Examining a hate speech corpus for hate speech detection and popularity prediction

05/12/2018
by   Filip Klubička, et al.
0

As research on hate speech becomes more and more relevant every day, most of it is still focused on hate speech detection. By attempting to replicate a hate speech detection experiment performed on an existing Twitter corpus annotated for hate speech, we highlight some issues that arise from doing research in the field of hate speech, which is essentially still in its infancy. We take a critical look at the training corpus in order to understand its biases, while also using it to venture beyond hate speech detection and investigate whether it can be used to shed light on other facets of research, such as popularity of hate tweets.

READ FULL TEXT

page 1

page 2

page 3

page 4

research
12/09/2019

Analysis of the Ethiopic Twitter Dataset for Abusive Speech in Amharic

In this paper, we present an analysis of the first Ethiopic Twitter Data...
research
12/16/2020

You Are What You Tweet: Profiling Users by Past Tweets to Improve Hate Speech Detection

Hate speech detection research has predominantly focused on purely conte...
research
10/02/2022

Assessing the impact of contextual information in hate speech detection

In recent years, hate speech has gained great relevance in social networ...
research
08/04/2023

Adapting the NICT-JLE Corpus for Disfluency Detection Models

The detection of disfluencies such as hesitations, repetitions and false...
research
04/08/2019

Disfluencies and Human Speech Transcription Errors

This paper explores contexts associated with errors in transcrip-tion of...
research
08/16/2023

Classifying Dementia in the Presence of Depression: A Cross-Corpus Study

Automated dementia screening enables early detection and intervention, r...
research
08/14/2020

Annotating for Hate Speech: The MaNeCo Corpus and Some Input from Critical Discourse Analysis

This paper presents a novel scheme for the annotation of hate speech in ...

Please sign up or login with your details

Forgot password? Click here to reset