no code implementations • 23 Oct 2023 • Dimosthenis Antypas, Asahi Ushio, Francesco Barbieri, Leonardo Neves, Kiamehr Rezaee, Luis Espinosa-Anke, Jiaxin Pei, Jose Camacho-Collados
Despite its relevance, the maturity of NLP for social media pales in comparison with general-purpose models, metrics and benchmarks.
no code implementations • 4 Jul 2023 • Dimosthenis Antypas, Jose Camacho-Collados
The automatic detection of hate speech online is an active research area in NLP.
no code implementations • COLING 2022 • Dimosthenis Antypas, Asahi Ushio, Jose Camacho-Collados, Leonardo Neves, Vítor Silva, Francesco Barbieri
Social media platforms host discussions about a wide variety of topics that arise everyday.
1 code implementation • 29 Jun 2022 • Jose Camacho-Collados, Kiamehr Rezaee, Talayeh Riahi, Asahi Ushio, Daniel Loureiro, Dimosthenis Antypas, Joanne Boisson, Luis Espinosa-Anke, Fangyu Liu, Eugenio Martínez-Cámara, Gonzalo Medina, Thomas Buhrmann, Leonardo Neves, Francesco Barbieri
In this paper we present TweetNLP, an integrated platform for Natural Language Processing (NLP) in social media.
1 code implementation • 1 Feb 2022 • Dimosthenis Antypas, Alun Preece, Jose Camacho-Collados
Social media has become extremely influential when it comes to policy making in modern societies, especially in the western world, where platforms such as Twitter allow users to follow politicians, thus making citizens more involved in political discussion.
1 code implementation • 6 Aug 2021 • David Tuxworth, Dimosthenis Antypas, Luis Espinosa-Anke, Jose Camacho-Collados, Alun Preece, David Rogers
In particular, the analysis in centered on Twitter and disinformation for three European languages: English, French and Spanish.
no code implementations • ACL 2021 • Dimosthenis Antypas, Jose Camacho-Collados, Alun Preece, David Rogers
Social media is often used by individuals and organisations as a platform to spread misinformation.