35 datasets found

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 paper is a collection of tweets from Anonymous accounts and a random sample of non-Anonymous Twitter users.

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...

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

A social media corpus for detecting depression

The Buzz in Social Media dataset contains information about social media buzz.

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...

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.

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

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

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