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Using Artificial Neural Networks to Identify COVID-19 Misinformation
Since the spread of the coronavirus disease (COVID-19), a huge amount of information about the virus has been published over the internet and social...
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All Trolls Have One Mission: An Entropy Analysis of Political Misinformation Spreaders
Social media heavily influence the world. Its leverage has propitiated the rise of nefarious uses of social media platforms, such as spreading...
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Identifying Covid-19 misinformation tweets and learning their spatio-temporal topic dynamics using Nonnegative Coupled Matrix Tensor Factorization
Social media platforms like Twitter have become an easy portal for billions of people to connect and exchange their thoughts. Unfortunately, people...
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Testing the Generalization of Neural Language Models for COVID-19 Misinformation Detection
A drastic rise in potentially life-threatening misinformation has been a by-product of the COVID-19 pandemic. Computational support to identify false...
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Reducing Bias in a Misinformation Classification Task with Value-Adaptive Instruction
Instructional technology that supports the development of media literacy skills has garnered increased attention in the wake of recent misinformation...
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How do tweeters feel about scientific misinformation: an infoveillance sentiment analysis of tweets on retraction notices and retracted papers
The traditional retraction mechanism's failure to eradicate the retracted papers' continued effects urges for more control and monitoring systems to...
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Improving medical experts’ efficiency of misinformation detection: an exploratory study
Fighting medical disinformation in the era of the pandemic is an increasingly important problem. Today, automatic systems for assessing the...
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Counteracting Misinformation in Quotidian Settings
Recent studies investigating misinformation spread have been situated within political contexts and have used psychological and technological...
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Efficient Multivariate Data Fusion for Misinformation Detection During High Impact Events
With the evolution of social media, cyberspace has become the de-facto medium for users to communicate during high-impact events such as natural...
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CovidMis20: COVID-19 Misinformation Detection System on Twitter Tweets Using Deep Learning Models
Online news and information sources are convenient and accessible ways to learn about current issues. For instance, more than 300 million people...
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Personalized multi-faceted trust modeling to determine trust links in social media and its potential for misinformation management
In this paper, we present an approach for predicting trust links between peers in social media, one that is grounded in the artificial intelligence...
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Can the crowd judge truthfulness? A longitudinal study on recent misinformation about COVID-19
Recently, the misinformation problem has been addressed with a crowdsourcing-based approach: to assess the truthfulness of a statement, instead of...
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Misinformation, Disinformation, and Fake News
Rampant misinformation and disinformation on social media culminated in the storming of Capitol Hill on January 6, 2021 by pro-Trump supporters. On...
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Flow of online misinformation during the peak of the COVID-19 pandemic in Italy
The COVID-19 pandemic has impacted on every human activity and, because of the urgency of finding the proper responses to such an unprecedented...
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Professional Identity and Perceived Crisis Severity as Antecedents of Healthcare Professionals’ Responses to Health Misinformation on Social Media
This study aims to determine the extent to which human information agents, such as healthcare professionals, respond to health misinformation on...
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Effects of misinformation diffusion during a pandemic
The role of misinformation diffusion during a pandemic is crucial. An aspect that requires particular attention in the analysis of misinfodemics is...
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Computational Social Science for Policy and Quality of Democracy: Public Opinion, Hate Speech, Misinformation, and Foreign Influence Campaigns
The intersection of social media and politics is yet another realm in which Computational Social Science has a paramount role to play. In this...
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From Sharing Misinformation to Debunking It: How Coordinated Image Text Sharing Behaviour is Used in Political Campaigns on Facebook
This study aims to understand how Coordinated Image Text Sharing Behaviour (CITSB) was used on Facebook during the 2022 Brazilian election, focusing...
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Twitter Analysis of Covid-19 Misinformation in Spain
A graph analysis on the tweets and users networks from a set of curated news was done to study the existing difference in communication patterns...
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Focus on Misinformation: Improving Medical Experts’ Efficiency of Misinformation Detection
Fighting medical disinformation in the era of the global pandemic is an increasingly important problem. As of today, automatic systems for assessing...