Researchers at Binghamton University’s School of Management are leading new research into the use of artificial intelligence (AI) and blockchain technology to combat misinformation. Led by Thi Tran, assistant professor of management information systems, the study aims to develop tools that can recognize patterns in misinformation and help content creators identify the worst offenders.
Tran hopes that this research will raise awareness about the patterns of misinformation, encouraging people to verify information before sharing it and be more vigilant for discrepancies between headlines and content. The research proposes using machine learning systems, a branch of AI that uses data and algorithms to imitate human learning and improve accuracy over time. These systems would assess the potential harm that content could cause to its audience.
Examples of harmful misinformation include false treatments for COVID-19 that circulated during the pandemic. The framework developed in the research would utilize data and algorithms to identify indicators of misinformation and enhance the detection process. It would also take into account user characteristics, such as prior experience with fake news, to create a harm index reflecting the severity of potential harm to individuals in specific contexts.
According to Tran, the goal is to focus on mitigating the spread of misinformation where it can cause the most harm. By analyzing user characteristics, the machine learning system could determine the likelihood of individuals falling victim to specific misinformation messages. Factors such as educational level and political beliefs play a role in determining trust in misinformation, and the system can use this information to assess the risk.
The research also explores the use of blockchain technology to fight fake news. Tran’s study expands on previous findings by investigating user acceptability of blockchain systems more closely. Blockchain offers traceability, enabling the identification and classification of sources of misinformation, which aids in recognizing patterns.
To gauge user willingness to use blockchain in combating fake news, a survey will be conducted involving two groups: fake news mitigators (government organizations, news outlets, and social network administrators) and content users who could be exposed to fake news messages. The survey will present three existing blockchain systems and assess participants’ preferences in different scenarios.
Tran’s research was recently presented at a conference hosted by SPIE, an international non-profit organization dedicated to advancing light-based research and technologies. The conference included papers on the machine learning-based framework and the use of blockchain.
The research conducted by Tran and his team showcases promising advancements in the battle against misinformation. By harnessing the power of AI and blockchain, they aim to detect and curb the spread of harmful content. As misinformation becomes increasingly prevalent, this research offers innovative solutions to protect individuals from falling victim to false information. With continued development and implementation, these tools have the potential to significantly reduce the impact of misinformation in society.
