"Evaluating the Efficacy of Machine Learning Models in Detecting Social Media Bots: An Analysis Using Publicly Available Datasets"
收藏DataCite Commons2025-12-27 更新2026-05-03 收录
下载链接:
https://ieee-dataport.org/documents/evaluating-efficacy-machine-learning-models-detecting-social-media-bots-analysis-using
下载链接
链接失效反馈官方服务:
资源简介:
"This capsule presents an analysis of social media bots using all machine learning models. publicly available Vkontakt data sets were processed and analyzed with python Jupyter lab environment. the study evaluates the performance of different models and ensemble hybrid model in detecting automated accounts, providing reproductible code, data, and models for future research ."
本研究简报针对社交媒体机器人(social media bots)展开分析,采用各类机器学习模型开展相关研究。本研究借助Python Jupyter Lab环境,对公开可用的VKontakte数据集进行了处理与分析。本研究评估了不同模型及集成混合模型在自动化账号检测任务中的性能,并为后续研究提供了可复现的代码、数据集与模型。
提供机构:
IEEE DataPort
创建时间:
2025-12-27



