Google

In January 2023, Louisiana enacted Act 440, requiring websites containing substantial adult content to verify users’ ages through government-issued identification or commercial verification services. Since the passing of this legislation, 17 additional states have adopted similar laws. Using Google Trends data and a preregistered synthetic control design, this paper examines the impact of these age verification requirements on digital behavior across four key dimensions: searches for the largest compliant website, the largest non-compliant website, VPN services, and adult content generally.Three months after the laws were passed, Our analysis reveals a 51% reduction in searches for the dominant compliant platform, accompanied by significant increases in searches for both the dominant non-compliant platform (48.1%) and VPN services (23.6%). Through multiverse analyses that incorporate multiple specifications and control group constructions, we demonstrate the robustness of these behavioral changes. Our point estimates remain consistent with our pre-registered hypotheses across 3,200 point estimates. Our findings highlight that while these regulation efforts reduce traffic to compliant firms and likely a net reduction overall to this type of content, individuals adapt primarily by moving to content providers that do not require age verification. Our methodological approach offers a framework for real-time policy evaluation in contexts with staggered treatment adoption.

Considerable scholarly attention has been paid to understanding belief in online misinformation, with a particular focus on social networks. However, the dominant role of search engines in the information environment remains underexplored, even though the use of online search to evaluate the veracity of information is a central component of media literacy interventions. Although conventional wisdom suggests that searching online when evaluating misinformation would reduce belief in it, there is little empirical evidence to evaluate this claim. Here, across five experiments, we present consistent evidence that online search to evaluate the truthfulness of false news articles actually increases the probability of believing them. To shed light on this relationship, we combine survey data with digital trace data collected using a custom browser extension. We find that the search effect is concentrated among individuals for whom search engines return lower-quality information. Our results indicate that those who search online to evaluate misinformation risk falling into data voids, or informational spaces in which there is corroborating evidence from low-quality sources. We also find consistent evidence that searching online to evaluate news increases belief in true news from low-quality sources, but inconsistent evidence that it increases belief in true news from mainstream sources. Our findings highlight the need for media literacy programmes to ground their recommendations in empirically tested strategies and for search engines to invest in solutions to the challenges identified here.