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The best data wins: Assessing policies that regulate the collection, use, and disclosure of voter data by Canadian federal parties

Resource type
Thesis type
(Project) M.P.P.
Date created
2022-04-14
Authors/Contributors
Abstract
Advances in data analytics and data-driven tools have significantly changed how federal parties campaign to win highly competitive election races in Canada. Despite these advances, federal parties are not currently regulated by data protection legislation, enabling the near unfettered collection, use, and disclosure of voter information. Consequently, there is growing concern among researchers and advocacy groups that data-driven campaign tactics infringe on individual privacy rights and undermine the democratic integrity of elections. This research examines these concerns through a literature review, expert interviews, and a jurisdictional scan. Contributing to original research, this research evaluates four policy options for regulating how federal parties campaign with voter data and data-driven tools. Currently, all major federal parties exhibit little political will to regulate themselves through data protection legislation; this research concludes by commenting on the political feasibility and potential for implementing data protection regulation.
Document
Extent
66 pages.
Identifier
etd21912
Copyright statement
Copyright is held by the author(s).
Permissions
This thesis may be printed or downloaded for non-commercial research and scholarly purposes.
Supervisor or Senior Supervisor
Thesis advisor: Borwein, Sophie
Language
English
Member of collection
Download file Size
etd21912.pdf 834.09 KB

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