The dataset includes legitimate users and customers of fake follower markets. Please Read Readme.txt file that has an description of each files. The files in the dataset includes the information about

NIAID Data Ecosystem40

africa-social-media-account-takeover

社交媒体欺诈检测

非洲网络安全威胁

该数据集名为“社交媒体账户劫持与平台欺诈（非洲）”，是“非洲网络威胁情报”集合的一部分，由Electric Sheep Africa创建。它是一个合成数据集，专门用于模拟针对非洲用户和组织的社交媒体账户劫持、平台欺诈以及协调的不真实行为。数据集包含10,000条平衡记录（50%攻击，50%合法），所有数据均基于真实世界研究生成（标记为is_synthetic=1）。背景源于非洲社交媒体采用率全球最

Hugging Face2026-05-15 更新10

abdessamad-bourkibate/Scam-Religious-Detection

宗教诈骗检测

社交媒体欺诈检测

--- license: mit task_categories: - text-classification language: - ar tags: - religious-scam - detection - twitter - arabic-nlp pretty_name: Scam Religious Detection Dataset size_categories: - 1B<n<1

Hugging Face2026-03-01 更新50

ABOME: A Multi-platform Data Repository of Artificially Boosted Online Media Entities

社交媒体欺诈检测

黑市虚假增长分析

Motivation The rise of online media has enabled users to choose various unethical and artificial ways of gaining social growth to boost their credibility (number of followers/retweets

Zenodo2021-01-14 更新20

Share of fraudulent Instagram influencers worldwide 2023-2024, by number of followers

资源简介：

相关数据集