  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.
