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ZENODO
Dataset . 2019
License: CC BY
Data sources: Datacite
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Dataset . 2019
License: CC BY
Data sources: ZENODO
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Dataset . 2019
License: CC BY
Data sources: Datacite
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Proppy Corpus 1.0

Authors: Barrón-Cedeño, Alberto; Israa Jaradat; Martino, Giovanni Da San; Preslav Nakov;

Proppy Corpus 1.0

Abstract

# Proppy Corpus 1.0 Version 1.0: March 25, 2019 --------------------------- This file describes the corpus Proppy 1.0. This is the corpus used in the paper "Proppy: Organizing the News Based on Their Propagandistic Content" (see citation section). The corpus contains 52k articles from 100+ news outlets. Each article is labeled as either “propagandistic” (positive class) or “non-propagandistic” (negative class). The labeling was done indirectly using a technique known as distant supervision, i.e. an article is considered propagandistic if it comes from a news outlet that has been labeled as propagandistic by human annotators. ## Data format We provide the corpus in three tsv files, including training, development, and testing partitions. The data is tab-separated. Each line represents one article, with the following information: 1. article_text: the text of the article retrieved via newspaper3k package. 2. event_location: the geographical location - collected from GDELT. 3. average_tone: measures the impact of the event - collected from GDELT 4. article_date: article's publish date - collected from GDELT. 5. article_ID: GDELT ID , unique among the dataset's articles. 6. article_URL: the direct URL for the published article in its source website. 7. MBFC_factuality_label: factuality label for the source from MBFC 8. article_URL 9. MBFC_factuality_label 10. URL_to_MBFC_page 11. source_name 12. MBFC_notes_about_source 13. MBFC_bias_label 14. source_URL 15. propaganda_label ## About The corpus was downloaded using MBFC metadata to identify propagandistic vs non-propagandistic sources. Specific URLs where then gathered with GDELT and contents downloaded with newspaper3k ## Credit Please cite the following paper when using this corpus: A. Barrón-Cedeño, G. Da San Martino, I. Jaradat, and P. Nakov. Proppy: Organizing news coverage on the basis of their propagandistic content. Information Processing and Management 56(5), pp. 1849-1864. 2019 @article{BARRONCEDENO20191849, author = "Barr\'{o}n-Cede\~no, Alberto and Da San Martino, Giovanni and Jaradat, Israa and Nakov, Preslav", title = "{Proppy: Organizing the news based on their propagandistic content}", journal = "Information Processing & Management", volume = "56", number = "5", pages = "1849 - 1864", year = "2019", issn = "0306-4573", doi = "https://doi.org/10.1016/j.ipm.2019.03.005", url = "http://www.sciencedirect.com/science/article/pii/S0306457318306058", } ## Authors Alberto Barrón-Cedeno; Israa Jaradat; Giovani Da San Martino; Preslav Nakov

Keywords

propaganda detection, news bias, investigative journalism

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    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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download
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
OpenAIRE UsageCountsViews provided by UsageCounts
downloads
OpenAIRE UsageCountsDownloads provided by UsageCounts
0
Average
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167
298