Multimodal Approaches to Detect Fake News on Social Media
In our digital age, social media has permeated every aspect of our daily lives, making it crucial to assess both the benefits and challenges of their rapid and widespread dissemination. The continuous production and spread of information on social media come with challenges and risks, such as the amplification of echo chambers and the pervasive dissemination of false information. Fake news, whether intentionally misleading or inadvertently shared, poses a significant threat, potentially harming all sectors of our society. The reliability of news circulating on social platforms is often questionable and susceptible to various biases, making it difficult to assess the reliability of online published content. In particular, false information can mislead individuals, leading to incorrect beliefs, decisions, or actions, also harming the reputation of citizens, organizations, or businesses. This keynote presents and discusses methodologies aimed at assessing the presence of false information in the main topics discussed by social media users in unimodal and multimodal settings, also fusing textual and visual information contained in social media posts. In particular, we describe in detail a multimodal strategy that provides a comprehensive understanding that goes beyond individual modalities, effectively addressing the multifaceted nature of false information on social media and enhancing the overall effectiveness of strategies aimed at mitigating the spread of false information.
Domenico Talia
Domenico Talia is a full professor of computer engineering at the University of Calabria, Italy and an Honorary Professor at Noida University, India. He is a co-founder of the start-up DtoK Lab. His research interests include Big Data analysis, high-performance computing, parallel and distributed algorithms, Cloud computing, distributed machine learning, social data analysis, and parallel programming models and languages. He has published 9 books and more than 500 papers in archival journals such as Communications of the ACM, IEEE TPDS, IEEE Computer, IEEE TKDE, IEEE TSE, IEEE TSMC-A, IEEE TSMC-B, IEEE Micro, ACM Computing Surveys, FGCS, Parallel Computing, IEEE Internet Computing, and highly reputed conference proceedings. He is a member of the editorial boards of IEEE Transactions on Parallel and Distributed Systems, IEEE Computer, ACM Computing Surveys, the Future Generation Computer Systems journal, and other archival journals. He was guest editor of special issues of IEEE Transactions on Software Engineering, Parallel Computing, IEEE Transactions on Big Data, and Future Generation Computer Systems, and served as a program chair or program committee member of several international conferences. He is a Senior member of the Association for Computing Machinery (ACM) and the IEEE Computer Society.