What kind of news gatekeepers do we want machines to be? Filter bubbles, fragmentation, and the normative dimensions of algorithmic recommendations
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Cites
Conducting behavioral research on Amazon’s Mechanical Turk
Mason, W., & Suri, S. (2012) · Behavior Research Methods · doi:10.3758/s13428-011-0124-6 · Cited by 3,172 · see citing works
Gillespie, T. (2010) · New Media & Society · doi:10.1177/1461444809342738 · Cited by 2,522 · see citing works
Filter Bubbles, Echo Chambers, and Online News Consumption
Flaxman, S., Goel, S., & Rao, J. M. (2016) · Public Opinion Quarterly · doi:10.1093/poq/nfw006 · Cited by 1,992 · see citing works
Red Media, Blue Media: Evidence of Ideological Selectivity in Media Use
Iyengar, S., & Hahn, K. S. (2009) · Journal of Communication · doi:10.1111/j.1460-2466.2008.01402.x · Cited by 1,940 · see citing works
The emerging role of electronic marketplaces on the Internet
Bakos, Y. (1998) · Communications of the ACM · doi:10.1145/280324.280330 · Cited by 1,386 · see citing works
Discrimination in online ad delivery
Sweeney, L. (2013) · Communications of the ACM · doi:10.1145/2447976.2447990 · Cited by 783 · see citing works
Should 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
Algorithms in practice: Comparing web journalism and criminal justice
Christin, A. (2017) · Big Data & Society · doi:10.1177/2053951717718855 · Cited by 379 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
Hermann, E. (2022) · New Media & Society · doi:10.1177/14614448211022702 · Cited by 214 · see citing works
Bruns, A. (2019) · Internet Policy Review · doi:10.14763/2019.4.1426 · Cited by 193 · see citing works
Problematic Machine Behavior: A Systematic Literature Review of Algorithm Audits
Bandy, J. (2021) · Proceedings of the ACM on Human-Computer Interaction · doi:10.1145/3449148 · Cited by 193 · see citing works
Degenerate Feedback Loops in Recommender Systems
Jiang, R., Chiappa, S., Lattimore, T., György, A., & Kohli, P. (2019) · Proceedings of the 2019 AAAI/ACM Conference on AI, Ethics, and Society · doi:10.1145/3306618.3314288 · Cited by 232 · see citing works
Through the Newsfeed Glass: Rethinking Filter Bubbles and Echo Chambers
Figà Talamanca, G., & Arfini, S. (2022) · Philosophy & Technology · doi:10.1007/s13347-021-00494-z · Cited by 41 · see citing works
Digitising “The Big Lie”: Algorithmic Curation as an Inhibitor of Media Exposure Diversity Online
Reid, J. (2024) · Communicatio · doi:10.1080/02500167.2024.2424841 · Cited by 10 · see citing works
- Authors
- Nechushtai, E., & Lewis, S. C.
- Affiliations
- Columbia University (US)
- University of Oregon (US)
- Corresponding author
- Nechushtai, Efrat
- Venue
- Computers in Human Behavior
- Publisher
- Elsevier BV
- Published
- 2019-01
- Volume
- 90
- Pages
- 298-307
- ISSN
- 0747-5632 (ISSN-L)
- OpenAlex
- W2886498471
- Cited by
- 237
- References
- 8
- Citations by year
- 2026: 21 · 2025: 25 · 2024: 31 · 2023: 41 · 2022: 39 · 2021: 39 · 2020: 25 · 2019: 14 · 2018: 2
- FWCI
- 43.78
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Computers in Human Behavior (publishedVersion)
- Funders
- Tow Center for Digital Journalism at Columbia University
- Topics
- Social Sciences › Communication › Media Studies and Communication
- Social Sciences › Sociology and Political Science › Media Influence and Politics
- Social Sciences › Sociology and Political Science › Misinformation and Its Impacts
- Keywords
- filter bubbles, echo chambers, news fragmentation, news gatekeeping, Google News, 2016 US presidential election, partisanship
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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