Computational analysis of 140 years of US political speeches reveals more positive but increasingly polarized framing of immigration.

We classify and analyze 200,000 US congressional speeches and 5,000 presidential communications related to immigration from 1880 to the present. Despite the salience of antiimmigration rhetoric today, we find that political speech about immigration is now much more positive on average than in the past, with the shift largely taking place between World War II and the passage of the Immigration and Nationality Act in 1965. However, since the late 1970s, political parties have become increasingly polarized in their expressed attitudes toward immigration, such that Republican speeches today are as negative as the average congressional speech was in the 1920s, an era of strict immigration quotas. Using an approach based on contextual embeddings of text, we find that modern Republicans are significantly more likely to use language that is suggestive of metaphors long associated with immigration, such as "animals" and "cargo," and make greater use of frames like "crime" and "legality." The tone of speeches also differs strongly based on which nationalities are mentioned, with a striking similarity between how Mexican immigrants are framed today and how Chinese immigrants were framed during the era of Chinese exclusion in the late 19th century. Overall, despite more favorable attitudes toward immigrants and the formal elimination of race-based restrictions, nationality is still a major factor in how immigrants are spoken of in Congress.

The thin blue waveform: Racial disparities in officer prosody undermine institutional trust in the police.

How do routine police encounters build or undermine community trust, and how might they contribute to racial gaps in citizen perceptions of the police? Procedural justice theory posits that officers' interpersonal communication toward the public plays a formative role, but experimental tests of this hypothesis have been constrained by the difficulties of measuring and manipulating this dimension of officer-citizen interactions. Officer-worn body camera recordings provide a novel means to overcome both of these challenges. Across five studies with laboratory and community samples, we use footage from traffic stops to examine how officers communicate to drivers and whether racial disparities in officers' communication erode institutional trust in the police. Specifically, we consider the cumulative effects of one subtle interpersonal cue: an officer's tone of voice. In Studies 1A, 1B, and 1C, participants rated thin slices of officer speech. Participants were blind to the content of the officer's words and the race of their interlocutor, yet they evaluated officers' tone toward White (vs. Black) men more positively. By manipulating participants' exposure to repeated interactions, we demonstrate that even these paraverbal aspects of police interactions shape how citizens construe the police generally (Study 2), and that racial disparities in prosodic cues undermine trust in institutions such as police departments (Study 3). Participants' trust in the police, and personal experiences of fairness, in turn, correlated with their perceptions of officer prosody across studies. Taken together, these data illustrate a cycle through which interpersonal aspects of police encounters erode institutional trust across race. (PsycInfo Database Record (c) 2022 APA, all rights reserved).

Language from police body camera footage shows racial disparities in officer respect.

Using footage from body-worn cameras, we analyze the respectfulness of police officer language toward white and black community members during routine traffic stops. We develop computational linguistic methods that extract levels of respect automatically from transcripts, informed by a thin-slicing study of participant ratings of officer utterances. We find that officers speak with consistently less respect toward black versus white community members, even after controlling for the race of the officer, the severity of the infraction, the location of the stop, and the outcome of the stop. Such disparities in common, everyday interactions between police and the communities they serve have important implications for procedural justice and the building of police-community trust.