Computational Methods for Improving the Observability of Platform-Based Advertising-Reference-Cited by-同舟云学术

Computational Methods for Improving the Observability of Platform-Based Advertising

Published:2024-09-11 Issue: Volume: Page:1-20
ISSN:0091-3367
Container-title:Journal of Advertising
language:en
Short-container-title:Journal of Advertising

Author:

Angus Daniel¹^ORCID,Hayden Lauren²^ORCID,Obeid Abdul Karim¹^ORCID,Tan Xue Ying¹^ORCID,Carah Nicholas²^ORCID,Burgess Jean¹^ORCID,Parker Christine³^ORCID,Andrejevic Mark⁴^ORCID,Fordyce Robbie⁴^ORCID,Cellard Loup³^ORCID,Bagnara Julian³^ORCID

Affiliation:

1. Queensland University of Technology, Kelvin Grove, Queensland, Australia

2. The University of Queensland, St. Lucia, Queensland, Australia

3. The University of Melbourne, Carlton, Victoria, Australia

4. Monash University, Caulfield, Victoria, Australia

Funder

Australian Research Council

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/00913367.2024.2394156

Reference92 articles.

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3. AIHW. 2023. “Gambling in Australia.” Australian Institute of Health and Welfare. September 7 2023. https://www.aihw.gov.au/reports/australias-welfare/gambling.

4. Andrejevic, M., R. Fordyce, L. Luzhou, V. Trott, D. Angus, and X. Y. Tan. 2022. “Ad Accountability Online: A Methodological Approach.” In Everyday Automation, edited by S. Pink, M. Berg, D. Lupton, and M. Ruckenstein, 213–225. London: Routledge.

5. Andreou, A., M. Silva, F. Benevenuto, O. Goga, P. Loiseau, and A. Mislove. 2019. “Measuring the Facebook Advertising Ecosystem.” In NDSS 2019-Proceedings of the Network and Distributed System Security Symposium, San Diego, CA, 1–15.