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In the Metaverse, Politicians Can Hear You Scream: Corporate Scandals, Big Tech Regulation, and the Microfoundations of Focusing Events

Published online by Cambridge University Press:  26 May 2026

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Abstract

Around the world, the growing power of giant technology firms has outpaced regulatory oversight, raising urgent questions about how public opinion can be mobilized in support of meaningful reform. When do broad coalitions emerge in support of stronger regulation? This study investigates corporate scandals as windows of opportunity—focusing events—that can galvanize public support for new regulations and amplify issue salience. To assess this possibility, we conducted a two-wave survey experiment that we fielded simultaneously in France, Germany, the United Kingdom, and the United States. After collecting pre-treatment data in a separate, dedicated survey wave, our subjects were later assigned to read media coverage describing the 2018 Facebook/Cambridge Analytica scandal. The results confirm our preregistered hypothesis: in all four countries, exposure to scandal coverage significantly increases support for technology regulation and elevates the issue’s salience. Anger mediates this shift, and increased issue salience correlates with a greater willingness to engage in political action around technology policy. At a moment of heightened concern about the concentration of economic and political power in a handful of mammoth technology firms, these findings illuminate the microfoundations of how focusing events can break political inertia and catalyze regulatory reform.

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Article
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited.
Copyright
© The Author(s), 2026. Published by Cambridge University Press on behalf of American Political Science Association
Figure 0

Figure 1 Conceptual Model Linking Scandals, Anger, and Political Behaviors

Figure 1

Figure 2 Screenshot of the Scandal Treatment ArticleNote. This is the first page of the experimental treatment used in the United States. Copies of complete articles from all countries appear in online appendix B.

Figure 2

Table 1 Technology Regulation Scale Items

Figure 3

Figure 3 Baseline Level of Support and Effect of Scandal on Support for Tech RegulationNote. Dots indicate group mean scores, and bars depict 90% confidence intervals. Scale ranges from 1 (least support for regulation) to 5 (most support for regulation). In panel b, for the pooled sample and all four country samples, there is a statistically significant difference at p = 0.10 level between members of the treatment and control group as depicted by the upward slope. Specific point estimates and confidence intervals are detailed in online appendix E.

Figure 4

Figure 4 Political Orientation and the Effect of the Scandal Treatment on Tech Regulation, by CountryNote. The panel shows the marginal effect of the scandal treatment (with 95% CIs) on support for regulating big tech companies along the values of political orientation, where 0 = strong progressive and 10 = strong conservative.

Figure 5

Figure 5 Baseline Salience and Effect of Scandal on Issue Salience of Tech RegulationNote. Dots indicate differences group mean scores, and bars depict 90% confidence intervals. Scale ranges from 1 (low issue importance) to 5 (high issue importance). For the pooled sample and all four country samples, there is a statistically significant difference at p = 0.10 level between members of the treatment and control group as depicted by the upward slope. Specific point estimates and confidence intervals are detailed in online appendix H.

Figure 6

Figure 6 Baseline Levels and Effect of Scandal Treatment on Political ParticipationNote. Dots indicate differences group mean scores, and bars depict 90% confidence intervals. For the pooled sample and in Germany and the US, there is a statistically significant difference at p = 0.10 level between members of the treatment and control group as depicted by the upward slope. Specific point estimates and confidence intervals are detailed in online appendix I.

Figure 7

Figure 7 Shifts in Issue Salience and Political Participation in Treatment GroupNote. Dots indicate differences group mean scores for those exposed to the scandal treatment, and bars depict 95% confidence intervals.

Figure 8

Figure 8 Effect of Scandal on AngerNote. Dots indicate differences group mean scores, and bars depict 90% confidence intervals. DE = Germany, FR = France, UK = United Kingdom, US = United States. For the pooled sample and all four country samples, there is a statistically significant difference at p = 0.10 level between members of the treatment and control group as depicted by the upward slope. Specific point estimates and confidence intervals are detailed in online appendix F.

Figure 9

Figure 9 Anger Mediating the Effect of Tech Scandals on Regulatory Preferences, Issue Salience and Political ParticipationNote. Estimates of ACME, ADE, and total effect with 95% confidence intervals. ACME: average causal mediation effect; ADE: average direct effect. Figures are based on regression analyses that are produced in full in online appendix G.

Figure 10

Figure 10 Scandal Treatment Effect on Regulatory Preferences among People with Differing Levels of Pretreatment Anger at Big Technology Firms

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