Research Data Leeds Repository

Headlines data for social media popularity prediction

Citation

Piotrkowicz, Alicja (2017) Headlines data for social media popularity prediction. University of Leeds. [Dataset] https://doi.org/10.5518/174¹

This item is part of the Social Media Popularity Prediction Using Headlines² collection.

Dataset description

This dataset is part of a larger project on using headlines to predict the social media popularity of news articles. The dataset consists of two headlines corpora -- The Guardian and New York Times -- collected in 2014 using news outlet APIs. Each corpus includes a unique headline identifier (to enable recreating the corpus by querying the relevant API), the extracted features (news values, style, metadata), and the corresponding popularity on Twitter and Facebook.

Keywords:	headlines, news values, style, social media popularity, prediction from text
Subjects:	I000 - Computer sciences > I400 - Artificial intelligence > I410 - Speech & natural language processing3
Divisions:	Faculty of Engineering and Physical Sciences > School of Computing4
Related resources:	Location Type https://aaai.org/ocs/index.php/ICWSM/ICWSM17/paper/view/157755 Publication https://eprints.whiterose.ac.uk/115200/6 Publication https://ojs.aaai.org/index.php/ICWSM/article/view/14951/148017 Publication https://eprints.whiterose.ac.uk/115024/8 Publication https://etheses.whiterose.ac.uk/20430/9 Ethesis
License:	Creative Commons Attribution 4.0 International (CC BY 4.0)
Date deposited:	11 May 2017 09:50
URI:	https://archive.researchdata.leeds.ac.uk/id/eprint/14710
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/0000-0002-7723-699X11 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/0000-0002-7001-089112 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.uk13 Last Modified: 13 Dec 2024 10:04

Files

Documentation

Dataset description [120kB] 14 Dataset description [120kB] 15 Dataset description [120kB] 16 Security: Anyone File name: readme.pdf17 Content type: Documentation Mime-Type: application/pdf File size: 120kB

Data

Feature vectors for the main model (The Guardian) [2MB] 18 Feature vectors for the main model (The Guardian) [2MB] 19 Feature vectors for the main model (The Guardian) [2MB] 20 Security: Anyone File name: guardian_main_model.zip21 Content type: Data Description: Headlines from The Guardian with extracted features (news values, style, metadata), divided into training and test sets Mime-Type: application/zip File size: 2MB

Feature vectors for the main model (New York Times) [508kB] 22 Feature vectors for the main model (New York Times) [508kB] 23 Feature vectors for the main model (New York Times) [508kB] 24 Security: Anyone File name: nyt_main_model.zip25 Content type: Data Description: Headlines from New York Times with extracted features (news values, style, metadata), divided into training and test sets Mime-Type: application/zip File size: 508kB

Popularity measures (The Guardian) [663kB] 26 Popularity measures (The Guardian) [663kB] 27 Popularity measures (The Guardian) [663kB] 28 Security: Anyone File name: guardian_popularity_measures.zip29 Content type: Data Description: Headlines from The Guardian with their social media popularity measures, divided into training and test sets Mime-Type: application/zip File size: 663kB

Popularity measures (New York Times) [94kB] 30 Popularity measures (New York Times) [94kB] 31 Popularity measures (New York Times) [94kB] 32 Security: Anyone File name: nyt_popularity_measures.zip33 Content type: Data Description: Headlines from New York Times with their social media popularity measures, divided into training and test sets Mime-Type: application/zip File size: 94kB

Feature vectors for the baseline models (The Guardian) [3MB] 34 Feature vectors for the baseline models (The Guardian) [3MB] 35 Feature vectors for the baseline models (The Guardian) [3MB] 36 Security: Anyone File name: guardian_baseline_models.zip37 Content type: Data Description: Headlines from The Guardian with extracted baselines features, divided into training and test sets Mime-Type: application/zip File size: 3MB

