Article2022

Detecting the research structure and topic trends of social media using static and dynamic probabilistic topic models

Muhammad Inaam ul haq · Qianmu Li · Jun Hou · Adnan Iftekhar

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Computational and Text Analysis Methods scientometrics and bibliometrics research Diverse Approaches in Healthcare and Education Studies

Abstract

Purpose A huge volume of published research articles is available on social media which evolves because of the rapid scientific advances and this paper aims to investigate the research structure of social media. Design/methodology/approach This study employs an integrated topic modeling and text mining-based approach on 30381 Scopus index titles, abstracts, and keywords published between 2006 and 2021. It combines analytical analysis of top-cited reviews with topic modeling as means of semantic validation. The output sequences of the dynamic model are further analyzed using the statistical techniques that facilitate the extraction of topic clusters, communities, and potential inter-topic research directions. Findings This paper brings into vision the research structure of social media in terms of topics, temporal topic evolutions, topic trends, emerging, fading, and consistent topics of this domain. It also traces various shifts in topic themes. The hot research topics are the application of the machine or deep learning towards social media in general, alcohol consumption in different regions and its impact, Social engagement and media platforms. Moreover, the consistent topics in both models include food management in disaster, health study of diverse age groups, and emerging topics include drug violence, analysis of social media news for misinformation, and problems of Internet addiction. Originality/value This study extends the existing topic modeling-based studies that analyze the social media literature from a specific disciplinary viewpoint. It focuses on semantic validations of topic-modeling output and correlations among the topics and also provides a two-stage cluster analysis of the topics.

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References

2020The socio-economic implications of the coronavirus pandemic (COVID-19): A review 2015The journal coverage of Web of Science and Scopus: a comparative analysis 2020Impact of COVID-19 pandemic on mental health in the general population: A systematic review 2020Effects of COVID-19 on College Students’ Mental Health in the United States: Interview Survey Study 2013A New Dimension of Health Care: Systematic Review of the Uses, Benefits, and Limitations of Social Media for Health Communication 2011The Impact of Social Media on Children, Adolescents, and Families 2019Systematic Literature Review on the Spread of Health-related Misinformation on Social Media 2017Social Networking Sites and Addiction: Ten Lessons Learned

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2024Achieving sustainable development goals (SDGs) through corporate sustainability: a topic modeling-based bibliometric analysis approach

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