The DOI matches its Crossref record; 48 of the 48 references it cites were found in a registry or an index.
Algorithmic inference, political interest, and exposure to news and politics on Facebook
Abstract
The visibility of news and politics in a Facebook newsfeed depends on the actions of a diverse set of actors: users, their friends, content publishers such as news organizations, advertisers, and algorithms. The focus of this paper is on untangling the role of this last actor from the others. We ask, how does Facebook algorithmically infer what users are interested in, and how do interest inferences shape news exposure? We weave together survey data and interest categorization data from participants’ Facebook accounts to audit the algorithmic interest classification system on Facebook. These data allow us to model the role of algorithmic inference in shaping content exposure. We show that algorithmic ‘sorting out’ of users has consequences for who is exposed to news and politics on Facebook. People who are algorithmically categorized as interested in news or politics are more likely to attract this kind of content into their feeds – above and beyond their self-reported interest in civic content.
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Cites
lavaan : An R Package for Structural Equation Modeling
Rosseel, Y. (2012) · Journal of Statistical Software · doi:10.18637/jss.v048.i02 · Cited by 27,955
Birds of a Feather: Homophily in Social Networks
McPherson, M., Smith-Lovin, L., & Cook, J. M. (2001) · Annual Review of Sociology · doi:10.1146/annurev.soc.27.1.415 · Cited by 18,567
Sorting Things Out: Classification and Its Consequences
Bowker, G. C., & Star, S. L. (1999) · doi:10.7551/mitpress/6352.001.0001 · Cited by 6,188
Automating Inequality: How High-Tech Tools Profile, Police, and Punish the Poor
Lebovits, H. (2019) · Public Integrity · doi:10.1080/10999922.2018.1511671 · Cited by 3,279
Exposure to ideologically diverse news and opinion on Facebook
Bakshy, E., Messing, S., & Adamic, L. A. (2015) · Science · doi:10.1126/science.aaa1160 · Cited by 3,245
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
Prior, M. (2007) · Cambridge University Press eBooks · doi:10.1017/cbo9781139878425 · Cited by 1,582
The Hybrid Media System: Politics and Power
Chadwick, A. (2013) · Oxford University Press eBooks · doi:10.1093/acprof:oso/9780199759477.001.0001 · Cited by 1,550
Freedom and Control in Modern Society.
Dahl, R. A., Berger, M., Abel, T., & Page, C. H. (1954) · American Sociological Review · doi:10.2307/2087947 · Cited by 1,361
Thinking critically about and researching algorithms
Kitchin, R. (2017) · Information, Communication & Society · doi:10.1080/1369118x.2016.1154087 · Cited by 1,186
Research works printed but not linked: 7
- Cinelli M., 2019, arXiv Preprint ArXiv:1903.00699, 1 · arXiv
- 10.7551/mitpress/9780262525374.003.0009 · doi:10.7551/mitpress/9780262525374.003.0009 · Paper page
- Guess A., 2018, Political Communication, 36, 1
- Juan Y.-F., 2012, U.S. Patent No. 2012/0166532A1
- 10.2307/2579133 · doi:10.2307/2579133 · Paper page
- Roberts J., 2017, The Economist’s machine-powered social
- 10.23943/princeton/9780691154848.001.0001 · doi:10.23943/princeton/9780691154848.001.0001
Cited by
Six Human-Centered Artificial Intelligence Grand Challenges
Ozmen Garibay, O., Winslow, B., Andolina, S., Antona, M., Bodenschatz, A., Coursaris, C., Falco, G., Fiore, S. M., Garibay, I., Grieman, K., et al. (2023) · International Journal of Human–Computer Interaction · doi:10.1080/10447318.2022.2153320 · Cited by 501
A systematic review of worldwide causal and correlational evidence on digital media and democracy
Lorenz-Spreen, P., Oswald, L., Lewandowsky, S., & Hertwig, R. (2022) · Nature Human Behaviour · doi:10.1038/s41562-022-01460-1 · Cited by 348
Echo Chambers on Social Media: A Systematic Review of the Literature
Ludovic Terren, L. T., & Rosa Borge-Bravo, R. B.-B. (2021) · Review of Communication Research · doi:10.12840/issn.2255-4165.028 · Cited by 272
Ohme, J., Araujo, T., Boeschoten, L., Freelon, D., Ram, N., Reeves, B. B., & Robinson, T. N. (2024) · Communication Methods and Measures · doi:10.1080/19312458.2023.2181319 · Cited by 208
Algorithmic Political Bias in Artificial Intelligence Systems
Peters, U. (2022) · Philosophy & Technology · doi:10.1007/s13347-022-00512-8 · Cited by 111
Metadata
- Authors
- Thorson, K., Cotter, K., Medeiros, M., & Pak, C.
- Venue
- Information, Communication & Society
- Publisher
- Informa UK Limited
- Published
- 2019-07-27
- Volume
- 24
- Issue
- 2
- Pages
- 183-200
- ISSN
- 1369-118X (ISSN-L)
- 1468-4462
- OpenAlex
- W2966100557
- Cited by
- 361
- References
- 48
- FWCI
- 82.99
- Type
- journal article
- Language
- en
- Open access
- closed
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- Thorson, K., Cotter, K., Medeiros, M., & Pak, C. (2021). Algorithmic inference, political interest, and exposure to news and politics on Facebook. Information, Communication & Society. https://doi.org/10.1080/1369118x.2019.1642934
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