NaCTeM

1st Workshop on Misinformation Detection in the Era of LLMs - Presentation slides now available

2025-07-08

Introduction

With the rise of social media such as X, Facebook, and Weibo, an increasing number of people are browsing information online. The latest statistics show that active social media user identities have passed the 5 billion mark, with the latest user figure equivalent to 62.3 percent of the world's population. However, due to the negligence of online regulation, the internet is flooded with a large amount of misinformation, including fake news, rumors, and conspiracy theories (latest examples like Facebook and Instagram get rid of fact-checkers). Such false pieces of information, or misleading combinations of factual information to support unwarranted conclusions, lead people to believe in unreal content, drive public opinion, and pose serious harm to society, the economy, and politics. Furthermore, the latest advances in Artificial Intelligence (AI) and large language models (LLMs) such as ChatGPT and GPT-4 have made it easier to generate seemingly persuasive false information. Therefore, there is an urgent global need for methods that can effectively detect erroneous and misleading information.

LLMs have significantly advanced the field of misinformation detection by enhancing the efficiency and accuracy of predictive models. However, using LLMs for misinformation detection still faces many challenges, including scalability, bias, contextual understanding, interpretability, and adaptability to new types of fake content. Also, they can be used to generate convincingly fake content on a large scale. Furthermore, given known issues with hallucination in LLMs, there is a need for consideration of how much automation is feasible.

This workshop, held on 23rd June 2025, explored the potential of LLMs to address such complex mis/disinformation detection issues and its implications for content moderation systems. The workshop will facilitate discussions on the current state and future directions of NLP techniques in misinformation detection and understanding, and drive the development of comprehensive frameworks that address the multifaceted nature of misinformation detection challenges.

Presentation slides from the workshop are now available on the workshop website shown below.

More information...
https://sites.google.com/view/misd-2025/home



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