attitude polarization?
Buder, J., Rabl, L., Feiks, M., Badermann, M., & Zurstiege, G. (2020) · Computers in Human Behavior · doi:10.1016/j.chb.2020.106663 · Cited by 73
Social and Cognitive Aspects of the Vulnerability to Political Misinformation
Pantazi, M., Hale, S. A., & Klein, O. (2021) · Political Psychology · doi:10.1111/pops.12797 · Cited by 81
Balanced influence maximization in social networks based on deep reinforcement learning
Yang, S., Du, Q., Zhu, G., Cao, J., Chen, L., Qin, W., & Wang, Y. (2023) · Neural Networks · doi:10.1016/j.neunet.2023.10.030 · Cited by 63
Baden, C., & Springer, N. (2014) · European Journal of Communication · doi:10.1177/0267323114538724 · Cited by 63
Beam, M. A., Child, J. T., Hutchens, M. J., & Hmielowski, J. D. (2017) · New Media & Society · doi:10.1177/1461444817714790 · Cited by 67
The Internet as Cognitive Enhancement
Voinea, C., Vică, C., Mihailov, E., & Savulescu, J. (2020) · Science and Engineering Ethics · doi:10.1007/s11948-020-00210-8 · Cited by 73
‘Echo Chambers’: Partisan Facebook Groups during the 2014 Thai Election
Grömping, M. (2014) · Asia Pacific Media Educator · doi:10.1177/1326365x14539185 · Cited by 61
Partisan search behavior and Google results in the 2018 U.S. midterm elections
Trielli, D., & Diakopoulos, N. A. (2020) · Information Communication & Society · doi:10.1080/1369118x.2020.1764605 · Cited by 61
Haupt, M. R., Jinich‐Diamant, A., Li, J., Nali, M. C., & Mackey, T. K. (2020) · Online Social Networks and Media · doi:10.1016/j.osnem.2020.100114 · Cited by 61
The Perfect Storm: A Subcultural Analysis of the QAnon Movement
Conner, C. T., & MacMurray, N. (2021) · Critical Sociology · doi:10.1177/08969205211055863 · Cited by 61
Credibility of climate change denial in social media
Samantray, A., & Pin, P. (2019) · Palgrave Communications · doi:10.1057/s41599-019-0344-4 · Cited by 60
Online media impact on politics. Views on post-truth politics and postpostmodernism
Salgado, S. (2018) · International Journal of Media & Cultural Politics · doi:10.1386/macp.14.3.317_1 · Cited by 46
Public Discourse and Social Network Echo Chambers Driven by Socio-Cognitive Biases
Wang, X., Sirianni, A. D., Tang, S., Zheng, Z., & Fu, F. (2020) · Physical Review X · doi:10.1103/physrevx.10.041042 · Cited by 93
Algorithmic Journalism—Current Applications and Future Perspectives
Kotenidis, E., & Veglis, A. A. (2021) · Journalism and Media · doi:10.3390/journalmedia2020014 · Cited by 70
Quantifying and Minimizing Risk of Conflict in Social Networks
Chen, X., Lijffijt, J., & Bie, T. D. (2018) · ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) · doi:10.1145/3219819.3220074 · Cited by 59
Becker, M. (2019) · Ethics and Information Technology · doi:10.1007/s10676-019-09508-z · Cited by 59
Censoring Political Opposition Online: Who Does it and Why
Ashokkumar, A., Talaifar, S., Fraser, W. T., Landabur, R., Buhrmester, M., Gómez, Á., Paredes, B., & Swann, W. B. (2020) · Journal of Experimental Social Psychology · doi:10.1016/j.jesp.2020.104031 · Cited by 58
Dahlgren, P., Shehata, A., & Strömbäck, J. (2019) · European Journal of Communication · doi:10.1177/0267323119830056 · Cited by 58
A Content Management Perspective on Fact-Checking
Cazalens, S., Lamarre, P., Leblay, J., Manolescu, I., & Tannier, X. (2018) · International World Wide Web Conference (WWW) · doi:10.1145/3184558.3188727 · Cited by 58
Housing Search in the Age of Big Data: Smarter Cities or the Same Old Blind Spots?
