Author

Michael Heseltine

Observed names: Heseltine, Michael, Heseltine, Michael James, MICHAEL HESELTINE

Institutions: University of Oxford, University of Amsterdam

Observed institutions: Duke University, American University, University of Oxford, University of Amsterdam

ORCID: 0000-0002-2943-4414

Observed ORCID: 0000-0002-2943-4414

OpenAlex ID: A5091361471

Large language models as a substitute for human experts in annotating political text

2024 · Michael Heseltine, Bernhard Clemm von Hohenberg · Research & Politics · 104

Dynamics of Polarizing Rhetoric in Congressional Tweets

2022 · Andrew O. Ballard, Ryan DeTamble, et al. · Legislative Studies Quarterly · 83

Be Careful What You Wish For: The Impacts of President Trump’s Midterm Endorsements

2020 · Andrew O. Ballard, Hans J. G. Hassell, et al. · Legislative Studies Quarterly · 45

Online Incivility in the 2020 Congressional Elections

2022 · Michael Heseltine, Spencer Dorsey · Political Research Quarterly · 37

Incivility in Congressional Tweets

2022 · Andrew Ballard, Ryan DeTamble, et al. · American Politics Research · 25

Incentivizing news consumption on social media platforms using large language models and realistic bot accounts

2024 · Hadi Askari, Anshuman Chhabra, et al. · PNAS Nexus · 14

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Asymmetric Polarization in Online Media Engagement in the United States Congress

2023 · Michael Heseltine · The International Journal of Press/Politics · 13

Polarizing Online Elite Rhetoric at the Federal, State, and Local Level During the COVID-19 Pandemic

2023 · Michael Heseltine · American Politics Research · 10

Effects of Over-Time Exposure to Partisan Media and Coverage of Polarization on Perceived Polarization

2024 · Michael Heseltine, Bernhard Clemm von Hohenberg, et al. · Political Communication · 8

Assessing Trump's presidential endorsements while in and out of office (2018–2022)

2023 · Michael Heseltine · Electoral Studies · 7

Partisan temporal selective news avoidance: Evidence from online trace data

2025 · Michael Heseltine, Hennes Barnehl, et al. · American Journal of Political Science · 5

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Believing What Politicians Communicate: Ideological Presentation of Self and Voters’ Perceptions of Politician Ideology

2025 · Hans J. G. Hassell, Michael Heseltine, et al. · British Journal of Political Science · 3

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AI and Research Methods

2026 · Christopher Barrie, Lisa Argyle, et al. · 1

Preregistration: Conversational AI and Political Information Seeking During the 2026 U.S. Midterm Elections

2026 · Christopher Barrie, Michelle Schimmel, et al. · Open Science Framework

Measuring Partisanship and Representation in Online Congressional Communications

2026 · MICHAEL KISTNER, MICHAEL HESELTINE, et al. · American Political Science Review

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AI Summaries, Attention Allocation, and Political Engagement in Social Media Feeds - UK

2026 · Michael Heseltine · Open Science Framework

Political Sorting Can Drive AI Models Apart Through User Feedback

2026 · Törnberg, Petter, Heseltine, Michael, et al. · arXiv (Cornell University)

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Political identity drives choice of large language models—even when accuracy is incentivized

2026 · Michael Heseltine, Christopher A. Bail, et al.

Next Reply Prediction X (NRP-X) Dataset: Linguistic Discrepancies in Naively Generated Content

2026 · Simon Münker, Nils Schwager, et al. · Language Resources and Evaluation Conference (LREC)

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TWON social media: a scalable MERN-Stack platform for experimental research in online social networks

2026 · Abdul Sittar, Michael Heseltine, et al. · Research Square

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AI summaries in social media improve dialogue but reduce engagement

2026 · Michael Heseltine, Christopher A. Bail, et al.

AI Summaries, Attention Allocation, and Political Engagement in Social Media Feeds

2026 · Michael Heseltine, Christopher Barrie · OSF Preprints (OSF Preprints)

Next Reply Prediction X Dataset: Linguistic Discrepancies in Naively Generated Content

2026 · Münker, Simon, Schwager, Nils, et al. · arXiv (Cornell University)

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Replication Data for: Measuring Partisanship and Representation in Online Congressional Communications

2026 · Kistner, Michael, Heseltine, Michael, et al. · Harvard Dataverse

AI Summaries, Attention Allocation, and Political Engagement in Social Media Feeds

2026 · Heseltine, Michael, Barrie, Christopher · Open Science Framework

Works count: 48

Citation count: 356

H-index: 8

I10-index: 8