Data

Strategic authenticity in the promotion of a protest action on social media: the case of the School Strike 4 Climate in Sydney

Western Sydney University
Di Martino, Luigi
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ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rfr_id=info%3Asid%2FANDS&rft_id=info:doi10.26183/0jjs-ca73&rft.title=Strategic authenticity in the promotion of a protest action on social media: the case of the School Strike 4 Climate in Sydney dataset&rft.identifier=10.26183/0jjs-ca73&rft.publisher=Western Sydney University&rft.description=This study investigates the communication practices of the School Strike 4 Climate (SS4C) Sydney group on social media in the lead-up to the 3 March 2023 climate protest. The student climate movement in Australia—particularly SS4C Sydney—has been recognised for its pioneering use of digital platforms to mobilise, educate, and engage supporters (Tattersall, Hinchliffe, & Yajman, 2022). To explore how the movement communicated around this protest event, the project collected all posts published on SS4C Sydney’s Instagram and TikTok accounts between 12 February and 10 March 2023. Data were collected manually through screen capture to preserve the visual and contextual integrity of each post. Each item was recorded in a coding spreadsheet, including metadata such as platform, date, media type, caption text, hashtags, and observed interactions (e.g. comments, likes). The dataset includes variables for: o Post type (e.g. image post, video, story, TikTok) o Content format (e.g. speeches, memes, crowd photos, signage) o Function (e.g. event promotion, celebration, call to action) o Theme (e.g. science, politics, Indigenous knowledge, internet culture) o Following collection, the posts were qualitatively coded using inductive content analysis. &rft.creator=Di Martino, Luigi &rft.date=2025&rft.relation=https://doi.org/10.1080/22041451.2024.2417140&rft.coverage=Western Sydney&rft_rights=Copyright Western Sydney University&rft_rights=CC BY-SA 4.0: Attribution-Share Alike 4.0 International http://creativecommons.org/licenses/by-sa/4.0&rft_subject=school strikes 4 climate&rft_subject=student climate action&rft_subject=protest promotion&rft_subject=strategic authenticity&rft_subject=LANGUAGE, COMMUNICATION AND CULTURE&rft_subject=Communication studies&rft_subject=Communication and media studies&rft_subject=Screen and media culture&rft_subject=Cultural studies&rft_subject=Environmental politics&rft_subject=Political science&rft_subject=HUMAN SOCIETY&rft_subject=Expanding knowledge in human society&rft_subject=Expanding knowledge&rft_subject=EXPANDING KNOWLEDGE&rft_subject=Government and politics not elsewhere classified&rft_subject=Government and politics&rft_subject=LAW, POLITICS AND COMMUNITY SERVICES&rft.type=dataset&rft.language=English Access the data

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CC-BY-SA

CC BY-SA 4.0: Attribution-Share Alike 4.0 International
http://creativecommons.org/licenses/by-sa/4.0

Copyright Western Sydney University

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Full description

This study investigates the communication practices of the School Strike 4 Climate (SS4C) Sydney group on social media in the lead-up to the 3 March 2023 climate protest. The student climate movement in Australia—particularly SS4C Sydney—has been recognised for its pioneering use of digital platforms to mobilise, educate, and engage supporters (Tattersall, Hinchliffe, & Yajman, 2022). To explore how the movement communicated around this protest event, the project collected all posts published on SS4C Sydney’s Instagram and TikTok accounts between 12 February and 10 March 2023. Data were collected manually through screen capture to preserve the visual and contextual integrity of each post. Each item was recorded in a coding spreadsheet, including metadata such as platform, date, media type, caption text, hashtags, and observed interactions (e.g. comments, likes).

The dataset includes variables for:

o Post type (e.g. image post, video, story, TikTok)

o Content format (e.g. speeches, memes, crowd photos, signage)

o Function (e.g. event promotion, celebration, call to action)

o Theme (e.g. science, politics, Indigenous knowledge, internet culture)

o Following collection, the posts were qualitatively coded using inductive content analysis.

Created: 2025-06-16

Data time period: 03 2023 to 31 03 2023

This dataset is part of a larger collection

Spatial Coverage And Location

text: Western Sydney

Identifiers
  • DOI : 10.26183/0JJS-CA73
  • Local : research-data.westernsydney.edu.au/published/2e56ef504a4a11f0b943eb1ef7e22f94