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Top Concerns of Tweeters During the COVID-19 Pandemic: Infoveillance Study.

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TLDR
The main topics posted by Twitter users related to the COVID-19 pandemic were identified and grouped into four main themes: origin of the virus; its sources; its impact on people, countries, and the economy; and ways of mitigating the risk of infection.
Abstract
Background: The recent coronavirus disease (COVID-19) pandemic is taking a toll on the world’s health care infrastructure as well as the social, economic, and psychological well-being of humanity. Individuals, organizations, and governments are using social media to communicate with each other on a number of issues relating to the COVID-19 pandemic. Not much is known about the topics being shared on social media platforms relating to COVID-19. Analyzing such information can help policy makers and health care organizations assess the needs of their stakeholders and address them appropriately. Objective: This study aims to identify the main topics posted by Twitter users related to the COVID-19 pandemic. Methods: Leveraging a set of tools (Twitter’s search application programming interface (API), Tweepy Python library, and PostgreSQL database) and using a set of predefined search terms (“corona,” “2019-nCov,” and “COVID-19”), we extracted the text and metadata (number of likes and retweets, and user profile information including the number of followers) of public English language tweets from February 2, 2020, to March 15, 2020. We analyzed the collected tweets using word frequencies of single (unigrams) and double words (bigrams). We leveraged latent Dirichlet allocation for topic modeling to identify topics discussed in the tweets. We also performed sentiment analysis and extracted the mean number of retweets, likes, and followers for each topic and calculated the interaction rate per topic. Results: Out of approximately 2.8 million tweets included, 167,073 unique tweets from 160,829 unique users met the inclusion criteria. Our analysis identified 12 topics, which were grouped into four main themes: origin of the virus; its sources; its impact on people, countries, and the economy; and ways of mitigating the risk of infection. The mean sentiment was positive for 10 topics and negative for 2 topics (deaths caused by COVID-19 and increased racism). The mean for tweet topics of account followers ranged from 2722 (increased racism) to 13,413 (economic losses). The highest mean of likes for the tweets was 15.4 (economic loss), while the lowest was 3.94 (travel bans and warnings). Conclusions: Public health crisis response activities on the ground and online are becoming increasingly simultaneous and intertwined. Social media provides an opportunity to directly communicate health information to the public. Health systems should work on building national and international disease detection and surveillance systems through monitoring social media. There is also a need for a more proactive and agile public health presence on social media to combat the spread of fake news.

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Journal ArticleDOI

Tracking Social Media Discourse About the COVID-19 Pandemic: Development of a Public Coronavirus Twitter Data Set.

TL;DR: The COVID-19-TweetIDs GitHub repository as mentioned in this paper provides a multilingual COVID19 Twitter data set that is made available to the research community via a GitHub repository, with over 60% of the tweets in English.
Journal ArticleDOI

Unusual purchasing behavior during the early stages of the COVID-19 pandemic: The stimulus-organism-response approach

TL;DR: In this paper, the authors proposed a structural model connecting exposure to online information sources (environmental stimuli) to two behavioral responses: unusual purchases and voluntary self-isolation, and found a strong link between self-intention to self isolate and intention to make unusual purchases, providing empirical evidence that the reported consumer behavior was directly linked to anticipated time spent in self isolation.
Journal ArticleDOI

What social media told us in the time of COVID-19: a scoping review.

TL;DR: In this paper, the authors identified five broad public health themes concerning the role of online social media platforms and COVID-19, focusing on: surveying public attitudes, identifying infodemics, assessing mental health, detecting or predicting COVID19 cases, analysing government responses to the pandemic, and evaluating quality of health information in prevention education videos.
Journal ArticleDOI

Tracking Social Media Discourse About the COVID-19 Pandemic: Development of a Public Coronavirus Twitter Data Set

TL;DR: Basic statistics that show that Twitter activity responds and reacts to COVID-19-related events are presented, to enable the study of online conversation dynamics in the context of a planetary-scale epidemic outbreak of unprecedented proportions and implications.
Book

Machine Learning Approach

TL;DR: This book applied different combinations of feature selection / extraction methods, as a novel hybrid dimension reduction method for SVM, ANN and NB classifiers, and the obtained results are compared with other popular published dimension reduction methods for S VM, NB and ANN classifiers.
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Journal ArticleDOI

Addressing Health-Related Misinformation on Social Media.

TL;DR: The ubiquitous social media landscape has created an information ecosystem populated by a cacophony of opinion, true and false information, and an unprecedented quantity of data on many topics, which can have adverse effects on public health.
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