Human fact-checkers have specialized domain knowledge that allows them to formulate
precise questions to verify information accuracy. However, this expert-driven approach is …

Fake news poses a significant threat to public opinion and social stability in modern society.
This study presents a comparative evaluation of BERT-like encoder-only models and …

In the current era of social media and generative AI, an ability to automatically assess the
credibility of online social media content is of tremendous importance. Credibility …

The integration of Large Language Models (LLMs) and Vision-Language Models (VLMs)
opens new avenues for addressing complex challenges in multimodal content analysis …

The proliferation of fake news on social media platforms necessitates the development of
reliable datasets for effective fake news detection and veracity analysis. In this article, we …

Fake news poses a significant threat to public opinion and social stability in modern society.
This study presents a comparative evaluation of BERT-like encoder-only models and …

Multimodal fake news detection often involves modelling heterogeneous data sources, such
as vision and language. Existing detection methods typically rely on fusion effectiveness and …

The availability and expansion of social media has made it difficult to distinguish between
fake and real news. Information falsification has exponentially increased as a result of how …

Online social networks, as platforms for personal expression, have evolved into complex
networks integrating political and social dimensions. This evolution has shifted the focus of …

In order to accurately extract and match carbon emission factors from the Chinese textual
building materials list and construct a precise carbon emission factor database, it is crucial to …