A service that tags abusive utterances in any text with the type of abuse (sexist, racist, etc.) and whether the abuse was aimed at the addressee or some other party. This can...

A machine learning classifier trained to categorise text about COVID-19 vaccines into 6 categories - Liberty or Freedom; Development, Provision and Access; Safety, Efficacy...

A machine learning classifier trained to categorise claims about COVID-19 into 10 categories proposed by the Reuters Institute for the Study of Journalism - Public authority...

Classifies short texts such as Wikipedia comments based on whether they contain toxic language

A service that tags abusive utterances in any text with the type of abuse (sexist, racist, etc.) and whether the abuse was aimed at the addressee or some other party. This can...

Service that processes threads of short texts such as tweets or forum postings and attempts to determine the stance (support, deny, question or comment) of each reply towards...

Service that processes threads of short English-language texts such as tweets or forum postings and attempts to determine the stance (support, deny, question or comment) of...

Classifies short texts such as Tweets based on whether they contain offensive language

Service that uses optical character recognition (OCR) to identify text contained within images. This is a multi-lingual service and not restricted to Latin scripts. It works...

Attempts to classify whether a text is hyper-partisan or not. This system won first prize in the Hyperpartisan News Detection task at SemEval 2019

Burstiness, the tendency of interaction events to be heterogeneously distributed in time, is critical to information diffusion in physical and social systems. However, an...

Tracking information diffusion is a non-trivial task and it has been widely studied across different domains and platforms. The advent of social media has led to even more...

Nowadays, Social Media are a privileged channel for news spreading, information exchange, and fact checking. Unexpectedly for many users, automated accounts, known as social...

People involved in mass emergencies increasingly publish information-rich contents in Online Social Networks (OSNs), thus acting as a distributed and resilient network of...

Bots increasingly tamper with political elections and economic discussions. Tracing trends in detection strategies and key suggestions on how to win the fight.

Stance classification can be a powerful tool for understanding whether and which users believe in online rumours. The task aims to automatically predict the stance of replies...

The proliferation of fake news is a current issue that influences a number of important areas of society, such as politics, economy and health. In the Natural Language...

The commercial pressure on media has increasingly dominated the institutional rules of news media, and consequently, more and more sensational and dramatized frames and biases...

Several philosophical issues in connection with computer simulations rely on the assumption that results of simulations are trustworthy. Examples of these include the debate...

This article considers the issue of opacity as a problem for socially consequential mechanisms of classification and ranking, such as spam filters, credit card fraud...