Boeing, G., Besbris, M., Schachter, A., & Kuk, J. S. (2020) · Housing Policy Debate · doi:10.1080/10511482.2019.1684336 · Cited by 58
Echo Chambers on Social Media: A comparative analysisPreprint
Cinelli, M., Morales, G. D. F., Galeazzi, A., Quattrociocchi, W., & Starnini, M. (2020) · arXiv (Cornell University) · doi:10.48550/arxiv.2004.09603 · Cited by 58
Yeo, S. K., Xenos, M. A., Brossard, D., & Scheufele, D. A. (2015) · The Annals of the American Academy of Political and Social Science · doi:10.1177/0002716214557782 · Cited by 58
Emergence of metapopulations and echo chambers in mobile agents
Starnini, M., Frasca, M., & Baronchelli, A. (2016) · Scientific Reports · doi:10.1038/srep31834 · Cited by 56
Štětka, V., Mihelj, S., & Tóth, F. (2020) · Political Communication · doi:10.1080/10584609.2020.1820647 · Cited by 56
Political Polarization in Online News Consumption
Garimella, K., Smith, T., Weiss, R., & West, R. (2021) · Proceedings of the International AAAI Conference on Web and Social Media · doi:10.1609/icwsm.v15i1.18049 · Cited by 56
Exposure to Counterattitudinal News Coverage and the Timing of Voting Decisions
Matthes, J. (2012) · Communication Research · doi:10.1177/0093650211402322 · Cited by 60
Balancing Information Exposure in Social NetworksPreprint
Garimella, K., Gionis, A., Parotsidis, N., & Tatti, N. (2017) · arXiv (Cornell University) · doi:10.48550/arxiv.1709.01491 · Cited by 56
Net legitimacy: internet and social media exposure and attitudes toward the police
Intravia, J., Thompson, A. J., & Pickett, J. T. (2020) · Sociological Spectrum · doi:10.1080/02732173.2020.1720554 · Cited by 64
Debbeler, L. J., Gamp, M., Blumenschein, M., Keim, D. A., & Renner, B. (2018) · The Science of The Total Environment · doi:10.1016/j.scitotenv.2018.06.190 · Cited by 55
Factors Motivating Customization and Echo Chamber Creation Within Digital News Environments
Auxier, B. E., & Jessica Vitak, B. (2019) · Social Media + Society · doi:10.1177/2056305119847506 · Cited by 71
Origin and evolution of the News Finds Me perception: Review of theory and effects
de Zúñiga, H. G., & Cheng, Z. (2021) · El Profesional de la Informacion · doi:10.3145/epi.2021.may.21 · Cited by 69
Leveraging scientific credibility about Arctic sea ice trends in a polarized political environment
Jamieson, K. H., & Hardy, B. W. (2014) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1320868111 · Cited by 52
Framing, the media, and environmental communication
Nisbet, M. C., & Newman, T. P. (2015) · doi:10.4324/9781315887586-24 · Cited by 51
Matz, S. C. (2021) · Journal of Personality and Social Psychology · doi:10.1037/pspp0000324 · Cited by 52
Geiß, S., Magin, M., Jürgens, P., & Stark, B. (2021) · Digital Journalism · doi:10.1080/21670811.2021.1873811 · Cited by 58
The Dual Echo Chamber: Modeling Social Media Polarization for Interventional Recommending
Donkers, T., & Ziegler, J. (2021) · ACM Conference on Recommender Systems (RecSys) · doi:10.1145/3460231.3474261 · Cited by 55
Jürgens, P., & Stark, B. (2017) · Policy & Internet · doi:10.1002/poi3.166 · Cited by 54
Johnson, T. J., Zhang, W., & Bichard, S. L. (2010) · Social Science Computer Review · doi:10.1177/0894439310379962 · Cited by 51
Understanding Audience Engagement with Mainstream and Alternative News Posts on Facebook
Hiaeshutter-Rice, D., & Weeks, B. E. (2021) · Digital Journalism · doi:10.1080/21670811.2021.1924068 · Cited by 50
Hilbert, M., Ahmed, S., Cho, J., Liu, B., & Luu, J. (2018) · Communication Methods and Measures · doi:10.1080/19312458.2018.1479843 · Cited by 49
Belief Dynamics and Biases in Web Search
White, R. W., & Horvitz, E. (2015) · ACM Transactions on Information Systems · doi:10.1145/2746229 · Cited by 53
Being Heard in Review Communities: Communication Tactics and Review Prominence
Otterbacher, J. (2011) · Journal of Computer-Mediated Communication · doi:10.1111/j.1083-6101.2011.01549.x · Cited by 49
Garimella, K., Weber, I. G., & Choudhury, M. D. (2016) · ACM Web Science Conference (WebSci) · doi:10.1145/2908131.2908170 · Cited by 52
Kessler, S. H., & Zillich, A. F. (2018) · Health Communication · doi:10.1080/10410236.2018.1465793 · Cited by 49
The evolution of lying in well-mixed populations
Capraro, V., Perc, M., & Vilone, D. (2019) · Journal of The Royal Society Interface · doi:10.1098/rsif.2019.0211 · Cited by 49
Mukerjee, S., & Tian, Y. (2020) · Political Communication · doi:10.1080/10584609.2020.1763531 · Cited by 56
Peterson, E., & Kagalwala, A. (2021) · American Political Science Review · doi:10.1017/s0003055420001124 · Cited by 49
Hayat, T., & Samuel-Azran, T. (2017) · Journal of Broadcasting & Electronic Media · doi:10.1080/08838151.2017.1309417 · Cited by 48
Journalistic Homophily on Social Media
Hanusch, F., & Nölleke, D. (2018) · Digital Journalism · doi:10.1080/21670811.2018.1436977 · Cited by 48
Retooling Politics: How Digital Media Are Shaping Democracy
Jungherr, A. M., Rivero, G., & Gayo-Avello, D. (2020) · Cited by 48
Metadata
- Authors
- Garrett, R. K.
- Affiliations
- The Ohio State University (US)
- Corresponding author
- Garrett, R. Kelly
- ORCID
- Garrett, R. Kelly
- Venue
- Journal of Computer-Mediated Communication
- Publisher
- Oxford University Press (OUP)
- Published
- 2009-01
- Volume
- 14
- Issue
- 2
- Pages
- 265-285
- ISSN
- 1083-6101 (ISSN-L)
- OpenAlex
- W2137809006
- Cited by
- 1,040
- References
- 27
- Citations by year
- 2026: 64 · 2025: 86 · 2024: 89 · 2023: 89 · 2022: 104 · 2021: 102 · 2020: 120 · 2019: 93 · 2018: 62 · 2017: 50 · 2016: 38 · 2015: 33 · 2014: 29 · 2013: 38 · 2012: 16
- FWCI
- 45.29
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Journal of Computer-Mediated Communication (publishedVersion)
- Topics
- Social Sciences › Sociology and Political Science › Media Influence and Politics
- Social Sciences › Communication › Social Media and Politics
- Social Sciences › Communication › News Media Framing and Political Communication
- Keywords
- selective exposure, echo chambers, online news, political information, political polarization, news avoidance
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.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
