mlsanityData to 14 Oct 2026

Analyzing Public Reactions, Perceptions, and Attitudes during the MPox Outbreak: Findings from Topic Modeling of Tweets

arXiv 2312.11895 ↗First posted 19 Dec 2023cs.SI cs.AI cs.CLcited by 2

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Abstract (arXiv)

The recent outbreak of the MPox virus has resulted in a tremendous increase in the usage of Twitter. Prior works in this area of research have primarily focused on the sentiment analysis and content analysis of these Tweets, and the few works that have focused on topic modeling have multiple limitations. This paper aims to address this research gap and makes two scientific contributions to this field. First, it presents the results of performing Topic Modeling on 601,432 Tweets about the 2022 Mpox outbreak that were posted on Twitter between 7 May 2022 and 3 March 2023. The results indicate that the conversations on Twitter related to Mpox during this time range may be broadly categorized into four distinct themes - Views and Perspectives about Mpox, Updates on Cases and Investigations about Mpox, Mpox and the LGBTQIA+ Community, and Mpox and COVID-19. Second, the paper presents the findings from the analysis of these Tweets. The results show that the theme that was most popular on Twitter (in terms of the number of Tweets posted) during this time range was Views and Perspectives about Mpox. This was followed by the theme of Mpox and the LGBTQIA+ Community, which was followed by the themes of Mpox and COVID-19 and Updates on Cases and Investigations about Mpox, respectively. Finally, a comparison with related studies in this area of research is also presented to highlight the novelty and significance of this research work.

Key facts. Cited by 2 papers in the map (data through 14 Oct 2026). Builds on 10 of its 140 references that are in the map. First posted on arXiv 19 Dec 2023.

Builds on

10 of 140 references.

References · 10

  1. 2017Latent Dirichlet Allocation (LDA) and Topic modeling: models, applications, a surveycited by 91
  2. 2023#RoeOverturned: Twitter Dataset on the Abortion Rights Controversycited by 14
  3. 2022A Large-Scale Dataset of Twitter Chatter about Online Learning during the Current COVID-19 Omicron Wavecited by 8
  4. 2023Sentiment Analysis and Text Analysis of the Public Discourse on Twitter about COVID-19 and MPoxcited by 8
  5. 2021An Ambient Intelligence-Based Human Behavior Monitoring Framework for Ubiquitous Environmentscited by 5
  6. 2017A Review on Internet of Things (IoT), Internet of Everything (IoE) and Internet of Nano Things (IoNT)cited by 4
  7. 2021Multimodal Approaches for Indoor Localization for Ambient Assisted Living in Smart Homescited by 3
  8. 2022A CNN-LSTM-based hybrid deep learning approach to detect sentiment polarities on Monkeypox tweetscited by 3
  9. 2022A Simplistic and Cost-Effective Design for Real-World Development of an Ambient Assisted Living System for Fall Detection and Indoor Localization: Proof of Conceptcited by 2
  10. 2022Short Text Topic Modeling: Application to tweets about Bitcoincited by 1

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Cited by year (2026 to 14 Oct)

Citing papers per year: 2025: 1; 2026: 1.

2 papers.