Credibility Assessment

Credibility assessment focuses on evaluating the trustworthiness of information sources and content, aiming to mitigate the spread of misinformation and enhance decision-making across various domains. Current research emphasizes developing robust algorithms, including transformer-based models and other deep learning architectures, to automatically assess credibility using diverse features like textual content, social media metrics, and even visual information. This work is crucial for combating the spread of misinformation online, improving the reliability of information systems, and enhancing the safety and security of applications like autonomous driving and financial forecasting.