I study the persuasive effects of slanted language, exploiting a ban on the politically charged term “illegal immigrant” by the Associated Press (AP) news wire. My empirical strategy combines the timing of the ban with variation across media outlets in their baseline reliance on AP copy. I document sizable diffusion of the ban from AP copy to media outlets. Moreover, individuals exposed to the ban through local media show significantly lower support for restrictive immigration policies. This effect is more pronounced for moderates and in locations with fewer immigrants, and does not transfer to views on issues other than immigration.

We explore the mechanics of empathy. We show that information about an outgroup can activate and magnify empathy when presented in conjunction with an experience simulating their struggles. This response increases the willingness to help the struggling group. We provide evidence for this effect in an immersive virtual reality experiment where participants (“witnesses”) experience a simulation of the struggle of unauthorized migrants (“protagonists”), then replicate these results in a series of controlled lab experiments. We show that information enhances the witnesses’ empathetic response and drives them to engage in more prosocial behavior when it increases their perceived interpersonal similarity, or relatability to the protagonist — an effect we trace to attention: eye-tracking data reveals that information provision concentrates witnesses’ gaze on the struggles of the protagonist instead of searching through peripheral elements of the scene. Conversely, only information packages that strengthen perceived relatability — an effect that can vary across subgroups with heterogeneous attributes — magnify empathy. Together, our evidence suggests that the ability to put oneself in the shoes of another person or group can be enhanced by activating empathy through simple, targeted, information provision.

How does competition from online platforms affect the organization, performance, and editorial choices of newspapers? What are the implications of these changes for the information voters are exposed to and for their political choices? We study these questions using the staggered introduction of Craigslist (CL)—the world’s largest online platform for classified advertising—across U.S. counties between 1995 and 2009. This setting allows us to separate the effect of competition for classified advertising from other changes brought about by the Internet, and to compare newspapers that relied more or less heavily on classified ads ex ante. We find that, following the entry of CL, local newspapers reliant on classified ads experienced a significant decline in the number of management and newsroom staff, including in the number of editors covering politics. These organizational changes led to a reduction in news coverage of politics and resulted in a decline in newspaper readership, particularly among readers with high political interest. Finally, we document that reduced exposure to local political news was associated with an increase in partisan voting and increased entry and success of ideologically extreme candidates in congressional elections. Taken together, our findings shed light on the determinants of the decline of print media and on its broader implications for democratic politics.