Title: Research on community-based group communication behaviours in convergence media
Authors: Haixiang He
Addresses: School of Network Communication, Zhejiang Yuexiu University, Shaoxing, Zhejiang 312000, China
Abstract: The emergence of the internet has led to the convergence of traditional media, greatly improving the speed of information dissemination but also enabling the rapid spread of undesirable information. To avoid the rapid spread of undesirable information that affects social stability, it is necessary to analyse the community-based group communication behaviour in convergence media. This paper briefly introduces convergence media and the community-based group communication behaviour in convergence media and uses structural equation modelling to analyse the group communication behaviour. The results showed that the stimulation degree of stimulating events, individual characteristics, and group structure was positively correlated with the implementation intention; contextual factors were positively correlated with stimulating events, individual characteristics and group structure.
Keywords: community-based; convergence media; group communication behaviour; structural equation model.
DOI: 10.1504/IJNVO.2022.124775
International Journal of Networking and Virtual Organisations, 2022 Vol.26 No.4, pp.309 - 318
Received: 06 Nov 2021
Received in revised form: 24 Mar 2022
Accepted: 18 Apr 2022
Published online: 08 Aug 2022 *