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Title: University Community Members’ Perceptions of Labels for Online Media
Fake news is prevalent in society. A variety of methods have been used in an attempt to mitigate the spread of misinformation and fake news ranging from using machine learning to detect fake news to paying fact checkers to manually fact check media to ensure its accuracy. In this paper, three studies were conducted at two universities with different regional demographic characteristics to gain a better understanding of respondents’ perception of online media labeling techniques. The first study deals with what fields should appear on a media label. The second study looks into what types of informative labels respondents would use. The third focuses on blocking type labels. Participants’ perceptions, preferences, and results are analyzed by their demographic characteristics.  more » « less
Award ID(s):
1757659
PAR ID:
10301095
Author(s) / Creator(s):
; ; ; ; ;
Date Published:
Journal Name:
Future Internet
Volume:
13
Issue:
11
ISSN:
1999-5903
Page Range / eLocation ID:
281
Format(s):
Medium: X
Sponsoring Org:
National Science Foundation
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