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 "Trust and Believe – Should We? Evaluating the Trustworthiness of Twitter Users" published in "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".

The description of each file is given below:

Manually_labeled-Dataset.csv: This CSV file contains all those Twitter users classified manually as Trusted or Untrusted

Dataset.csv: The dataset consists of different features of 50000 Twitter users (Politicians) without labels.

Screen_name_(1,2,3).txt: 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.