An Exploration of Geo-temporal Characteristics of Users' Reactions on Social Media During the Pandemic
Eldor Abdukhamidov, Firuz Juraev, Mohammed Abuhamad, Tamer AbuHmed

TL;DR
This study analyzes social media reactions during COVID-19, revealing dominant neutral sentiments, health-focused topics, and the influence of top-mentioned countries on global discussions over time.
Contribution
It provides a comprehensive analysis of geo-temporal and emotional reactions on social media during the pandemic, highlighting country-specific influences and topic shifts.
Findings
Neutral sentiment dominates social media reactions.
Health issues are the most discussed topics.
Top-mentioned countries influence global reactions more.
Abstract
During the outbreak of the COVID-19 pandemic, social networks become the preeminent medium for communication, social discussion, and entertainment. Social network users are regularly expressing their opinions about the impacts of the coronavirus pandemic. Therefore, social networks serve as a reliable source for studying the topics, emotions, and attitudes of users that are discussed during the pandemic. In this paper, we investigate the reactions and attitudes of people towards topics raised on social media platforms. We collected data of two large-scale COVID-19 datasets from Twitter and Instagram for six and three months, respectively. The paper analyzes the reaction of social network users on different aspects including sentiment analysis, topics detection, emotions, and geo-temporal characteristics of our dataset. We show that the dominant sentiment reactions on social media are…
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Taxonomy
TopicsMisinformation and Its Impacts · Sentiment Analysis and Opinion Mining · Hate Speech and Cyberbullying Detection
