An engine not a camera: Measuring performative power of online search

May 29, 2024 Β· Declared Dead Β· πŸ› Neural Information Processing Systems

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Authors Celestine Mendler-DΓΌnner, Gabriele Carovano, Moritz Hardt arXiv ID 2405.19073 Category cs.CY: Computers & Society Cross-listed cs.IR Citations 7 Venue Neural Information Processing Systems Last Checked 4 months ago
Abstract
The power of digital platforms is at the center of major ongoing policy and regulatory efforts. To advance existing debates, we designed and executed an experiment to measure the performative power of online search providers. Instantiated in our setting, performative power quantifies the ability of a search engine to steer web traffic by rearranging results. To operationalize this definition we developed a browser extension that performs unassuming randomized experiments in the background. These randomized experiments emulate updates to the search algorithm and identify the causal effect of different content arrangements on clicks. Analyzing tens of thousands of clicks, we discuss what our robust quantitative findings say about the power of online search engines, using the Google Shopping antitrust investigation as a case study. More broadly, we envision our work to serve as a blueprint for how the recent definition of performative power can help integrate quantitative insights from online experiments with future investigations into the economic power of digital platforms.
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