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

Shixuan Li · Na Gu · MingLiang Tan

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Public Relations and Crisis Communication E-Government and Public Services Social Media and Politics

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.

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References

2013Emotions and Information Diffusion in Social Media—Sentiment of Microblogs and Sharing Behavior 2012Local e-government 2.0: Social media and corporate transparency in municipalities 2017Social media analytics – Challenges in topic discovery, data collection, and data preparation 2012Social media and political communication: a social media analytics framework 2017Social network analysis: Characteristics of online social networks after a disaster 2012Social media use by government: From the routine to the critical 2015Quantitative analysis of large amounts of journalistic texts using topic modelling 2014Citizens' engagement on local governments' Facebook sites. An empirical analysis: The impact of different media and content types in Western Europe

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