75 datasets found

The dataset used in this study is a large, industry-annotated dataset that contains over 20,000 blog users.

The dataset is a collection of Twitter tweets, filtered to include only English language tweets. The dataset is used to study out-of-vocabulary (OOV) words in Twitter.

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.

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.

A dataset containing unstructured dialogues extracted from Weibo.

A dataset containing unstructured dialogues extracted from Twitter.

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

The dataset used in the paper is a collection of tweets related to affective polarization, with two scales: aversion against Republicans and aversion against Democrats.

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

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