26 datasets found

The Clickbait Challenge 2017 dataset, a collection of social media posts and their corresponding article titles, used for clickbait detection.

The FHM dataset, a multimodal framework for detecting hateful memes on social media.

The dataset used in the paper for harmful meme detection, consisting of three meme datasets: Harm-C, Harm-P, and FHM.

A dataset of annotated news articles and social media posts for frame classification.

The dataset used in the paper for tweet-level judgement classification of rumours in social media.

This dataset contains social media posts and network camera data collected during Hurricane Irma in 2017.

The dataset is a multilingual offensive language identification dataset for social media, containing posts from Arabic, Danish, English, Greek, and Turkish.

The dataset used in this paper is a retweet cascade about a Gaming Youtube video.

The dataset analyzed in this study comprises threads and comments from the sarcoidosis forum on the social media platform Reddit.

A large-scale dataset of social media photos crawled from Flickr, used for person recognition task in social media setup

The dataset contains microaggressions in the form of social media posts.

Location dataset contains 446 binary attributes, representing whether the user visited a certain region or location type.

Stanceosaurus is a new corpus of 28,033 tweets in English, Hindi, and Arabic annotated with stance towards 251 misinformation claims.

The Twitter Dataset is a collection of tweets annotated with Plutchik's emotions, consisting of tweets in three different languages: English, Dutch, and German.

The Toxic Comment Classification Challenge dataset contains comments from Wikipedia organized in six classes: toxic, severe toxic, obscene, threat, insult, and identity hate.

The Hate Speech Tweets dataset contains over 24,000 English tweets labeled as non-offensive, hate speech, and profanity.

The Offensive Language Identification Dataset (OLID) is a large collection of English tweets annotated for offensive language use, following a three-level hierarchical schema...

A multimodal repository for COVID-19 news credibility research, providing textual, visual, temporal, and network information regarding news content and how news spreads on...

The dataset used in this paper is a collection of social media data from Twitter, including user profiles, follow links, and tweets.

Cascades datasets constructed in a recursive manner, including Cascades – PAP News Dataset and Cascades – BBC News Dataset.