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New research explores AI to detect fake news
A Senior Lecturer at the Auckland International Campus is investigating how artificial intelligence can help detect fake news.
Applied Management Senior Lecturer Jimmy Sun collaborated with researchers from Wuhan University, Wuhan Textile University, RMIT University, and the University of North Florida. Their article, A Novel Responsible AI Model for Fusion Fake News Detection, has been published in the highly ranked Journal of Database Management.
The rapid spread of fake news on social media threatens public trust and social stability, according to their article. In response, the authors propose a Responsible AI framework for multimodal fake news detection that combines threat theory with deep learning.
The model introduces two key measures. The first is a User Trust Score, which assesses source credibility based on trustworthiness, expertise, and behavioural consistency. The second is a Responsible News Dissemination Score, which measures how closely content aligns with responsible discourse.
The article notes that global attention on artificial intelligence research has increased significantly in recent years. The latest research has examined the impact of large generative language models such as ChatGPT. At the same time, rapid advances in information technology have contributed to the growth of fake news online, affecting societal structures.
To address this issue, researchers have explored the use of multimodal fusion models to improve fake news detection. By drawing on multiple sources of information, these models aim to increase the accuracy of identifying false content.
The article also highlights how contemporary social media environments are saturated with fake news, worsened by the misuse of technology and what it describes as the “dark side” of AI systems. Responsible AI aims to counter this by promoting transparency, accountability, and ethical decision-making in misinformation detection.
According to the authors, strengthening AI systems in this way can help reduce the negative effects of fake news on public opinion and social trust.
Read the article in the ABDC A-ranked Journal of Database Management here.
