Latest Articles for Social Media

A study on multilingual Facebook posts related to the Israeli War on Gaza.

Study examines influencer strategies for sponsored content across different countries.

A new method combines text, emotions, and audio for better mental health detection.

A new method improves the realism of animating human images.

Social media shapes how users interact with political content and influences polarization.

Exploring how online imagery shapes our self-perception and connections.

New method quickly produces detailed 3D avatars from single video input.

Researchers propose a new method to classify fake news using deep learning.

A framework to identify misleading videos using traffic patterns.

Examining the divide between elites and the masses in political discussions online.

A method using text and images to better detect fake news.

Research reveals how personality and emotions influence lie detection.

A new method promotes fairness in identifying targeted toxic language across demographic groups.

A new method reveals how to identify coordinated user behaviors on social media.

This article examines how network and identity shape hashtag popularity on Twitter.

Research reveals the prevalence of conspiracy theories on TikTok and its implications.

Study reveals Left users face more toxic replies than Right or Center users.

A study reveals low compliance with advertising disclosures among Dutch influencers.

Examining how TikTok influences Latinx identities and culture.

Learn how knowledge graphs and language models enhance social media data analysis.

This article examines how viral posts influence user attention and engagement over time.

OPAL offers personalized video suggestions based on user interests.

Examining how marginalized groups face censorship on TikTok.

ProtoDep offers clear insights for detecting depression through social media analysis.

A study on the impact of online rumors during the 2022 U.S. midterms.

This article explores how attention shapes news sharing and misinformation spread online.

Our study targets regional identification of Italian tweets using language models.

Introducing a framework that balances privacy and effective social event detection.

Examining the impact of community size on moderation in online platforms.

New method strengthens privacy for shared images and text.

Research focuses on identifying abusive speech in audio recordings across languages.

Explore user interactions on Bluesky Social through the BlueTempNet dataset.

A workshop to discuss how technology can enhance well-being and community.

Using social media narratives to identify signs of mental health issues.

A new framework improves facial editing for realistic changes in images.

BIV-Priv-Seg helps technology developers identify private content in photos shared by BLV individuals.

Examining online discussions about children's welfare across political lines from 2019 to 2023.

A study on the effectiveness of offensive language detection systems and datasets.

Examining privacy threats linked to social connections in digital spaces.

Exploring methods to identify fake news using semi-supervised learning techniques.