The Cyber Intelligence research unit deals with:
- developing innovative Web and Social data collection systems using Big Data technologies;
- studying techniques for identifying fake profiles and Botnets on social networks through Digital DNA, RTBust, Graph based, in order to limit their use and propagation on social networks;
- analyzing malicious phenomena such as fake news, rumors, hoaxes, malware and viruses;
- the implementation of decision support systems for the monitoring and management of catastrophic events (natural or man-made) in order to help the authorities in the early stages of the event (Social Sensing);
- the study of DL (Deep Learning) techniques for the identification of texts containing violent and hate speech (racial, political, etc.) (Hate Speech detection), as well as automatic identification of fake news through the use of DL techniques capable of reporting false news on the basis of the analysis of the textual content of the news, the reputation of the author and the type of social interaction to which the news is subject over time;
- studying the spread of disinformation and the propagation of conspiracy theories on social media through coordinated activities between users (real or false) who try to manipulate the contents to make them appear different from how they are (Coordinated and Inauthentic behavior detection).
Top five Publication
Fagni, T., Falchi, F., Gambini, M., Martella, A., & Tesconi, M. (2021). TweepFake: About detecting deepfake tweets. Plos one, 16(5), e0251415
Tardelli, S., Avvenuti, M., Tesconi, M., & Cresci, S. (2021). Detecting inorganic financial campaigns on Twitter. Information Systems, 101769
Nizzoli, L., Avvenuti, M., Tesconi, M., & Cresci, S. (2020). Geo-semantic-parsing: AI-powered geoparsing by traversing semantic knowledge graphs. Decision Support Systems, 136, 113346
Cresci, S., Di Pietro, R., Petrocchi, M., Spognardi, A., & Tesconi, M. (2017). Social fingerprinting: detection of spambot groups through DNA-inspired behavioral modeling. IEEE Transactions on Dependable and Secure Computing, 15(4), 561-576
Cresci, S., Avvenuti, M., La Polla, M., Meletti, C., & Tesconi, M. (2017). Nowcasting of earthquake consequences using big social data. IEEE Internet Computing
Cyber Intelligence RESEARCH UNIT
