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KES-IDT-22-IS 2022 : KES IDT 2022 Fake News and Information Literacy: Current State, Open Issues and Challenges in Automatic and AI-based Detection, Generation and Analytical Support Systems
KES-IDT-22-IS 2022 : KES IDT 2022 Fake News and Information Literacy: Current State, Open Issues and Challenges in Automatic and AI-based Detection, Generation and Analytical Support Systems

KES-IDT-22-IS 2022 : KES IDT 2022 Fake News and Information Literacy: Current State, Open Issues and Challenges in Automatic and AI-based Detection, Generation and Analytical Support Systems

Rodi
Event Date: June 20, 2022 - June 22, 2022
Submission Deadline: February 26, 2022
Notification of Acceptance: February 28, 2022
Camera Ready Version Due: March 04, 2022




Call for Papers

Title of Session

“Fake News and Information Literacy: Current State, Open Issues and Challenges in Automatic and AI-based Detection, Generation and Analytical Support Systems”

Session Chairs:
Dr. Fiammetta MARULLI, [email protected]
Dr. Lelio CAMPANILE, [email protected]
Dr.Laura VERDE, [email protected]

Dept.of Maths and Physics- Università degli Studi della Campania “Luigi Vanvitelli” – Caserta, Italy


Details of Session:
Effective detection techniques of false or unverified information on the web is a contemporary theoretical and applied research topic, because of the growth of the malicious use of fake news and trolling. Early studies, specially from a computational perspective, are relatively recent and the boundaries of the study matter are often not clearly defined. Anyway, literature provides some main insights related to the type of false information and the detection techniques: besides well-known “fake news”, “rumors” and “blunders” from the web, literature defines also “clickbait”, “social spam” and “fake reviews”. Category mostly depends on sources and type of data used for analysis.
The most promising approaches for false information detection consider the task as a classification problem and focus on using content and context features for classification, but very few rely on systematic sources. The main classification approaches use machine learning and deep learning techniques; the last ones have obtained state-of-the-art results and most recent approaches are focused on exploiting such frameworks to some extent. Finally, a major challenge is the lack of widely accepted benchmark datasets and accepted trusted sources lists. This is fundamental to compare and evaluate the effectiveness of each approach. Currently available resources may not be sufficient for gaining novel insight on relevant properties of false information and building models able to operate in a real world scenario.

This Invited Session aims to call novel contributions and recent advances from the research communities to provide a support in helping to pave the way for a new culture of information, by the means of methodological research for methods and technological instruments for combating cultural misinformation and mitigating the wide and viral spreading of information blunders that causes false knowledge acquisition by social communities and serious and permanent damages in the social behavior of people.
Both methodological and applicative works are welcome to this Session, whose aim is, among the others, the attempt to build an interdisciplinary research group, made of linguistic, communication, statistics, security and computer science, from the international research community, in order to reach the identification of a methodological framework for supporting automatic but effective classification of trusted information sources.
We encourage novel research contribution highlighting outcomes in validation and verification processes and quantitative evaluation metrics for information source ranking.
Artificial Intelligence techniques and methods, joint with advanced statistical methods for multidimensional data analysis and cybersecurity warnings and case studies represent fundamental building blocks.

The topics relevant to this invited session include but are not limited to:
- Misleading Information and Fake News Treatment
- Misleading Information Classification and Domains Taxonomies
- Fake News Detection:
- AI-based Techniques
- Sentiment Analysis-based methods
- Debunking Techniques
- AI and Machine Learning for media content and disinformation analysis
- NLP techniques for Fake News and Misleading information Identification and recognition
- Fact-checking on news based on AI
- Adversarial Attacks based on Fake News Dissemination
- Social Impacts of Fake News Dissemination
- Evaluation Frameworks and Metrics for Misinformation
- AI for generating fake news
- Feature extraction algorithms for content manipulation
- Images, video and speech manipulation recognition
- Case studies and real-world applications (e.g., in social media, healthcare, education, network traffic, etc.)



Deadlines
- February 26, 2022: Deadline for abstract and paper submission
- February 28, 2022: Notification of Acceptance
- March 04, 2022: Camera Ready (hard deadline)
- March 04, 2022: Early registration ends
- June 20-22, 2022: KES-IDT-22 2022 Conference in Rodi, Greece

Paper submission
The Full Papers conference proceedings will be published by Springer as book chapters in a volume of the KES Smart Innovation Systems and Technologies series, submitted for indexing in Scopus and Thomson-Reuters Conference Proceedings Citation Index (CPCI) and the Web of Science.
To submit a paper please follow the procedure described at the KES-IDT-22 website http://idt-22.kesinternational.org/submission.php.


Credits and Sources

[1] KES-IDT-22-IS 2022 : KES IDT 2022 Fake News and Information Literacy: Current State, Open Issues and Challenges in Automatic and AI-based Detection, Generation and Analytical Support Systems


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