repeal_the_8th_data

Anonymised Twitter data for the online discussion on the Irish abortion referendum of 2018.

https://github.com/caroline-pena/repeal_the_8th_data

Science Score: 67.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • CITATION.cff file
    Found CITATION.cff file
  • codemeta.json file
    Found codemeta.json file
  • .zenodo.json file
    Found .zenodo.json file
  • DOI references
    Found 1 DOI reference(s) in README
  • Academic publication links
    Links to: arxiv.org
  • Academic email domains
  • Institutional organization owner
  • JOSS paper metadata
  • Scientific vocabulary similarity
    Low similarity (8.1%) to scientific vocabulary
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Repository

Anonymised Twitter data for the online discussion on the Irish abortion referendum of 2018.

Basic Info
  • Host: GitHub
  • Owner: caroline-pena
  • Default Branch: main
  • Size: 35.6 MB
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Created over 2 years ago · Last pushed 10 months ago
Metadata Files
Readme Citation

README.md

Finding Polarised Communities and Tracking Information Diffusion on Twitter: A Network Approach on the Irish Abortion Referendum

This repository contains the data files used in the analysis for the paper Finding Polarised Communities and Tracking Information Diffusion on Twitter: A Network Approach on the Irish Abortion Referendum. The paper is published in the Royal Society Open Science.

File description

The file RT8_mentions_anonymised.csv contains every mention in the full dataset.

The file RT8_communities_anonymised.csv contains the community membership of users in the mutual mentions network.

The file RT8_cascade_anonymised.csv contains unique IDs to identify every same text in the full dataset.

The file RT8_tweet_ID.csv contains every tweet ID gathered for the study. This allows one to retrieve the original tweets using the Twitter API.

File structure

The file RT8_mentions_anonymised.csv contains three columns: - from: the user (pseudo-anonymised) who sends the tweet. - to: the user (pseudo-anonymised) who receives (is mentioned in) the tweet. - sentiment: the sentiment score of the text in the tweet obtained with AFINN[1].

The file RT8_communities_anonymised.csv contains two columns: - user: a user (pseudo-anonymised) in the mutual mentions network, as described in the paper. The user IDs here match the ones in RT8_mentions_anonymised.csv. - membership: the user's community membership obtained with the weighted Louvain[2] algorithm.

The file RT8_cascade_anonymised.csv contains three columns: - user: the user (pseudo-anonymised) that posts the tweet. The user IDs here match the ones in RT8_mentions_anonymised.csv. - created_at: the date and time when the tweet was posted. - retweet_id: the ID of the text (equal texts contain same ID).

The file RT8_tweet_ID.csv contains a single column with the tweet IDs gathered for the study, which allows for the original tweets to be gathered using the Twitter API.

Reference

[1] Nielsen FÅ. A new ANEW: Evaluation of a word list for sentiment analysis in microblogs. arXiv preprint arXiv:11032903. 2011.

[2] Blondel VD, Guillaume JL, Lambiotte R, Lefebvre E. Fast unfolding of communities in large networks. Journal of statistical mechanics: theory and experiment. 2008;2008(10):P10008

Owner

  • Login: caroline-pena
  • Kind: user

Citation (CITATION.cff)

cff-version: 1.1.1
message: "If you use this data, please cite it as below."
authors:
  - family-names: "Pena"
    given-names: "Caroline"
    orcid: "https://orcid.org/0009-0007-2329-8638"
  - family-names: "MacCarron"
    given-names: "Padraig"
    orcid: "https://orcid.org/0000-0002-5163-9264"
  - family-names: "J.P. O'Sullivan"
    given-names: "David"
    orcid: "https://orcid.org/0000-0002-4754-3614"
title: "Twitter data on the Irish Abortion Referendum of 2018"
version: 2.0.1
url: "https://github.com/caroline-pena/Repeal_the_8th_data"
date-released: 2024-08-02

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