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Social Influence and Political CommunicationCommunication Technology and New MediaMass CommunicationSocial Mediacs.SIScience and Technology StudiesComparative Politicscs.CYmisinformationAmerican Politics

On Valency

published · living versions
W_nybjyg33·v1 · currentpublished

Preprints & journals

20 papers in the corpus · 2021–2026
Learning to Be Political: Audience Reinforcement and the Disproportionate Political Role of Smaller Social Media Influencersrykgf_v1 · Christian Pipal, Morgan Wack, Eva-Maria Vogel et al.2026 · 0 citationsSocArXiv
Biased Provision: Cross-Provider Divergence in How LLMs and Search Engines Supply Evidence on Contested Political Questions5g2tw_v1 · Morgan Wack, Eva-Maria Vogel, Christian Pipal2026 · 0 citationsSocArXiv
Nice Try, ChatGPT: AI Accusations Target Opponents and Divert Political Debates36mys_v1 · Morgan Wack, Christian Pipal, Eva-Maria Vogel2026 · 0 citationsSocArXiv
Who Sees Politics in Sports? Norm Endorsement and Partisan Judgments from the 2026 World Cupgtjp4_v1 · Morgan Wack, Daniel Vogler, Manuel Arrigo et al.2026 · 0 citationsSocArXiv
Assessing How Fact-Checks Influence Accuracy and Consensus Judgments: Evidence From the Olympics.42357955 · Wack, Morgan, Allan, Jinan, Boatwright, Brandon et al.2026 · 1 citationRisk analysis : an official publication of the Society for Risk Analysis. 2026;46(7):e70293
Football Empires: Simulating the Effects of Colonialism on the 2026 World Cupawy9x_v1 · Lucas Paulo da Silva, Thomas Schincariol, Morgan Wack2026 · 1 citationSocArXiv
Intuitions about content moderation are misaligned with effective practices for reducing conspiracy beliefs.42215628 · Jalbert, Madeline, Wack, Morgan2026 · 0 citationsCommunications psychology. 2026;4(1)
Researchers waste 80% of LLM annotation costs by classifying one text at a time2604.03684v1 · Christian Pipal, Eva-Maria Vogel, Morgan Wack et al.2026 · 0 citationsarXiv
Researchers waste 80% of LLM annotation costs by classifying one text at a timebxtsf_v1 · Christian Pipal, Eva-Maria Vogel, Morgan Wack et al.2026 · 0 citationsSocArXiv
Fact-Checks Can Help Inoculate LLMs Against Disinformationnrs5z_v1 · Morgan Wack, Eva-Maria Vogel, Christian Pipal et al.2026 · 0 citationsSocArXiv
AI Can Correct but Not Convince: Epistemic Authority and Emotionalized Communication in TikTok Health Misinformation Correctionsvzxd6_v1 · Janine Blessing, Morgan Wack, Daniela Mahl2026 · 0 citationsSocArXiv
A collaborative digital field study shows that community-led interventions can minimize engagement with online falsehoodssek9h_v1 · Morgan Wack2025 · 0 citationsSocArXiv
Generative propaganda: Evidence of AI's impact from a state-backed disinformation campaign.40171239 · Wack, Morgan, Ehrett, Carl, Linvill, Darren et al.2025 · 25 citationsPNAS nexus. 2025;4(4):pgaf083
Social truth queries: Development of a new user-driven intervention for countering online misinformations2rvp_v1 · Madeline Jalbert, Morgan Wack, Pragya Arya et al.2023 · 9 citationsPsyArXiv
Followback Clusters, Satellite Audiences, and Bridge Nodes: Coengagement Networks for the 2020 US Election.38655460 · Beers, Andrew, Schafer, Joseph S, Kennedy, Ian et al.2024 · 12 citationsProceedings of the ... International AAAI Conference on Weblogs and Social Media. International AAAI Conference on Weblogs and Social Media. 2023;17:59-71
Combining interventions to reduce the spread of viral misinformation.35739250 · Bak-Coleman, Joseph B, Kennedy, Ian, Wack, Morgan et al.2022 · 159 citationsNature human behaviour. 2022;6(10):1372-1380
Repeat Spreaders and Election Delegitimization: A Comprehensive Dataset of Misinformation Tweets from the 2020 U.S. Electionpgv2x_v1 · Ian Kennedy, Morgan Wack, Andrew Beers et al.2022 · 16 citationsSocArXiv
Career total: 53 works. 20 are in this corpus.

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