60 datasets found

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 CORD-19 dataset contains academic journal articles relating to a variety of coronaviruses and related viral infections, not only COVID-19, sourced from PubMed Central (PMC),...

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.

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

Exploring Amharic sentiment analysis from social media texts: Building annotation tools and classification models

The dataset provided for the competition has social media posts related to COVID-19 and corresponding labels indicating if the social media posts are fake or real.

The Epinions dataset is a large-scale opinion mining dataset. It contains 1 million user-item interactions and is widely used for evaluating the performance of recommender systems.

The dataset is a collection of tweets from architects, designers, engineers, community managers and policy makers interested in media architecture.

Twitter, PHEME, and Weibo are three real social media datasets from Twitter, PHEME, and Weibo.

The Berita dataset consists of 50304 digital Indonesia news articles shared online through Twitter.