Research

My research uses computational methods, novel digital trace data collection, and field experiments to study how people interact with information online.

January 6 arrests and media coverage do not remobilize conservatives on social media

Dahlke, R., & Pan, J.(2024). Proceedings of the National Academy of Sciences, 121(23), e2401239121.

The Private Life of QAnon: A Mixed Methods Investigation of Americans' Exposure to QAnon Content on the Web

Moore, R. C.*, Dahlke, R.*, Forberg, P. L., & Hancock, J. T.(2024). Proceedings of the ACM on Human-Computer Interaction, 8(CSCW2), 1-34.

* Co-first authors

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Quantifying the Systematic Bias in the Accessibility and Inaccessibility of Web Scraping Content from URL-Logged Web-Browsing Digital Trace Data

Dahlke, R., Kumar, D., Durumeric, Z., & Hancock, J. T.(2023). Social Science Computer Review.

Surviving or thriving political defeat on social media: a temporal analysis of how electoral loss exacerbates the gender gap in political expression

Dahlke, R., & Zhang, Y.(2024). Journal of Computer-Mediated Communication, 29(1), zmad051.

Battle for Inbox and Bucks: Comparing Email Fundraising Strategies of Donald Trump and Joe Biden in the 2020 US Presidential Election

Chen, B., Borah, P., Dahlke, R., & Lukito, J.(2024). Journal of Quantitative Description: Digital Media, 4.

Audio-as-Data Tools: Replicating Computational Data Processing

Lukito, J., Greenfield, J., Yang, Y., Dahlke, R., Brown, M. A., Lewis, R., & Chen, B.(2024). Media and Communication, 12.

The effect of online misinformation exposure on false election beliefs

Dahlke, R., & Hancock, J.(2022). OSF Preprints.