(apologies for cross posting)
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 CFP can be found at:
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 (scraping) 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
Guest editors:
David Camacho, Universidad Politécnica de Madrid, Madrid, Spain
Ioannis Kompatsiaris, Information Technologies Institute, CERTH,
Thessaloniki, Greece
Paolo Rosso, Universitat Politècnica de València, Valencia, Spain
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