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Interplay of message features and source: predicting twitter users' engagement behaviors following a terrorist attack.

Authors :
Zhan, Mengqi Monica
Zhao, Xinyan
Ma, Liang
Source :
Communication Research Reports; 2023, Vol. 40 Issue 1, p51-64, 14p, 2 Charts
Publication Year :
2023

Abstract

There has been limited evidence regarding how disaster message features and source of social media communication independently and jointly affect users' engagement behaviors. We conducted a content analysis of tweets collected from the Ariana Grande concert terrorist attack. Results from negative binomial regressions (N = 687) showed that the social support function of tweets affected reactive engagement, a higher level of content richness increased engagement, and source type moderated the effects of communication styles on engagement during the terrorist attack. For example, traditional media (vs. individuals) adopting an informal tone had a higher level of reactive and proactive engagement. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
08824096
Volume :
40
Issue :
1
Database :
Supplemental Index
Journal :
Communication Research Reports
Publication Type :
Academic Journal
Accession number :
161831668
Full Text :
https://doi.org/10.1080/08824096.2023.2171380