Abstract

Social media platforms have given the opportunity to users to publish content and express their opinions online in a very fast and easy way. The ease of posting content online and the anonymity of social media have increased the amount of harmful content that is published. This tutorial will focus on the detection of harmful information that is published online. In particular, the tutorial will focus on two types of harmful information, fake news and hate speech. The tutorial will start with an introduction of online harmful information including definitions and characteristics of the different types of harmful information. Then we will present and discuss different approaches that have been proposed for fake news and hate speech detection. We will also present details regarding the evaluation process, available datasets and shared evaluation tasks. The tutorial will conclude with a discussion on open issues and future directions in the field of online harmful information detection.