Combating misinformation in the age of llms: Opportunities and challenges

C Chen, K Shu - AI Magazine, 2024 - Wiley Online Library
Misinformation such as fake news and rumors is a serious threat for information ecosystems
and public trust. The emergence of large language models (LLMs) has great potential to …

Domain specialization as the key to make large language models disruptive: A comprehensive survey

C Ling, X Zhao, J Lu, C Deng, C Zheng, J Wang… - arXiv preprint arXiv …, 2023 - arxiv.org
Large language models (LLMs) have significantly advanced the field of natural language
processing (NLP), providing a highly useful, task-agnostic foundation for a wide range of …

Beneath the surface: Unveiling harmful memes with multimodal reasoning distilled from large language models

H Lin, Z Luo, J Ma, L Chen - arXiv preprint arXiv:2312.05434, 2023 - arxiv.org
The age of social media is rife with memes. Understanding and detecting harmful memes
pose a significant challenge due to their implicit meaning that is not explicitly conveyed …

Fake artificial intelligence generated contents (faigc): A survey of theories, detection methods, and opportunities

X Yu, Y Wang, Y Chen, Z Tao, D Xi, S Song… - arXiv preprint arXiv …, 2024 - arxiv.org
In recent years, generative artificial intelligence models, represented by Large Language
Models (LLMs) and Diffusion Models (DMs), have revolutionized content production …

Prompt-and-align: prompt-based social alignment for few-shot fake news detection

J Wu, S Li, A Deng, M Xiong, B Hooi - Proceedings of the 32nd ACM …, 2023 - dl.acm.org
Despite considerable advances in automated fake news detection, due to the timely nature
of news, it remains a critical open question how to effectively predict the veracity of news …

Goat-bench: Safety insights to large multimodal models through meme-based social abuse

H Lin, Z Luo, B Wang, R Yang, J Ma - arXiv preprint arXiv:2401.01523, 2024 - arxiv.org
The exponential growth of social media has profoundly transformed how information is
created, disseminated, and absorbed, exceeding any precedent in the digital age …

Multi-modal misinformation detection: Approaches, challenges and opportunities

S Abdali, S Shaham, B Krishnamachari - ACM Computing Surveys, 2024 - dl.acm.org
As social media platforms evolve from text-based forums into multi-modal environments, the
nature of misinformation in social media is also transforming accordingly. Taking advantage …

HQP: a human-annotated dataset for detecting online propaganda

A Maarouf, D Bär, D Geissler, S Feuerriegel - arXiv preprint arXiv …, 2023 - arxiv.org
Online propaganda poses a severe threat to the integrity of societies. However, existing
datasets for detecting online propaganda have a key limitation: they were annotated using …

Towards explainable harmful meme detection through multimodal debate between large language models

H Lin, Z Luo, W Gao, J Ma, B Wang… - Proceedings of the ACM on …, 2024 - dl.acm.org
The age of social media is flooded with Internet memes, necessitating a clear grasp and
effective identification of harmful ones. This task presents a significant challenge due to the …

EvolveDetector: Towards an evolving fake news detector for emerging events with continual knowledge accumulation and transfer

Y Ding, B Guo, Y Liu, Y Jing, M Yin, N Li… - Information Processing …, 2025 - Elsevier
The prevalence of fake news on social media poses devastating and wide-ranging threats to
political beliefs, economic activities, and public health. Due to the continuous emergence of …