The dataset consists of tweets belonging to #MeToo movement on Twitter, labelled into different categories. Due to Twitter's development policies, we only provide the tweet ID's and corresponding labels, other data can be fetched via Twitter API. The data has been labelled by experts, with the majority taken into the account for deciding the final label. We provide these labels for each of the tweets. Relevance Directed Hate Generalized Hate Sarcasm Allegation Justification Refutation Support Oppose There could be more than one label applicable for a single tweet, for detailed annotation information and usage guidelines please refer to the accompanying paper https://github.com/midas-research/MeTooMA</b
The dataset has three sentiments namely, negative, neutral, and positive. It contains two fields for...
Restricted Dataset for the "Large Scale Crowdsourcing and Characterization of Twitter Abusive Behavi...
Though there are currently no statistics offering a global overview of online hate speech, both soci...
This is a collection of English Tweets about the Citizenship (Amendment) Bill protests that occurr...
This study uses text mining to explore the tweets posted and shared by people regarding the #MeToo m...
In recent years, offensive, abusive and hateful language, sexism, racism and other types of aggressi...
This dataset consists of the IDs of 2,198,090 tweets collected from Western Europe, of which 17,934 ...
Twitter is one of the most compelling platforms in social media that fosters meaningful interactions...
In this paper we present a data visualization platform designed to support the Natural Language Proc...
The dataset represents the Twitter production in Slovenian in the period from 2018 until 2020. It co...
This is the updated dataset for the publication "Large Scale Crowdsourcing and Characterization of T...
Detecting harmful content on social media, such as Twitter, is made difficult by the fact that the s...
Tweets that used the hashtag #metooinceste between 20-27 January 2021THIS DATASET IS ARCHIVED AT DAN...
This thesis contains a program that will process tweets from Twitter that use the hashtag "#MeToo" a...
The zip contains two tables with tweets on #MeToo in English, Spanish and German from the months 201...
The dataset has three sentiments namely, negative, neutral, and positive. It contains two fields for...
Restricted Dataset for the "Large Scale Crowdsourcing and Characterization of Twitter Abusive Behavi...
Though there are currently no statistics offering a global overview of online hate speech, both soci...
This is a collection of English Tweets about the Citizenship (Amendment) Bill protests that occurr...
This study uses text mining to explore the tweets posted and shared by people regarding the #MeToo m...
In recent years, offensive, abusive and hateful language, sexism, racism and other types of aggressi...
This dataset consists of the IDs of 2,198,090 tweets collected from Western Europe, of which 17,934 ...
Twitter is one of the most compelling platforms in social media that fosters meaningful interactions...
In this paper we present a data visualization platform designed to support the Natural Language Proc...
The dataset represents the Twitter production in Slovenian in the period from 2018 until 2020. It co...
This is the updated dataset for the publication "Large Scale Crowdsourcing and Characterization of T...
Detecting harmful content on social media, such as Twitter, is made difficult by the fact that the s...
Tweets that used the hashtag #metooinceste between 20-27 January 2021THIS DATASET IS ARCHIVED AT DAN...
This thesis contains a program that will process tweets from Twitter that use the hashtag "#MeToo" a...
The zip contains two tables with tweets on #MeToo in English, Spanish and German from the months 201...
The dataset has three sentiments namely, negative, neutral, and positive. It contains two fields for...
Restricted Dataset for the "Large Scale Crowdsourcing and Characterization of Twitter Abusive Behavi...
Though there are currently no statistics offering a global overview of online hate speech, both soci...