Breakdown of Facebook dataset.

NIAID Data Ecosystem2026-03-10 收录

社交媒体传播

假信息分析

数据链接：

https://figshare.com/articles/dataset/Breakdown_of_Facebook_dataset_/5238832 数据链接链接失效反馈

官方服务：

资源简介：

Number of pages, posts, likes, comments, likers, and commenters for science, conspiracy, and debunking pages.

创建时间：

2017-07-25

Data from: Transmissibility of the Ice Bucket Challenge among globally influential celebrities: retrospective cohort study

社交媒体传播

名人效应

Objectives: To estimate the transmissibility of the Ice Bucket Challenge among globally influential celebrities and to identify associated risk factors. Design: Retrospective cohort study. Setting: So

DataONE2014-12-16 更新120

facebook fact checking dataset

虚假新闻检测

社交媒体传播

OverviewThe BuzzFeed dataset, officially known as the BuzzFeed-Webis Fake News Corpus 2016, comprises content from 9 news publishers over a 7-day period close to the 2016 US election. It was created t

Figshare2024-11-11 更新30

Replication Data for "Disinformation creep: ADOS and the strategic weaponization of breaking news"

假信息分析

战略性新闻操纵

Data, code, and related files used to replicate the results in the manuscript, as per The Harvard Kennedy School Misinformation Review's Data Sharing Policy (https://misinforeview.hks.harvard.edu/subm

NIAID Data Ecosystem30

Dataset of Tweets by Chinese and US Mainstream Media before 2023

社交媒体传播

跨国媒体分析

This dataset contains original tweets posted by 3 Chinese media (People's Daily, CGTN Official and Xinhua News) and 3 American media (The New York Times, The Wallstreet Journal and The Washington Post

科学数据银行2024-07-02 更新30

Power to detect differences in citations of tweeted articles.

学术影响力评估

社交媒体传播

Estimated number of tweets required to have found a significant difference in citations (p p 0.05 (in bold) for Web of Science and Google Scholar.

Figshare2024-03-20 更新30