Twitter028.7z -

This file is part of a benchmark dataset often cited in studies evaluating bot detection algorithms, such as Botometer (formerly BotOrNot) or similar classifiers [1, 5].

It is most commonly associated with the following research context: twitter028.7z

The archive typically contains JSON-formatted metadata for approximately 28 million tweets or a subset of accounts used to train and test machine learning models for identifying automated behavior [4, 6]. This file is part of a benchmark dataset

The filename refers to a specific compressed data archive used in several academic research papers focused on Twitter bot detection and social media manipulation [2, 3]. Researchers use this specific file to ensure reproducibility

Researchers use this specific file to ensure reproducibility when testing new neural networks or forensic tools against established "gold standard" datasets of known bots [3, 8].

It is frequently referenced in the paper "The DARPA Twitter Bot Challenge" or subsequent studies that used the DARPA 2015 dataset to distinguish between human and bot accounts [2, 7].