Communication: Research Area — Prolific Citations Library

Discover 15 peer-reviewed studies in Communication (2022–2025). Explore research findings powered by Prolific's diverse participant panel.

This page lists 15 peer-reviewed papers in the research area of Communication in the Prolific Citations Library, a curated collection of research powered by high-quality human data from Prolific.

Papers (15 of 15)

Human detection of political speech deepfakes across transcripts, audio, and video

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
Comparing the persuasiveness of role-playing large language models and human experts on polarized US political issues

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
Engaging with (vs. avoiding) personalized advertising on social media

Authors: SMC Loureiro, L Hollebeek, RA Rather

Year: 2025

Published in: Journal of Marketing ..., 2025 - Taylor & Francis

Institution: Universitário de Lisboa

Research Area: Marketing Communications, Social Media, Behavioral Science

Discipline: Marketing, Behavioral Science

Personalized advertising on social media enhances brand engagement and alleviates privacy concerns, with privacy concerns having no significant effect on consumer-brand engagement.

Methods: Grounded in social exchange theory, the study utilized a quantitative survey to assess relationships between personalized advertising, information control, privacy concerns, advertising avoidance, and brand engagement.

Key Findings: The interplay between personalized advertising, consumer brand engagement, privacy concerns, information control, and advertising avoidance.

Citations: 17

Sample Size: 429
Impact of AI-Assisted Diagnosis on American Patients' Trust in and Intention to Seek Help From Health Care Professionals: Randomized, Web-Based Survey ...

Authors: C Chen, Z Cui

Year: 2025

Published in: Journal of Medical Internet Research, 2025 - jmir.org

Institution: Medical College of Wisconsin

Research Area: Trust in AI, AI-assisted diagnosis, Health communication, Healthcare human-AI interaction

Discipline: Digital Health, Human-Computer Interaction (HCI), Behavioral Science

Patients trust and are more likely to seek help from doctors explicitly avoiding AI-assisted diagnosis rather than those using extensive or moderate AI, highlighting a strong aversion to AI in healthcare settings.

Methods: A randomized, web-based 4-group survey experiment was conducted with controls for sociodemographic factors and analysis using regression, mediation, and moderation techniques.

Key Findings: Trust in and intention to seek medical help from health care professionals using AI-assisted diagnosis versus those avoiding AI, and the influence of demographic, social, and experiential factors.

DOI: https://doi.org/10.2196/66083

Citations: 4

Sample Size: 1762
Generative AI and Disinformation| Synthetic Diversity: Examining the Effects of Ethnic Targeting Using AI-Generated Political Ads

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
Sounding Trustworthy: AI-Generated Audio Outperforms Video and Images in Political Communication

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
Beyond Face Value: Visual and Auditory Signals in Human and Machine Trust Judgments

Authors: N Tyulina, Y Yu, TA Emmanouil, SI Levitan

Year: 2025

Published in: Proceedings of the 7th ACM ..., 2025 - dl.acm.org

Institution: University of Cambridge, University of Bath, University of Edinburgh, New York University

Research Area: Human-AI Interaction, Trust and Perception, Nonverbal Communication

Discipline: Applied Linguistics

Trust judgments are primarily influenced by auditory cues in both humans and multimodal models, though subtle differences in modality weighting exist between them.

Methods: Behavioral experiment with trust ratings of bimodal stimuli across four trust congruence conditions, combined with a multimodal model trained using HuBERT and ResNet-50 with late fusion, analyzed using Permutation Feature Importance (PFI).

Key Findings: The construction of trust from visual and auditory signals in both humans and multimodal models, focusing on modality dominance and feature weighting.

Sample Size: 150
Trust, personality, and belief as determinants of the organic reach of political disinformation on social media

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
Detecting Fallacies in Climate Misinformation: A Technocognitive Approach to Identifying Misleading Argumentation

Authors: F Zanartu, J Cook, M Wagner, J Garcia

Year: 2024

Published in: ArXiv

Institution: Monash University, University of Melbourne

Research Area: Artificial Intelligence, Computational Social Science, Misinformation Detection, Fallacy Analysis in Climate Communication.

Discipline: Artificial Intelligence, Computational Social Science

Citations: 6
A chorus of different tongues: Official corporate language fluency and informal influence in multinational teams

Authors: F Guzman, B Reiche

Year: 2024

Published in: Science Direct

Institution: IESE Business School, Lille Économie Management

Research Area: Organizational Behavior, Language and Communication in Multinational Teams, Informal Influence, Peer-Granted Status.

Discipline: Behavioral Sciences, Business, Economics, Organisational Psychology, Psychology
Cue to Trust? Investigating the Impact of Political Advertising Transparency Disclaimers on Citizen Trust Evaluations

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
Examining Human-AI Collaboration for Co-Writing Constructive Comments Online

Authors: FARHANA SHAHID, MAXIMILIAN DITTGEN

Year: 2024

Published in: ArXiv

Institution: Cornell University

Research Area: Human-AI Collaboration, Constructive Discourse, Online Communication, Human-Computer Interaction (HCI)

Discipline: Human-Computer Interaction (HCI), Artificial Intelligence
The role of affective and cognitive involvement in the mitigating effects of AI source cues on hostile media bias

Authors: Matthew J.A. Craig a, Mina Choi b

Year: 2023

Published in: Science Direct

Institution: Kent State University, Sejong University

Research Area: Media Studies, Social Psychology, Cognitive Bias, AI and Communication, AI Bias

Discipline: Social Science, Media Studies, Human-AI Interaction
Large language models are not zero-shot communicators

Authors: LE Ruis, A Khan, S Biderman, S Hooker, T Rocktäschel

Year: 2022

Published in: 2022 - openreview.net

Institution: MILA, University of Toronto, Stanford University, Hugging Face, Imperial College London

Research Area: Natural Language Processing, LLM, Communication

Discipline: Natural Language Processing

Citations: 52
Social media regulation, third-person effect, and public views: A comparative study of the United States, the United Kingdom, South Korea, and Mexico

Authors: M Chung, J Wihbey

Year: 2022

Published in: New Media & Society, 2024 - journals.sagepub.com

Research Area: Communication and Media Studies, Political Science, or International Relations (Comparative Studies)

Discipline: Social Sciences, Humanities

DOI: https://doi.org/10.1177/14614448221122996

Citations: 24