How event information is trusted and shared on social media: a uses and gratification perspective
Abstract
This study explored the gratification factors of event-focused social media content that affect information sharing and information trust and ultimately the intention to attend an event. It also investigated how non-content factors moderate these relationships. The findings showed that the gratification factors (i.e., informational, entertaining, remunerative, and relational) of social media content significantly influence event attendees’ intention to share information, perceived information trust, and thus their intention to attend the event. Non-contents (i.e., visual design and information overload) act as a critical moderator altering the effects of the gratification factors on attendees’ intention to share and information trust.
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Visually- and emotionally-appealing stimuli better satisfy users' media needs, leading to more trust, according to gratification theory.
“According to the authors, this increase in trust can be attributed to gratifcation theory, as visually-and emotionally-appealing stimuli better satisfy users' media needs, leading to more trust [56].”
From What Do We Mean When We Talk about Trust in Social Media? A Systematic Review (2023) · cites this paper as [56]
Multi-media and visual components invoke positive emotional sentiments among users, which contributes to increased trust in that information.
“This is because these components often invoke positive emotional sentiments among users, which contributes to increased trust in that information [13,40,56].”
From What Do We Mean When We Talk about Trust in Social Media? A Systematic Review (2023) · cites this paper as [56]
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].”
From What Do We Mean When We Talk about Trust in Social Media? A Systematic Review (2023) · cites this paper as [56]
High levels of perceived trust in event information on social media increase users' willingness to participate in that event offline.
“For example, high levels of perceived trust in event information on social media increases users' willingness to participate in that event ofine [56].”
From What Do We Mean When We Talk about Trust in Social Media? A Systematic Review (2023) · cites this paper as [56]
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What Do We Mean When We Talk about Trust in Social Media? A Systematic Review
Zhang, Y., Gaggiano, J. D., Yongsatianchot, N., Suhaimi, N. M., Kim, M., Sun, Y., Griffin, J., & Parker, A. G. (2023) · Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems · doi:10.1145/3544548.3581019 · Cited by 29 · see citing works
- Authors
- Kim, S.-E., Kim, H. L., & Lee, S.
- Affiliations
- University of Nevada
- University of Nevada, Las Vegas (US)
- Corresponding author
- Kim, Hyelin Lina
- Venue
- Journal of Travel & Tourism Marketing
- Publisher
- Informa UK Limited
- Published
- 2021-06-13
- Volume
- 38
- Issue
- 5
- Pages
- 444-460
- ISSN
- 1054-8408 (ISSN-L)
- 1540-7306
- OpenAlex
- W3174847287
- Cited by
- 53
- References
- 112
- Citations by year
- 2026: 10 · 2025: 12 · 2024: 15 · 2023: 9 · 2022: 7
- FWCI
- 10.74
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Journal of Travel & Tourism Marketing (publishedVersion)
- Funders
- wttm
- Topics
- Social Sciences › Sociology and Political Science › Digital Marketing and Social Media
- Social Sciences › Health › Social Media in Health Education
- Physical Sciences › Computer Science › Computer Networks and Communications › Media and Digital Communication
- Keywords
- event information, social media, uses and gratifications theory, information sharing, trust in information, visual design, information overload, event marketing
About these checks
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.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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