Social Media

Multi-dimensional Classification on Social Media Data for Detailed Reporting with Large Language Models

Every day, more and more people harness the power of social media platforms to express their thoughts, share information and personal experiences, and engage with others. All this knowledge can then be transformed into informative reports with the …

Unmasking COVID-19 False Information on Twitter: a Topic-based Approach with BERT

Every day, many people use social media platforms to share information, thoughts, narratives and personal experiences. The vast volume of user-generated content offers valuable insights into the latest news and trends but also poses serious …

Topic Detection and Tracking in Social Media Platforms

The large amount of information available on the Web can be effectively exploited in several domains, ranging from opinion mining to the analysis of human dynamics and behaviors. Specifically, it can be leveraged to keep up with the latest news …

Learning sentence-to-hashtags semantic mapping for hashtag recommendation on microblogs

The growing use of microblogging platforms is generating a huge amount of posts that need effective methods to be classified and searched. In Twitter and other social media platforms, hashtags are exploited by users to facilitate the search, …