75 datasets found

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...

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.

The Facebook Social Circles dataset contains information about the social connections between users on Facebook.

The dataset contains English tweets from May 2018 to May 2022, used to analyze the diffusion of new emojis on Twitter.

The Reddit Million User Dataset is a collection of 4 million comments from 400k different Reddit users.

The independently posted tweets dataset (henceforth: iPosts) that we used for contradiction detection between independently emerging claim-initiating tweets.

The dataset on which the authors run disagreement reply detection (henceforth: Threads) was converted by us to RTE format based on the threaded conversations labeled in this...

Dialogue systems – often referred to as conversational agents, chatbots, etc. – provide convenient human-machine interfaces and have become increasingly prevalent with the...

A dataset for popularity prediction of social media posts.

A dataset for popularity prediction of social media posts.

A comprehensive ablation study including transfer learning to represent visual semantics with the explainable features concepts, scenes, and objects.

This dataset contains tweets classified as AAE or Mainstream American English (MAE). Tweets were classified using an ML model, and we consider a subset of tweets where the model...

The dataset used in this study has been gathered from the Pushshift Reddit repository, containing archives of the entirety of Reddit posts and comments up to June 2021.

The Elon Musk tweets dataset is a collection of tweets published by Elon Musk between 2017 and 2022.