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Sylvia Chan-Olmsted

Biographic Data

ID292053
NAMESylvia Chan-Olmsted
GIVEN NAMESSylvia
FAMILY NAMEChan-Olmsted
SIGNATURECHAN-OLMSTED S
VERIFIEDNo
TOTAL WORKS4
TOTAL CITATIONS6
AUTHOR COUNT4
EDITOR COUNT0
FIRST PUBLICATION YEAR2018
LATEST PUBLICATION YEAR2024
H-INDEX1
  • Deep learning framework with multi-perspective social behaviors for vaccine hesitation

    Open Access•Raed Alharbi, Sylvia Chan-Olmsted et al.•ARTICLE•Social Network Analysis and Mining•2024

  • Misinformation on Instagram: The Impact of Trusted Endorsements on Message Credibility

    Open Access•Paul Mena, Danielle Barbe et al.•ARTICLE•Social Media + Society•2020•Cited by: 6•References: 34

    This research explores how social validation, measured through trusted endorsements and bandwagon heuristics, influence the credibility of misinformation on Instagram. Using experimental design, this study found that trusted endorsements (i.e., the liking of content by a trustworthy or reputable source) significantly impacted the credibility of misleading content on Instagram. Perceived message credibility was greater when a fabricated post was e…

  • Making Media: Production, Practices, and Professions

    Mirjam ca /21 Jh Prenger, Jennifer Holt et al.•BOOK•Making Media•2019

  • Factors affecting YouTube influencer marketing credibility: A heuristic-systematic model

    Min Xiao, Rang Wang et al.•ARTICLE•Journal of Media Business Studies•2018

    The rise of influencer marketing makes YouTube an ideal media platform to implement such marketing strategies. Many scholars consider the success of YouTube influencer marketing as a result of high consumer perception of information credibility. This study employs heuristic-systematic model to investigate how informational cues influence credibility evaluations of information posted by YouTube influencers. An online survey was conducted to invest…

  • Misinformation on Instagram: The Impact of Trusted Endorsements on Message Credibility

    Open Access•Paul Mena, Danielle Barbe et al.•ARTICLE•Social Media + Society•2020•Cited by: 6•References: 34

    This research explores how social validation, measured through trusted endorsements and bandwagon heuristics, influence the credibility of misinformation on Instagram. Using experimental design, this study found that trusted endorsements (i.e., the liking of content by a trustworthy or reputable source) significantly impacted the credibility of misleading content on Instagram. Perceived message credibility was greater when a fabricated post was e…

  • Factors affecting YouTube influencer marketing credibility: A heuristic-systematic model

    Min Xiao, Rang Wang et al.•ARTICLE•Journal of Media Business Studies•2018

    The rise of influencer marketing makes YouTube an ideal media platform to implement such marketing strategies. Many scholars consider the success of YouTube influencer marketing as a result of high consumer perception of information credibility. This study employs heuristic-systematic model to investigate how informational cues influence credibility evaluations of information posted by YouTube influencers. An online survey was conducted to invest…

  • Making Media: Production, Practices, and Professions

    Mirjam ca /21 Jh Prenger, Jennifer Holt et al.•BOOK•Making Media•2019

  • Misinformation on Instagram: The Impact of Trusted Endorsements on Message Credibility

    Open Access•Paul Mena, Danielle Barbe et al.•ARTICLE•Social Media + Society•2020•Cited by: 6•References: 34

    This research explores how social validation, measured through trusted endorsements and bandwagon heuristics, influence the credibility of misinformation on Instagram. Using experimental design, this study found that trusted endorsements (i.e., the liking of content by a trustworthy or reputable source) significantly impacted the credibility of misleading content on Instagram. Perceived message credibility was greater when a fabricated post was e…

  • Deep learning framework with multi-perspective social behaviors for vaccine hesitation

    Open Access•Raed Alharbi, Sylvia Chan-Olmsted et al.•ARTICLE•Social Network Analysis and Mining•2024

Computer Science (4 works) · Advertising (3 works) · Business (3 works) · Political science (3 works) · Psychology (3 works) · Social media (3 works) · Credibility (2 works) · Misinformation and Its Impacts (2 works) · Social Media and Politics (2 works) · Source credibility (2 works)

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