2023/10/13 by Diogo Pacheco, Pacheco, Diogo · 2 citations
Computer Science · Social Sciences · #FOS: Computer and information sciences #Misinformation and Its Impacts #Social Media and Politics #Social and Information Networks (cs.SI) #Spam and Phishing Detection
paper · pdf · doi:10.48550/arxiv.2310.09051
openalex publication_date 2023/10/13 · openalex created_date 2023/10/17 · openalex updated_date 2026/07/28
Dataset for the paper "Diogo Pacheco. 2024. Bots, Elections, and Controversies: Twitter Insightsfrom Brazil’s Polarised Elections. In Proceedings of the ACM Web Conference2024 (WWW ’24), May 13–17, 2024, Singapore, Singapore. ACM, New York,NY, USA. https://doi.org/10.1145/3589334.3645651" (arXiv version - https://doi.org/10.48550/arXiv.2310.09051). The dataset spans from August 30, 2018, to March 14, 2023. The period encompasses 1,657 days, and the collection process remained active for 94% of this time. This comprehensive effort resulted in the acquisition of a vast dataset comprising 437 million tweets originating from 13 million distinct accounts. The dataset is composed of CSV files, grouped by year. Each record represents tweets and has: masked 'idstr', masked 'user.idstr', 'timestampms', masked 'retweetedstatus.idstr', masked 'quotedstatus.idstr', masked 'inreplytostatusidstr', and 'botscore' (given by BotometerLite). An example file is given for easy reference. For more details about the data collection, please refer to the paper.