On the credibility perception of news on Twitter: Readers, topics and features

Shariff, Shafiza Mohd; Zhang, Xiuzhen; Sanderson, Mark

doi:10.1016/j.chb.2017.06.026

Cited by 49Misinformation and Its ImpactsJournalism and Media StudiesSpam and Phishing Detection

On the credibility perception of news on Twitter: Readers, topics and features

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Shariff, Shafiza Mohd, Zhang, Xiuzhen, Sanderson, Mark·2017·Computers in Human Behavior

DOI 10.1016/j.chb.2017.06.026

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Geo-location is an antecedent of trust in social media platforms, indicating that cultural differences play a role in influencing trust in social media.
“Three studies found geo-location to be an antecedent of trust in social media platforms [66,79,95], indicating that cultural diferences play a role in infuencing trust in social media.”
From What Do We Mean When We Talk about Trust in Social Media? A Systematic Review (2023) · cites this paper as [95]
As education increased, the perceived credibility of Tweets decreased.
“One study examined the education levels of participants as a potential trust antecedent [95] and found that as education increased, the perceived credibility of Tweets decreased.”
From What Do We Mean When We Talk about Trust in Social Media? A Systematic Review (2023) · cites this paper as [95]
Gender was not a significant antecedent of trust in information, trust in online social media groups, or trust in social media platforms.
“In general, our results show that gender was not a signifcant antecedent of trust in information [95,122], trust in online social media groups [69], nor trust in social media platforms [27].”
From What Do We Mean When We Talk about Trust in Social Media? A Systematic Review (2023) · cites this paper as [95]

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What Do We Mean When We Talk about Trust in Social Media? A Systematic Review
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Authors: Shariff, S. M., Zhang, X., & Sanderson, M.
Affiliations: University of Kuala Lumpur (MY)
RMIT University (AU)
Corresponding author: Shariff, Shafiza Mohd
ORCID: Shariff, Shafiza Mohd
Zhang, Xiuzhen
Sanderson, Mark
Venue: Computers in Human Behavior
Publisher: Elsevier BV
Published: 2017-10
Volume: 75
Pages: 785-796
ISSN: 0747-5632 (ISSN-L)
DOI: 10.1016/j.chb.2017.06.026
OpenAlex: W2710649163
Cited by: 49
References: 71
Citations by year: 2026: 3 · 2025: 1 · 2024: 3 · 2023: 4 · 2022: 7 · 2021: 13 · 2020: 6 · 2019: 8 · 2018: 3 · 2017: 1
FWCI: 11.79
Type: journal article
Language: en
Open access: green
figshare.com
Licence: cc-by
www.elsevier.com/tdm/userlicense/1.0/ (tdm)
www.elsevier.com/legal/tdmrep-license (tdm)
Locations: Computers in Human Behavior (publishedVersion)
RMIT Research Repository (RMIT University Library) (submittedVersion)
Figshare (submittedVersion, cc-by)
Funders: Universiti Kuala Lumpur (DP140102655)
Topics: Social Sciences › Sociology and Political Science › Misinformation and Its Impacts
Social Sciences › Communication › Journalism and Media Studies
Physical Sciences › Computer Science › Information Systems › Spam and Phishing Detection
Keywords: perceived credibility, Twitter, reader demographics, educational background, geolocation, tweet features, writing style, trust in social media, information credibility

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On the credibility perception of news on Twitter: Readers, topics and features

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