News Sharing User Behaviour on Twitter: A Comprehensive Data Collection of News Articles and Social Interactions

This dataset includes news articles from US major news outlets and associated sharing activities on Twitter, covering the content of the sharing tweets and details of the users. The dataset is conceived to highlight users’ involvement in the process of news dissemination as we believe that understanding news sharing behaviours can provide further insights on detecting users’ opinions, stance and communities. In particular, we describe a practical usage of our dataset in the context of political stance classification. The original dataset is composed of collections stored in a mongoDB environment. Their schema is described in ".rtf" files. Due to Twitter developers terms we can only provide ids for users and tweets, that can be used to retrieve the original data throught the Twitter API. For additional details please refer to "News Sharing User Behaviour on Twitter: A Comprehensive Data Collection of News Articles and Social Interactions", Brena et al. ICWSM'19 (2019)