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 …

Towards reliable misinformation mitigation: Generalization, uncertainty, and gpt-4

K Pelrine, A Imouza, C Thibault, M Reksoprodjo… - ar** with media bias
YR Fung, KH Huang, P Nakov, H Ji - Proceedings of the 28th ACM …, 2022 - dl.acm.org
Misinformation is a pressing issue in modern society. It arouses a mixture of anger, distrust,
confusion, and anxiety that cause damage on our daily life judgments and public policy …

Demystifying neural fake news via linguistic feature-based interpretation

A Aich, S Bhattacharya, N Parde - Proceedings of the 29th …, 2022 - aclanthology.org
The spread of fake news can have devastating ramifications, and recent advancements to
neural fake news generators have made it challenging to understand how misinformation …

Assessing political prudence of open-domain chatbots

Y Bang, N Lee, E Ishii, A Madotto, P Fung - arxiv preprint arxiv …, 2021 - arxiv.org
Politically sensitive topics are still a challenge for open-domain chatbots. However, dealing
with politically sensitive content in a responsible, non-partisan, and safe behavior way is …

Human-in-the-loop evaluation for early misinformation detection: A case study of COVID-19 treatments

E Mendes, Y Chen, W Xu, A Ritter - arxiv preprint arxiv:2212.09683, 2022 - arxiv.org
We present a human-in-the-loop evaluation framework for fact-checking novel
misinformation claims and identifying social media messages that support them. Our …

A novel hybrid approach for text encoding: Cognitive attention to syntax model to detect online misinformation

G Faye, W Ouerdane, G Gadek, S Gahbiche… - Data & Knowledge …, 2023 - Elsevier
Most approaches for text encoding rely on the attention mechanism, at the core of the
transformers architecture and large language models. The understanding of this mechanism …

Multi-modal soft prompt-tuning for Chinese Clickbait Detection

Y Wang, Y Zhu, Y Li, L Wei, Y Yuan, J Qiang - Neurocomputing, 2025 - Elsevier
With the rapid growth of Chinese online services, clickbait has proliferated at an
unprecedented rate, designed to manipulate users into clicking for increased traffic or …