Introduction

Whilst Fake News is not a new phenomenon, during the last decades it has become one of the greatest threats to democracy, journalism, and freedom of expression. The rise of social media has been playing a key-role since those platforms enable the creation, the publication and the consumption of news online faster and cheaper. As a result, the huge amount of false information which spread across the population affects our life damaging our health, economy and social environment. From the data mining perspective, the recent advancements in artificial intelligence represent a significant opportunity to leverage modern machine learning techniques to automatically and preventively detect fake news. Thus, we aim to build a end-to-end framework which, leveraging NLP and graph mining techniques, deals with all the steps of the detection process (e.g. detecting check-worthy content, retrieve evidences supporting or confuting facts, mitigate the spreading phenomenon though raising awareness of social users).

Available Theses

• Fact checking
• Multimodal audio-textual analysis

Theses In progress

• Multimodal fake news detection (R.Formisano)

Project & Collaborations

• Prof. Tanmoy Chakraborty, IIT-Delhi

References

• Vincenzo Moscato, Associate Professor (This email address is being protected from spambots. You need JavaScript enabled to view it.)
• Valerio La Gatta, PhD Student (This email address is being protected from spambots. You need JavaScript enabled to view it.)