Filter bubble
Open accessAbstract
Concepts such as ‘filter bubble’ enjoy considerable popularity in scholarly as well as mainstream debates, but are rarely defined with any rigour. This has led to highly contradictory research findings. This article provides a critical review of the ‘filter bubble’ idea, and concludes that its persistence has served only to distract scholarly attention from far more critical areas of enquiry.
AI snapshot
Written from the paper’s full text.
TL;DR
This critical review argues that the “filter bubble” concept, introduced by Eli Pariser in 2011, lacks robust empirical support and has been used interchangeably with “echo chambers” despite vague definitions. It concludes that persistent public belief in filter bubbles has created a discursive reality that misdirects scholarly and regulatory attention from more fundamental social and political causes of polarisation.
Key findings
- Empirical evidence for search filter bubbles is weak: Nechushtai and Lewis found Google News searchers in the US were directed overwhelmingly to “longstanding national newspapers and television networks”; Haim et al. found “only minor effects of personalization on content diversity” in Germany; and Krafft et al. explicitly “deny the algorithmically based development and solidification of isolating filter bubbles.”
- Social media users often encounter diverse views: a Pew survey before the 2016 US election reported that only “23% of Facebook users and 17% of Twitter users say [that] most of the people in their networks hold political beliefs similar to theirs,” while more than one quarter had “blocked or unfriended” contacts over unwanted political content.
- Incidental exposure on social media is associated with more diverse news diets: research using Digital News Report data found that “those who are incidentally exposed to news on social media use more different sources of online news than non-users.”
- Homophily exists but does not generally produce closed bubbles: a 2017 German Facebook network analysis found only the extreme-right AfD followers diverged significantly, concluding “apparently closed filter bubbles do not exist in large parts of the political spectrum in Germany”; Australian and Norwegian Twitter maps showed interest-driven clusters but few significant disconnects across the overall network.
Methods
- Design: critical review and conceptual critique of the “filter bubble” and related “echo chamber” concepts, drawing on prior empirical studies, theoretical literature, and public discourse.
- Data or sample: no new empirical data; the article synthesises existing studies from search-engine personalisation, social media network analysis, survey research, and media/communication scholarship.
- Main analysis: proposes minimal definitions—echo chamber as preferential connection with like-minded others, filter bubble as preferential communication with like-minded others—and reviews evidence across network science, social science, media and communication studies, and social/political relevance.
Limitations
- The paper states that Pariser and Sunstein never clearly defined “filter bubble” or “echo chamber,” and that empirical studies have generally introduced their own definitions, reducing comparability.
- It acknowledges that large-scale, longitudinal, survey-based observations may be valid at an aggregate level but “show considerable variation for individual communities and individuals,” and that further research should confirm search results across more national contexts and a broader range of search engines and news portals.
- Evident from the text: this is a critical review rather than a systematic review or new empirical study, so its conclusions rely on selected prior literature and examples, with no original data collection or formal meta-analysis.
Model-written summary. Check it against the paper before relying on it.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
10 of 49 cited sources checked · 3 supported · 0 flagged · accuracy not yet measured
- Interpretationcitation
Search and social media users generally encounter a highly centrist media diet that is, if anything, more diverse than that of non-users.
“search and social media users generally appear to encounter a highly centrist media diet that is, if anything, more diverse than that of non-users.”
Quote in the paperSubstantial claim1 of 1 sources checked- cites Fletcher & Nielsen, 2018 source
The Results (page unavailable) find that people incidentally exposed to news on social media used more online news sources than social-media non-users; the Discussion says this likely increases diversity. The paper does not establish that users’ media diets are highly centrist, and it does not make the claimed comparison for search users. (LLM, conf=0.88)
Experimental — accuracy not yet measured
- Premisecitation
Many hyperpartisans with the strongest adherence to extremist views (from anti-vaccination and anti-climate science activists to right-wing extremists supporting Donald Trump or the AfD) are also highly engaged with the mainstream media, at least in order to monitor what their opponents think.
“many of the hyperpartisans with the strongest adherence to extremist views -from anti-vaccination and anti-climate science activists to the right-wing extremists supporting Donald Trump or the AfD -are also highly engaged with the mainstream media, at least in order to monitor what their enemies are thinking”
Quote in the paperSubstantial claim1 of 1 sources checked- cites Gentzkow & Shapiro 2011, p. 1823 source
Split into 2 atoms — 0 confirmed, 2 partially supported, 0 disputed, 0 misattributed, 0 unverifiable. Expand the claim to see per-atom verdicts.
Experimental — accuracy not yet measured
- Premisecitation
Readers of extremist white supremacy sites are significantly more likely to visit the New York Times or similar quality news outlets than ordinary news users.
“readers of extremist white supremacy sites are significantly more likely to visit the New York Times or similar quality news outlets than ordinary news users, for example (Gentzkow & Shapiro 2011, p. 1823)”
Quote in the paperSubstantial claim1 of 1 sources checked- cites Gentzkow & Shapiro 2011, p. 1823 source
- Premisecitation
Online and social media users consume a particularly diverse news diet.
“online and social media users consume a particularly diverse news diet (Fletcher & Nielsen, 2018;Anspach, 2017)”
Quote in the paperSubstantial claim1 of 2 sources checked- cites Fletcher & Nielsen, 2018 source
The Abstract reports that social media users who may encounter news incidentally use significantly more online news sources than non-users. The Discussion says this likely increases diversity, but the finding concerns that specific group, not online and social media users generally, and diversity is inferred from the number of sources. (LLM, conf=0.87)
Experimental — accuracy not yet measured - cites Anspach, 2017 source
- Interpretationcitation
Politically hyperpartisan hashtags or conspiracy theory pages do not exist in isolation but are embedded into a complex and varied social media platform and a rich and diverse media ecology.
“while politically hyperpartisan hashtags or conspiracy theory pages may attract a fairly homogenous community of participants, these particular online spaces do not exist in isolation, but are embedded into a much more complex and varied social media platform, which in turn forms only one component of a rich and diverse media ecology (cf.Dubois & Blank, 2018).”
Quote in the paperSubstantial claim1 of 1 sources checked- cites Dubois & Blank, 2018 source
The Introduction and ‘Measuring echo chambers in a high-choice environment’ say that even a polarized social-media platform is only one part of a larger, diverse media environment. They do not establish that hyperpartisan hashtags or conspiracy-theory pages sit within a varied platform, so the within-platform part of the claim is not supported by this paper. (LLM, conf=0.82)
Experimental — accuracy not yet measured
- Interpretationreasoning
The persistence of the filter bubble idea has served only to redirect scholarly attention from far more critical areas of enquiry.
“This article provides a critical review of the 'filter bubble' idea, and concludes that its persistence has served only to redirect scholarly attention from far more critical areas of enquiry.”
Quote in the paperNot a substantial claim- Rests on an assumption: The persistent use of the filter bubble and echo chamber concepts in mainstream media and political debates has created a discursive reality that materially impacts societal institutions, media, platforms, and users.
- Interpretationcitation
There is a severe lack of convincing evidence for the existence of significant filter bubbles in search results.
“in spite of Pariser's founding anecdote there is a severe lack of convincing evidence for the existence of significant filter bubbles in search results.”
Quote in the paperSubstantial claim0 of 3 sources checked- cites Nechushtai and Lewis, 2018
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- cites Haim et al., 2018 source
- cites Krafft et al., 2018
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Interpretationcitation
There is scant empirical evidence for the existence of filter bubbles or echo chambers.
“Yet, there is scant empirical evidence for their existence, or for the related concept of 'echo chambers':”
Quote in the paperSubstantial claim0 of 3 sources checked- cites Nechushtai and Lewis, 2018
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- cites Haim et al., 2018 source
- cites Krafft et al., 2018
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Premisecitation
Three major 2018 studies showed substantial overlaps in the search results seen by users of different political and other interests.
“In 2018 alone, three major studies showed substantial overlaps in the search results seen by users of different political and other interests:”
Quote in the paperSubstantial claim0 of 3 sources checked- cites Nechushtai and Lewis, 2018
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- cites Haim et al., 2018 source
- cites Krafft et al., 2018
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Interpretationreasoning
Empirical studies exploring the existence and impact of filter bubbles and echo chambers have generally been forced to introduce their own definitions, which reduces their comparability.
“empirical studies exploring the existence and impact of filter bubbles (and echo chambers) in any context have generally been forced to introduce their own definitions, which reduces their comparability”
Quote in the paperSubstantial claim - Premisecitation
Social media have grown in importance as primary sources for news and other information.
“This shift in the assumed locus of filter bubble mechanisms also points to the growing importance of social media as the primary sources for news and other information, of course -a change that longitudinal studies such as the Digital News Report (e.g., Newman et al., 2016, 10) have documented clearly.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Newman et al., 2016
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Interpretationcitation
Facebook networks are inherently heterogeneous for political as well as other interests.
“if our Facebook networks are inherently heterogeneous -for political as well as for other interests -then how would the algorithm be able to detect which of these connections are our 'compadres', and privilege their ideologies?”
Quote in the paperSubstantial claim - Premisenone given
New media adoption is always a negotiated process of social construction during which these media are adapted and changed at least as much as media users adjust their own practices.
