Studying leaders & their concerns using online social media during the times of crisis - A COVID case study.
Soc Netw Anal Min
; 11(1): 46, 2021.
Article
in English
| MEDLINE | ID: covidwho-1230301
ABSTRACT
Online social media (OSM) has emerged as a prominent platform for debate on a wide range of issues. Even celebrities and public figures often share their opinions on a variety of topics through OSM platforms. One such subject that has gained a lot of coverage on Twitter is the Novel Coronavirus, officially known as COVID-19, which has become a pandemic and has sparked a crisis in human history. In this study, we examine 29 million tweets over three months to study highly influential users, whom we refer to as leaders. We recognize these leaders through social network techniques and analyse their tweets using text analysis. Using a community detection algorithm, we categorize these leaders into four clusters research, news, health, and politics, with each cluster containing Twitter handles (accounts) of individual users or organizations. e.g., the health cluster includes the World Health Organization (@WHO), the Director-General of WHO (@DrTedros), and so on. The emotion analysis reveals that (i) all clusters show an equal amount of fear in their tweets, (ii) research and news clusters display more sadness than others, and (iii) health and politics clusters are attempting to win public trust. According to the text analysis, the (i) research cluster is more concerned with recognizing symptoms and the development of vaccination; (ii) news and politics clusters are mostly concerned with travel. We then show that we can use our findings to classify tweets into clusters with a score of 96% AUC ROC.
Full text:
Available
Collection:
International databases
Database:
MEDLINE
Type of study:
Case report
/
Prognostic study
Topics:
Vaccines
Language:
English
Journal:
Soc Netw Anal Min
Year:
2021
Document Type:
Article
Affiliation country:
S13278-021-00756-w
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