Latest Articles for Social Media

A new system helps users find mental health groups more easily online.

A new method predicts how information spreads on WeChat and Weibo.

New methods improve efficiency in clustering large datasets for better insights.

Combining audio, video, and text enhances detection of hate speech.

Efforts to detect and address sexism on social media platforms.

Exploring a new method for improving personalized recommendations using causal reasoning.

A study on the impact of echo chambers and polarization in online discussions.

A look at influence maximization through hypergraphs and the HCI-TM algorithm.

Analyzing how expanding awards influenced user interactions and monetization.

Study examines methods for detecting unusual patterns in social media behavior.

A look into the factors shaping our content-sharing choices online.

A study analyzes social media reactions to COVID-19 vaccines in South Africa.

A competition focused on identifying conspiracy theories in Telegram comments.

This study presents methods for detecting fake news in the Bengali language.

The MEGA framework offers solutions against misinformation during pandemics.

A new approach to detect and reduce hate speech online.

CIDER improves sentiment analysis by focusing on context in short texts.

A new method for pinpointing influencers in evolving marketing networks.

Exploring the impact of language models on sentiment analysis of user-generated content.

A new method enhances hate speech detection by combining text, images, and discussion context.

A new method improves the conversion of photos into detailed sketches.

Research analyzes Twitter data to understand autism communication patterns.

Examining the impact of lurkers in online political discussions.

Exploring how futurists shape thoughts about the future through language on Twitter.

Learn how to enhance recommender systems for increased user satisfaction and retention.

RetouchingFFHQ dataset enhances face retouching detection methods.

This article examines how social media influences opinion change and dynamics.

MythQA detects false claims in social media to support accurate information.

Examining how online interactions shape polarized opinions in digital debates.

Introducing friction can enhance content quality shared on social platforms.

InFusion simplifies video editing using text prompts for efficient results.

A new dataset aims to improve hate speech detection on social media.

A model to effectively identify and combat the spread of fake news.

A new tool uses social media to monitor medication-related incidents.

RBE combines rules and deep learning for effective hate speech detection.

Using deep learning to detect hate speech on social media.

Understanding how social media shapes perceptions of information reliability.

A study on user awareness and effectiveness of YouTube's recommendation features.

This article reviews LLMs' potential in predicting mental health issues from online text.

This article presents a new model for better video recommendations based on user scrolling habits.