“the predominant conclusion of media effects research over the last decades has been that new media adoption is always a negotiated process of social construction during which these media are adapted and changed at least as much as media users adjust their own practices”
- Also stated in: § CONCLUSION · plain
“New media and communication technologies have always undergone a process of individual adaptation and social construction”
Quote in the paperNot a substantial claim - Also stated in: § CONCLUSION · plain
- Interpretationreasoning
For some groups, it remains possible to use online and social media to seek out strong homophily and engage preferentially in the development of distinct and divergent ideological positions.
“clearly, as examples like the anti-vaccination activists or AfD supporters show, for some groups it does remain possible to use online and social media to seek out strong homophily and engage preferentially in the development of distinct and divergent ideological positions.”
Quote in the paperSubstantial claim0 of 2 sources checked- cites Smith & Graham, 2017
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- cites Rietzschel, 2017
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Interpretationreasoning
The 'filter bubble' and 'echo chamber' concepts, with their strong technologically determinist elements, have very little to contribute to the solution of fundamental challenges such as societal polarisation.
“The 'filter bubble' and 'echo chamber' concepts, however, with their strong technologically determinist elements, have very little to contribute to the solution of such fundamental challenges”
Quote in the paperNot a substantial claim - Interpretationreasoning
The persistent use of the concepts of echo chambers and filter bubbles in mainstream media and political debates around the world has created its own discursive reality that continues to impact materially on societal institutions, media and communication platforms, and ordinary users themselves.
“the persistent use of these concepts in mainstream media and political debates around the world has created its own discursive reality that continues to impact materially on societal institutions, media and communication platforms, and ordinary users themselves”
Quote in the paperNot a substantial claim - Interpretationreasoning
Search and social media platforms appear largely free of blame on the specific question of filter bubbles.
“On the specific question of filter bubbles, however, they appear largely free of blame.”
Quote in the paperNot a substantial claim - Premisecitation
Direct attempts by mainstream sources to confront and correct the highly biased worldviews of the partisan fringes, for instance through fact-checking initiatives, only confirm one's status as a critical outsider.
“direct attempts by mainstream sources to confront and correct the highly biased worldviews of the partisan fringes -for instance through fact-checking initiatives -only "confirm one's status as a critical outsider" (Krämer, 2017”
Quote in the paperSubstantial claim0 of 2 sources checked- cites Krämer, 2017
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- cites Spohr, 2017 source
- Interpretationcitation
Filter bubbles exist only at the very extremes of the ideological spectrum.
“it shows that (if at all) filter bubbles exist only at the very extremes of the ideological spectrum.”
Quote in the paperSubstantial claim - Interpretationreasoning
Social media platforms and their affordances can be understood as engines of homophily.
“From this perspective, social media platforms and their respective affordances (such as Twitter hashtags, or Facebook pages and groups) can be understood as engines of homophily”
Quote in the paperNot a substantial claim - Interpretationcitation
Pariser and Sunstein fail to recognise that their experience of online and social media diverges considerably from social media users who are not 'political junkies'.
“authors like Pariser and Sunstein who genuinely are deeply engaged in political debates, but who fail to recognise that their experience of online and social media therefore diverges considerably from social media users who are not 'political junkies' (Coleman, 2003).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Coleman, 2003 source
- Interpretationcitation
Online and social media have the potential to actively mitigate polarisation tendencies.
“online and social media have the potential to actively mitigate polarisation tendencies.”
Quote in the paperSubstantial claim - Premisecitation
Members of homophilous communities are expected to preferentially circulate content that matches their worldviews.
“This, in turn, may also lead to selective exposure, as members of such homophilous communities are expected to preferentially circulate content that matches their worldviews (e.g., Batorski & Grzywińska, 2018).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Batorski & Grzywińska, 2018 source
- Interpretationreasoning
To date, any manual or algorithmic attempts to reduce the heterogeneity of personal networks on Facebook and Twitter have failed.
“clearly shows that to date any manual or algorithmic attempts to reduce the heterogeneity of personal networks on Facebook and Twitter have failed.”
Quote in the paperNot a substantial claim - Premisecitation
The vast majority of Facebook participants merely endure rather than actively enjoy political discussions.
“it is patently obvious that the vast majority of Facebook participants merely endure rather than actively enjoy political discussions (Duggan & Smith, 2016).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Duggan & Smith, 2016
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Interpretationreasoning
The thorough and direct interconnection across society and societies that online and social media have enabled has only made it easier to observe and express the differences between different social, economic, ethnic, religious and ideological groups.
“the thorough and direct interconnection across society and societies that online and social media have enabled has only made it easier to observe and express the differences between different social, economic, ethnic, religious, and ideological groups”
Quote in the paperNot a substantial claim - Premisecitation
Context collapse is especially prone to occur in the personal public that surrounds the user's social media profile.
“Such context collapse is especially prone to occur at the point where a user's different communities of interest, and the networks of contacts that they represent, are most likely to intersect: in the personal public (Schmidt, 2014) that surrounds the user's social media profile.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Schmidt, 2014
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Interpretationcitation
Basic homophilous tendencies are very easy to find on most social media platforms.
“On most social media platforms, basic homophilous tendencies are indeed very easy to find:”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites Chong, 2018 source
- cites Smith & Graham, 2017
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Interpretationreasoning
The multifaceted, multi-interest nature of mainstream social media platforms actively militates against the formation of echo chambers and filter bubbles.
“Such studies point to the fact that the multifaceted, multi-interest nature of mainstream social media platforms actively militates against the formation of echo chambers and filter bubbles.”
Quote in the paperSubstantial claim - Interpretationcitation
Many users use Facebook, Twitter, and other leading platforms to pursue a multiplicity of divergent and sometimes contradictory interests, connecting with various groups and communities that may overlap.
“Many users are not participating in Facebook, Twitter, and other leading platforms only because of a narrow political agenda or interest, but use these platforms to pursue a multiplicity of divergent and sometimes contradictory interests, connecting in the process with various groups and communities that may overlap to a greater or lesser degree.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Marwick & boyd, 2011 source
- Premisecitation
Partisan and hyperpartisan users often employ an inherently and staunchly oppositional reading stance as they engage with mainstream media content, consulting such media not to be informed but to incorporate new information into their existing picture of the ideological opponent.
“recent studies have shown that partisan and hyperpartisan users often employ an inherently and staunchly oppositional reading stance as they engage with mainstream media content: they consult such media not to be informed, but to incorporate this new information into their existing picture of the ideological opponent”
Quote in the paperSubstantial claim - Interpretationreasoning
Social media platforms in their entirety can be regarded as engines of context collapse.
“we must also regard these platforms in their entirety as engines of context collapse.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Marwick & boyd, 2011 source
- Interpretationreasoning
Hyperpartisans whose ideology diverges in extreme ways from the societal mainstream do not exist in a filter bubble by any definition.
“In other words, their ideology may diverge in extreme ways from the societal mainstream, but they do not exist in a filter bubble by any definition.”
Quote in the paperSubstantial claim - Interpretationreasoning
Social science research often presents substantial challenges to the filter bubble and echo chamber concepts.
“this research often presents substantial challenges to the filter bubble and echo chamber concepts.”
Quote in the paperSubstantial claim - Interpretationreasoning
If societal and ideological polarisation persists and worsens, it cannot be caused by filter bubbles or echo chambers, or by the algorithmic shaping of users' information feeds.
“If societal and ideological polarisation persists and worsens in this environment, then this cannot be caused by filter bubbles or echo chambers, or by the algorithmic shaping of users' information feeds that has been posited so often as the cause for such phenomena”
Quote in the paperSubstantial claim - Interpretationreasoning
The disconnect between the public understanding of and the scientific evidence on echo chambers and filter bubbles has all the hallmarks of a moral panic, similar to those accompanying the transition to almost any other major new communication technology in human history.
“This disconnect between the public understanding of and the scientific evidence on these concepts has all the hallmarks of a moral panic, similar to those that have accompanied the transition to almost any other major new communication technology introduced in human history.”
Quote in the paperNot a substantial claim - Premisecitation
Twitter hashtags such as #MAGA or #resist attract highly homophilous and diametrically opposed participant groups.
“it is unsurprising that Twitter hashtags such as #MAGA or #resist attract highly homophilous and diametrically opposed participant groups, for instance (Chong, 2018);”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Chong, 2018 source
- Premisecitation
Facebook pages and groups with an explicit anti-vaccination agenda mainly attract participants that share this agenda.
“similarly, it is to be expected that Facebook pages and groups with an explicit anti-vaccination agenda will mainly attract participants that share this agenda (Smith & Graham, 2017).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Smith & Graham, 2017
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Classified as probably not a substantial claim. 24
- May combine two claims. 19
Probably not a substantial claim: may not pass S3 (load-bearing).
InterpretationcitationThere are many contexts where homophily can be understood as beneficial.
“Notably, there are a great many contexts where such homophily can be understood as beneficial:”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites Helberger, 2019 source
May combine two claims.
PremisecitationTwitter follower maps in Australia and Norway show interest-driven clusters of dense interconnection but few significant disconnects across the overall network.
“For Twitter, comprehensive maps of follower connections in the Australian (Bruns et al., 2017) and Norwegian Twitterspheres (Bruns & Enli, 2018) have similarly shown the existence of interest-driven clusters of dense interconnection around topics from politics to sports, but point to few significant disconnects across the overall network.”
Quote in the paperSubstantial claim2 of 2 sources checked- cites Bruns et al., 2017 source
The Analysis and Network Structure sections describe densely connected, predominantly thematic clusters in the Australian follower network, including politics and sports. The paper also describes some clusters as comparatively isolated, but does not establish that there are few significant disconnects across the overall network; its principal map focuses on 255,000 best-connected accounts. The Norwegian findings belong to the separately cited source and are not assessed here. (LLM, conf=0.82)
Experimental — accuracy not yet measured - cites Bruns & Enli, 2018 source
May combine two claims.
