The rise of social media platforms has had a significant impact on the conventional model of gatekeeping. With increased access to information--as well as the ability to contribute to the public discourse--individuals no longer need to rely on the mass media for news. These realities have led to increased conversations surrounding credibility in the digital age. Although not a new concept, fake news has become increasingly common in recent years. The web--particularly social media outlets, like Twitter--have enhanced the spread of misinformation. To combat this, social media platforms have introduced gatekeeping features like verification marks and warning labels. However, questions remain regarding the credibility and effectiveness of these features. Furthermore, little information exists regarding the perceptions of these features. For this study, the researcher examined the perceptions of fake news, verification, and Notices (i.e., warning labels) as they relate to Twitter. These perceptions were captured through a survey that was distributed to Twitter users through MTurk. Results were examined generally as well as in the light of political orientation, ranging from very liberal to very conservative on a 4-point scale. Within the scope and limitations of this study, results indicate that the majority of Twitter users believe that fake news on the platform is a major problem. Additionally, results show that there is no significant difference between the effectiveness of verification and the effectiveness of Notices in slowing the spread of fake news, and neither feature is perceived as strongly credible or effective.
| Identifer | oai:union.ndltd.org:BGMYU2/oai:scholarsarchive.byu.edu:etd-10451 |
| Date | 31 March 2022 |
| Creators | Gwynn, Brendan Patrick |
| Publisher | BYU ScholarsArchive |
| Source Sets | Brigham Young University |
| Detected Language | English |
| Type | text |
| Format | application/pdf |
| Source | Theses and Dissertations |
| Rights | https://lib.byu.edu/about/copyright/ |
Page generated in 0.0021 seconds