Trust, personality, and belief as determinants of the organic reach of political disinformation on social media
Abstract
False political information spreads far and fast across social media, with negative consequences for society. Individual users play a key role in sharing such material, extending its range through the phenomenon of organic reach. An online experiment tested the hypotheses that higher trust in the source of false information, and lower agreeableness of the person encountering it, would predict their likelihood of extending its reach. One hundred and seventy-two participants saw real examples of disinformation stories that had been posted to social media and rated their likelihood of sharing and interacting with it in other ways. Neither trust in the source nor agreeableness influenced organic reach. However, people lower in conscientiousness rated themselves as more likely to extend its reach, as did people who believed the stories more likely to be true.
Study specs
An online experiment exposed participants to real disinformation stories and asked them to rate their likelihood of sharing and interacting with the content.
- Authors
- T Buchanan
- Institution
- University of Westminster
- Discipline
- Computational Social Science
- Sample Size
- N=172
- Study Type
- Experimental Study
- Year
- 2024
- Human Data Platform
- Prolific
- Source
- View Source Google Scholar
Measured Outcomes
The influence of trust in the source, agreeableness, conscientiousness, and belief in the truth of disinformation on likelihood of sharing (organic reach).
Peer Review & Critical Discussion
Potential Selection Bias in 2023 Cohort
The participant pool shows a concerning overrepresentation of users from high-income demographics. Looking at Table 3, we can see that 78% of respondents had annual incomes above $75k, which significantly limits the generalizability of these findings to broader populations.
Non-naive Participants Issue
I've noticed a methodological concern regarding participant naivety. Given that Prolific users often complete multiple studies, there's a real risk that participants had prior exposure to similar experimental paradigms, which could confound the results.
RLHF Applicability to This Study Design
The implications for RLHF training pipelines are understated. If we accept the authors' conclusions about preference stability, this has direct consequences for how we should structure reward model training. The temporal decay effect described in Section 4.2 is particularly relevant.
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