60 datasets found

The FRENK Dataset is a collection of Slovene and English comments annotated for hate speech.

The Wikipedia Hate Speech Dataset is a collection of user comments annotated for hate speech.

The Reddit Hate Detection Dataset is a collection of Reddit comments annotated for hate speech.

The Gab Hate Corpus is a collection of 27k posts annotated for hate speech.

The PEACE dataset is a collection of social media posts and comments annotated for hate speech.

The Reputable News Index (RNIX) dataset consists of retweet cascades linking articles from 28 reputable news publishers.

The Conroversial News Index (CNIX) dataset consists of retweet cascades mentioning articles from 41 online news publishers known for controversial content.

The dataset used in this study contains tweets from 111 user profiles and more than 300,000 tweets.

The dataset used in this paper is a collection of tweets from Anonymous accounts and a random sample of non-Anonymous Twitter users.

Fake news detection task can be defined as a binary classification problem, where each news article can be real (y = 0) or fake (y = 1). The WeChat dataset is collected from...

Hate speech detection has become a hot topic in recent years due to the exponential growth of offensive language in social media.

The dataset used in the paper is a collection of 1.1M tweets from Twitter, with approximately 3000 tweets per user from various domains such as politics, sports, entertainment,...

Sina Weibo dataset contains 226.8 million Weibo posts collected over the full course of 2012.

TuDiabetes Forum: We also collected a dataset from the TuDiabetes forum, a popular diabetes community operated by the Diabetes Hands Foundation.

BGnow dataset is derived from diabetic users who actively share their wellness data on Twitter. TuDiabetes Forum: We also collected a dataset from the TuDiabetes forum, a...

Diabetes Support Group dataset is collected from posts of users who follow and participate in diabetes support groups like “diabeteslife” or “diabetesconnect” on Twitter. BGnow...

This dataset contains news information verified by domain experts (labeled as true or fake) and how the news spreads on Twitter.

A dataset of COVID-19 misinformation detection, focusing on healthcare misinformation.

Twitter Name Tagging (TNT) and Broad Twitter Corpus (BTC) datasets are used for named entity recognition in social media.

The dataset is used for training a model to detect floods from social media reports.