Cited by 102Digital Marketing and Social MediaMarketing and Advertising StrategiesConsumer Market Behavior and Pricing

The effects of ad social and personal relevance on consumer ad engagement on social media: The moderating role of platform trust

Geng, Shuang, Yang, Pianpian, Gao, Yun, Tan, Yingsi, Yang, Congcong·2021·Computers in Human Behavior

Integrity signals

Registry

Crossref · 10.1016/j.chb.2021.106834

Cites

89 of 89 references verified0 citation errors · 0 not checkable

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  • Trust in information on social media and trust in the platforms themselves positively influence people's intention to share information, news, and opinions on social media.

    “All the studies in our corpus suggest that trust in the information on social media [10,56,65,68] and trust in the platforms themselves [30,59,66,70] positively infuence people's intention to share information, news, and opinions on social media [122].”

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Authors
Geng, S., Yang, P., Gao, Y., Tan, Y., & Yang, C.
Affiliations
  • Shenzhen University (CN)
  • Dongguan University of Technology (CN)
Corresponding author
Yang, Pianpian
Venue
Computers in Human Behavior
Publisher
Elsevier BV
Published
2021-09
Volume
122
Pages
106834
ISSN
0747-5632 (ISSN-L)
OpenAlex
W3157667005
Cited by
102
References
89
Citations by year
2026: 16 · 2025: 26 · 2024: 24 · 2023: 18 · 2022: 15 · 2021: 3
FWCI
20.79
Type
journal article
Language
en
Open access
closed
Locations
Computers in Human Behavior (publishedVersion)
Topics
  • Social Sciences › Sociology and Political Science › Digital Marketing and Social Media
  • Social Sciences › Business, Management and Accounting › Marketing › Marketing and Advertising Strategies
  • Social Sciences › Business, Management and Accounting › Marketing › Consumer Market Behavior and Pricing
Keywords
social media advertising, ad relevance, personal relevance, social relevance, platform trust, social motivation, elaboration likelihood model, moderating effect

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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

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