PremisecitationThe empirical evidence does not support the existence of echo chambers and filter bubbles as actual, observable phenomena in public communication; there is a pronounced absence of evidence that genuine filter bubbles or echo chambers are real, outside of highly specific and unusual contexts.
“While the empirical evidence does not support the existence of echo chambers and filter bubbles as actual, observable phenomena in public communication”
- Also stated in: § SOCIAL AND POLITICAL RELEVANCE AND IMPACT · boosted
“there is a pronounced absence of evidence that genuine filter bubbles or echo chambers are real, outside of highly specific and unusual contexts”
Quote in the paperSubstantial claim2 of 3 sources checked- cites Bruns, 2019
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- cites Dubois & Blank, 2018 source
The Discussion (page unavailable) reports little evidence of echo chambers across the full media environment, but identifies a small group for whom an echo chamber is more likely. The Background (page unavailable) says the study focuses on people’s information choices rather than algorithmic filtering, so it does not support the claim about filter bubbles or the categorical claim that neither phenomenon is observable. (LLM, conf=0.90)
Experimental — accuracy not yet measured - cites Zuiderveen Borgesius et al., 2016 source
The 6. CONCLUSION says there is no empirical evidence warranting strong worries about filter bubbles, and the section on prevalence of self-selected personalisation says that, if echo chambers exist, their walls are porous. That supports skepticism about their prevalence or effects, but not the stronger claim that empirical evidence does not support their existence as observable phenomena in public communication. The paper does not confine their existence to highly specific or unusual contexts. (LLM, conf=0.87)
Experimental — accuracy not yet measured
- Also stated in: § SOCIAL AND POLITICAL RELEVANCE AND IMPACT · boosted
Probably not a substantial claim: may not pass S2 (checkable), S4 (based). May combine two claims.
InterpretationcitationPariser largely fails to provide a clear definition for the 'filter bubble' concept; it remains vague and founded in anecdotes.
“Pariser largely fails to provide a clear definition for the 'filter bubble' concept; it remains vague and founded in anecdotes.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Pariser, 2011a
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
Classified as probably not a substantial claim.
InterpretationreasoningTerminological confusion about the definitions of 'filter bubble' and 'echo chamber' and their interrelationship has significantly hindered the ability to test them through rigorous research.
“This terminological confusion -about the exact definitions of either term in itself, and about their interrelationship with each other -has significantly hindered our ability to test them through rigorous research.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
InterpretationcitationIn recent discussions, the term 'filter bubble' is no longer primarily applied to search results; today, filter bubbles are more frequently envisaged as disruptions to information flows in online and especially social media.
“However, in such recent discussions the term 'filter bubble' is no longer primarily applied to search results, as it was in Pariser's original conceptualisation; today, filter bubbles are more frequently envisaged as disruptions to information flows in online and especially social media.”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites Pariser, 2015
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- cites Newman et al., 2016
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
May combine two claims.
InterpretationcitationFor search, personalisation in general and news-specific search results appear to be exceptionally limited.
“at least for search, it seems that the filter bubble idea has deflated: far from the vision (or threat) of an individually unique Daily Me, personalisation in general and newsspecific search results still appears to be exceptionally limited.”
Quote in the paperSubstantial claim0 of 3 sources checked- cites Nechushtai and Lewis, 2018
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- cites Haim et al., 2018 source
- cites Krafft et al., 2018
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
Classified as probably not a substantial claim.
InterpretationcitationCass Sunstein never clearly defines the 'echo chamber' concept.
“the originator of the 'echo chamber' concept, the legal scholar Cass Sunstein, never clearly defines the latter term either.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Sunstein, 2001
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).
InterpretationcitationThe definitional blur at the heart of the filter bubble concept did not prevent it from gaining considerable currency in scientific as well as mainstream societal discourse.
“This definitional blur at the heart of the concept did not prevent it from gaining considerable currency in scientific as well as mainstream societal discourse, however:”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Obama, 2017
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
May combine two claims.
InterpretationreasoningLocalised homophily in specific contexts and spaces does not fundamentally undermine the general heterogeneity of the hybrid media ecology, and cannot usually prevent its participants from encountering a broad range of information and perspectives.
“In other words, the localised homophily that is likely to exist in specific contexts and spaces does not fundamentally undermine the general heterogeneity of the hybrid media ecology, and cannot usually prevent its participants from encountering -willingly or unwillingly -a broad range of information and perspectives.”
Quote in the paperSubstantial claimMay combine two claims.
InterpretationreasoningNetwork science studies that look beyond inherently ideological communities find significantly less homophily and polarisation in non-political contexts, and detect considerable cross-connection between groups that populate ideological spaces.
“As a result, network science studies that look beyond such inherently ideological communities find significantly less homophily and polarisation in non-political contexts, and also detect considerable crossconnection between the groups that populate those ideological spaces.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing), S4 (based). May combine two claims.
Interpretationnone givenFor social media, the debate about filter bubbles and echo chambers continues, with various studies both supporting and denying their existence.
“For social media, on the other hand, the debate about filter bubbles and echo chambers continues, with various studies both supporting and denying their existence.”
Quote in the paperNot a substantial claimMay combine two claims.
InterpretationreasoningThe echo chamber and filter bubble concepts centre on the individual media user and their treatment by search engines and social media platforms, whereas earlier concerns about fragmentation tackled aggregate, population-wide trends.
“Notably, especially in comparison with earlier concerns about the fragmentation of national mediaspheres as a result of the multiplication of cable channels or online information sources, or about social stratification due to diverging media literacies amongst different parts of the population, the echo chamber and filter bubble concepts clearly centre on the individual media user and their tre”
Quote in the paperSubstantial claimMay combine two claims.
Interpretationnone givenLarge-scale, longitudinal, survey-based observations may be valid at an aggregate level, but show considerable variation for individual communities and individuals.
“such large-scale, longitudinal, survey-based observations may be valid at an aggregate level, but show considerable variation for individual communities and individuals:”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim.
PremisecitationThe myth of the filter bubble is one thing: a big misunderstanding.
“"The myth of the filter bubble", above all, "is one thing: a big misunderstanding" (Meineck, 2018, n.p.;my translation)”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Meineck, 2018
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).
Interpretationnone givenMainstream media have operationalised the filter bubble concept to suggest that only their orderly and professional gatekeeping procedures, and not the collective and self-organising gatewatching processes on social media, can sufficiently inform citizens.
“Mainstream media have operationalised it to suggest that only their orderly and professional gatekeeping procedures, and not the collective and self-organising gatewatching processes on social media, have the ability to sufficiently inform citizens, for example”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim.
PremisecitationTo fully detach from diversity, a networked individual would have to enter the echo chamber and lose his or her diverse connections, replacing them with more and stronger connections within the echo chamber.
“as O'Hara and Stevens describe it, "a networked individual would have to enter the echo chamber and somehow lose his or her diverse connections, replacing them with more and stronger connections within the echo chamber"”
Quote in the paperSubstantial claim0 of 2 sources checked- cites O'Hara and Stevens
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- cites [2015]
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), S3 (load-bearing), S4 (based).
InterpretationreasoningSuch moral panics often also serve as part of the rear-guard defence of the old elites that stand to lose the most from any change to the status quo.
“Further, such moral panics often also serve as part of the rear-guard defence of the old elites that stand to lose the most from any change to the status quo”
Quote in the paperNot a substantial claimMay combine two claims.
InterpretationcitationFor many users, social media have positively increased the diversity of their information diet and prevent them from becoming locked into ideological monocultures.
“This means that, contrary to concerns about the fragmentation of society as a result of filter bubbles, for many users social media have positively increased the diversity of their information diet, and prevent them from becoming locked into ideological monocultures.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing), S4 (based).
Premisenone givenThe concepts 'echo chamber' and 'filter bubble' were introduced not by scholars in media, communication, internet or related fields of study, but by authors working well outside their area of expertise.
“Concepts like 'echo chamber' and 'filter bubble' -which, notably, were introduced not by scholars in media, communication, internet, or related fields of study, but by authors working well outside their area of expertise (Pariser is an activist and tech entrepreneur, Sunstein is a legal scholar)”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S4 (based).
Interpretationnone givenFor societies where ideological boundaries align with clear economic, ethnic or religious divisions, and where bipolar two-party systems prevent the emergence of centrist consensus alternatives to the polarised status quo, the challenge of preventing or undoing the ossification of ideological perspectives into partisan group identities is especially acute.
“For societies where ideological boundaries align with clear economic, ethnic, or religious divisions, and where bipolar two-party systems prevent the emergence of centrist consensus alternatives to the polarised status quo, this challenge is especially acute.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S2 (checkable), S3 (load-bearing), S4 (based).
InterpretationreasoningThe claim that audiences and voters diverging from well-trodden paths do so because they are caught in technologically created filter bubbles has the considerable added benefit that the journalists and politicians making that claim are never required to confront their own failings.
“the claim that audiences and voters diverging from these well-trodden paths do so because they are caught in technologically created filter bubbles and can no longer be reached by reasoned, sensible argument also has the considerable added benefit that the journalists and politicians making that claim are never required to confront their own failings”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing), S4 (based).
