Tucker, Joshua A.

Liberal and conservative values: what we can learn from congressional tweets

Jones, K. L., Noorbaloochi, S., Jost, J. T., Bonneau, R., Nagler, J., & Tucker, J. A. (2018) · Political Psychology

Electoral Systems and Political ParticipationComputational and Text Analysis Methods

Cited by 57

“Learning from Terrorism Markets.”

Meirowitz, A., & Tucker, J. A. (2004) · Perspectives on Politics

Terrorism, Counterterrorism, and Political ViolenceSports Analytics and Performance

Cited by 27

What’s Not to Like? Facebook Page Likes Reveal Limited Polarization in Lifestyle Preferences

Praet, S., Guess, A. M., Tucker, J. A., Bonneau, R., & Nagler, J. (2022) · Political Communication

Social Media and PoliticsElectoral Systems and Political Participation

Cited by 22

Echo chambers revisited: The (overwhelming) sharing of in-group politicians, pundits and media on Twitter

Wojcieszak, M., Casas, A., Yu, X., Nagler, J., & Tucker, J. A. (2021)

Social Media and PoliticsMisinformation and Its Impacts

Cited by 20

Evaluating expectations from social and behavioral science about COVID-19 and lessons for the next pandemic

Ruggeri, K., Stock, F., Haslam, S. A., Capraro, V., Boggio, P., Ellemers, N., Cichocka, A., Douglas, K., Rand, D. G., Cikara, M., et al. (2022)

Communication and COVID-19 ImpactCOVID-19 Prevention and Impact

Cited by 19

Social Media Data Reveal Patterns of Policy Engagement in State Legislatures

Casas, A., Payson, J., Nagler, J., Bonneau, R., & Tucker, J. A. (2020) · SSRN Electronic Journal

Computational and Text Analysis MethodsSocial Media and Politics

Cited by 4

Computational Social Science for Policy and Quality of Democracy: Public Opinion, Hate Speech, Misinformation, and Foreign Influence Campaigns

Tucker, J. A. (2023) · Handbook of Computational Social Science for Policy

Misinformation and Its ImpactsSocial Media and Politics

Cited by 3