DOI: 10.5281/zenodo.14989797
title: Polyamory in the News Corpus (POLYNEWS)

description: Data description

The POLYNEWS corpus contains metadata and vocabulary counts for all press news articles mentioning polyamory published in English-language sources between 1994 and 2023, both included.

Data format: Annotated (.csv)Type of data: Table

Data collection

This dataset comprises worldwide English-language press news mentioning polyamory. The data were collected in early 2024 to cover the 1994–2023 period.

The data for this study were collected from the English-language news sources covered by the database Factiva (Dow Jonex & Co., 2025), using the following parameters:




parameter
value




Search query



la=en AND rst=tnwp AND (polyamory OR polyamorous OR polyamorist OR poly-amory OR poly-amorous OR poly-amorist)





Date



All Dates





Source



All Sources





Author  



All Authors





Company



All Companies





Subject



All Subjects





Industry



All Industries





Region 



All Regions





Language



English





Duplicates



Off





The search yielded 9228 results as of 1 January 2024.

Data source location

http://www.factiva.com/

Data accessibility

Repository name: POLYNEWSData identification number: 10.5281/zenodo.14989797

Data format

The dataset is supplied as three files:



polynews_articles.csv, containing article-level data

polynews_publications.csv, containing publication-level data

polynews_terms.csv, containing term-level data


Article data

The format of the article data file is as follows:




field
content
type




id



unique ID assigned by Factiva to the article



string





headline



text of the article headline



string





authors



list of authors, as automatically parsed



Python list





authors_clean



list of authors, manually cleaned up



Python list





date



time and date of publication



date in ISO8601 format





publication_id



unique ID assigned by Factiva to the publication where the article appeared



string





section



original description of the section where the article was published



string





extra_columns



additional unparsed data in the Factiva record



Python list





wordcount



length of the article in words as reported by Factiva



integer





wordcount_actual



length of the article in words as measured by tokenizer



integer





frequencies



list of terms in the article with their frequencies



Python Counter





Publication data

The format of the publication data file is as follows:




field
content
type




publication_id



unique ID assigned by Factiva to the publication



string





wikidata_id



unique ID assigned by Wikidata to the publication



string





publication_title



full title, uniquely disambiguated if necessary



string





country



country of publication



string





medium



medium of publication



string: print, online





issn



ISSN for the publication, where available



string





frequency



frequency of appearance



string





type



broad classification of newspaper type



string: broadsheet, tabloid, local, business





Term data

The format of the term data file is as follows:




field
content
type




term



word type, as parsed by the Penn Treebank tokeniser



string





count



number of occurrences of term in the corpus



integer





log_ratio



binary log of the ratio of relative frequencies of the term against the SIBOL corpus



floating point number





log_likelihood



Dunning's log likelihood of the term against the SIBOL corpus



floating point number