[HTML][HTML] Tracking COVID-19 discourse on Twitter in North America: infodemiology study using topic modeling and aspect-based sentiment analysis

H Jang, E Rempel, D Roth, G Carenini… - Journal of medical Internet …, 2021 - jmir.org
Background Social media is a rich source where we can learn about people's reactions to
social issues. As COVID-19 has impacted people's lives, it is essential to capture how …

[HTML][HTML] An evolutionary fake news detection method for covid-19 pandemic information

B Al-Ahmad, AM Al-Zoubi, R Abu Khurma, I Aljarah - Symmetry, 2021 - mdpi.com
As the COVID-19 pandemic rapidly spreads across the world, regrettably, misinformation
and fake news related to COVID-19 have also spread remarkably. Such misinformation has …

[HTML][HTML] Comparing news articles and tweets about COVID-19 in Brazil: sentiment analysis and topic modeling approach

T de Melo, CMS Figueiredo - JMIR Public Health and …, 2021 - publichealth.jmir.org
Background: The COVID-19 pandemic is severely affecting people worldwide. Currently, an
important approach to understand this phenomenon and its impact on the lives of people …

[HTML][HTML] A deep learning sentiment analyser for social media comments in low-resource languages

Z Kastrati, L Ahmedi, A Kurti, F Kadriu, D Murtezaj… - Electronics, 2021 - mdpi.com
During the pandemic, when people needed to physically distance, social media platforms
have been one of the outlets where people expressed their opinions, thoughts, sentiments …

Demystifying the COVID-19 infodemic: Conspiracies, context, and the agency of users

I Gagliardone, S Diepeveen, K Findlay… - Social Media+ …, 2021 - journals.sagepub.com
This article presents new empirical insights into what people do with conspiracy theories
during crises. By suppressing the impulse to distinguish between truth and falsehood, which …

Topic modeling and sentiment analysis of online education in the COVID-19 era using social networks based datasets

SA Waheeb, NA Khan, X Shang - Electronics, 2022 - mdpi.com
Sentiment Analysis (SA) is a technique to study people's attitudes related to textual data
generated from sources like Twitter. This study suggested a powerful and effective technique …

[HTML][HTML] The effect of a wordless, animated, social media video intervention on COVID-19 prevention: online randomized controlled trial

A Vandormael, M Adam, M Greuel… - JMIR public health …, 2021 - publichealth.jmir.org
Background Innovative approaches to the dissemination of evidence-based COVID-19
health messages are urgently needed to counter social media misinformation about the …

Investigating links between fear of COVID-19, neuroticism, social networks use disorder, and smartphone use disorder tendencies

C Montag, C Sindermann, D Rozgonjuk… - Frontiers in …, 2021 - frontiersin.org
The present study investigates links between fear of COVID-19, the personality trait of
neuroticism, social networks use disorder, and smartphone use disorder (SNUD and SmUD …

[PDF][PDF] Social media algorithms in countering cyber extremism: A systematic review

K Tahat, M Habes, A Mansoori, N Naqbi… - Journal of …, 2024 - researchgate.net
Countering cyber extremism is a crucial challenge in the digital age. Social media
algorithms, if designed and used properly, have the potential to be a powerful tool in this …

Social media responses to the pandemic: What makes a coronavirus meme creative

VP Glǎveanu, C de Saint Laurent - Frontiers in Psychology, 2021 - frontiersin.org
The current pandemic and the measures taken to address it, on a global scale, are
unprecedented. Times of crisis call for creative solutions, and these are not reduced to the …