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Short is the Road that Leads from Fear to Hate: Fear Speech in Indian WhatsApp Groups

WhatsApp is the most popular messaging app in the world. Due to its popularity, WhatsApp has become a powerful and cheap tool for political campaigning being widely used during the 2019 Indian general election, where it was used to connect to the …

HateXplain: A Benchmark Dataset for Explainable Hate Speech Detection

Hate speech is a challenging issue plaguing the online social media. While better models for hate speech detection are continuously being developed, there is little research on the bias and interpretability aspects of hate speech. In this paper, we …

Comparison Between Traditional Machine Learning Models And Neural Network Models For Vietnamese Hate Speech Detection

Hate-speech detection on social network language has become one of the main researching fields recently due to the spreading of social networks like Facebook and Twitter. In Vietnam, the threat of offensive and harassment cause bad impacts for online …

Interaction dynamics between hate and counter users on Twitter

Social media platforms usually tackle the proliferation of hate speech by blocking/suspending the message or account. One of the major drawback of such measures is the restriction of free speech. In this paper, we investigate the interaction of …

A benchmark dataset for learning to intervene in online hate speech

Countering online hate speech is a critical yet challenging task, but one which can be aided by the use of Natural Language Processing (NLP) techniques. Previous research has primarily focused on the development of NLP methods to automatically and …

Differentiating hate speech: a systemic discrimination approach

In this paper I develop a systemic discrimination approach to defining a narrowly construed category of hate speech, as speech that harms to a sufficient degree to warrant government regulation. This is important due to the lack of definitional …

Hate Speech Detection on Vietnamese Social Media Text using the Bi-GRU-LSTM-CNN Model

In recent years, Hate Speech Detection has become one of the interesting fields in natural language processing or computational linguistics. In this paper, we present the description of our system to solve this problem at the VLSP shared task 2019: …

Hate speech detection: A solved problem? the challenging case of long tail on twitter

In recent years, the increasing propagation of hate speech on social media and the urgent need for effective counter-measures have drawn significant investment from governments, companies, and researchers. A large number of methods have been …

Hate speech on social media networks: towards a regulatory framework?

Social networks serve as effective platforms in which users ideas can be spread in an easy and efficient manner. However, those ideas can be hateful and harmful, some of which may even amount to hate speech. YouTube, Facebook and Twitter have …

HateMonitors: Language Agnostic Abuse Detection in Social Media

Reducing hateful and offensive content in online social media pose a dual problem for the moderators. On the one hand, rigid censorship on social media cannot be imposed. On the other, the free flow of such content cannot be allowed. Hence, we …