Twitter028.7z Apr 2026

It is most commonly associated with the following research context:

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]. 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]. It is most commonly associated with the following

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]. It is frequently referenced in the paper "The

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].

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].