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Related papers: Detecting Anti-vaccine Content on Twitter using Mu…

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Vaccination rates are decreasing in many areas of the world, and outbreaks of preventable diseases tend to follow in areas with particular low rates. Much research has been devoted to improving our understanding of the motivations behind…

Social and Information Networks · Computer Science 2019-05-31 Bjarke Mønsted , Sune Lehmann

Detecting misinformation threads is crucial to guarantee a healthy environment on social media. We address the problem using the data set created during the COVID-19 pandemic. It contains cascades of tweets discussing information weakly…

Computation and Language · Computer Science 2023-04-07 Tommaso Fornaciari , Luca Luceri , Emilio Ferrara , Dirk Hovy

Vaccination is important to minimize the risk and spread of various diseases. In recent years, vaccination has been a key step in countering the COVID-19 pandemic. However, many people are skeptical about the use of vaccines for various…

Computation and Language · Computer Science 2023-12-19 Aniket Deroy , Subhankar Maity

Anti-vaccine sentiments have been well-known and reported throughout the history of viral outbreaks and vaccination programmes. The COVID-19 pandemic had fear and uncertainty about vaccines which has been well expressed on social media…

Social and Information Networks · Computer Science 2023-06-27 Rohitash Chandra , Jayesh Sonawane , Janhavi Lande , Cathy Yu

Enormous hope in the efficacy of vaccines became recently a successful reality in the fight against the COVID-19 pandemic. However, vaccine hesitancy, fueled by exposure to social media misinformation about COVID-19 vaccines became a major…

Computation and Language · Computer Science 2021-11-18 Maxwell A. Weinzierl , Sanda M. Harabagiu

Twitter, prompted by the rapid spread of alternative narratives, started actively warning users about the spread of COVID-19 misinformation. This form of soft moderation comes in two forms: as a warning cover before the Tweet is displayed…

Social and Information Networks · Computer Science 2021-04-05 Filipo Sharevski , Raniem Alsaadi , Peter Jachim , Emma Pieroni

In an era where public health is increasingly influenced by information shared on social media, combatting vaccine skepticism and misinformation has become a critical societal goal. Misleading narratives around vaccination have spread…

Computation and Language · Computer Science 2025-10-21 Utsav Dhanuka , Soham Poddar , Saptarshi Ghosh

The spread of coronavirus and anti-vaccine conspiracies online hindered public health responses to the pandemic. We examined the content of external articles shared on Twitter from February to June 2020 to understand how conspiracy theories…

Social and Information Networks · Computer Science 2021-09-07 Richard Kuzma , Iain J. Cruickshank , Kathleen M. Carley

This paper reports the findings of a 606-participant study where we analyzed the perception and engagement effects of COVID-19 vaccine rumours on Twitter pertaining to (a) vaccine efficacy; and (b) mass immunization efforts in the United…

Social and Information Networks · Computer Science 2021-11-11 Filipo Sharevski , Allice Huff , Peter Jachim , Emma Pieroni

Sharing of anti-vaccine posts on social media, including misinformation posts, has been shown to create confusion and reduce the publics confidence in vaccines, leading to vaccine hesitancy and resistance. Recent years have witnessed the…

Computation and Language · Computer Science 2021-12-17 Mingyang Zhou , Mahasweta Chakraborti , Sijia Qian , Zhou Yu , Jingwen Zhang

The most surprising observation reported by the study in (arXiv:2208.13523), involving stance detection of COVID-19 vaccine related tweets during the first year of pandemic, is the presence of a significant number of users (~2 million) who…

Social and Information Networks · Computer Science 2024-10-28 Zainab Zaidi , Mengbin Ye , Shanika Karunasekera , Yoshihisa Kashima

Following the wave of misinterpreted, manipulated and malicious information growing on the Internet, the misinformation surrounding COVID-19 has become a paramount issue. In the context of the current COVID-19 pandemic, social media posts…

Social and Information Networks · Computer Science 2021-05-18 Drishti Jain , Tavpritesh Sethi

COVID-19 has affected the world economy and the daily life routine of almost everyone. It has been a hot topic on social media platforms such as Twitter, Facebook, etc. These social media platforms enable users to share information with…

Social and Information Networks · Computer Science 2021-06-15 Pervaiz Iqbal Khan , Imran Razzak , Andreas Dengel , Sheraz Ahmed

This study investigated and compared public sentiment related to COVID-19 vaccines expressed on two popular social media platforms, Reddit and Twitter, harvested from January 1, 2020, to March 1, 2022. To accomplish this task, we created a…

Computation and Language · Computer Science 2022-11-29 Chad A Melton , Brianna M White , Robert L Davis , Robert A Bednarczyk , Arash Shaban-Nejad

In the realm of public health, vaccination stands as the cornerstone for mitigating disease risks and controlling their proliferation. The recent COVID-19 pandemic has highlighted how vaccines play a crucial role in keeping us safe. However…

Computation and Language · Computer Science 2023-12-20 Somsubhra De , Shaurya Vats

The most effective of the solutions against Covid-19 is the various vaccines developed. Distrust of vaccines can hinder the rapid and effective use of this remedy. One of the means of expressing the thoughts of society is social media.…

Computation and Language · Computer Science 2022-02-02 Ülkü Tuncer Küçüktaş , Fatih Uysal , Fırat Hardalaç , İsmail Biri

Trolling and social bots have been proven as powerful tactics for manipulating the public opinion and sowing discord among Twitter users. This effort requires substantial content fabrication and account coordination to evade Twitter's…

Cryptography and Security · Computer Science 2020-03-30 Filipo Sharevski , Peter Jachim , Kevin Florek

We demonstrate the Misinformation Concierge, a proof-of-concept that provides actionable intelligence on misinformation prevalent in social media. Specifically, it uses language processing and machine learning tools to identify subtopics of…

Computation and Language · Computer Science 2023-09-06 Shakshi Sharma , Anwitaman Datta , Vigneshwaran Shankaran , Rajesh Sharma

In this paper, we look at a database of tweets sorted by various keywords that could indicate the users sentiment towards covid vaccines. With social media becoming such a prevalent source of opinion, sorting and ranking tweets that hold…

Computation and Language · Computer Science 2023-11-09 Wenbo Zhu , Tiechuan Hu

Over 12 billion doses of COVID-19 vaccines have been administered at the time of writing. However, public perceptions of vaccines have been complex. We analyzed COVID-19 vaccine-related tweets to understand the evolving perceptions of…

Computation and Language · Computer Science 2022-07-22 Hanyin Wang , Meghan R. Hutch , Yikuan Li , Adrienne S. Kline , Sebastian Otero , Leena B. Mithal , Emily S. Miller , Andrew Naidech , Yuan Luo