Interpretationnone givenEstablishment politicians have used the filter bubble concept to assert that only their well-designed party structures, and not the populist and/or grassroots models of their opponents, can provide strong and stable leadership for their countries.
“establishment politicians have used it to assert that only their welldesigned party structures, and not the populist and/or grassroots models of their opponents, can provide strong and stable leadership for their countries”
Quote in the paperNot a substantial claimMay combine two claims.
InterpretationcitationThe network structures of Australian and Norwegian Twitterspheres facilitate a largely unencumbered flow of information across the entire user base and would be unable to support the existence of filter bubbles.
“otherwise, the network structures of both Twitterspheres facilitate a largely unencumbered flow of information across the entire user base and would therefore be unable to support the existence of filter bubbles.”
Quote in the paperSubstantial claimMay combine two claims.
InterpretationcitationIf there is a filter at all, it is not the algorithmic filter postulated by the 'filter bubble' concept; rather, the more critical filter exists in our heads and leads us to adopt dominant, negotiated and oppositional stances towards information from a multitude of sources.
“If there is a filter at all, then, it is not the algorithmic filter postulated by the 'filter bubble' concept, which prevents us altogether from seeing 'different' content that runs counter to our own worldviews -rather, the more critical filter exists (more weakly formed perhaps in the societal mainstream, more strongly developed on the extreme fringes) in our heads, and variously leads us to ad”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Hall, 1980
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).
Interpretationnone givenThe relative prevalence of the filter bubble idea in different countries' political debates may also indicate the depth of broader concerns about their political and democratic processes.
“the relative prevalence of the filter bubble idea in different countries' political debates may also indicate the depth of broader concerns about their political and democratic processes”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationThe opportunity to connect with like-minded others has attracted users to computer-mediated communication platforms since early Usenet.
“since dial-in bulletin board systems and the early Usenet first became popular, it has been this very opportunity to connect with like-minded others that has attracted users to computer-mediated communication platforms (e.g., Baym, 2000).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Baym, 2000 source
Probably not a substantial claim: may not pass S4 (based).
InterpretationreasoningTo result in a notable divergence in information diets, echo chambers or filter bubbles would require both selective exposure and selective avoidance.
“In order to result in a notable divergence in the information diets experienced by members and nonmembers of an echo chamber or filter bubble, they would actively have to both seek out engagement with like-minded others (in other words, pursue selective exposure), and stay away from those who might introduce them to alternative views (that is, practice selective avoidance).”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S2 (checkable), S4 (based).
InterpretationreasoningThese moral panics point to the persistence of a simplistic and naïve understanding of media effects both amongst the general public and amongst media and political actors.
“These moral panics point to the persistence of a simplistic and naïve understanding of media effects both amongst the general public and amongst media and political actors.”
Quote in the paperNot a substantial claimMay combine two claims.
InterpretationreasoningFact checks may still be valuable to prevent mainstream users from drifting off to the fringes, but for those already on the fringe they only serve to deepen their disconnect from rational public debate.
“Fact checks may still be valuable to prevent mainstream users from drifting off to the fringes -but for those already on the fringe they only serve to deepen their disconnect from rational public debate.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S2 (checkable), S4 (based).
Interpretationnone givenCurrent societal transformations are not fuelled simply by surface factors such as the communication technologies and platforms preferred by new political actors and their established opponents, but are an expression of far more fundamental social, economic, societal and political challenges.
“such transformations are not fuelled simply by surface factors such as the communication technologies and platforms preferred by these new political actors and their established opponents, respectively -rather, they are an expression of far more fundamental social, economic, societal, and political challenges”
Quote in the paperNot a substantial claimMay combine two claims.
InterpretationreasoningThese new phenomena are driven by individualised personalisation processes and possible user interventions in such personalisation.
“While such earlier concerns tackled aggregate, population-wide trends, therefore, these new phenomena are driven by individualised personalisation processes (and possible user interventions in such personalisation).”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S2 (checkable). May combine two claims.
InterpretationreasoningWhile not neutral, new media and communication technologies and their providers are neither inherently good nor evil, but can be employed by users to serve socially and societally beneficial as well as disruptive ends.
“while not neutral, the technologies and their providers are neither inherently good nor evil in this, but can be employed by their users to serve socially and societally beneficial as well as disruptive ends”
Quote in the paperNot a substantial claimMay combine two claims.
InterpretationreasoningThe concepts 'echo chamber' and 'filter bubble' have served to obscure considerably more pressing societal problems and to misdirect scholarly, journalistic and regulatory attention to the technological rather than the social and societal factors underpinning these problems.
“have served to obscure considerably more pressing societal problems, and to misdirect scholarly, journalistic, and regulatory attention to the technological rather than social and societal factors underpinning these problems”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing), S4 (based).
Premisenone givenNetwork science approaches mainly tend to look for evidence of homophily: a preference for interconnections between participants with similar interests, views, and ideologies.
“such network science approaches mainly tend to look for evidence of homophily: a preference for interconnections between participants with similar interests, views, and ideologies.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S4 (based). May combine two claims.
Interpretationnone givenPhenomena such as homophily (and heterophily) can be readily observed in contemporary communicative spaces, as can the algorithmic shaping and personalisation of newsfeeds and information streams and users' efforts to control such shaping.
“Phenomena such as homophily (as well as heterophily) can be readily observed in contemporary communicative spaces, as can the algorithmic shaping and personalisation of newsfeeds and information streams (as well users' efforts to control such shaping).”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S2 (checkable), S4 (based). May combine two claims.
InterpretationreasoningThat the message of media effects research is still not getting through to the general public shows the seductive nature of moral panic narratives and must count as a failing for media and communication research.
“That this message is still not getting through to the general public shows the seductive nature of moral panic narratives, but must also count as a failing for media and communication research.”
Quote in the paperNot a substantial claim
The paper relies on this without support.
The persistent use of the filter bubble and echo chamber concepts in mainstream media and political debates has created a discursive reality that materially impacts societal institutions, media, platforms, and users.
“However, the persistent use of these concepts in mainstream media and political debates has now created its own discursive reality that continues to impact materially on societal institutions, media and communication platforms, and ordinary users themselves.”
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.
Nechushtai and Lewis study has conflicting publication years
MinorThe discussion places the Nechushtai and Lewis study in 2018 and cites it as such, but the reference list dates the same study to 2019.
“In 2018 alone, three major studies showed substantial overlaps in the search results seen by users of different political and other interests: Nechushtai and Lewis reported that Google News searchers in the US were directed overwhelmingly to "longstanding national newspapers and television networks" (2018, p. 302)”
“20. Nechushtai, E., & Lewis, S. C. (2019). What Kind of News Gatekeepers Do We Want Machines to Be? Filter Bubbles, Fragmentation, and the Normative Dimensions of Algorithmic Recommendations.”
Cites
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“…to develop more systematic and empirically verifiable definitions for either term (e.g., O’Hara & Stevens, 2015; Zuiderveen Borgesius et al ., 2016; Dubois & Blank, 2018), and to re-evaluate extant studies against such definitions (e.g., Bruns, 2019), but there is a need for considerably more…”
BackgroundInfluentialIdeological Segregation Online and Offline *
Gentzkow, M., & Shapiro, J. M. (2011) · The Quarterly Journal of Economics · doi:10.1093/qje/qjr044 · Cited by 980 · cited 1× · see citing works
“…with the mainstream media, at least in order to monitor what their enemies are thinking: readers of extremist white supremacy sites are significantly more likely to visit the New York Times or similar quality news outlets than ordinary news users, for example (Gentzkow & Shapiro 2011, p. 1823).”
BackgroundTune in, Log on: Soaps, Fandom, and Online Community
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Are people incidentally exposed to news on social media? A comparative analysis
Fletcher, R., & Nielsen, R. K. (2018) · New Media & Society · doi:10.1177/1461444817724170 · Cited by 738 · cited 2× · see citing works
“…are unlikely to drive filter bubble tendencies: indeed, research using the survey data gathered for the Digital News Report has shown that “those who are incidentally exposed to news on social media use more different sources of online news than non-users” (Fletcher & Nielsen, 2018, p. 2459).”
BackgroundShould we worry about filter bubbles?
Zuiderveen Borgesius, F. J., Trilling, D., Möller, J., Bodó, B., de Vreese, C. H., & Helberger, N. (2016) · Internet Policy Review · doi:10.14763/2016.1.401 · Cited by 541 · see citing works
Fake news and ideological polarization: Filter bubbles and selective exposure on social media
Spohr, D. (2017) · Business Information Review · doi:10.1177/0266382117722446 · Cited by 530 · see citing works
Burst of the Filter Bubble?: Effects of personalization on the diversity of <i>Google News</i>
Haim, M., Graefe, A., & Brosius, H.-B. (2018) · Digital Journalism · doi:10.1080/21670811.2017.1338145 · Cited by 399 · see citing works
On the Democratic Role of News Recommenders
Helberger, N. (2019) · Digital Journalism · doi:10.1080/21670811.2019.1623700 · Cited by 384 · cited 1× · see citing works
“…connect online in spite of considerable geographical distance, as it enables groups of participants with special interests to share relevant information with each other, or as it enables the members of vulnerable minorities in society to provide mutual support to one another (cf. Helberger, 2019).”
