This dataset is deprecated. The updated version of this Dataset is here: https://zenodo.org/record/3678559#.Xl9-Ji97FhE Dataset for the publication "Large Scale Crowdsourcing and Characterization of Twitter Abusive Behavior". Antigoni-Maria Founta, Constantinos Djouvas, Despoina Chatzakou, Ilias Leontiadis, Jeremy Blackburn, Gianluca Stringhini, Athena Vakali, Michael Sirivianos and Nicolas Kourtellis. International AAAI Conference on Web and Social Media (ICWSM), 2018. The dataset provided here includes an updated version of the original dataset, with ~100k tweets annotated using the CrowdFlower platform: hatespeech_labels.csv: contains ~100k rows, where every row consists of a unique Tweet ID and its associated majority annotation ...
The here available Twitter data (tweet IDs) was originally collected live, using the official Twitte...
Datasets to train models for abusive language detection are at the same time necessary and still sca...
<p>This file contains a data set of 280 tweets tagged with #PIDC2016 (case not sensitive) that were ...
This is the updated dataset for the publication "Large Scale Crowdsourcing and Characterization of T...
Dataset for the "Large Scale Crowdsourcing and Characterization of Twitter Abusive Behavior" paper, ...
This dataset is invalid. The updated version of this Dataset is here: https://zenodo.org/record/3678...
Restricted Dataset for the "Large Scale Crowdsourcing and Characterization of Twitter Abusive Behavi...
This repository consists of the custom external platform for the annotation process of CrowdFlower, ...
In recent years, offensive, abusive and hateful language, sexism, racism and other types of aggressi...
Disclaimer: This dataset is distributed by Daniel Gayo-Avello, an associate professor at the Departm...
This dataset contains about 870k unlabelled and 1227 labelled collection of tweet ids of several pub...
This is the dataset associated with the paper of the same name. You can find it here: https://arxiv....
This dataset has been created within Project TRACES (more information: https://traces.gate-ai.eu/). ...
Version 158 of the dataset. NOTES: Data for 3/15 - 3/18 was not extracted due to unexpected and unan...
In this paper, we introduce a new English Twitter-based dataset for online abuse and cyberbullying d...
The here available Twitter data (tweet IDs) was originally collected live, using the official Twitte...
Datasets to train models for abusive language detection are at the same time necessary and still sca...
<p>This file contains a data set of 280 tweets tagged with #PIDC2016 (case not sensitive) that were ...
This is the updated dataset for the publication "Large Scale Crowdsourcing and Characterization of T...
Dataset for the "Large Scale Crowdsourcing and Characterization of Twitter Abusive Behavior" paper, ...
This dataset is invalid. The updated version of this Dataset is here: https://zenodo.org/record/3678...
Restricted Dataset for the "Large Scale Crowdsourcing and Characterization of Twitter Abusive Behavi...
This repository consists of the custom external platform for the annotation process of CrowdFlower, ...
In recent years, offensive, abusive and hateful language, sexism, racism and other types of aggressi...
Disclaimer: This dataset is distributed by Daniel Gayo-Avello, an associate professor at the Departm...
This dataset contains about 870k unlabelled and 1227 labelled collection of tweet ids of several pub...
This is the dataset associated with the paper of the same name. You can find it here: https://arxiv....
This dataset has been created within Project TRACES (more information: https://traces.gate-ai.eu/). ...
Version 158 of the dataset. NOTES: Data for 3/15 - 3/18 was not extracted due to unexpected and unan...
In this paper, we introduce a new English Twitter-based dataset for online abuse and cyberbullying d...
The here available Twitter data (tweet IDs) was originally collected live, using the official Twitte...
Datasets to train models for abusive language detection are at the same time necessary and still sca...
<p>This file contains a data set of 280 tweets tagged with #PIDC2016 (case not sensitive) that were ...