91 datasets found

Reddit politics and fitness communities

SBIC is a toxic language dataset of social media posts including diverse target groups, primarily reflecting a North American perspective.

The MemeTracker dataset contains the information flows captured by hyper-links between different sites with timestamps.

The Higgs dataset is a public dataset built by monitoring the spreading processes on Twitter before, during and after the announcement of the discovery of a new particle with...

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

Rumor detection on Twitter with Claim-Guided Hierarchical Graph Attention Networks. This paper proposes a novel Claim-guided Hierarchical Graph Attention Network based on...

Rumor detection on Twitter with Claim-Guided Hierarchical Graph Attention Networks. This paper proposes a novel Claim-guided Hierarchical Graph Attention Network based on...

The dataset used in this paper is a collection of short texts, including tweets, Pascal Flickr captions, and search snippets.

The dataset contains 50,000 Twitter users with 19 features, including influence score, tweet credibility, sentiment score, and h-index score.

The dataset used in this study is a collection of Twitter data, containing all relevant tweets published for each stock.

A dataset created by Coppersmith et al. for the Computational Linguistics and Clinical Psychology (CLPsych) 2015 Shared Task.

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

The dataset used in this paper for monitoring Critical Infrastructure Facilities (CIFs) during disasters using Large Language Models (LLMs).

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 dataset used in this paper is a collection of Twitter data, including tweets, retweets, and replies.

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

Dataset of video posts created in the Hindi language over a period of one week on the ShareChat application, capturing both implicit signals (such as video play, and skip) and...

A new dataset for research on fake videos, and a deep learning based approach to identify fake videos with high accuracy using user comments.

The dataset was collected using the scraping library snsscrape (JustAnotherArchivist, 2023). Tweets were sourced from about 400 technology influencers’ feeds published in the...