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Fake News on Social Media: A Multi-m...

Moravec, Patricia L.

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Fake News on Social Media: A Multi-method Analysis of Consumption, Interventions, and Perceptions of Information Credibility on Social Media.

Record Type:	Electronic resources : Monograph/item
Title/Author:	Fake News on Social Media: A Multi-method Analysis of Consumption, Interventions, and Perceptions of Information Credibility on Social Media./
Author:	Moravec, Patricia L.
Published:	Ann Arbor : ProQuest Dissertations & Theses, : 2019,
Description:	164 p.
Notes:	Source: Dissertations Abstracts International, Volume: 81-02, Section: A.
Contained By:	Dissertations Abstracts International81-02A.
Subject:	Information technology. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=13895269
ISBN:	9781085740821

Fake News on Social Media: A Multi-method Analysis of Consumption, Interventions, and Perceptions of Information Credibility on Social Media.
Moravec, Patricia L.

Fake News on Social Media: A Multi-method Analysis of Consumption, Interventions, and Perceptions of Information Credibility on Social Media. - Ann Arbor : ProQuest Dissertations & Theses, 2019 - 164 p.

Source: Dissertations Abstracts International, Volume: 81-02, Section: A.

Thesis (Ph.D.)--Indiana University, 2019.

This item must not be sold to any third party vendors.

The purpose of this dissertation is to understand the perception of fake news on social media and ways to combat the rapid dissemination of fake news. Motivated by the dramatic increase in fake news on social media and the confusion of social media users, this work seeks to understand whether users can detect fake news, how technology can help, and how well interventions work during realistic social media use. The context of study is social media, as the hedonic mindset of users on social media causes them to be less likely to think critically and more likely to accept information that aligns with their beliefs. These works are grounded in theories of confirmation bias and dual process cognition. The first essay (a lab experiment using electroencephalography (EEG)) finds that users are unable to detect fake news and the warning flag designed by Facebook was not effective. The findings show that users in a hedonic mindset primarily think when considering information that aligns with their beliefs, while ignoring that information that does not align. The second essay (an online experiment) finds that a fake news flag designed based on theory more strongly influences user beliefs than the prior flag. The last essay uses a quasi-field experiment that tests how well binary source ratings work during guided social media use using adults in a lab setting. This study finds that binary source ratings do not influence actions that users take on social media. Introducing source ratings into a platform may increase users' trust in the platform, but it does not change user trust toward news on the platform. These three essays use three different methods to better understand interventions for fake news.

ISBN: 9781085740821Subjects--Topical Terms:

532993
Information technology.

Fake News on Social Media: A Multi-method Analysis of Consumption, Interventions, and Perceptions of Information Credibility on Social Media.
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520 $a The purpose of this dissertation is to understand the perception of fake news on social media and ways to combat the rapid dissemination of fake news. Motivated by the dramatic increase in fake news on social media and the confusion of social media users, this work seeks to understand whether users can detect fake news, how technology can help, and how well interventions work during realistic social media use. The context of study is social media, as the hedonic mindset of users on social media causes them to be less likely to think critically and more likely to accept information that aligns with their beliefs. These works are grounded in theories of confirmation bias and dual process cognition. The first essay (a lab experiment using electroencephalography (EEG)) finds that users are unable to detect fake news and the warning flag designed by Facebook was not effective. The findings show that users in a hedonic mindset primarily think when considering information that aligns with their beliefs, while ignoring that information that does not align. The second essay (an online experiment) finds that a fake news flag designed based on theory more strongly influences user beliefs than the prior flag. The last essay uses a quasi-field experiment that tests how well binary source ratings work during guided social media use using adults in a lab setting. This study finds that binary source ratings do not influence actions that users take on social media. Introducing source ratings into a platform may increase users' trust in the platform, but it does not change user trust toward news on the platform. These three essays use three different methods to better understand interventions for fake news.
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