We are editing a CRC/Taylor & Francis book entitled *"Combating Fake News
in the Age of Generative AI: Current Trends and Future Challenges."* The
book will be indexed in both Scopus and ISI.
We cordially invite you to contribute a chapter. While the full chapter
will be due later this year, for now, we only require the following:
- Author list
- Chapter title
- Abstract (between 2 and 6 sentences)
The deadline to submit your short abstract directly to *m.lahby@enscasa.ma*
is *September 20, 2024*.
*NB:* Please note, there are no submission or acceptance fees for
manuscripts submitted for publication in this book.
The tentative structure of the book includes, but is not limited to, the
following parts:
*PART 1: Fake news in the Age of GenAI: State-of-the-Art Survey*
- Overview of Generative AI
- Generative AI and Its Impact on Fake News Creation
- Large Language Models (LLMs): From NLP to Generating Misinformation-
- etc
*PART 2: Large Language Models (LLMs)* *for fake news detection*
- LLM-Based Approaches for Fake News Detection
- Leveraging GPT, BERT, and Transformer Models for Identifying Fake News
- Text Classification, Fact-Checking, and Natural Language Understanding
in Fake News Detection
- Etc
*PART 3: **Large Language Models (LLMs)* *for **Fake news prevention*
- LLMs for Early Detection and Prevention of Fake News
- Fake News Prevention Frameworks: AI and Human-in-the-Loop Solutions
- Reducing the Spread of Misinformation Through Predictive LLM Models
- Etc
*PART 4: Feature engineering on Fake News*
- Linguistics, Writing Style and Sentiment Based Features
- Social-Context Based and User' Information Based Features
- Feature Selection, Extraction, Construction and Reduction
- Feature Analysis on Fake News Detection/Prevention
*PART 5: Solutions and frameworks in the practice*
- Benchmark Dataset for Fake News Detection/Prevention
- Real-World System for Fake News Detection/Prevention
- BlockChain Technology on Fake News
- Tracking and aggregating Online Fake News
- Fake News and Social Media
*PART 6: * *LLMs and the Ethical Challenges of Fake News Detection*
- The Dual Role of LLMs: Generating and Detecting Misinformation
- Biases in LLMs: How They Influence Fake News Detection
- Explainable AI (XAI) in LLMs for Ethical Fake News Detection
Looking forward to hearing from you soon. Feel free to share with your
network as well.
Regards
--
*Dr. M.Lahby*
Laboratory of Mathematics and Applications, University Hassan II, Ecole
Normale Supérieure (ENS) Casablanca, Morocco
mlahby@gmail.com
GSM : +212 6 65 29 23 76
In the world of Linux, who needs Windows and Gates
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