MARTINI: Malicious actors profiling and detection in Online Social Networks through Artificial Intelligence

222N310

The MARTINI Project offers a broad taxonomy of malicious actors in Online Social Networks through meticulous online content analysis and NLP technology. Text is one of the most important instruments in OSNs to share information. The rise of anti-immigrant and anti-vaccination content on OSNs has created a need for joint effort to analyse this situtation. Besides, the amount of information, the different languages that coexist or the specific differences in the use the language that are present in OSNs makes it vital to develop Natural Language Processing models with context and semantic-awareness to tackle this issue.

The project will produce the following outcomes:

• Analysis and characterization of malicious actors in the context of anti-vax and anti-immigration movements
• Development of multimodal models for content characterization
• Development of detection models for malicious actors detection in OSNs
• Development of NLP models for characterizing malicious actors in OSNs:

https://www.chistera.eu/projects/martini

01/12/2022

01/12/2025

€ 866.991,00

€ 21.976,00

Polytechnic University of Madrid, Spain

CHIST-ERA 2021

PROCEEDING

Polytechnic University of Valencia, Spain
Hauts-de-France Polytechnic University, France
Mykolas Romeris University, Lithuania
Yasar University, Türkiye
Tallinn University, Estonia

Prof. (PhD) Mehmet Gökay Özerim