Background(2019) · Cited by 369 · see citing works
Self-citationMapping the anti-vaccination movement on Facebook
Smith, N., & Graham, T. (2019) · Information, Communication & Society · doi:10.1080/1369118x.2017.1418406 · Cited by 351 · cited 1× · see citing works
“…or #resist attract highly homophilous and diametrically opposed participant groups, for instance (Chong, 2018); similarly, it is to be expected that Facebook pages and groups with an explicit anti-vaccination agenda will mainly attract participants that share this agenda (Smith & Graham, 2017).”
BackgroundThe New Personal Influence: How Our Facebook Friends Influence the News We Read
Anspach, N. M. (2017) · Political Communication · doi:10.1080/10584609.2017.1316329 · Cited by 289 · cited 4× · see citing works
“Because they are so unplanned, however, such serendipitous encounters are unlikely to drive filter bubble tendencies: indeed, research using the survey data gathered for the Digital News Report has shown that “those who are incidentally exposed to news on social media use more different sources of online news than non…”
BackgroundInfluentialNechushtai, E., & Lewis, S. C. (2019) · Computers in Human Behavior · doi:10.1016/j.chb.2018.07.043 · Cited by 237 · see citing works
Echo chambers and online radicalism: assessing the internet’s complicity in violent extremism
O'Hara, K., & Stevens, D. (2015) · Policy & Internet · doi:10.1002/poi3.88 · Cited by 123 · cited 1× · see citing works
“Attempts have been made in recent years to develop more systematic and empirically verifiable definitions for either term (e.g., O’Hara & Stevens, 2015; Zuiderveen Borgesius et al ., 2016; Dubois & Blank, 2018), and to re-evaluate extant studies against such definitions (e.g., Bruns, 2019), but…”
BackgroundA Tale of Two Houses: The House of Commons, the Big Brother House and the People at Home
Coleman, S. (2003) · Parliamentary Affairs · doi:10.1093/pa/gsg113 · Cited by 104 · see citing works
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 · cited 1× · see citing works
“This, in turn, may also lead to selective exposure, as members of such homophilous communities are expected to preferentially circulate content that matches their worldviews (e.g., Batorski & Grzywińska, 2018).”
BackgroundThe Australian Twittersphere in 2016: Mapping the Follower/Followee Network
Bruns, A., Moon, B., Münch, F., & Sadkowsky, T. (2017) · Social Media + Society · doi:10.1177/2056305117748162 · Cited by 81 · see citing works
Self-citationPolitics in the Age of Hybrid Media
Chadwick, A., Dennis, J., & Smith, A. P. (2015) · Routledge eBooks · doi:10.4324/9781315716299-2 · Cited by 53 · cited 1× · see citing works
“…of communicative practices and spaces within specific social media platforms and especially also recognising the importance of interaction and information flows across multiple social media platforms and other media channels within the contemporary hybrid media environment (Chadwick et al ., 2016).”
BackgroundThe Norwegian Twittersphere: Structure and Dynamics
Bruns, A., & Enli, G. (2018) · Nordicom Review · doi:10.2478/nor-2018-0006 · Cited by 45 · cited 2× · see citing works
“For Twitter, comprehensive maps of follower connections in the Australian (Bruns et al ., 2017) and Norwegian Twitterspheres (Bruns & Enli, 2018) have similarly shown the existence of interest-driven clusters of dense interconnection around topics from politics to sports, but point to few…”
BackgroundSelf-citationAnalyzing Political Information Network of the U.S. Partisan Public on Twitter
Chong, M. (2018) · Lecture Notes in Computer Science · doi:10.1007/978-3-319-78105-1_50 · Cited by 7 · cited 1× · see citing works
“…unsurprising that Twitter hashtags such as #MAGA or #resist attract highly homophilous and diametrically opposed participant groups, for instance (Chong, 2018); similarly, it is to be expected that Facebook pages and groups with an explicit anti-vaccination agenda will mainly attract…”
Background
Flagged first, then by citations
5 of the 28 references couldn’t be matched to a known paper.
Research works printed but not linked: 4
- Hall, S. (1980). Encoding/Decoding. In S. Hall, D. Hobson, A. Lowe, & P. Willis (Eds.), Culture, Media, Language: Working Papers in Cultural Studies, 1972-79 (pp. 128-139). London: Unwin
- Pariser, E. (2015, May 7). Did Facebook's Big Study Kill My Filter Bubble Thesis? Wired. Retrieved from https://www.wired.com/2015/05/did-facebooks-big-study-kill-my-filter- bubble-thesis/
- Schmidt, J.-H. (2014). Twitter and the Rise of Personal Publics. In K. Weller, A. Bruns, J. Burgess, M. Mahrt, & C. Puschmann (Eds.), Twitter and Society (pp. 3-14). New York: Peter Lang.
- Sunstein, C. R. (2001). Echo Chambers: Bush v. Gore, Impeachment, and Beyond. Princeton: Princeton University Press.
Cited by
Sorted by citations
A critical review of filter bubbles and a comparison with selective exposure
Dahlgren, P. (2021) · Nordicom review/NORDICOM review · doi:10.2478/nor-2021-0002 · Cited by 179 · see citing works
Himeur, Y., Sohail, S. S., Bensaali, F., Amira, A., & Alazab, M. (2022) · Computers & Security · doi:10.1016/j.cose.2022.102746 · Cited by 139 · see citing works
Eg, R., Tønnesen, O. D., & Tennfjord, M. K. (2022) · Computers in Human Behavior Reports · doi:10.1016/j.chbr.2022.100253 · Cited by 137 · see citing works
Recommender systems and the amplification of extremist content
Whittaker, J., Looney, S., Reed, A., & Votta, F. (2021) · Internet Policy Review · doi:10.14763/2021.2.1565 · Cited by 135 · see citing works
“There is little distinction made between the similar, yet different, concepts of filter bubbles and echo chambers (Zuiderveen Borgesius et al., 2016; Bruns, 2019).”
BackgroundInfluentialConceptualizing “Dark Platforms”. Covid-19-Related Conspiracy Theories on 8kun and Gab
Zeng, J., & Schäfer, M. S. (2021) · Digital Journalism · doi:10.1080/21670811.2021.1938165 · Cited by 110 · see citing works
“The prevalence of legacy and authoritative information sources provide evidence to support Bruns (2019) critique on filter bubbles.”
BackgroundFilter bubbles in recommender systems: Fact or fallacy—A systematic review
Areeb, Q., Nadeem, M., Sohail, S., Imam, R., Doctor, F., Himeur, Y., Hussain, A., & Amira, A. (2023) · WIREs Data. Mining. Knowl. Discov. · doi:10.1002/widm.1512 · Cited by 101 · see citing works
“Author/Year Survey prime coverage Related to recommender system? [39] Filter bubble No [40] Selectivity of exposure preferences and actual exposure No [41] Avoiding filter bubbles in social networks No [42] Social media echo chambers No”
BackgroundAlgorithmic Closeness in Mourning: Vernaculars of the Hashtag #grief on TikTok
Krutrök, M. E. (2021) · Social Media + Society · doi:10.1177/20563051211042396 · Cited by 81 · see citing works
“However, considering the continuous (and valid) critiques of the so-called online “filter bubbles” phenomenon (see, for example, Bruns, 2019 and Dahlgren, 2021), I do not propose that these communities experience a closed off bubble where algorithmic filtering disallows users to view other forms of…”
BackgroundBastian, M., Helberger, N., & Makhortykh, M. (2021) · Digital Journalism · doi:10.1080/21670811.2021.1912622 · Cited by 87 · see citing works
“…reconsider the meaning and purpose of diversity in news is further amplified by the threat of political polarization, concerns about the formation of so-called algorithmic filter bubbles, and the lack of variation in personalized information selection (Zuiderveen Borgesius et al. 2016; Bruns 2019).”
Kaiser, J., & Rauchfleisch, A. (2020) · Social Media + Society · doi:10.1177/2056305120969914 · Cited by 74 · see citing works
“This fear is closely related to what Pariser (2011) called the “filter bub-ble”: an algorithm-driven process that would encapsulate each internet user in their own personalized bubble.”
BackgroundFact-Checking Misinformation: Eight Notes on Consensus Reality
Vinhas, O., & Bastos, M. (2022) · Journalism Studies · doi:10.1080/1461670x.2022.2031259 · Cited by 62 · see citing works
“the disconnect between fringe groups and the consensual discourse in the polity (Bruns 2019).”
BackgroundTowards responsible media recommendation
Elahi, M., Jannach, D., Skjærven, L., Knudsen, E., Sjøvaag, H., Tolonen, K., Holmstad, Ø., Pipkin, I., Throndsen, E., Stenbom, A., et al. (2021) · AI and Ethics · doi:10.1007/s43681-021-00107-7 · Cited by 69 · see citing works
“…systems actually may have not isolated large segments of the audience into bubbles to a large extent (e.g., Fletcher and Nielsen, 2017; Fletcher, 2020; Haim et al, 2018; M¨oller et al, 2018; Bechmann and Nielbo, 2018), or that filter bubbles are rather mainly formed in our heads (Bruns, 2019a,b).”
BackgroundNews recommender systems: a programmatic research review
Mitova, E., Blassnig, S., Strikovic, E., Urman, A., Hannák, A., de Vreese, C. H., & Esser, F. (2022) · Annals of the International Communication Association · doi:10.1080/23808985.2022.2142149 · Cited by 64 · see citing works
“…2021; but see Levy, 2021 for divergent findings), or Twitter (e.g. Bandy & Diakopoulos, 2021; Chen et al., 2021; but see Jürgens & Stark, 2022 for divergent findings) is low and often exaggerated (see also Bruns, 2019; Fletcher et al., 2021; Möller, 2021; Zuiderveen Borgesius et al., 2016).”
