Social Media Research: Research Area — Prolific Citations Library

Discover 6 peer-reviewed studies in Social Media Research (2020–2025). Explore research findings powered by Prolific's diverse participant panel.

This page lists 6 peer-reviewed papers in the research area of Social Media Research in the Prolific Citations Library, a curated collection of research powered by high-quality human data from Prolific.

Papers (6 of 6)

Understanding the Role of Social Media Content in Inducing Anxiety: A Qualitative Study

Authors: A Meythaler

Year: 2025

Published in: 2025 - scholarspace.manoa.hawaii.edu

Institution: University of Potsdam, Weizenbaum Institute

Research Area: Social Media, Anxiety, Qualitative Research, Computational Social Science

Discipline: Psychological Science, Computational Social Science

The study identifies six categories of social media content—negative news, incivility, social comparison content, political content, misinformation, and depictions of dangerous behavior—as triggers for anxiety among users.

Methods: A qualitative study was conducted using interviews or focus groups with 249 social media users to explore the effects of different content types on anxiety.

Key Findings: The role of specific social media content categories in inducing feelings of anxiety.

DOI: https://doi.org/10.24251/HICSS.2025.334

Citations: 4

Sample Size: 249
Credtwi: Investigating Social Media Credibility with a Browser Plugin

Authors: J Li, E Huusko, NN Ahooie, M Kuutila

Year: 2025

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

Institution: University of Oulu

Research Area: Social Media Credibility, Human-Computer Interaction (HCI) in Social Media, Crowdsourcing Research

Discipline: Human-Computer Interaction (HCI)

Credtwi, a browser plugin for assessing tweet credibility, revealed that perceived Twitter credibility declines with use and author verification status heavily influences perceived credibility.

Methods: A browser plugin was used for crowdsourced credibility assessment through participant questionnaires during a week-long field study.

Key Findings: Perceptions of online tweet credibility, factors affecting tweet credibility (e.g., verification status, bio), variations in credibility assessments across genders.

DOI: https://doi.org/10.1080/10447318.2025.2480885

Citations: 2

Sample Size: 150
Leveraging Social Media and Crowdsourcing to Recruit and Retain Military Veterans With Posttraumatic Stress Disorder or Experience of Harmful Gambling ...

Authors: C Heath, JM Williams, D Leightley

Year: 2025

Published in: JMIR mHealth and ..., 2025 - mhealth.jmir.org

Institution: Swansea University, King's College London, Reykjavík University

Research Area: mHealth Interventions, Crowdsourcing, Social Media Recruitment, Mental Health Research (PTSD, Harmful Gambling)

Discipline: Digital Health, Mental Health Research

Social media and online platforms like Facebook and Prolific were effective but faced challenges in recruiting and retaining military veterans with PTSD or harmful gambling for a digital mHealth intervention pilot study.

Methods: Multiple recruitment strategies were used, including paid and unpaid advertisements on Facebook, Prolific, direct mailing, event hosting with veterans' charities, snowball sampling, and incentives.

Key Findings: The effectiveness of different recruitment strategies for enrolling military veterans with PTSD or harmful gambling into a digital intervention study.

Sample Size: 79
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
Generative AI in crowdwork for web and social media research: A survey of workers at three platforms

Authors: E Christoforou, G Demartini

Year: 2024

Published in: Proceedings of the ..., 2024 - ojs.aaai.org

Institution: University of Sheffield, University of Southampton

Research Area: Crowdsourcing, Generative AI, Web and Social Media Research, LLM

Discipline: Artificial Intelligence

DOI: https://doi.org/10.1609/icwsm.v18i1.31452

Citations: 10
How does information spread? An exploratory study of true and fake news

Authors: S Suntwal, S Brown, M Patton

Year: 2020

Published in: 2020 - scholarspace.manoa.hawaii.edu

Research Area: Misinformation, Social Media Research, Content Analysis

Discipline: Communication, Social Science

Citations: 37