EphemeralAstroturfing

本数据集名为EphemeralAstroturfing，由印第安纳大学布卢明顿分校的Tuğrulcan Elmas创建，包含212,916条关于Twitter机器人的数据。该数据集主要用于分析针对土耳其Twitter趋势的攻击行为和暂停模式。数据集内容包括机器人的活动和暂停模式，以及它们如何影响Twitter趋势。创建过程涉及实时收集和分析Twitter数据，以揭示平台内容审核实践和机器人检测研究。应用领域主要集中在社交媒体的机器人检测和内容审核策略研究，旨在解决虚假趋势和信息操纵问题。

This dataset, named EphemeralAstroturfing, was created by Tuğrulcan Elmas from Indiana University Bloomington, and contains 212,916 records of Twitter bot-related data. Its primary use case is to analyze adversarial activities targeting Turkish Twitter trends and associated suspension patterns. The dataset covers bots' operational activities and their suspension patterns, alongside the impacts these bots exert on Twitter trending topics. The creation process involved real-time collection and analysis of Twitter data, aiming to unveil platform content moderation practices and advance bot detection research. Its application domains mainly focus on social media bot detection and content moderation strategy research, with the goal of addressing issues such as fake trending topics and information manipulation.