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A Twitter narrative of the COVID-19 pandemic in Australia
Lamsal, R.
Read, M.R.
Karunasekera, S.
Jaziar Radianti
Ioannis Dokas
Nicolas Lalone
Deepak Khazanchi
Social media platforms contain abundant data that can provide comprehensive knowledge of historical and real-time events. During crisis events, the use of social media peaks, as people discuss what they have seen, heard, or felt. Previous studies confirm the usefulness of such socially generated discussions for the public, first responders, and decision-makers to gain a better understanding of events as they unfold at the ground level. This study performs an extensive analysis of COVID-19-related Twitter discussions generated in Australia between January 2020, and October 2022. We explore the Australian Twitterverse by employing state-of-the-art approaches from both supervised and unsupervised domains to perform network analysis, topic modeling, sentiment analysis, and causality analysis. As the presented results provide a comprehensive understanding of the Australian Twitterverse during the COVID-19 pandemic, this study aims to explore the discussion dynamics to aid the development of future automated information systems for epidemic/pandemic management.
info:doi/10.59297/GQED8281
openurl:?ctx_ver=Z39.88-2004&rfr_id=info%3Asid%2Fidl.iscram.org%2F&genre=proceeding&title=A%20Twitter%20narrative%20of%20the%20COVID-19%20pandemic%20in%20Australia&stitle=Iscram%202023&date=2023&spage=353&epage=370&aulast=Lamsal&aufirst=R.&au=Read%2C%20M.R.&au=Karunasekera%2C%20S.&pub=University%20of%20Nebraska%20at%20Omaha&place=Omaha%2C%20USA&id=info%3Adoi%2F10.59297%2FGQED8281&sid=refbase%3AISCRAM
url:http://idl.iscram.org/show.php?record=2531
citekey:Lamsal_etal2023
citation:Lamsal, R., Read, M. R., & Karunasekera, S. (2023). A Twitter narrative of the COVID-19 pandemic in Australia. In Jaziar Radianti, Ioannis Dokas, Nicolas Lalone, & Deepak Khazanchi (Eds.), Proceedings of the 20th International ISCRAM Conference (pp. 353-370). Omaha, USA: University of Nebraska at Omaha.
2023
ConferencePaper
text
Crisis Informatics
Situational Awareness
Topic Modeling
Granger Causality
Network Analysis
file:http://idl.iscram.org/files/lamsal/2023/2531_Lamsal_etal2023.pdf
University of Nebraska at Omaha
English
Proceedings of the 20th International ISCRAM Conference
2023
353
370
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