Trust and Believe – Should We? Evaluating the Trustworthiness of Twitter Users

We generated a dataset of 50,000 Twitter users. For each user, we created a unique profile containing 19 attributes. Our dataset contained only users whose tweets are public and have non-zero friends and followers. We used this dataset for our work "<em>Trust and Believe – Should We? Evaluating the Trustworthiness of Twitter Users</em>" published in "<em>4th International Workshop on Cyberspace Security in Conjunction with the IEEE International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom), Guangzhou, China</em>". The description of each file is given below: <strong>Manually_labeled-Dataset.csv:</strong> This CSV file contains all those Twitter users classified manually as Trusted or Untrusted <strong>Dataset.csv: </strong>The dataset consists of different features of 50000 Twitter users (Politicians) without labels. <strong>Screen_name_(1,2,3).txt</strong>: These text files consist of all the Twitter user sreen_names. All of them are politicians. We remove the names of all those politicians whose accounts are private. In addition, all those politicians who have no followers/followings are also removed.