Latest Articles for Social Media

A study on how YouTube videos spread across Reddit communities.

A project focuses on identifying harmful language in online spaces.

A method to enhance connections between isolated groups in networks.

This study examines how well summarisation models capture diverse opinions.

Introducing hybrid graphs and their significance in understanding complex networks.

New methods improve ADE extraction using social media insights.

AI-generated explanations enhance labeling accuracy for sponsored social media posts.

Research focuses on improving systems to identify and classify online sexism effectively.

Examining user reactions to misleading digital ads and accountability.

This study examines TikTok's role in promoting bike safety to younger audiences.

Examining users with mixed views on vaccines during the pandemic.

New approach improves stance detection accuracy across diverse topics.

Examining how different groups discuss climate change on Twitter.

Learn how temporal query systems improve data analysis across various domains.

Introducing PEACE, a framework to enhance hate speech detection across different online platforms.

A tool to verify the authenticity of social media screenshots.

A new method for labeling nodes efficiently in large graphs.

An analysis of Twitter's role in shaping vaccine discussions in Italy.

A novel prediction market model that gathers insights without needing verified results.

Examining online discussions and misinformation related to the Russia-Ukraine conflict.

A fresh approach improves identification of fake accounts on social media.

Examining changes in vaccine sentiment during the COVID-19 pandemic.

Examining the spread of false information on Parler amid key events.

Analyzing the impact of false information during key events in Chile.

A method to identify rumor sources without needing prior information.

Study examines Romanian tweets to identify vaccine misinformation and public sentiment.

A look into how MTIs help analyze network structures and behaviors.

Exploring how meaning enhances communication methods.

Research explores analyzing Telegram messages for signs of depression.

A look at Twitter data and public feelings for the FIFA World Cup.

Examining social media reactions to the COVID-19 pandemic across Italian regions.

Research combines text and images to better detect hyperbole in social media.

A new framework enhances Twitter bot detection by combining language models and graph techniques.

A new benchmark aims to improve language models for social media communication.

Research on identifying depression signs in social media posts using technology.

Counterspeech challenges harmful online speech while supporting victims and fostering dialogue.

A novel approach to personalized recommendations in decentralized networks.

Research shows combining datasets enhances hate speech detection models.

Study reveals public feelings on cosmetic surgery through social media analysis.

Examining how TikTok videos affect youth attitudes toward sex.