Cargando…
Exposing influence campaigns in the age of LLMs: a behavioral-based AI approach to detecting state-sponsored trolls
The detection of state-sponsored trolls operating in influence campaigns on social media is a critical and unsolved challenge for the research community, which has significant implications beyond the online realm. To address this challenge, we propose a new AI-based solution that identifies troll ac...
Autores principales: | Ezzeddine, Fatima, Ayoub, Omran, Giordano, Silvia, Nogara, Gianluca, Sbeity, Ihab, Ferrara, Emilio, Luceri, Luca |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10562499/ https://www.ncbi.nlm.nih.gov/pubmed/37822355 http://dx.doi.org/10.1140/epjds/s13688-023-00423-4 |
Ejemplares similares
-
Haters Gonna Hate, Trolls Gonna Troll: The Personality Profile of a Facebook Troll
por: Gylfason, Haukur Freyr, et al.
Publicado: (2021) -
The mouse that trolled
por: Hardy, John
Publicado: (2015) -
Harnessing large language models (LLMs) for candidate gene prioritization and selection
por: Toufiq, Mohammed, et al.
Publicado: (2023) -
To troll or not to troll: Young adults’ anti-social behaviour on social media
por: Soares, Felipe Bonow, et al.
Publicado: (2023) -
The mouse that trolled (again)
por: Cook-Deegan, Robert, et al.
Publicado: (2016)