Published January 16, 2020 | Version 1.0
Dataset Open

ISPON: A New Dataset for Identifying Sources in Political Online News

Authors/Creators

  • 1. George Washington University
  • 2. Alan Turing Institute

Description

This dataset contains a set of annotations for informational news sources (such as eyewitnesses, public officials, academic experts, reports, or other documentation) that provide support for claims made within online political news articles. Our dataset contains fine-grained annotations on the sources cited within each article, including in-text notations highlighting the words or phrases signaling a source. The dataset comprises annotations for nearly 2,500 articles covering 47 outlets. In addition, the dataset includes a larger set of >150,000 URLs from 92 outlets.

Notes

Code for data collection (crawling, extraction, annotation) can be found here: https://github.com/alan-turing-institute/misinformation

Files

ISPON.zip

Files (5.9 MB)

Name Size Download all
md5:f385bf7cb6e4704ed771e5a9aa405993
5.9 MB Preview Download