Sentiment, richness, authority, and relevance model of information sharing during social Crises—the case of# MH370 tweets

Abstract

The study introduces a model of crisis information sharing based on Twitter discussions of the missing Malaysian Airlines Flight 370. Grounded in the Elaboration Likelihood Model, the study tests four salient factors: Sentiment, Richness, Authority, and Relevance, which can be measured by peripheral cues in tweets and in user profiles. Findings suggest that information sharing is positively associated with the presence of peripheral cues indicative of a confident, self-revealing and positive emotional language style, and is negatively related to an angry and informal style. Additionally, information sharing is related to the presence of multimedia cues and cues indicating source popularity.

Publication
Computers in Human Behavior
Date
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Weiai Wayne Xu
Assistant Professor in Computational Communication