This dataset consists of two corpuses used in the paper "Detecting and analyzing hate speech in Twitter: HaterNet a system in the Spanish prevention of hate crime office". A first one based on tweets collected at different random dates between February 2017 and December 2017 with a final size of 2 million tweets. A second one with 6,000 tweets labeled as described in the paper as hate containing or not
The detection of hate speech in social media is a crucial task. The uncontrolled spread of hate has ...
Current approaches to characterize and detect hate speech focus on content posted in Online Social N...
Abstract With the objective of facilitating and reducing analysis tasks undergone by law enforcement...
Social Media are sensors in the real world that can be used to measure the pulse of societies. Howev...
Social Media are sensors in the real world that can be used to measure the pulse of societies. Howe...
In recent years, the main medium for communication and dissemination of information amongst internet...
University of Minnesota M.S. thesis. May 2020. Major: Computer Science. Advisor: Richard Maclin. 1 c...
As research on hate speech becomes more and more relevant every day, most of it is still focused on ...
Due to the massive rise of users in social media, the presence of verbal abuse, hate speech and bull...
Social media platforms have evolved into an online representation of our social interactions. We may...
Hate speech in the form of racist and sexist remarks are a common occurrence on social media. For th...
This dataset contains 37688 Spanish tweet ids and corresponding annotations for Hate Speech label an...
Social media posts containing hate speech are reproduced and redistributed at an accelerated pace, r...
A plethora of negative behavioural activities have recently been found in social media. Incidents su...
In this paper we present a data visualization platform designed to support the Natural Language Proc...
The detection of hate speech in social media is a crucial task. The uncontrolled spread of hate has ...
Current approaches to characterize and detect hate speech focus on content posted in Online Social N...
Abstract With the objective of facilitating and reducing analysis tasks undergone by law enforcement...
Social Media are sensors in the real world that can be used to measure the pulse of societies. Howev...
Social Media are sensors in the real world that can be used to measure the pulse of societies. Howe...
In recent years, the main medium for communication and dissemination of information amongst internet...
University of Minnesota M.S. thesis. May 2020. Major: Computer Science. Advisor: Richard Maclin. 1 c...
As research on hate speech becomes more and more relevant every day, most of it is still focused on ...
Due to the massive rise of users in social media, the presence of verbal abuse, hate speech and bull...
Social media platforms have evolved into an online representation of our social interactions. We may...
Hate speech in the form of racist and sexist remarks are a common occurrence on social media. For th...
This dataset contains 37688 Spanish tweet ids and corresponding annotations for Hate Speech label an...
Social media posts containing hate speech are reproduced and redistributed at an accelerated pace, r...
A plethora of negative behavioural activities have recently been found in social media. Incidents su...
In this paper we present a data visualization platform designed to support the Natural Language Proc...
The detection of hate speech in social media is a crucial task. The uncontrolled spread of hate has ...
Current approaches to characterize and detect hate speech focus on content posted in Online Social N...
Abstract With the objective of facilitating and reducing analysis tasks undergone by law enforcement...