Discover 6 peer-reviewed studies in Political Communication (2024–2025). Explore research findings powered by Prolific's diverse participant panel.
This page lists 6 peer-reviewed papers in the research area of Political Communication in the Prolific Citations Library, a curated collection of research powered by high-quality human data from Prolific.
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Authors: M Groh, A Sankaranarayanan, N Singh, DY Kim
Year: 2025
Published in: Nature ..., 2024 - nature.com
Institution: Northwestern University, Massachusetts Institute of Technology
Research Area: Deepfakes, Media Forensics, Human Perception of AI-Generated Content, Political Communication
Discipline: Computational Social Science
Humans are better at detecting deepfake political speeches using audio-visual cues than relying on text alone; state-of-the-art text-to-speech audio makes deepfakes harder to discern.
Methods: Five pre-registered randomized experiments with varied base rates of misinformation, audio sources, question framings, and media modalities were conducted.
Key Findings: Human accuracy in discerning real political speeches from deepfakes across media formats and contextual variables.
DOI: https://doi.org/10.1038/s41467-024-51998-z
Citations: 63
Sample Size: 2215
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Authors: K Hackenburg, L Ibrahim, BM Tappin, M Tsakiris
Year: 2025
Published in: AI & SOCIETY, 2025 - Springer
Institution: Oxford Internet Institute, University of Oxford
Research Area: Political Communication and Persuasion, LLM
Discipline: Political Science, Artificial Intelligence
GPT-4's ability to generate persuasive messages rivaled human experts on polarized US political issues, suggesting AI tools may have significant implications for political campaigns and democracy.
Methods: Pre-registered experiment where GPT-4 generated partisan role-playing persuasive messages, which were compared to those from human persuasion experts.
Key Findings: Persuasive impact of GPT-4-generated messages versus human expert messages on U.S. political issues.
Citations: 35
Sample Size: 4955
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Authors: M Wack, DA Parry
Year: 2025
Published in: International Journal of Communication, 2025 - ijoc.org
Institution: University of Zurich
Research Area: Generative AI, Disinformation, Political Communication, Ethnic Targeting
Discipline: Communication, Artificial Intelligence, Political Science
The study finds that AI-generated political ads with coethnic avatars are more effective at mobilizing voter support and reducing skepticism, even when labeled as synthetic, with AI literacy playing a key role in identifying such content.
Methods: Survey experiment targeting voter responses to AI-generated political ads with varied presenter ethnicities, including analysis of AI literacy versus digital literacy.
Key Findings: Effectiveness of coethnic versus out-group ethnic AI-generated avatars in mobilizing voter support and the role of AI literacy in detecting synthetic content.
Citations: 1
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Authors: H Shakeeb, C Conrad
Year: 2025
Published in: 2025 - aisel.aisnet.org
Institution: Dalhousie University
Research Area: AI, Political Communication, Media Trustworthiness, Cognitive Science, Autonomous Applications
Discipline: Artificial Intelligence, Cognitive Science
AI-generated audio in political communication is perceived as more trustworthy than image or video formats, but lower realism leads to skepticism.
Methods: An online experiment with participants assessing AI-generated political content in audio, video, and image formats; data analyzed using linear mixed effects analysis and NLP.
Key Findings: Impact of AI-generated media formats on trust and willingness to follow political recommendations, considering realism levels.
Citations: 1
Sample Size: 150
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Authors: T Buchanan
Year: 2024
Published in: The Social Science Journal, 2025 - Taylor & Francis
Institution: University of Westminster
Research Area: Social Media, Political Communication, Misinformation Research
Discipline: Computational Social Science
The organic reach of political disinformation on social media is driven more by lower conscientiousness and belief in the stories' truth than by trust in the source or agreeableness.
Methods: An online experiment exposed participants to real disinformation stories and asked them to rate their likelihood of sharing and interacting with the content.
Key Findings: The influence of trust in the source, agreeableness, conscientiousness, and belief in the truth of disinformation on likelihood of sharing (organic reach).
Citations: 30
Sample Size: 172
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Authors: HC Gordon, T Stafford, K Dommett
Year: 2024
Published in: ... of the Annual Meeting of the ..., 2024 - escholarship.org
Institution: University of California, Irvine, University of New York, Buffalo, University of Bath
Research Area: Political Advertising, Trust, Political Communication, Transparency
Discipline: Political Science, Communication