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Misleading and credible information on Twitter

NIAID Data Ecosystem2026-05-01 收录

社交媒体虚假信息

信任度评估

数据链接：

https://zenodo.org/record/7886641 数据链接链接失效反馈

官方服务：

资源简介：

The file contains an excerpt of the labeled dataset of misleading and non-misleading information on Twitter.

应用场景：

创建时间：

2023-05-03

虚假新闻检测

信任度评估

The dataset contains a list of twenty-seven freely available evaluation datasets for fake news detection analysed according to eleven main characteristics (i.e., news domain, application purpose, type

Figshare2021-03-18 更新110

The Study Of Dangers And Countermeasures Of Fake News In Social Media

社交媒体虚假信息

假新闻检测

Fake news as one of a normal phenomenon all over the world, it exertsa great impact on both individuals and our society. With the popularity of social media, fake news increasingly invades our lives,

NIAID Data Ecosystem50

The effects of an author with a medical credential signature versus no signature, both for the intuitive and informed viewing.

医疗健康传播

信任度评估

The effects of an author with a medical credential signature versus no signature, both for the intuitive and informed viewing.

NIAID Data Ecosystem30

Interrater agreement between the senior rater and any other rater (Overall Agreement) or each of three other raters (Ophthalmology resident, Ophthalmologist, Pharmacology researcher).

信任度评估

眼科药理学交叉研究

The joint judgement is presented as Positive Reporting.

NIAID Data Ecosystem50

Questionnaire items for grouping respondents and the reliability coefficients.