Political Advertising on Facebook During the 2022 Australian Federal Election: A Social Identity Perspective
Abstract
Political advertising on social media has become an important component of contemporary election campaigns, yet most research has focused on voluntary voting systems in which mobilizing supporters is a central goal. This study examines political advertising on Meta platforms (Facebook and Instagram) during the 2022 Australian federal election, a context shaped by compulsory voting and therefore distinctive campaign incentives. Using data from Meta’s Ad Library, we analyze temporal, demographic, geographic, and textual patterns in advertisements published by political actors during the campaign. The Australian Labor Party and the Liberal Coalition dominated the digital advertising landscape in both spending and impressions, while smaller parties and independents adopted more selective strategies. Ad delivery varied across demographic groups, with major parties, the Greens, and the United Australia Party showing different age and gender skews, though the clearest form of targeting was geographic. Across content, major parties emphasized party branding and criticism of opponents, whereas smaller parties more often relied on issue-based messaging. Interpreted through political psychology perspectives, and particularly Social Identity Theory, these patterns are consistent with different forms of identity appeal: major parties appear to reinforce established partisan identities, while smaller actors seek to connect with voters through issue-based identities to capture the support of disaffected voters who are obligated to participate.
Fields of Study & Subjects
Social Media and Politics
Gender
Feminism
and Media
Populism
Right-Wing Movements
Publication details
- Journal / source
- Proceedings of the International AAAI Conference on Web and Social Media
- Publisher
- Association for the Advancement of Artificial Intelligence (AAAI)
- Volume
- 20
- Issue
- 1
- Pages
- 563–577
- Publication date
- 25 May 2026
- Language
- EN