at the International Joint Conference on Neural Networks (IJCNN) In conjunction with IEEE World Congress on Computational Intelligence (WCCI), July 2022
Website: https://sites.google.com/diag.uniroma1.it/ai4cdiw/home
Organizers: Irene Amerini, Sapienza University of Rome, Italy David Camacho, Technical University of Madrid, Spain Mauro Conti, University of Padova, Italy Giovanni Da San Martino, University of Padova, Italy Alejandro Martín, Technical University of Madrid, Spain Paolo Rosso, Universitat Politècnica de València , Spain Arkaitz Zubiaga, Queen Mary University of London, UK
*Submission deadline: January 31 2022*
1) Topics of Interest
This special session aims to collect a diverse set of articles about new developments and applications of machine learning and computational intelligence solutions for disinformation detection and diffusion inspection. We encourage submissions that focus on different communication channels and modalities, explainable methods and real-world applications.
- Image and Video Forensics: verification of images and videos, source
identification
- New state of the art dataset for disinformation detection
- Multimodal approach to disinformation detection and information warfare
- Network analysis (bot detection and coordinate behaviors)
- Machine and Deep learning models for disinformation detection
- XAI and Fusion methods for disinformation detection
- Spreading of disinformation in Social Networks
- Success case studies
- Analysis and detection of propaganda
- Fake news, Rumor, Hoaxes detection
- Machine Learning, Natural Language Processing for disinformation
detection and analysis
- Automatic detection of coordinated propaganda campaigns such as the
use of social bots, botnets, seminar users, and Internet water armies
2) Submission Information Please submit your manuscript through the conference main website by following the instructions provided in https://wcci2022.org/submission/ and by selecting "Artificial Intelligence for Countering Disinformation and Information warfare" as a special session when submitting.
3) Information For inquiries concerning this Special Session please feel free to contact us at amerini [at] diag.uniroma1.it -------------- next part -------------- A non-text attachment was scrubbed... Name: not available Type: text/html Size: 2918 bytes Desc: not available URL: <https://mailman.uib.no/public/corpora/attachments/20220113/cb940529/attachment.txt>