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Congruency and users’ sharing on social media platforms : a novel approach for analyzing content

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Ahmadi, Iman, Waltenrath, Adrian and Janze, Christian (2023) Congruency and users’ sharing on social media platforms : a novel approach for analyzing content. Journal of Advertising, 52 (3). pp. 369-386. doi:10.1080/00913367.2022.2055683 ISSN 0091-3367.

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WRAP-Congruency-users-sharing-social-media-platforms-novel-analyzing-2022.pdf - Accepted Version
Embargoed item. Restricted access to Repository staff only until 29 October 2023. Contact author directly, specifying your specific needs. - Requires a PDF viewer.
Available under License Creative Commons: Attribution-Noncommercial 4.0.

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WRAP-supplemental-online-appendix-2022.pdf - Supplemental Material
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Official URL: https://doi.org/10.1080/00913367.2022.2055683

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Abstract

With users increasingly spending time on social media platforms, firms are expanding their activities to cover more than one platform. Each has a unique vernacular—its popular communication style—which increases the need for firms to use platform-specific content optimization. This study distinguishes between textual and visual content intentions, depending on the degree of informative and affective appeals used. We examine how congruency between visual content and platform type and textual content affects users’ sharing. We distinguish between hedonic platforms, such as Facebook, primarily used for entertainment and social interaction, and utilitarian platforms, such as Twitter, primarily used for receiving timely information. We develop a new approach to examine how textual and visual content composition affects users’ sharing behavior across platforms. Based on this new approach, we analyze posts by S&P 500 members operating on Facebook and Twitter. Our results show that posts with visual content congruent with the primary user intent of the platforms are more likely to be shared. Furthermore, Facebook users prefer affective textual and visual content, while Twitter users are more inclined toward a combination of informative visual and affective textual content.

Item Type: Journal Article
Alternative Title:
Subjects: H Social Sciences > HM Sociology
Divisions: Faculty of Social Sciences > Warwick Business School
Library of Congress Subject Headings (LCSH): Online social networks, Content analysis (Communication)
Journal or Publication Title: Journal of Advertising
Publisher: Routledge
ISSN: 0091-3367
Official Date: 2023
Dates:
DateEvent
2023Published
29 April 2022Available
16 March 2022Accepted
14 December 2020Submitted
Volume: 52
Number: 3
Number of Pages: 18
Page Range: pp. 369-386
DOI: 10.1080/00913367.2022.2055683
Status: Peer Reviewed
Publication Status: Published
Reuse Statement (publisher, data, author rights): This is an Accepted Manuscript of an article published by Taylor & Francis in American Academy of Advertising on 29-04-2022, available online: http://www.tandfonline.com/10.1080/00913367.2022.2055683.”
Access rights to Published version: Restricted or Subscription Access
Copyright Holders: American Academy of Advertising
Date of first compliant deposit: 14 April 2022
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