Hypothesis:
User-sourced ratings of articles and sources on a social media platform will be viewed as more trustworthy than external sources or AI-assisted ratings.
Proposal Outline:
Introduction
Impact of fake news on news credibility
- Tandoc et al, 2021
Digital populism and disinformation
- Prior, 2021
Hypothesis
Literature Review
Information Literacy
- Khan et al, 2019
User ratings of content posters
- Chen et al, 2011
Detecting and Resolving Social Media Rumors
- Zubiaga et al, 2018
Source Ratings to Combat Fake News on Social Media
- Kim et al, 2019
- Brandtzaeg et al, 2017
Rating Reliability in News Articles – AI Assistance
- Horne et al, 2019
- Savage, 2021
Social Norms in Fighting Social Media Fake News
- Gimpel et al, 2021
Methodology
- Group of social media users
- Review news articles and rate the trustworthiness of the article
- Present truth/fact ratings of articles
- Rate trustworthiness of the fact rating type and re-score trustworthiness of the article
Discussion
People believe what they want to believe
- Moravec et al, 2019
Weakness: Cognitive Bias
Really good hypothesis, but it needs to be a bit more specific. I think what you meant was: Social Media users will find user-sourced ratings of articles and sources more trustworthy than external sources or AI-assisted ratings.