BackgroundExamining the interactive effects of the filter bubble and the echo chamber on radicalization
Wolfowicz, M., Weisburd, D., & Hasisi, B. (2023) · Journal of Experimental Criminology · doi:10.1007/s11292-021-09471-0 · Cited by 54 · see citing works
“Second, measures of ‘echo chamberness’ often fail to capture the type of network structure characteristics described by the respective propositions (Bruns 2019a).”
BackgroundMethodInfluentialBogert, J. M., Buczny, J., Harvey, J. A., & Ellers, J. (2023) · Environmental Communication · doi:10.1080/17524032.2023.2280749 · Cited by 54 · see citing works
“It is only one platform among many that research subjects are able to interact with, leading to a possibly much more varied media diet, which in turn helps to limit the e ff ect of echo chambers (Bruns, 2019 Dubois & Blank, 2018; Tuitjer & Dirksmeier, 2021;).”
BackgroundBurkell, J., & Regan, P. M. (2019) · Internet Policy Review · doi:10.14763/2019.4.1438 · Cited by 49 · see citing works
“…from like-minded individuals” and ‘filter bubbles’ as when “content is selected by algorithms according to a viewer’s previous behavior” (p. 1130) and Bruns (2019) distinguishes ‘echo chambers’ as a group choosing “to preferentially connect with each other to the exclusion of outsiders” and…”
BackgroundInfluentialHow news media frame data risks in their coverage of big data and AI
Nguyen, D. (2023) · Internet Policy Review · doi:10.14763/2023.2.1708 · Cited by 55 · see citing works
Reddit quarantined: can changing platform affordances reduce hateful material online?
Copland, S. (2020) · Internet Policy Review · doi:10.14763/2020.4.1516 · Cited by 43 · see citing works
“While recent empirical research has called into question the widespread existence of filter bubbles online (Zuiderveen Borgesius, Trilling, Möller, Bodó, de Vreese and Helberger, 2016; Bruns, 2019), some research has shown they may exist at the extremes of the ideological spectrum (Rietzschel, 2017).”
BackgroundWhat Are Filter Bubbles Really? A Review of the Conceptual and Empirical Work
Michiels, L., Leysen, J., Smets, A., & Goethals, B. (2022) · ACM Conference on User Modeling, Adaptation and Personalization (UMAP) · doi:10.1145/3511047.3538028 · Cited by 48 · see citing works
“Following the widespread criticism of Pariser’s thesis [6–8, 33 ], Dahlgren explicitly sets out to Dahlgren’s conceptualization of the technological filter bubble addresses two sources of ambiguity found in the original thesis.”
BackgroundMethodSocial media and perceived climate change efficacy: A European comparison
Tuitjer, L., & Dirksmeier, P. (2021) · Digital Geography and Society · doi:10.1016/j.diggeo.2021.100018 · Cited by 39 · see citing works
A review of public opinion on liquid biofuels in the EU: Current knowledge and future challenges
Løkke, S., Aramendia, E., & Malskær, J. (2021) · Biomass and Bioenergy · doi:10.1016/j.biombioe.2021.106094 · Cited by 42 · see citing works
Grusauskaite, K., Carbone, L., Harambam, J., & Aupers, S. (2024) · New Media & Society · doi:10.1177/14614448231162585 · Cited by 37 · see citing works
“Taking this critique of technological determinism one step further, Bruns (2019) scruti-nizes studies blaming algorithms for political disruptions and calls for studies that go beyond platform dynamics alone.”
Measuring Automated Influence: Between Empirical Evidence and Ethical Values
Susser, D., & Grimaldi, V. (2021) · Proceedings of the AAAI/ACM Conference on AI Ethics and Society · doi:10.1145/3461702.3462532 · Cited by 33 · see citing works
“Not everyone is convinced that filter bubbles are quite so her-metically sealed (at least not yet) [11, 27, 115].”
BackgroundJuneja, P., Bhuiyan, M. M., & Mitra, T. (2023) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3544548.3580846 · Cited by 31 · see citing works
We are the Change that we Seek
McKay, D., Makri, S., Lopez, M. G., MacFarlane, A., Missaoui, S., Porlezza, C., & Cooper, G. (2020) · Conference on Human Information Interaction and Retrieval · doi:10.1145/3343413.3377975 · Cited by 33 · see citing works
Epistemic fragmentation poses a threat to the governance of online targeting
Milano, S., Mittelstadt, B., Wachter, S., & Russell, C. (2021) · Nature Machine Intelligence · doi:10.1038/s42256-021-00358-3 · Cited by 29 · see citing works
Risius, M., Blasiak, K. M., Wibisono, S., & Louis, W. R. (2023) · Information Systems Journal · doi:10.1111/isj.12454 · Cited by 28 · see citing works
“It is currently not finally determined whether digital technologies exacerbate, mirror or reduce polarization (Bright, 2018; Bruns, 2019).”
BackgroundBuchanan, G. R., Kelly, R., Makri, S., & McKay, D. (2022) · Conference on Human Information Interaction and Retrieval · doi:10.1145/3498366.3505823 · Cited by 26 · see citing works
Biases in scholarly recommender systems: impact, prevalence, and mitigation
Färber, M., Coutinho, M., & Yuan, S. (2023) · Scientometrics · doi:10.1007/s11192-023-04636-2 · Cited by 28 · see citing works
“– Filter bubble or information bubble is a persistent phenomenon existing in search engine and social media (Bruns, 2019).”
Backgrounddi Iorio, V., Testa, F., Korschun, D., Iraldo, F., & Iovino, R. (2022) · Business Strategy and the Environment · doi:10.1002/bse.3243 · Cited by 21 · see citing works
Dommett, K., & Verovšek, P. J. (2021) · Javnost - The Public · doi:10.1080/13183222.2021.1955206 · Cited by 22 · see citing works
“And yet, once again, empirical studies have not painted an entirely uniform picture of what is happening on the Internet (Bruns 2019).”
BackgroundReligious “Bubbles” in a Superdiverse Digital Landscape? Research with Religious Youth on Instagram
Novak, C., Haselbacher, M., Mattes, A., & Limacher, K. (2022) · Religions · doi:10.3390/rel13030213 · Cited by 28 · see citing works
Explanations of news personalisation across countries and media types
Bastian, M., Makhortykh, M., Harambam, J., & van Drunen, M. Z. (2020) · Internet Policy Review · doi:10.14763/2020.4.1504 · Cited by 21 · see citing works
“However, recent studies (Bruns, 2019; Dubois & Blank, 2018; Möller et al., 2018) question whether these effects exist, at least with regard to the general public, and point out that news personalisation can also promote diversity (Möller et al.”
BackgroundNguyen, K. M., Nguyen, N. T., Ngo, N. T. Q., Tran, N. T. H., & Nguyen, H. T. T. (2024) · Journal of Internet Commerce · doi:10.1080/15332861.2024.2375966 · Cited by 23 · see citing works
“Filter bubbles or information bubbles are prevalent occurrences in search engines and on social media (Axel Bruns, 2011).”
Polarisation and echo chambers? Making sense of the climate issue with social media in everyday life
Moe, H., Lindtner, S. S., & Ytre-Arne, B. (2023) · Nordicom review/NORDICOM review · doi:10.2478/nor-2023-0002 · Cited by 19 · see citing works
Helm, P., GÖTZEN, A. D., Cernuzzi, L., Hume, A., Diwakar, S., Ruíz-Correa, S., & Gática-Pérez, D. (2023) · Big Data & Society · doi:10.1177/20539517231206802 · Cited by 22 · see citing works
“By focusing on diversity, the WeNet-project responds to recent criticism of the so-called “ fi lter bubble ” and “ echo chamber ” effects (Bruns, 2019; Pariser, 2012).”
BackgroundConceptualising the ‘algorithmic public opinion’: Public opinion formation in the digital age
Gandini, A., Keeling, S., & Reviglio, U. (2025) · Dialogues on Digital Society · doi:10.1177/29768640251323147 · Cited by 31 · see citing works
“These variations are further compounded by equally heterogeneous legal and epistemological settings and by differing levels of understanding and interpretation of algorithmically powered public opinion processes (cfr. Helberger, 2019).”
Moats, D., & Tseng, Y. (2023) · Information Communication & Society · doi:10.1080/1369118x.2023.2230286 · Cited by 20 · see citing works
“Though the concept has since been critiqued (Bruns, 2019; Dubois & Blank, 2018), the idea is that digital platforms push users into ‘bubbles’ of similar political opinions, worldviews, and knowledges – in particular, algorithmic recommendations are said to filter out diverse opinions and feed users…”
BackgroundPersonalisation in Journalism: Ethical insights and blindspots in Finnish legacy media
Rydenfelt, H., Haapanen, L., Haapoja, J., & Lehtiniemi, T. (2022) · Journalism · doi:10.1177/14648849221138424 · Cited by 20 · see citing works
“While the existence of algorithmically generated fi lter bubbles and echo chambers remains debated (Zuiderveen Borgesius et al., 2016; Dubois and Blank, 2018; Bodó et al., 2019; Bruns, 2019), the negative consequences of selective exposure nevertheless exist in subtle and complicated ways.”
