ArticleTechnological forecasting and social change2021
Do news media and citizens have the same agenda on COVID-19? an empirical comparison of twitter posts.
Article in Technological forecasting and social change, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- Article
- Heterogeneous Diffusion of Government Microblogs and Public Agenda Networks during Public Policy Communication in China.Entropy (Basel, Switzerland) · 2023Article
- A one-hundred-year structural topic modeling analysis of the knowledge structure of international management research.Quality & quantity · 2022Article
- Multiplicity and dynamics of social representations of the COVID-19 pandemic on Chinese social media from 2019 to 2020.Information processing & management · 2022Article
- Relevance of E-Participation in the state health campaign in Spain: #EstoNoEsUnJuego / #ThisIsNotAGame.Technology in society · 2022Article
- What Does Twitter Say About Self-Regulated Learning? Mapping Tweets From 2011 to 2021.Frontiers in psychology · 2022Article
- Information sharing practices during the COVID-19 pandemic: A case study about face masks.PloS one · 2022Article
- Article
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Authors and funding
3 authors.
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Abstract
This study analyses the agenda setting on social media in the COVID-19 pandemic by exploiting one of the disruptive technologies, big data analytics. Our purpose is to examine whether the agenda of news organisations matches the public agenda on social media in crisis situations, and to explore the feasibility and efficacy of applying big data analytics on social media data. To this end, we used an unsupervised machine learning approach, structural topic modelling and analysed 129,965 tweets posted by UK news media and citizens during April 2, and 8, 2020. Our study reveals a wide diversity of topics in the tweets generated by both groups and finds only a small number of topics are similar, indicating different agendas set in the pandemic. Moreover, we show that citizen tweets focused more on expressing feelings and sharing personal activities while news media tweets talked more about facts and analysis on COVID-19. In addition, our results find that citizens responded more significantly to breaking news. The findings of the study contribute to the agenda setting literature and offer valuable practical implications.
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