Christopher A. Bail

5.6k total citations · 5 hit papers
31 papers, 3.1k citations indexed

About

Christopher A. Bail is a scholar working on Sociology and Political Science, Communication and Statistical and Nonlinear Physics. According to data from OpenAlex, Christopher A. Bail has authored 31 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Sociology and Political Science, 15 papers in Communication and 9 papers in Statistical and Nonlinear Physics. Recurrent topics in Christopher A. Bail's work include Social Media and Politics (14 papers), Opinion Dynamics and Social Influence (9 papers) and Misinformation and Its Impacts (6 papers). Christopher A. Bail is often cited by papers focused on Social Media and Politics (14 papers), Opinion Dynamics and Social Influence (9 papers) and Misinformation and Its Impacts (6 papers). Christopher A. Bail collaborates with scholars based in United States, Denmark and United Kingdom. Christopher A. Bail's co-authors include Friedolin Merhout, Taylor Brown, Alexander Volfovsky, Marcus Mann, Lisa P. Argyle, M. B. Fallin Hunzaker, Haohan Chen, Jaemin Lee, Terence E. McDonnell and Iddo Tavory and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and American Sociological Review.

In The Last Decade

Christopher A. Bail

30 papers receiving 2.9k citations

Hit Papers

Exposure to opposing views on social ... 2008 2026 2014 2020 2018 2020 2008 2014 2024 250 500 750

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Christopher A. Bail United States 20 2.0k 1.1k 607 446 428 31 3.1k
Deen Freelon United States 24 1.9k 1.0× 2.0k 1.8× 503 0.8× 689 1.5× 408 1.0× 50 3.3k
Pablo Barberá United States 26 2.8k 1.4× 2.9k 2.6× 1.2k 2.0× 1.0k 2.3× 863 2.0× 44 4.8k
Damian Trilling Netherlands 23 1.3k 0.6× 1.3k 1.2× 209 0.3× 444 1.0× 203 0.5× 85 2.3k
Michael A. Xenos United States 40 3.1k 1.5× 2.9k 2.7× 691 1.1× 640 1.4× 224 0.5× 111 5.1k
David Rothschild United States 21 3.3k 1.6× 1.4k 1.3× 382 0.6× 997 2.2× 535 1.3× 67 4.8k
Robert M. Bond United States 13 1.3k 0.7× 950 0.9× 385 0.6× 311 0.7× 632 1.5× 45 2.5k
Eli Pariser United States 4 1.7k 0.8× 1.4k 1.3× 295 0.5× 502 1.1× 421 1.0× 4 3.2k
W. Russell Neuman United States 22 2.9k 1.4× 2.6k 2.4× 1.5k 2.5× 266 0.6× 243 0.6× 58 5.2k
Christopher J. Fariss United States 20 1.7k 0.8× 741 0.7× 699 1.2× 269 0.6× 581 1.4× 68 2.8k
Josh Pasek United States 29 1.7k 0.9× 866 0.8× 516 0.9× 186 0.4× 119 0.3× 65 2.7k

Countries citing papers authored by Christopher A. Bail

Since Specialization
Citations

This map shows the geographic impact of Christopher A. Bail's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Christopher A. Bail with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christopher A. Bail more than expected).

Fields of papers citing papers by Christopher A. Bail

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Christopher A. Bail. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Christopher A. Bail. The network helps show where Christopher A. Bail may publish in the future.

Co-authorship network of co-authors of Christopher A. Bail

This figure shows the co-authorship network connecting the top 25 collaborators of Christopher A. Bail. A scholar is included among the top collaborators of Christopher A. Bail based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Christopher A. Bail. Christopher A. Bail is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Watts, Duncan J., et al.. (2025). A research agenda for encouraging prosocial behaviour on social media. Nature Human Behaviour. 9(3). 441–449.
2.
Kapoor, Sayash, Christopher A. Bail, Odd Erik Gundersen, et al.. (2024). REFORMS: Consensus-based Recommendations for Machine-learning-based Science. Science Advances. 10(18). eadk3452–eadk3452. 27 indexed citations
3.
Bail, Christopher A.. (2024). Can Generative AI improve social science?. Proceedings of the National Academy of Sciences. 121(21). e2314021121–e2314021121. 85 indexed citations breakdown →
4.
Argyle, Lisa P., et al.. (2023). Perceived gender and political persuasion: a social media field experiment during the 2020 US Democratic presidential primary election. Scientific Reports. 13(1). 14051–14051. 2 indexed citations
5.
Guay, Brian, et al.. (2023). Reducing political polarization in the United States with a mobile chat platform. Nature Human Behaviour. 7(9). 1454–1461. 24 indexed citations
6.
Jahani, Eaman, Natalie M. Gallagher, Friedolin Merhout, et al.. (2022). An Online experiment during the 2020 US–Iran crisis shows that exposure to common enemies can increase political polarization. Scientific Reports. 12(1). 19304–19304. 7 indexed citations
7.
Lena, Jennifer C., Omar Ližardo, Terence E. McDonnell, et al.. (2019). Measuring Culture. Columbia University Press eBooks. 5 indexed citations
8.
Bail, Christopher A., Lisa P. Argyle, Taylor Brown, et al.. (2018). Exposure to opposing views on social media can increase political polarization. Proceedings of the National Academy of Sciences. 115(37). 9216–9221. 904 indexed citations breakdown →
9.
Bail, Christopher A., Friedolin Merhout, & Peng Ding. (2018). Using Internet search data to examine the relationship between anti-Muslim and pro-ISIS sentiment in U.S. counties. Science Advances. 4(6). 18 indexed citations
10.
Bail, Christopher A.. (2017). Taming Big Data. Sociological Methods & Research. 46(2). 189–217. 6 indexed citations
11.
Bail, Christopher A.. (2016). Cultural carrying capacity: Organ donation advocacy, discursive framing, and social media engagement. Social Science & Medicine. 165. 280–288. 44 indexed citations
12.
Bail, Christopher A.. (2016). Combining natural language processing and network analysis to examine how advocacy organizations stimulate conversation on social media. Proceedings of the National Academy of Sciences. 113(42). 11823–11828. 98 indexed citations
13.
Bail, Christopher A.. (2016). Emotional Feedback and the Viral Spread of Social Media Messages About Autism Spectrum Disorders. American Journal of Public Health. 106(7). 1173–1180. 35 indexed citations
14.
Bail, Christopher A.. (2015). Taming Big Data. Sociological Methods & Research. 46(2). 189–217. 21 indexed citations
15.
Bail, Christopher A.. (2014). Terrified. Princeton University Press eBooks. 43 indexed citations
16.
Bail, Christopher A.. (2014). The cultural environment: measuring culture with big data. Theory and Society. 43(3-4). 465–482. 185 indexed citations breakdown →
17.
Bail, Christopher A.. (2012). The Fringe Effect. American Sociological Review. 77(6). 855–879. 179 indexed citations
18.
Bail, Christopher A.. (2008). The Configuration of Symbolic Boundaries against Immigrants in Europe. American Sociological Review. 73(1). 37–59. 307 indexed citations breakdown →
19.
Lamont, Michèle & Christopher A. Bail. (2005). Sur les frontières de la reconnaissance. Revue européenne de migrations internationales. 21(2). 61–90. 6 indexed citations
20.
Lamont, Michèle & Christopher A. Bail. (2005). Sur les frontières de la reconnaissance: Les catégories internes et externes de l’identité collective. SPIRE - Sciences Po Institutional REpository. 32 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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