BackgroundIf it is bad, why don’t I quit? Algorithmic recommendation use strategy from folk theories
Chen, K. (2023) · Global Media and China · doi:10.1177/20594364231209354 · Cited by 17 · see citing works
Internet-based micro-identities as a driver of societal disintegration
Kossowska, M., Kłodkowski, P., Siewierska-Chmaj, A., Guinote, A., Kessels, U., Moyano, M., & Strömbäck, J. (2023) · Humanities and Social Sciences Communications · doi:10.1057/s41599-023-02441-z · Cited by 22 · see citing works
Joris, G., Vercoutere, S., Clercq, O. D., Damme, K. V., Mechant, P., & Marez, L. D. (2022) · Digital Journalism · doi:10.1080/21670811.2022.2106445 · Cited by 15 · see citing works
“Although many of these concerns have been nuanced (see, e.g., Bruns 2019), exposure diversity remains an increasingly popular topic in the field of communication science.”
Optimising Emotions, Incubating Falsehoods
Bakir, V., & McStay, A. (2022) · Springer eBooks · doi:10.1007/978-3-031-13551-4 · Cited by 16 · see citing works
Contextures of hate: Towards a systems theory of hate communication on social media platforms
Barth, N., Wagner, E., Raab, P., & Wiegärtner, B. (2023) · The Communication Review · doi:10.1080/10714421.2023.2208513 · Cited by 20 · see citing works
“Media scholars have not only criticized the echo chamber thesis that Habermas is referring to (Bruns, 2019a, 2019b; Törnberg, 2022) but have also argued for a more differentiated concept of digital publics.”
BackgroundKnowledge mapping of information cocoons: A bibliometric study using visual analysis
Yan, C., Pu, K., & Luo, X. (2024) · Journal of Librarianship and Information Science · doi:10.1177/09610006231222628 · Cited by 15 · see citing works
“Bruns (2019) suggests that the “filter bub-ble” generated by information is a key driver of populist politics like Brexit, Trump, or Bolsonaro and is responsible for social & ideological polarization in many countries.”
Turn and Face the Strange: Investigating Filter Bubble Bursting Information Interactions
McKay, D., Owyong, K., Makri, S., & Lopez, M. G. (2022) · Conference on Human Information Interaction and Retrieval · doi:10.1145/3498366.3505822 · Cited by 16 · see citing works
Müller, P., Harrendorf, S., & Mischler, A. (2022) · European Journal on Criminal Policy and Research · doi:10.1007/s10610-022-09509-7 · Cited by 16 · see citing works
Anwar, M. S., Schoenebeck, G. R., & Dhillon, P. S. (2024) · International World Wide Web Conference (WWW) · doi:10.1145/3589334.3645497 · Cited by 14 · see citing works
“However, he didn’t provide a definitive framework, resulting in an ongoing debate marked by an absence of a universally accepted, operational definition [3].”
BackgroundYTTREX: Crowdsourced Analysis of YouTube’s Recommender System During COVID-19 Pandemic
Sanna, L., Romano, S., Corona, G., & Agosti, C. (2021) · Communications in computer and information science · doi:10.1007/978-3-030-76228-5_8 · Cited by 13 · see citing works
“After the concept became widely discussed in the everyday debate, the academics started questioning the existence of the filter bubble effect, following the ideas proposed by Bruns [6] that claimed that there is no evidence that echo chambers and filter bubbles exist outside the academic theory.”
BackgroundMedienkompetenz als Schlüssel für Demokratiekompetenz
Schröder, M. (2021) · Springer eBooks · doi:10.1007/978-3-658-33255-6_5 · Cited by 13 · see citing works
“So würden weitaus ernstere Probleme im Zusammenhang mit dem Aufkommen von Populismus verschleiert (Bruns 2019).”
BackgroundSchellingerhout, R., Beraldo, D., & Marx, M. (2023) · Digital Journalism · doi:10.1080/21670811.2023.2209153 · Cited by 13 · see citing works
“These arguments have for long relied on largely anecdotal accounts and might underestimate the relative importance of individual selective exposure and social processes of homophily (Bruns 2019; Hosseinmardi et al. 2020; Spohr 2017; Zuiderveen Borgesius et al. 2016).”
BackgroundHelm, P., Michael, L., & Schelenz, L. (2022) · Proceedings of the AAAI/ACM Conference on AI Ethics and Society · doi:10.1145/3514094.3534149 · Cited by 11 · see citing works
“While the term itself is contested and different authors may refer to different things, the general idea is that users are trapped in a chamber echoing their own beliefs and interests [6].”
BackgroundKessler, S. H., & Humprecht, E. (2023) · Digital Health · doi:10.1177/20552076231177131 · Cited by 11 · see citing works
For Example: How to Use Examples in Political Science
Dryzek, J. S. (2024) · American Political Science Review · doi:10.1017/s0003055424000480 · Cited by 10 · see citing works
Young People Learning About Algorithms: Five Profiles Spanning From Ineptitude to Enchantment
Brites, M., Castro, T. S., Müller, M. S., & Maneta, M. (2024) · Media and Communication · doi:10.17645/mac.8272 · Cited by 11 · see citing works
Can We Hide in Shadows When the Times are Dark?
Quandt, T. (2021) · Media and Communication · doi:10.17645/mac.v9i1.4020 · Cited by 10 · see citing works
Media Platforms and Algorithms: content and social implications
Nazarov, M. M. (2020) · Communicology · doi:10.21453/2311-3065-2020-8-2-108-124 · Cited by 13 · see citing works
Serttaş, A., Gürkan, H., & Dere, G. (2025) · Journalism and Media · doi:10.3390/journalmedia6030149 · Cited by 14 · see citing works
“To better conceptualize this, Bruns (2019) argues that echo chambers should be understood through the lens of factionalism, where users coalesce around shared identities and grievances, often intensifying polarization.”
Schmidt, F., Mangold, F., Stier, S., & Ulloa, R. (2024) · Political Communication · doi:10.1080/10584609.2024.2342983 · Cited by 9 · see citing works
Bodrunova, S. S., Blekanov, I. S., & Maksimov, A. (2021) · Lecture notes in computer science · doi:10.1007/978-3-030-77626-8_14 · Cited by 9 · see citing works
Ranaivoson, H. R., & Domazetovikj, N. (2023) · Media and Communication · doi:10.17645/mac.v11i2.6401 · Cited by 12 · see citing works
Epistemic Responsibility, Rights and Duties During the COVID-19 Pandemic
Karimov, A. R., Lavazza, A., & Farina, M. (2022) · Social Epistemology · doi:10.1080/02691728.2022.2077856 · Cited by 9 · see citing works
“Filter bubbles (Flaxman, Goel, and Rao 2016; Bruns 2019) are informational spaces where those relying on their news invariably get the information that favors their opinion.”
BackgroundPolitical Influencers and Their Social Media Audiences during the 2021 Arizona Audit
Rose, K., & Rohlinger, D. A. (2024) · Socius Sociological Research for a Dynamic World · doi:10.1177/23780231241259680 · Cited by 8 · see citing works
“Furthermore, given that echo chambers can emerge from smaller groups of users densely connected with one another (Bruns 2019), focusing on micro-influencers can help scholars identify political, and potentially politically extreme, echo chambers.”
Spyridou, L., Djouvas, C., & Milioni, D. L. (2022) · Future Internet · doi:10.3390/fi14100284 · Cited by 8 · see citing works
Poliittinen polarisaatio ja journalismi: neljä medialuottamusprofiilia
Reunanen, E. (2022) · Media & viestintä · doi:10.23983/mv.125625 · Cited by 8 · see citing works
Chae, S. W., & Hara, N. (2023) · Information Communication & Society · doi:10.1080/1369118x.2023.2227674 · Cited by 8 · see citing works
“Along with these mixed fi ndings, some recent studies (Bruns, 2019; Tuters, 2020) noted the di ffi culty of determining which notion is correct and that, more importantly, the reality is more dynamic than the simple molds that previous studies suggested.”
BackgroundResultMcKay, D., Makri, S., Lopez, M. G., Porlezza, C., MacFarlane, A., Cooper, G., & Missaoui, S. (2024) · Journal of the Association for Information Science and Technology · doi:10.1002/asi.24885 · Cited by 8 · see citing works
“However, there is a growing body of evidence demonstrating that concerns about filter bubbles and echo chambers have been overstated (Dubois & Blank, 2018; Fletcher & Nielsen, 2017, 2018b); despite the hype, there is no empirical evidence of a filter bubble effect (Bruns, 2019).”
BackgroundInfluential“It Became No Man’s Land”: The Burden of Moderating Online Harassment in Newswork
Dodds, T., Geboers, M., & Boukes, M. (2026) · Journalism Practice · doi:10.1080/17512786.2024.2387664 · Cited by 8 · see citing works
“In fact, exposure to diversified information can intensify polarization by reinforcing in-group identification and creating an “other” that represents the political enemy (Bruns 2019).”
Ахременко, А. С., & Викторовна, Б. Е. (2021) · Monitoring obŝestvennogo mneniâ: èkonomičeskie i socialʹnye peremeny · doi:10.14515/monitoring.2021.6.2111 · Cited by 8 · see citing works
Eilders, C., Kelm, O., & Weinmann, C. (2022) · Forschungsjournal Soziale Bewegungen · doi:10.1515/fjsb-2022-0024 · Cited by 7 · see citing works
Serendipity as a Design Principle of Personalization Systems—Theoretical Distinctions
Reviglio, U. (2023) · Springer eBooks · doi:10.1007/978-3-031-33529-7_8 · Cited by 7 · see citing works
Designing with Uncertainty: LLM Interfaces as Transitional Spaces for Democratic Revival
Delacroix, S. (2025) · Minds and Machines · doi:10.1007/s11023-025-09736-x · Cited by 6 · see citing works
“Bruns ( 2019 ) challenges the filter bubble thesis by documenting the substantial cross-ideological exposure that characterizes actual digital media consumption patterns.”
