Examining how to mitigate the implications of political fake news on social media during U.S. presidential elections

This paper explores how political fake news on social media can be mitigated to reduce its effects on societal voting behavior during presidential elections. From the previous literature, which discusses the prevalence and impact of fake news on voters, this paper aims to address the lack of research on effective ways to combat political fake news on social media. Through a quantitative study, this research tested the effectiveness of a warning sign in helping participants detect misinformation. The results found that the warning sign was effective; however, due to a small sample size and other limitations, there is a need for future researchers to test this. The research calls to solve problems prevalent on social media around the world.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-09-30
DOI
https://doi.org/10.5281/zenodo.17773504
Primary Topic
Misinformation and Its Impacts
Type
article
Field-Weighted Citation Impact
0.00
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article

Examining how to mitigate the implications of political fake news on social media during U.S. presidential elections

Zenodo (CERN European Organization for Nuclear Research)
Misinformation and Its Impacts
article

Examining how to mitigate the implications of political fake news on social media during U.S. presidential elections

article en

Abstract

This paper explores how political fake news on social media can be mitigated to reduce its effects on societal voting behavior during presidential elections. From the previous literature, which discusses the prevalence and impact of fake news on voters, this paper aims to address the lack of research on effective ways to combat political fake news on social media. Through a quantitative study, this research tested the effectiveness of a warning sign in helping participants detect misinformation. The results found that the warning sign was effective; however, due to a small sample size and other limitations, there is a need for future researchers to test this. The research calls to solve problems prevalent on social media around the world.

Zenodo (CERN European Organization for Nuclear Research)
Danville Community College (US)
Openalex Percentile: Top 31%
Misinformation and Its Impacts
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