Doctoral Candidate at UNICAEN
DC 6 at UNICAEN
Coming from computational linguistics and philosophy technology, I am interested in how linguistic patterns or styles differ between humans and machines.
Textual online content generated and/or propagated by non-human agents has become an increasingly present phenomenon on social media platforms. When deployed with malicious intent, the behavior of this kind of agent can have impacts that are either directly harmful to people that are targeted by this behavior, for example, through toxic language use, or impacts that are more indirectly harmful, for example, by intervening in political discourse.
With the advent of contemporary large language models, the near future may feature more bots that employ increasingly sophisticated human-like harmful language online. Therefore, being able to detect linguistic patterns and idiosyncrasies will play a role in identifying harmful textual content that is not only spread but also generated by machines.
My research interests include authorship analysis, computational sociolinguistics, and the philosophical issue of what defines and differentiates human, non-human, and hybrid forms of agency. I joined the HYBRIDS project because of its focus on interdisciplinary research, interaction, and collaboration, both in its individual research tracks and at the network level.
ESR6 Individual Project
Detection of toxic bots in Twitter by analysing textual content
In our pursuit of academic excellence, HYBRIDS Doctoral Candidates are guided by a dedicated team of supervisors. Comprising the Main Supervisor, Co-Supervisor, and Inter-sectoral Supervisor, this team of professionals offers a wealth of knowledge, mentorship, and interdisciplinary insights.
Dr. Gaël Dias
University of Caen Normandy (UNICAEN)
Dr. Berta Garcia Orosa
University of Santiago de Compostela (USC)
Dr. José Ramon Pichel
Factoría Software e Multimedia (IMAXIN)
Mr. Ettore Di Cesare