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Journal of Public Interest Communications
Article . 2021 . Peer-reviewed
License: CC BY NC
Data sources: Crossref
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Journal of Public Interest Communications
Article
License: CC BY NC
Data sources: UnpayWall
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Conversing or Diffusing Information?

An Examination of Public Health Twitter Chats
Authors: Bayliss, Lauren; Zhu, Yuner; Fu, King-Wa; Mullican, Lindsay; Ahmeda, Ferdous; Liang, Hai; Tse, Zion; +3 Authors

Conversing or Diffusing Information?

Abstract

This study examines the one-way information diffusion and two-way dialogic engagement present in public health Twitter chats. Network analysis assessed whether Twitter chats adhere to one of the key principles for online dialogic communication, the dialogic loop (Kent & Taylor, 1998) for four public health-related chats hosted by CDC Twitter accounts. The features of the most retweeted accounts and the most retweeted tweets also were examined. The results indicate that very little dialogic engagement took place. Moreover, the chats seemed to function as pseudoevents primarily used by organizations as opportunities for creating content. However, events such as #PublicHealthChat may serve as important opportunities for gaining attention for issues on social media. Implications for using social media in public interest communications are discussed.

Countries
United States, United Kingdom
Keywords

Opinion leader, Communication, Twitter, Network analysis, Public Health, Dialogic loop

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green
gold