Kevin Munger

2.2k total citations
42 papers, 1.1k citations indexed

About

Kevin Munger is a scholar working on Communication, Sociology and Political Science and Artificial Intelligence. According to data from OpenAlex, Kevin Munger has authored 42 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Communication, 29 papers in Sociology and Political Science and 9 papers in Artificial Intelligence. Recurrent topics in Kevin Munger's work include Social Media and Politics (28 papers), Misinformation and Its Impacts (17 papers) and Media Influence and Politics (12 papers). Kevin Munger is often cited by papers focused on Social Media and Politics (28 papers), Misinformation and Its Impacts (17 papers) and Media Influence and Politics (12 papers). Kevin Munger collaborates with scholars based in United States, Italy and United Kingdom. Kevin Munger's co-authors include Joseph Phillips, Andrew M. Guess, Jonathan Nagler, Joshua A. Tucker, Arthur Spirling, Kenneth Benoit, Eszter Hargittai, Mario Luca, Richard Bonneau and Jason Pilny Radford and has published in prestigious journals such as Nature, SHILAP Revista de lepidopterología and American Journal of Political Science.

In The Last Decade

Kevin Munger

40 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kevin Munger United States 17 685 576 288 180 104 42 1.1k
Adrian Rauchfleisch Taiwan 21 700 1.0× 656 1.1× 261 0.9× 178 1.0× 109 1.0× 45 1.1k
Alexandra Siegel United States 11 769 1.1× 616 1.1× 304 1.1× 219 1.2× 123 1.2× 20 1.1k
Dan Mercea United Kingdom 14 686 1.0× 709 1.2× 258 0.9× 211 1.2× 126 1.2× 49 1.1k
Neta Kligler-Vilenchik Israel 24 825 1.2× 981 1.7× 224 0.8× 171 0.9× 126 1.2× 54 1.4k
Marco Bastos Ireland 17 719 1.0× 696 1.2× 299 1.0× 151 0.8× 184 1.8× 78 1.2k
Friedolin Merhout United States 7 764 1.1× 650 1.1× 204 0.7× 209 1.2× 275 2.6× 8 1.1k
JungHwan Yang United States 14 609 0.9× 694 1.2× 214 0.7× 214 1.2× 135 1.3× 27 1.0k
Ashley Muddiman United States 16 637 0.9× 759 1.3× 361 1.3× 142 0.8× 77 0.7× 33 1.1k
Lisa P. Argyle United States 6 726 1.1× 587 1.0× 304 1.1× 210 1.2× 258 2.5× 19 1.3k
Elad Segev Israel 18 561 0.8× 538 0.9× 128 0.4× 137 0.8× 79 0.8× 51 1.1k

Countries citing papers authored by Kevin Munger

Since Specialization
Citations

This map shows the geographic impact of Kevin Munger'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 Kevin Munger with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kevin Munger more than expected).

Fields of papers citing papers by Kevin Munger

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kevin Munger. 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 Kevin Munger. The network helps show where Kevin Munger may publish in the future.

Co-authorship network of co-authors of Kevin Munger

This figure shows the co-authorship network connecting the top 25 collaborators of Kevin Munger. A scholar is included among the top collaborators of Kevin Munger 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 Kevin Munger. Kevin Munger 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.
Munger, Kevin, et al.. (2025). Social Scientists on the Role of AI in Research. Proceedings of the AAAI/ACM Conference on AI Ethics and Society. 8(1). 528–540.
2.
Munger, Kevin, et al.. (2025). Thirst Traps and Quick Cuts: The Effects of TikTok “Edits” on Evaluations of Politicians. Social Media + Society. 11(2). 1 indexed citations
3.
Munger, Kevin, et al.. (2025). Pressing Play on Politics: Quantitative Description of YouTube. HOPE (Hauptbibliothek Open Publishing Environment) (University of Zurich). 5.
4.
Munger, Kevin, et al.. (2024). ‘’Reenviado Muchas Veces”: How Platform Warnings Affect WhatsApp Users in Mexico and Colombia. Political Communication. 41(5). 719–742. 1 indexed citations
5.
Munger, Kevin, et al.. (2024). Introducing the Visual Conjoint, with an Application to Candidate Evaluation on Social Media. Journal of Experimental Political Science. 12(1). 57–71. 2 indexed citations
6.
Lucas, Christopher, et al.. (2024). Political Deepfakes Are as Credible as Other Fake Media and (Sometimes) Real Media. The Journal of Politics. 87(2). 510–526. 5 indexed citations
7.
Munger, Kevin. (2024). What Did We Learn About Political Communication from the Meta2020 Partnership?. Political Communication. 42(1). 201–207. 1 indexed citations
8.
Munger, Kevin. (2023). Temporal validity as meta-science. Research & Politics. 10(3). 15 indexed citations
9.
Guess, Andrew M. & Kevin Munger. (2022). Digital literacy and online political behavior. Political Science Research and Methods. 11(1). 110–128. 53 indexed citations
10.
Munger, Kevin. (2022). Generation Gap. Columbia University Press eBooks. 18 indexed citations
11.
Lazer, David, Eszter Hargittai, Deen Freelon, et al.. (2021). Meaningful measures of human society in the twenty-first century. Nature. 595(7866). 189–196. 66 indexed citations
12.
Luca, Mario, Kevin Munger, Jonathan Nagler, & Joshua A. Tucker. (2021). You Won’t Believe Our Results! But They Might: Heterogeneity in Beliefs About the Accuracy of Online Media. Journal of Experimental Political Science. 9(2). 267–277. 10 indexed citations
13.
Matias, J. Nathan, et al.. (2021). The Upworthy Research Archive, a time series of 32,487 experiments in U.S. media. Scientific Data. 8(1). 195–195. 16 indexed citations
14.
Munger, Kevin, Patrick J Egan, Jonathan Nagler, Jonathan Ronen, & Joshua A. Tucker. (2020). Political Knowledge and Misinformation in the Era of Social Media: Evidence From the 2015 UK Election. British Journal of Political Science. 52(1). 107–127. 15 indexed citations
15.
Munger, Kevin. (2020). Don’t @ Me: Experimentally Reducing Partisan Incivility on Twitter. Journal of Experimental Political Science. 8(2). 102–116. 19 indexed citations
16.
Bisbee, James, Jennifer Larson, & Kevin Munger. (2020). #polisci Twitter: A Descriptive Analysis of how Political Scientists Use Twitter in 2019. Perspectives on Politics. 20(3). 879–900. 19 indexed citations
17.
Munger, Kevin, Mario Luca, Jonathan Nagler, & Joshua A. Tucker. (2020). The (Null) Effects of Clickbait Headlines on Polarization, Trust, and Learning. Public Opinion Quarterly. 84(1). 49–73. 39 indexed citations
18.
Matias, J. Nathan, et al.. (2019). The Upworthy Research Archive. OSF Preprints (OSF Preprints). 1 indexed citations
19.
Benoit, Kenneth, Kevin Munger, & Arthur Spirling. (2019). Measuring and Explaining Political Sophistication through Textual Complexity. American Journal of Political Science. 63(2). 491–508. 64 indexed citations
20.
Munger, Kevin, Richard Bonneau, Jonathan Nagler, & Joshua A. Tucker. (2018). Elites Tweet to Get Feet Off the Streets: Measuring Regime Social Media Strategies During Protest. Political Science Research and Methods. 7(4). 815–834. 41 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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