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Computers in Human Behavior
Article . 2014 . Peer-reviewed
License: Elsevier TDM
Data sources: Crossref
DBLP
Article . 2014
Data sources: DBLP
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Social media self-efficacy and information evaluation online

Authors: Kristin Page Hocevar; Andrew J. Flanagin; Miriam J. Metzger;

Social media self-efficacy and information evaluation online

Abstract

We introduce the concept of social media self-efficacy (SMSE).We examine this concept using survey data (N=3568) of Internet users.Users with higher SMSE find online social information to be more trustworthy.They also use others' opinions and social media when evaluating information. This study introduces the concept of social media self-efficacy, or a person's perceived ability to reach desired outcomes in the social media environment, and examines the relationship between social media self-efficacy and how people evaluate information found online. Results of a survey of a representative sample of adult Internet users in the United States (N=3568) indicate that users with higher social media self-efficacy find information shared via social media to be more trustworthy than do those lower in social media self-efficacy. These self-efficacious social media users also rely more both on the opinions of others and on social media specifically when evaluating or verifying the information they find online, suggesting that they may be more prone to seek out and be influenced by input from others. Practical and theoretical implications of these findings are explored.

Country
United States
Related Organizations
Keywords

Internet, Credibility, Applied and developmental psychology, Human-Centred Computing, Basic Behavioral and Social Science, Education, Social media, Information and Computing Sciences, Behavioral and Social Science, Human-centred computing, Psychology, Cognitive Sciences, Self-efficacy, Information evaluation, Cognitive and computational psychology, Information Systems

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    179
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 1%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
179
Top 1%
Top 10%
Top 10%
Green
bronze