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Examining the Perceptions of Fake News, Verification, and Notices on Twitter.

Record Type:	Language materials, manuscript : Monograph/item
Title/Author:	Examining the Perceptions of Fake News, Verification, and Notices on Twitter./
Author:	Gwynn, Brendan Patrick.
Description:	1 online resource (98 pages)
Notes:	Source: Masters Abstracts International, Volume: 84-02.
Contained By:	Masters Abstracts International84-02.
Subject:	Journalism. -
Online resource:	click for full text (PQDT)
ISBN:	9798841529668

Examining the Perceptions of Fake News, Verification, and Notices on Twitter.
Gwynn, Brendan Patrick.

Examining the Perceptions of Fake News, Verification, and Notices on Twitter. - 1 online resource (98 pages)

Source: Masters Abstracts International, Volume: 84-02.

Thesis (M.A.)--Brigham Young University, 2022.

Includes bibliographical references

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.

Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2024

Mode of access: World Wide Web

ISBN: 9798841529668Subjects--Topical Terms:

659797
Journalism.
Index Terms--Genre/Form:

554714
Electronic books.

Examining the Perceptions of Fake News, Verification, and Notices on Twitter.
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520 $a 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.
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