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Related papers: COVID-19 on YouTube: A Data-Driven Analysis of Sen…

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This work investigated about 10,000 COVID-19-related YouTube videos published between January 2023 and October 2024 to evaluate how temporal, lexical, linguistic, and structural factors influenced engagement during the late pandemic period.…

Social and Information Networks · Computer Science 2025-09-03 Nirmalya Thakur , Madeline D Hartel , Lane Michael Boden , Dallas Enriquez , Boston Joyner Ricks

Background: Social media platforms have become a viable source of medical information, with patients and healthcare professionals using them to share health-related information and track diseases. Similarly, YouTube, the largest…

Computation and Language · Computer Science 2023-06-05 Ahrar Bin Aslam , Zafi Sherhan Syed , Muhammad Faiz Khan , Asghar Baloch , Muhammad Shehram Shah Syed

Background. After a year and half and over 4 million deaths, the COVID-19 pandemic continues to be widespread, and its related topics continue to dominate the global media. Although COVID-19 diagnoses have been well monitored, neither the…

Computers and Society · Computer Science 2021-08-19 Guangqing Chi , Junjun Yin , M. Luke Smith , Yosef Bodovski

The COVID-19 pandemic has affected people's lives in many ways. Social media data can reveal public perceptions and experience with respect to the pandemic, and also reveal factors that hamper or support efforts to curb global spread of the…

The study aims to understand Twitter users' discourse and psychological reactions to COVID-19. We use machine learning techniques to analyze about 1.9 million Tweets (written in English) related to coronavirus collected from January 23 to…

Social and Information Networks · Computer Science 2021-01-27 Jia Xue , Junxiang Chen , Chen Chen , Chengda Zheng , Sijia Li , Tingshao Zhu

The COVID-19 pandemic has highlighted the dire necessity to improve public health literacy for societal resilience. YouTube, the largest video-sharing social media platform, provides a vast repository of user-generated health information in…

Information Retrieval · Computer Science 2024-09-10 Yawen Guo , Xiao Liu , Anjana Susarla , Rema Padman

The outbreak of the novel Coronavirus Disease (COVID-19) has greatly influenced people's daily lives across the globe. Emergent measures and policies (e.g., lockdown, social distancing) have been taken by governments to combat this highly…

Information Retrieval · Computer Science 2020-07-07 Hui Yin , Shuiqiao Yang , Jianxin Li

The spread of inaccurate and misleading information may alter behaviours and complicate crisis management, especially during an emergency like the COVID-19 pandemic. This paper aims to investigate information diffusion during the COVID-19…

Computers and Society · Computer Science 2022-12-01 Niccolò Di Marco , Matteo Cinelli , Walter Quattrociocchi

The COVID-19 pandemic has caused a global health crisis that affects many aspects of human lives. In the absence of vaccines and antivirals, several behavioural change and policy initiatives, such as physical distancing, have been…

The objective of the study is to examine coronavirus disease (COVID-19) related discussions, concerns, and sentiments that emerged from tweets posted by Twitter users. We analyze 4 million Twitter messages related to the COVID-19 pandemic…

Social and Information Networks · Computer Science 2020-06-22 Jia Xue , Junxiang Chen , Ran Hu , Chen Chen , ChengDa Zheng , Xiaoqian Liu , Tingshao Zhu

The COVID-19 pandemic has affected lives of people from different countries for almost two years. The changes on lifestyles due to the pandemic may cause psychosocial stressors for individuals, and have a potential to lead to mental health…

Computation and Language · Computer Science 2022-02-02 Yue Tong Leung , Farzad Khalvati

COVID-19 has been devastating the world since the end of 2019 and has continued to play a significant role in major national and worldwide events, and consequently, the news. In its wake, it has left no life unaffected. Having earned the…

Social and Information Networks · Computer Science 2021-04-23 Shayan Fazeli , Davina Zamanzadeh , Anaelia Ovalle , Thu Nguyen , Gilbert Gee , Majid Sarrafzadeh

This paper describes a large global dataset on people's discourse and responses to the COVID-19 pandemic over the Twitter platform. From 28 January 2020 to 1 June 2022, we collected and processed over 252 million Twitter posts from more…

Computation and Language · Computer Science 2022-06-28 Raj Kumar Gupta , Ajay Vishwanath , Yinping Yang

During the COVID-19 pandemic, health-related misinformation and harmful content shared online had a significant adverse effect on society. To mitigate this adverse effect, mainstream social media platforms employed soft moderation…

Social and Information Networks · Computer Science 2022-01-20 Chen Ling , Krishna P. Gummadi , Savvas Zannettou

The COVID-19 pandemic fueled one of the most rapid vaccine developments in history. However, misinformation spread through online social media often leads to negative vaccine sentiment and hesitancy. To investigate COVID-19 vaccine-related…

Information Retrieval · Computer Science 2021-08-31 Chad A Melton , Olufunto A Olusanya , Nariman Ammar , Arash Shaban-Nejad

The work of this paper presents a dataset that contains the data of 4011 videos about the ongoing outbreak of measles published on 264 websites on the internet between January 1, 2024, and May 31, 2024. The dataset is available at…

Computers and Society · Computer Science 2024-07-19 Nirmalya Thakur , Vanessa Su , Mingchen Shao , Kesha A. Patel , Hongseok Jeong , Victoria Knieling , Andrew Bian

The objective of this work is to explore popular discourse about the COVID-19 pandemic and policies implemented to manage it. Using Natural Language Processing, Text Mining, and Network Analysis to analyze corpus of tweets that relate to…

Social and Information Networks · Computer Science 2020-03-24 Christian E. Lopez , Malolan Vasu , Caleb Gallemore

The ongoing Coronavirus (COVID-19) pandemic highlights the inter-connectedness of our present-day globalized world. With social distancing policies in place, virtual communication has become an important source of (mis)information. As…

Social and Information Networks · Computer Science 2020-10-23 Karishma Sharma , Sungyong Seo , Chuizheng Meng , Sirisha Rambhatla , Yan Liu

The emergence of toxic information on social networking sites, such as Twitter, Parler, and Reddit, has become a growing concern. Consequently, this study aims to assess the level of toxicity in COVID-19 discussions on Twitter, Parler, and…

Social and Information Networks · Computer Science 2023-04-27 Nahiyan Bin Noor , Niloofar Yousefi , Billy Spann , Nitin Agarwal

COVID-19 has created a major public health problem worldwide and other problems such as economic crisis, unemployment, mental distress, etc. The pandemic is deadly in the world and involves many people not only with infection but also with…

Machine Learning · Computer Science 2025-11-25 Khandaker Tayef Shahriar , Iqbal H. Sarker
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