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Related papers: Detecting Anti-Vaccine Users on Twitter

200 papers

At the beginning of the COVID-19 pandemic, fears grew that making vaccination a political (instead of public health) issue may impact the efficacy of this life-saving intervention, spurring the spread of vaccine-hesitant content. In this…

Social and Information Networks · Computer Science 2024-03-05 Giordano Paoletti , Lorenzo Dall'Amico , Kyriaki Kalimeri , Jacopo Lenti , Yelena Mejova , Daniela Paolotti , Michele Starnini , Michele Tizzani

To address the vaccine hesitancy which impairs the efforts of the COVID-19 vaccination campaign, it is imperative to understand public vaccination attitudes and timely grasp their changes. In spite of reliability and trustworthiness,…

Social and Information Networks · Computer Science 2022-06-28 Ninghan Chen , Xihui Chen , Zhiqiang Zhong , Jun Pang

Billions of COVID-19 vaccines have been administered, but many remain hesitant. Misinformation about the COVID-19 vaccines and other vaccines, propagating on social media, is believed to drive hesitancy towards vaccination. The ability to…

Computation and Language · Computer Science 2022-02-22 Maxwell Weinzierl , Sanda Harabagiu

Objective: We formed community structure based on web page credibility and we measured the types of information for characterizing communities of tweeter users who posted about tweets related to vaccine. Methods: We performed the experiment…

Social and Information Networks · Computer Science 2021-03-23 Md. Rafiul Biswas

Background: Tools used to appraise the credibility of health information are time-consuming to apply and require context-specific expertise, limiting their use for quickly identifying and mitigating the spread of misinformation as it…

Social and Information Networks · Computer Science 2021-02-19 Zubair Shah , Didi Surian , Amalie Dyda , Enrico Coiera , Kenneth D. Mandl , Adam G. Dunn

Background Advances in machine learning (ML) models have increased the capability of researchers to detect vaccine hesitancy in social media using Natural Language Processing (NLP). A considerable volume of research has identified the…

Computation and Language · Computer Science 2025-03-25 Lorena G Barberia , Belinda Lombard , Norton Trevisan Roman , Tatiane C. M. Sousa

COVID-19 vaccine hesitancy has increased concerns about vaccine uptake required to overcome the pandemic and protect public health. A critical factor associated with anti-vaccine attitudes is the information shared on social media. In this…

Social and Information Networks · Computer Science 2022-04-04 Karishma Sharma , Yizhou Zhang , Yan Liu

While billions of COVID-19 vaccines have been administered, too many people remain hesitant. Twitter, with its substantial reach and daily exposure, is an excellent resource for examining how people frame their vaccine hesitancy and to…

Computation and Language · Computer Science 2022-02-22 Maxwell Weinzierl , Sanda Harabagiu

Healthcare workers such as doctors and nurses are expected to be trustworthy and creditable sources of vaccine-related information. Their opinions toward the COVID-19 vaccines may influence the vaccine uptake among the general population.…

Social and Information Networks · Computer Science 2022-11-22 Sajid Hussain Rafi Ahamed , Shahid Shakil , Hanjia Lyu , Xinping Zhang , Jiebo Luo

This COVID-19 pandemic is so dreadful that it leads to severe anxiety, phobias, and complicated feelings or emotions. Even after vaccination against Coronavirus has been initiated, people feelings have become more diverse and complex, and…

Developing an understanding of the public discourse on COVID-19 vaccination on social media is important not only for addressing the current COVID-19 pandemic, but also for future pathogen outbreaks. We examine a Twitter dataset containing…

Social and Information Networks · Computer Science 2022-08-30 Zainab Zaidi , Mengbin Ye , Fergus John Samon , Abdisalam Jama , Binduja Gopalakrishnan , Chenhao Gu , Shanika Karunasekera , Jamie Evans , Yoshihisa Kashima

The current development of vaccines for SARS-CoV-2 is unprecedented. Little is known, however, about the nuanced public opinions on the vaccines on social media. We adopt a human-guided machine learning framework using more than six million…

Social and Information Networks · Computer Science 2021-08-10 Hanjia Lyu , Junda Wang , Wei Wu , Viet Duong , Xiyang Zhang , Timothy D. Dye , Jiebo Luo

Despite the wide availability of COVID-19 vaccines in the United States and their effectiveness in reducing hospitalizations and mortality during the pandemic, a majority of Americans chose not to be vaccinated during 2021. Recent work…

Social and Information Networks · Computer Science 2026-02-09 John Bollenbacher , Filippo Menczer , John Bryden

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

Vaccines are an important public health measure, but vaccine hesitancy and refusal can create clusters of low vaccine coverage and reduce the effectiveness of vaccination programs. Social media provides an opportunity to estimate emerging…

Computation and Language · Computer Science 2021-06-18 Usman Naseem , Matloob Khushi , Jinman Kim , Adam G. Dunn

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

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

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

We demonstrate the applicability of network embedding to vaccine skepticism, a controversial topic of long-past history. With the Covid-19 pandemic outbreak at the end of 2019, the topic is more important than ever. Only a year after the…

Social and Information Networks · Computer Science 2021-10-27 Ferenc Béres , Rita Csoma , Tamás Vilmos Michaletzky , András A. Benczúr

With a substantial proportion of the population currently hesitant to take the COVID-19 vaccine, it is important that people have access to accurate information. However, there is a large amount of low-credibility information about vaccines…