Digital Echo Chambers as Phenomenon of Political Space
Beznosov, M., & Golikov, A. (2022) · RUDN Journal of Political Science · doi:10.22363/2313-1438-2022-24-3-499-516 · Cited by 7 · see citing works
“And it received a very substantial response from the journalist community resulting in the additional attention to this issue eventually also raising the interest in the problem of “echo chamber” [Bruns 2019] — and its potential harms to the ways we live and operate.”
BackgroundRight-Wing Twitter Users in France Exhibit Growing Homophily Compared With Left and Center Users
Gurchani, U. (2024) · Social Media + Society · doi:10.1177/20563051241234689 · Cited by 6 · see citing works
“Bruns (2019) challenges the notion of filter bubbles, contending that their existence has been overstated in traditional media.”
BackgroundSocializing the political: rethinking filter bubbles and social media with Hannah Arendt
Daus, Z. (2024) · Ethics and Information Technology · doi:10.1007/s10676-024-09759-5 · Cited by 7 · see citing works
“Findings such as these appear to confirm the claim that “the more critical filter […] exists in our heads” (Bruns, 2019, p. 10).”
Hate-sharing: A case study of its prevalence and impact on Gab
Weigel, M., & Gitomer, A. (2024) · New Media & Society · doi:10.1177/14614448241245349 · Cited by 9 · see citing works
“Numerous critics have objected that popular and academic discourse about the echo chamber effect is “overstated” (Dubois and Blank, 2018) and may “obscure the real problem” (Bruns, 2019) or even constitute an echo chamber itself (Guess et al., 2018).”
Estimating ideology and polarization in European countries using Facebook data
Caravaca, F., González-Cabañas, J., Cuevas, √., & Cuevas, R. (2022) · EPJ Data Science · doi:10.1140/epjds/s13688-022-00367-1 · Cited by 6 · see citing works
Spitzmüller, J., & Pfadenhauer, M. (2024) · Zeitschrift für Germanistische Linguistik · doi:10.1515/zgl-2024-2002 · Cited by 5 · see citing works
van Es, K. F., & Nguyen, D. (2024) · Journalism Practice · doi:10.1080/17512786.2024.2392654 · Cited by 5 · see citing works
“Impor-tantly, the filter bubble hypothesis has not been substantiated by empirical studies (Bruns 2019), and some suggest that recommender systems may support diversity exposure (Helberger 2015; Möller et al. 2018).”
The return of propaganda: Historical legacies and contemporary conceptualisations
Bolin, G., & Kunelius, R. (2023) · Nordic Journal of Media Studies · doi:10.2478/njms-2023-0001 · Cited by 5 · see citing works
Information Bubble: How to Control Democracy in the Information Society Era
Milczarek, E. (2023) · Izzivi prihodnosti · doi:10.37886/ip.2023.001 · Cited by 5 · see citing works
Sosyal Medyadaki Yanlış Bilgiye Yönelik Kullanıcı Doğrulama Davranışlarının İncelenmesi
Salman, G. (2023) · Türkiye İletişim Araştırmaları Dergisi · doi:10.17829/turcom.1196015 · Cited by 4 · see citing works
Narrative diffusion in social networks: a survey
Gurung, M. I., & Agarwal, N. (2025) · Social Network Analysis and Mining · doi:10.1007/s13278-025-01565-1 · Cited by 4 · see citing works
Bagnoli, F., Cavalcabo’, G. D. B., Casu, B., & Guazzini, A. (2021) · Future Internet · doi:10.3390/fi13110296 · Cited by 4 · see citing works
The mind online: Can digital technologies affect how we think?
Ρούσσος, Π. (2023) · Psychology the Journal of the Hellenic Psychological Society · doi:10.12681/psy_hps.36226 · Cited by 6 · see citing works
Jindal, P., & Gouri, H. (2024) · Advances in marketing, customer relationship management, and e-services book series · doi:10.4018/979-8-3693-1918-5.ch004 · Cited by 5 · see citing works
Recommendation Systems: Issues, Challenges and Regulations
Furini, M. (2024) · IEEE Symposium on Computers and Communications (ISCC) · doi:10.1109/iscc61673.2024.10733684 · Cited by 6 · see citing works
“Furthermore, they can contribute to political polarization by selectively presenting contents that reinforces users’ political ideologies: the Cambridge Analytica case highlighted how algorithms attempted to influence the democratic process in elections [39].”
BackgroundWho Cares How Information Feels? A Call for Digital Influence Literacy
Senft, T. M. (2025) · Asian Bioethics Review · doi:10.1007/s41649-024-00350-0 · Cited by 4 · see citing works
“Again, a causal relationship between automated filtering and ideological polarization has yet to be proven, at least in political contexts (Bruns 2019).”
Technik als Weltbezug, Affordanzen als Reflexionsbegriff
König, T. (2022) · Zeitschrift für Politikwissenschaft · doi:10.1007/s41358-022-00312-8 · Cited by 4 · see citing works
Flood the Zone with Shit: Algorithmic Domination in the Modern Republic
Maynor, J. W. (2025) · Social Sciences · doi:10.3390/socsci14060391 · Cited by 3 · see citing works
The role of the Internet in political socialization of modern Russian youth
Samsonova, T. N., & Leonov, E. K. (2022) · Moscow State University Bulletin Series 18 Sociology and Political Science · doi:10.24290/1029-3736-2022-28-2-93-118 · Cited by 3 · see citing works
Heyen, F., & Manzel, S. (2023) · Sozialwissenschaften und Berufspraxis · doi:10.1007/978-3-658-38268-1_9 · Cited by 4 · see citing works
Norberg, P. A., & Horne, D. R. (2024) · Journal of Consumer Affairs · doi:10.1111/joca.12586 · Cited by 4 · see citing works
Santana, R. D., & Neves, B. C. (2022) · Logeion Filosofia da Informação · doi:10.21728/logeion.2022v8n2.p47-64 · Cited by 3 · see citing works
Wenzlhuemer, R., Menger, T., Huber, V., et al. (2023) · Journal of Modern European History · doi:10.1177/16118944221148939 · Cited by 3 · see citing works
Tuomola, S. (2023) · Media & viestintä · doi:10.23983/mv.131188 · Cited by 3 · see citing works
Understanding the Role of Social Media Toward Satisfaction of Government in Indonesia
Sakti, R., & Nainggolan, B. (2023) · Jurnal Komunikasi Indonesia · doi:10.7454/jkmi.v12i1.1185 · Cited by 10 · see citing works
The Evolution of Conformity, Malleability, and Influence in Simulated Online Agents
Downing, K. L. (2023) · Artificial Life · doi:10.1162/artl_a_00413 · Cited by 3 · see citing works
“…the user’s horizons and are key tools for the future of computing, and more recent publications by communication researchers (Borgesius et al., 2016; Bruns, 2019) claim that filter bubbles and echo chambers are poorly defined concepts that have no clear correlation with personalization and get far…”
BackgroundMethodHow platform power undermines diversity-oriented innovation
Helm, P. (2024) · Internet Policy Review · doi:10.14763/2024.2.1780 · Cited by 3 · see citing works
Skovgaard, L., & Grundtvig, A. (2023) · Digital Health · doi:10.1177/20552076231169832 · Cited by 3 · see citing works
Exploring Users' Perspectives on a Solid-Enabled Personal Data Store Enhanced Streaming Service
Theys, T., Hove, S. V., Mechant, P., Impe, G. V., Heerinckx, A., & Saldien, J. (2025) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3706598.3713308 · Cited by 2 · see citing works
“…system can be useful for retrieving relevant content; however, it also carries the risk of creating flter bubbles that isolate individuals from diverse perspectives, limiting exposure to a narrow set of content [3] and potentially contributing to societal and ideological polarization [8].”
- Authors
- Bruns, A.
- Affiliations
- Queensland University of Technology (AU)
- Corresponding author
- Bruns, Axel
- ORCID
- Bruns, Axel
- Venue
- Internet Policy Review
- Published
- 2019-11-29
- Volume
- 8
- Issue
- 4
- ISSN
- 2197-6775 (ISSN-L)
- OpenAlex
- W4206182481
- Cited by
- 193
- References
- 28
- Citations by year
- 2026: 19 · 2025: 34 · 2024: 34 · 2023: 45 · 2022: 32 · 2021: 23 · 2020: 5 · 2019: 1
- FWCI
- 30.80
- Type
- journal article
- Language
- en
- Open access
- diamond
- doi.org
- Licence
- cc-by
- Locations
- Internet Policy Review (publishedVersion, cc-by)
- QUT ePrints (Queensland University of Technology) (submittedVersion, cc-by)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion)
- Econstor (Econstor) (submittedVersion, cc-by)
- Funders
- Australian Research Council
- Topics
- Social Sciences › Sociology and Political Science › Misinformation and Its Impacts
- Social Sciences › Safety Research › Ethics and Social Impacts of AI
- Social Sciences › Communication › Social Media and Politics
- Keywords
- filter bubbles, algorithmic filtering, information filtering, internet environment, conceptual definitions, research critique
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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