首页/数据集/The False positive problem of automatic bot detection in social science research

The False positive problem of automatic bot detection in social science research

NIAID Data Ecosystem2026-03-13 收录

机器人检测

假阳性分析

数据链接：

https://doi.org/10.7910/DVN/XVCKRS 数据链接链接失效反馈

官方服务：

资源简介：

Data and code for the paper "The False positive problem of automatic bot detection in social science research".

应用场景：

创建时间：

2021-11-07

推荐系统安全

机器人检测

Detection result of random push attacks(with 100 bots) when the target items varies.

NIAID Data Ecosystem60

PEDRo: an Event-based Dataset for Person Detection in Robotics

事件相机视觉

机器人检测

This event-based dataset is specifically designed for person detection in robotics applications.

Zenodo2024-09-10 更新50

Results of tuning the parameters of each model.

机器人检测

行为特征分析

Accurately identifying social bot accounts is the key to preventing the use of artificial intelligence technology to forge social accounts, which can interfere with public opinion and thus cause publi

NIAID Data Ecosystem30

PEth Testing False Positives

酒精检测

假阳性分析

Experts assert that there is no such thing as a false positive DBS PEth test (Dry Blood Spot Phosphatidylethanol). PEth is a biomarker determining alcohol consumption and false positives have caused l

Mendeley Data2024-04-22 更新60

Factors associated with false-positive results in the laboratory diagnosis of norovirus infection using RT-PCR targeting the RdRp gene, as determined by multiple logistic regression analysis.

诺如病毒诊断

假阳性分析

Factors associated with false-positive results in the laboratory diagnosis of norovirus infection using RT-PCR targeting the RdRp gene, as determined by multiple logistic regression analysis.

NIAID Data Ecosystem40

The False positive problem of automatic bot detection in social science research

资源简介：

相关数据集