The Information Fusion Journal (Impact Factor 17.564) organises a Special Issue on «Multimodal Fusion Technologies to counter Disinformation». This special issue is devoted to the revision of current and promising new methods, algorithms and technologies that can be used to help tackling the problem of disinformation.
The call for papers can be found here
(https://www.sciencedirect.com/journal/information-fusion/about/call-for-papers),
the submission deadline is June 30th, 2023.
The Topics of Interest include:
- Dis- and Misinformation / Opinion / Knowledge spread and modelling
- Methods and techniques for the generation and identification of fabricated and manipulated content (e.g. deep fakes, fake news, fake audios, fake videos)
- Data knowledge extraction (scrapping) for disinformation
- Technologies for extremism, polarization, and radicalization detection and prevention (e.g. political, religious)
- AI-supported fact checking and detection of disinformation campaigns
- Cybercrime: crime detection and investigation methods and techniques for disinformation
- Real – world case studies and tools against disinformation and misinformation
- Multimodal fusion methods for disinformation detection and analysis
- Multimodal approaches for profiling disinformation spreaders
- Detection and prevention of multimodal content spreading disinformation
- Detection of fake content and disinformation in Online Social Networks
- Multimedia methods for disinformation detection and analysis
- NLP methods for disinformation detection and analysis
- Machine Learning (e.g. Deep Learning) methods for disinformation detection and analysis
- Multimodal detection of conspiracy theories