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An Exploratory Study of COVID-19 Information on Twitter in the Greater Region

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Faculty of Sciences, Technology and Medicine, University of Luxembourg, L-4364 Esch-sur-Alzette, Luxembourg
2
Interdisciplinary Centre for Security, Reliability and Trust, University of Luxembourg, L-4364 Esch-sur-Alzette, Luxembourg
*
Author to whom correspondence should be addressed.
Big Data Cogn. Comput. 2021, 5(1), 5; https://doi.org/10.3390/bdcc5010005
Received: 27 December 2020 / Revised: 13 January 2021 / Accepted: 21 January 2021 / Published: 28 January 2021
(This article belongs to the Special Issue Big Data and Cognitive Computing: Feature Papers 2020)
The outbreak of the COVID-19 led to a burst of information in major online social networks (OSNs). Facing this constantly changing situation, OSNs have become an essential platform for people expressing opinions and seeking up-to-the-minute information. Thus, discussions on OSNs may become a reflection of reality. This paper aims to figure out how Twitter users in the Greater Region (GR) and related countries react differently over time through conducting a data-driven exploratory study of COVID-19 information using machine learning and representation learning methods. We find that tweet volume and COVID-19 cases in GR and related countries are correlated, but this correlation only exists in a particular period of the pandemic. Moreover, we plot the changing of topics in each country and region from 22 January 2020 to 5 June 2020, figuring out the main differences between GR and related countries. View Full-Text
Keywords: COVID-19; online social media; spatio-temporal analysis; topic modelling; pandemic information; Twitter COVID-19; online social media; spatio-temporal analysis; topic modelling; pandemic information; Twitter
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MDPI and ACS Style

Chen, N.; Zhong, Z.; Pang, J. An Exploratory Study of COVID-19 Information on Twitter in the Greater Region. Big Data Cogn. Comput. 2021, 5, 5. https://doi.org/10.3390/bdcc5010005

AMA Style

Chen N, Zhong Z, Pang J. An Exploratory Study of COVID-19 Information on Twitter in the Greater Region. Big Data and Cognitive Computing. 2021; 5(1):5. https://doi.org/10.3390/bdcc5010005

Chicago/Turabian Style

Chen, Ninghan, Zhiqiang Zhong, and Jun Pang. 2021. "An Exploratory Study of COVID-19 Information on Twitter in the Greater Region" Big Data and Cognitive Computing 5, no. 1: 5. https://doi.org/10.3390/bdcc5010005

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