Fact-Checking, Fake News & Malware Detection 2021: 2nd International Symposium on Fact-Checking, Fake News and Malware Detection in Online Social Networks (OSNs) Montreal (Canada) and Virtual Conference November 15-17, 2021 |
Conference website | https://csonet-conf.github.io/index.php/track-1/index.html |
Abstract registration deadline | July 10, 2021 |
Submission deadline | July 10, 2021 |
This workshop aims at providing a platform for academic and industrialist researchers and practitioners to exchange and publish the challenges, latest research trends, and results on fact-checking, fake news, and malware detection in online social networks (OSNs).
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2nd International Symposium on Fact-Checking, Fake News and Malware Detection in Online Social Networks (OSNs)
November 15-17, 2021, Montreal, Canada and Virtual Conference - part of CSoNet 2021
https://csonet-conf.github.io/index.php/track-1/index.html
*Submission deadline: July 10, 2021*
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Submission Guidelines
All papers must be original and not simultaneously submitted to another journal or conference.
Submissions must adhere to the following guidelines:
- Papers must be formatted using the LNCS format (ftp://ftp.springernature.com/cs-proceeding/llncs/llncs2e.zip) without altering margins or the font point.
- The maximum length of a regular paper (including references) is 12 pages; 2 pages for an extended abstract.
- Proofs omitted due to space constraints must be placed in an appendix to be read by the program committee members at their discretion.
Submission link: https://easychair.org/conferences/?conf=csonet2021
List of Topics
The topics relevant to this special issue include but are not limited to:
- Techniques for detecting fake news
- Social media and fake news
- Blockchain for fake news detection
- Characterization of fake news
- Automated fact-checking
- Solutions for fact-checking
- Deep learning techniques for fact-checking
- Challenges in fact-checking using AI
- AI for detecting fake news on Social Media
- Techniques for identifying the source of spread of fake news
- Optimization methods for fact-checking ad fake news detection
- Ethical aspects and social media
- Artificial intelligence and its ethical and legal issues
- AI for automated information retrieval
- Different machine learning techniques for fake news detection and fact-checking
- Limitations of automated information retrieval
- Ethical issues in information retrieval
- Effects of social media on the proliferation of fake news
- Techniques and tools for mitigating viral marketing
- Schemes for secure multimedia data sharing on OSNs
- Privacy-preserving co-ownership model for co-owned multimedia data management
- Collaborative privacy management
- Steganalytic software and mechanisms to find hidden information within multimedia data
- Methodologies, techniques, and tools for digital oblivion
- Metadata removal and security
- Malware detection for social networks
- Defense mechanisms against malware propagation in OSNs
- Sybil defense and fake profile detection
- Phishing and spammer detection
- Built-in OSNs security solutions
- Profile-cloning detection
- Secure integration of Cyber-Physical Systems (CPS) with social network
- Secure socio-CPS networks
Committees
Program Committee
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Shiyan Hu, University of Southampton, UK
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Laurence T. Yang, St Francis Xavier University, Canada
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Lidia Ogiela, Pedagogical University in Krakow, Poland
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Alessio Merlo, University of Genova, Italy
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Xinyi Huang, Fujian Normal University, China
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Marek Ogiela, AGH University of Science and Technology, Poland
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Florin Pop, University Politehnica of Bucharest, Romania
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Debiao He, Wuhan University, China
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Francesco Colace, University of Salerno, Italy
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Weizhi Meng, Technical University of Denmark, Denmark
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Christian Esposito, University of Salerno, Italy
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Xiaokang Wang, St Francis Xavier University, Canada
Organizing committee
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Arcangelo Castiglione, University of Salerno, Italy
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B. B. Gupta, National Institute of Technology, Kurukshetra, India
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Xiaojun Chang, Monash University Clayton Campus, Australia
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Marjan Kuchaki Rafsanjani, Shahid Bahonar University of Kerman, Iran
Publication
Fact-Checking, Fake News & Malware Detection 2021 proceedings will be published in Springer Lecture Notes in Computer Science.
Venue
The conference will be held both virtually and in person.
Contact
All questions about submissions should be emailed to Arcangelo Castiglione (arcastiglione@unisa.it)