Research Data Leeds Repository

Citation

Piotrkowicz, Alicja (2017) Headlines corpora with automatically extracted news values scores. University of Leeds. [Dataset] https://doi.org/10.5518/147

Dataset description

This dataset is part of a larger project on using headlines to predict the social media popularity of news articles. The first stage of the project was to develop methods of automatically extracting news values scores, which offer a new perspective on analysing headlines. The dataset consists of two headlines corpora -- The Guardian and New York Times -- collected in 2014 using news outlet APIs and used to develop the news values extraction methods. Each corpus includes a unique headline identifier (to enable recreating the corpus by querying the relevant API) and news values scores for each headline.

Keywords:	headlines, news values, news
Subjects:	I000 - Computer sciences > I400 - Artificial intelligence > I410 - Speech & natural language processing
Divisions:	Faculty of Engineering and Physical Sciences > School of Computing
Related resources:	Location Type https://eprints.whiterose.ac.uk/110978/ Publication https://www.aclweb.org/anthology/E/E17/E17-4007.pdf Publication https://etheses.whiterose.ac.uk/20430/ Ethesis
License:	Creative Commons Attribution 4.0 International (CC BY 4.0)
Date deposited:	31 Mar 2017 07:55
URI:	https://archive.researchdata.leeds.ac.uk/id/eprint/134
Additional details Additional details Creators or authors: Creators ORCID Other ID Email Primary affiliation Primary affiliation ID Primary affiliation ID type Secondary affiliation Secondary affiliation ID Secondary affiliation ID type Piotrkowicz, Alicja https://orcid.org/0000-0002-7723-699X University of Leeds https://ror.org/024mrxd33 ror Type of data: Dataset Contributors: Contribution Name ORCID Other ID Email Primary affiliation Primary affiliation ID Primary affiliation ID type Secondary affiliation Secondary affiliation ID Secondary affiliation ID type Supervisor Dimitrova, Vania https://orcid.org/0000-0002-7001-0891 University of Leeds https://ror.org/024mrxd33 ror Research funders: EPSRC Grant numbers: Doctoral Training Grant Publication date: 2017 Resource language: English Metadata language: English Publisher: University of Leeds Contact email: scap@leeds.ac.uk Last Modified: 20 Aug 2024 13:27

Files

Documentation

Dataset description [14kB] Dataset description [14kB] Dataset description [14kB] Security: Anyone File name: readme.pdf Content type: Documentation Mime-Type: application/pdf License: Creative Commons Attribution 4.0 International (CC BY 4.0) File size: 14kB

Data

News values (The Guardian) [1MB] News values (The Guardian) [1MB] News values (The Guardian) [1MB] Security: Anyone File name: guardian_newsvalues.csv Content type: Data Description: Headlines from The Guardian with extracted news vales Mime-Type: text/csv License: Creative Commons Attribution 4.0 International (CC BY 4.0) File size: 1MB

News values (New York Times) [452kB] News values (New York Times) [452kB] News values (New York Times) [452kB] Security: Anyone File name: nyt_newsvalues.csv Content type: Data Description: Headlines from New York Times with extracted news vales Mime-Type: text/csv License: Creative Commons Attribution 4.0 International (CC BY 4.0) File size: 452kB