Australian Federal Election 2019 on Twitter
During the 2019 federal election campaign, the QUT Digital Observatory along with Professor Axel Bruns, Professor Daniel Angus, and Adam Smith collected the tweets from Twitter accounts officially associated with candidates in the election.
Selected publications from the research team analysing this data include:
- Bruns, A., Angus, D., & Graham, T. (2021). Twitter Campaigning Strategies in Australian Federal Elections 2013-2019. Social Media + Society. https://doi.org/10.1177/20563051211063462
- Bruns, A., Angus, D., & Graham, T. (2019, May 17). The 2019 election on Twitter: Watergate, mums, and well-organised independents. The Conversation. http://theconversation.com/the-2019-election-on-twitter-watergate-mums-and-well-organised-independents-117182
- QUT News: Election Twitter chatter: who's sharing and what's trending
This dataset consists of three (3) .csv files, including two containing Tweet IDs and one containing candidate information. Also present are two fact sheets (.pdf).
Geographical area of data collection
Data focuses on Australian events, but is not restricted to data sourced from Australia.
Twitter Campaigning Strategies in Australian Federal Elections 2013–2019 http://dx.doi.org/https://doi.org/10.1177%2F20563051211063462
Election Twitter chatter: who’s sharing and what’s trending https://www.qut.edu.au/news?id=144270
The 2019 election on Twitter: Watergate, mums, and well-organised independents https://theconversation.com/the-2019-election-on-twitter-watergate-mums-and-well-organised-independents-117182
Communication and media studies
Australian government and politics
Cite this collection
Bruns, Axel; Angus, Daniel; Smith, Adam; QUT Digital Observatory; (2022): Australian Federal Election 2019 on Twitter. Queensland University of Technology. (Dataset) https://doi.org/10.25912/RDF_1652225222164
Data file types
.csv and .pdf
Access rights to different files in the dataset are detailed in the Access Rights section.
© Queensland University of Technology, 2022.
Dates of data collection
From 2019-05-04 to 2019-05-25
Has association with
Has chief investigator
Name: QUT Digital Observatory
Phone: +61 7 3138 8586
Date record created:
Date record modified:
Published - Open Access