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Exploring repost features of police-generated microblogs through topic and sentiment analysis

XiaoBo Tang (Department of Information Management, Wuhan University, Wuhan, China)
Shixuan Li (Department of Information Management, Wuhan University, Wuhan, China)
Na Gu (Department of Information Management, Wuhan University, Wuhan, China)
MingLiang Tan (Department of Information Management, Wuhan University, Wuhan, China)

The Electronic Library

ISSN: 0264-0473

Publication date: 5 August 2019

Abstract

Purpose

This study aims to explore the repost features of microblogs acting to promote the information diffusion of government-generated content on social media.

Design/methodology/approach

This study proposes a topic−sentiment analysis using a mixed social media analytics framework to analyse the microblogs collected from the Sina Weibo accounts of 30 Chinese provincial police departments. On the basis of this analysis, this study presents the distribution of reposted microblogs and reveals the reposting characteristics of police-generated microblogs (PGMs).

Findings

The experimental results indicate that children’s safety and crime-related PGMs with a positive sentiment can achieve a high level of online information diffusion.

Originality/value

This study is novel, as it reveals the reposting features of PGMs from both a topic and sentiment perspectives, and provides new findings that can inspire users’ reposting behaviour.

Keywords

Citation

Tang, X., Li, S., Gu, N. and Tan, M. (2019), "Exploring repost features of police-generated microblogs through topic and sentiment analysis", The Electronic Library, Vol. 37 No. 4, pp. 607-623. https://doi.org/10.1108/EL-02-2019-0044

Publisher

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Emerald Publishing Limited

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