Samuel Woolley

1.5k total citations · 1 hit paper
30 papers, 715 citations indexed

About

Samuel Woolley is a scholar working on Communication, Sociology and Political Science and Artificial Intelligence. According to data from OpenAlex, Samuel Woolley has authored 30 papers receiving a total of 715 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Communication, 16 papers in Sociology and Political Science and 12 papers in Artificial Intelligence. Recurrent topics in Samuel Woolley's work include Social Media and Politics (14 papers), Misinformation and Its Impacts (12 papers) and Hate Speech and Cyberbullying Detection (11 papers). Samuel Woolley is often cited by papers focused on Social Media and Politics (14 papers), Misinformation and Its Impacts (12 papers) and Hate Speech and Cyberbullying Detection (11 papers). Samuel Woolley collaborates with scholars based in United States, United Kingdom and Russia. Samuel Woolley's co-authors include Philip N. Howard, Ryan Calo, Martin Riedl, Josephine Lukito, Francis Fukuyama, Daphne Keller, Nathaniel Persily, Pablo Barberá, Alexandra Siegel and Tim Hwang and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Journal of Experimental Psychology General.

In The Last Decade

Samuel Woolley

30 papers receiving 667 citations

Hit Papers

Political Influencers on Social Media: An Introduction 2023 2026 2024 2025 2023 10 20 30 40 50
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Political Influencers on Social Media: An Introduction
    2023 55 citations Martin Riedl, Josephine Lukito et al. Social Media + Society profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Samuel Woolley United States 9 483 361 217 134 87 30 715
Marco Bastos Ireland 17 719 1.5× 696 1.9× 299 1.4× 154 1.1× 151 1.7× 78 1.2k
Ulrike Klinger Switzerland 11 492 1.0× 678 1.9× 200 0.9× 77 0.6× 223 2.6× 31 987
Johan Farkas Denmark 12 538 1.1× 469 1.3× 309 1.4× 79 0.6× 135 1.6× 27 865
Maura Conway Ireland 15 620 1.3× 201 0.6× 253 1.2× 165 1.2× 97 1.1× 37 849
Sergey Sanovich United States 7 661 1.4× 511 1.4× 240 1.1× 88 0.7× 164 1.9× 12 906
Денис Стукал Russia 8 723 1.5× 534 1.5× 247 1.1× 91 0.7× 213 2.4× 25 997
Aleksandra Urman Switzerland 14 439 0.9× 345 1.0× 179 0.8× 65 0.5× 77 0.9× 50 697
Josephine Lukito United States 15 598 1.2× 624 1.7× 209 1.0× 62 0.5× 206 2.4× 42 956
Alexandra Siegel United States 11 769 1.6× 616 1.7× 304 1.4× 67 0.5× 219 2.5× 20 1.1k
Samantha Bradshaw United States 10 373 0.8× 236 0.7× 142 0.7× 111 0.8× 101 1.2× 23 552

Countries citing papers authored by Samuel Woolley

Since Specialization
Citations

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

Fields of papers citing papers by Samuel Woolley

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Samuel Woolley

This figure shows the co-authorship network connecting the top 25 collaborators of Samuel Woolley. A scholar is included among the top collaborators of Samuel Woolley 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 Samuel Woolley. Samuel Woolley 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.
Woolley, Samuel, et al.. (2024). When politics trumps truth: Political concordance versus veracity as a determinant of believing, sharing, and recalling the news.. Journal of Experimental Psychology General. 153(10). 2524–2551. 1 indexed citations
2.
Woolley, Samuel. (2024). Propaganda digital: el poder de las/los influencers. 23(28). 15–40. 1 indexed citations
3.
Woolley, Samuel, et al.. (2024). Embodied Political Influencers: How U.S. Anti-Abortion Actors Co-Opt Narratives of Marginalization. Social Media + Society. 10(2). 2 indexed citations
4.
5.
Woolley, Samuel, et al.. (2024). Genocide, surveillance, and babies: “embodied propaganda” and the anti-abortion to conspiracy pipeline. Feminist Media Studies. 25(7). 1513–1530. 1 indexed citations
6.
Woolley, Samuel, et al.. (2023). How Disinformation on WhatsApp Went From Campaign Weapon to Governmental Propaganda in Brazil. Social Media + Society. 9(1). 21 indexed citations
7.
Woolley, Samuel, et al.. (2023). Addressing Hateful and Misleading Content in the Metaverse. 1(5). 7 indexed citations
8.
Riedl, Martin, Josephine Lukito, & Samuel Woolley. (2023). Political Influencers on Social Media: An Introduction. Social Media + Society. 9(2). 55 indexed citations breakdown →
9.
Woolley, Samuel, et al.. (2023). “On WhatsApp I say what I want”: Messaging apps, diaspora communities, and networked counterpublics in the United States. New Media & Society. 27(4). 2050–2067. 6 indexed citations
10.
Woolley, Samuel, et al.. (2023). Messaging Apps: A Rising Tool for Informational Autocrats. Political Research Quarterly. 77(1). 17–29. 5 indexed citations
11.
Riedl, Martin, et al.. (2023). How pro- and anti-abortion activists use encrypted messaging apps in post-Roe America. Big Data & Society. 10(2). 2 indexed citations
12.
Riedl, Martin, et al.. (2023). The role of geolocation data in U.S. political campaigning: How digital political strategists perceive it. Convergence The International Journal of Research into New Media Technologies. 29(6). 1624–1640. 2 indexed citations
13.
Guilbeault, Douglas, Samuel Woolley, & Joshua Becker. (2021). Probabilistic social learning improves the public’s judgments of news veracity. PLoS ONE. 16(3). e0247487–e0247487. 4 indexed citations
14.
Persily, Nathaniel, Andrew M. Guess, Pablo Barberá, et al.. (2020). Social Media and Democracy. Cambridge University Press eBooks. 125 indexed citations
15.
Howard, Philip N., Samuel Woolley, & Ryan Calo. (2018). Algorithms, bots, and political communication in the US 2016 election: The challenge of automated political communication for election law and administration. Journal of Information Technology & Politics. 15(2). 81–93. 185 indexed citations
16.
Woolley, Samuel & Philip N. Howard. (2018). Introduction. Oxford University Press eBooks. 2 indexed citations
17.
Woolley, Samuel & Douglas Guilbeault. (2018). United States. Oxford University Press eBooks. 3 indexed citations
18.
Woolley, Samuel & Philip N. Howard. (2016). Automation, Algorithms, and Politics| Political Communication, Computational Propaganda, and Autonomous Agents — Introduction. SHILAP Revista de lepidopterología. 10. 9. 55 indexed citations
19.
Woolley, Samuel & Philip N. Howard. (2016). Social media, revolution, and the rise of the political bot. 302–312. 5 indexed citations
20.
Woolley, Samuel. (2016). Automating power: Social bot interference in global politics. First Monday. 150 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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