Latest Articles for Misinformation

Examining how suspended Twitter accounts influenced political discussions and elections.

Examining the quiet spread of misinformation by cyberwarriors online.

Study reveals behaviors and topics among conspiracy users on Twitter in 2022.

This article examines deepfake images, their creation, and detection methods.

A new method enhances detection of deepfakes across various video qualities.

Detecting machine-generated text is crucial for integrity in various fields.

Fin-Fact helps improve financial fact-checking to combat misinformation.

Examining how language models impact fake news and detection biases.

This article discusses the importance and obstacles in fact verification systems.

A look at the challenges of fact-checking online claims.

Examining the role of context in detecting false rumors online.

ProtoExplorer aids forensic experts in effectively analyzing deepfake videos.

A new method improves deepfake generation and addresses misinformation risks.

A study on automated methods to identify conspiracy theories, focusing on Telegram.

Misinformation poses significant risks to companies and their reputations.

This paper outlines methods for detecting misinformation using large language models.

A new method to monitor and predict the spread of online rumors.

A study reveals why users often stick to misinformation spreaders on social media.

This study examines harmful Twitter profiles that spread misleading information.

Researchers aim to detect and prevent AI-generated fake news through style analysis.

Examining the accuracy of health snippets in search engine results.

Exploring factors behind low COVID-19 vaccination rates in Haiti.

An analysis of political discussions and community interactions on Twitter.

A model to enhance health information retrieval and reduce misinformation.

A method to assess trustworthy news sources on Reddit.

Introducing a novel approach to identify misinformation in the digital age.

Leveraging language models to identify false information in news articles.

AFaCTA aids fact-checkers in identifying true and false claims efficiently.

A new model for identifying misleading narratives in media.

A new dataset aims to improve detection of AI-created images.

CFEVER aids automated fact-checking of claims in Chinese using a robust dataset.

Examining the role of offensive tweets in political discussions involving academic articles.

This study tests new methods for fact-checking misinformation in Turkish.

Examining user responses to misinformation and effective correction strategies.

A look into social media's role in shaping public discourse and misinformation.

A new dataset helps improve fake news detection across various platforms.

This study examines vaccine discussions on Twitter across Europe during the COVID-19 pandemic.

Analyzing how personal beliefs shape arguments and perceptions of truth.

Examining public reactions to human vs. AI-generated fake news.

A new system for identifying and classifying online conspiracy theories.