Feature vectors for the baseline models (New York Times) [629kB] 38 Feature vectors for the baseline models (New York Times) [629kB] 39 Feature vectors for the baseline models (New York Times) [629kB] 40 Security: Anyone File name: nyt_baseline_models.zip41 Content type: Data Description: Headlines from New York Times with extracted baselines features, divided into training and test sets Mime-Type: application/zip File size: 629kB

• 1. https://doi.org/10.5518/174
• 2. /view/collections/Social_Media_Popularity_Prediction=A0Using_Headlines.html
• 3. https://archive.researchdata.leeds.ac.uk/view/subjects/I410.html
• 4. https://archive.researchdata.leeds.ac.uk/view/divisions/SC/
• 5. https://aaai.org/ocs/index.php/ICWSM/ICWSM17/paper/view/15775
• 6. https://eprints.whiterose.ac.uk/115200/
• 7. https://ojs.aaai.org/index.php/ICWSM/article/view/14951/14801
• 8. https://eprints.whiterose.ac.uk/115024/
• 9. https://etheses.whiterose.ac.uk/20430/
• 10. https://archive.researchdata.leeds.ac.uk/id/eprint/147
• 11. https://orcid.org/0000-0002-7723-699X
• 12. https://orcid.org/0000-0002-7001-0891
• 13. mailto:scap@leeds.ac.uk
• 14. https://archive.researchdata.leeds.ac.uk/147/7/readme.pdf
• 15. https://archive.researchdata.leeds.ac.uk/147/7/readme.pdf
• 16. https://archive.researchdata.leeds.ac.uk/147/7/readme.pdf
• 17. https://archive.researchdata.leeds.ac.uk/147/7/readme.pdf
• 18. https://archive.researchdata.leeds.ac.uk/147/1/guardian_main_model.zip
• 19. https://archive.researchdata.leeds.ac.uk/147/1/guardian_main_model.zip
• 20. https://archive.researchdata.leeds.ac.uk/147/1/guardian_main_model.zip
• 21. https://archive.researchdata.leeds.ac.uk/147/1/guardian_main_model.zip
• 22. https://archive.researchdata.leeds.ac.uk/147/2/nyt_main_model.zip
• 23. https://archive.researchdata.leeds.ac.uk/147/2/nyt_main_model.zip
• 24. https://archive.researchdata.leeds.ac.uk/147/2/nyt_main_model.zip
• 25. https://archive.researchdata.leeds.ac.uk/147/2/nyt_main_model.zip
• 26. https://archive.researchdata.leeds.ac.uk/147/3/guardian_popularity_measures.zip
• 27. https://archive.researchdata.leeds.ac.uk/147/3/guardian_popularity_measures.zip
• 28. https://archive.researchdata.leeds.ac.uk/147/3/guardian_popularity_measures.zip
• 29. https://archive.researchdata.leeds.ac.uk/147/3/guardian_popularity_measures.zip
• 30. https://archive.researchdata.leeds.ac.uk/147/4/nyt_popularity_measures.zip
• 31. https://archive.researchdata.leeds.ac.uk/147/4/nyt_popularity_measures.zip
• 32. https://archive.researchdata.leeds.ac.uk/147/4/nyt_popularity_measures.zip
• 33. https://archive.researchdata.leeds.ac.uk/147/4/nyt_popularity_measures.zip
• 34. https://archive.researchdata.leeds.ac.uk/147/5/guardian_baseline_models.zip
• 35. https://archive.researchdata.leeds.ac.uk/147/5/guardian_baseline_models.zip
• 36. https://archive.researchdata.leeds.ac.uk/147/5/guardian_baseline_models.zip
• 37. https://archive.researchdata.leeds.ac.uk/147/5/guardian_baseline_models.zip
• 38. https://archive.researchdata.leeds.ac.uk/147/6/nyt_baseline_models.zip
• 39. https://archive.researchdata.leeds.ac.uk/147/6/nyt_baseline_models.zip
• 40. https://archive.researchdata.leeds.ac.uk/147/6/nyt_baseline_models.zip
• 41. https://archive.researchdata.leeds.ac.uk/147/6/nyt_baseline_models.zip