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Explore a conference talk examining the impact of transparency in online behavioral advertising algorithms. Delve into research findings on user perceptions when exposed to explanations about ad targeting, inferred user attributes, and data usage by advertisers. Discover how revealing algorithmic processes affects user trust, preferences, and understanding of advertising systems. Learn about user preferences for interpretable, non-intrusive explanations and the phenomenon of algorithm disillusionment. Gain insights into proposed design implications for effectively communicating information about advertising algorithms to users. Recorded at the ACM CHI Conference on Human Factors in Computing Systems, this presentation offers valuable perspectives on balancing algorithmic transparency and user experience in digital advertising.
