Abstract
Natural Language Processing (NLP) is still a challenging problem in most research areas. Rumour propagation, clickbait detection, misinformation, fake news, and authorship attribution have become critical in communication systems and social media. Nowadays, with politicians, influencers, and media, the need for truthful information is the most valuable tool. We address the problems of rumor propagation, clickbait detection, and authorship attribution as three different approaches for detecting Fake news and disinformation, and we propose some novel approaches on deep learning architectures and feature construction.
Seminar by Christian Oliva Moya at ITEFI on March 17, 2022.
Language
Spanish
