Latest Articles for Social Media

This study reveals how beauty filters affect attractiveness judgments.

A new approach to identify harmful speech in code-mixed Hindi-English videos.

A new method enhances user recommendations by filtering social connections.

This model improves sentiment analysis accuracy and efficiency for online comments.

SCRN offers a reliable way to identify AI-generated content effectively.

A framework that detects anomalies in graphs while promoting fair treatment.

Exploring the role of bots in shaping online interactions and creative output.

A look at how graph contraction improves data analysis in various fields.

A study highlights the focus on WEIRD populations in social computing research.

Explore how to analyze networks with numerical values attached to each node.

A new system for assessing language models using real-world data streams.

Youth mental health problems increase sharply, affecting marginalized groups more severely.

Exploring the complexities of aligning AI systems with diverse human interests.

A dataset to identify propaganda in Arabic memes for better media literacy.

Exploring Twitter interactions of Olympic medalists and their social dynamics.

Exploring how machines detect opinions in social media posts.

Analyzing harmful memes and their effects on society.

Examining Twitter polls and their influence on U.S. presidential elections.

This article presents an effective approach to identifying short paths in complex networks.

A look into how propaganda spreads on Telegram during conflicts.

Exploring methods to protect personal images from AI misuse.

New model enhances the study of changing relationships over time.

A method to enhance the identification of fake news using social media interactions.

The impact of AI and social media on learning and student engagement.

A novel method improves mental health predictions by analyzing social media posts over time.

A multimodal approach improves how highlight moments are identified in live streams.

This study examines biases in AI models during hate speech data labeling.

Analyzing social media stories and their effects on economic trends.

This study proposes a method to measure cultural differences using social media.

This study examines how social networks shape influence and spread information.

MultiSocial dataset aids in detecting machine-generated texts across 22 languages.

This study analyzes the roles of sources in Twitter's Community Notes.

A new framework improves understanding of user engagement and relationships in multiplex networks.

Examining changes in social biases in language models over time.

This paper examines how PageRank adapts to the dynamics of temporal networks.

A new method improves how we assess counter narratives to hate speech.

This study investigates public views on homelessness using social media analysis.

How TikTok shapes user habits around vaping and drinking.

Examining how NFL fans express biases through language during games.

Examining the importance of fairness in sharing information across diverse groups.