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The covid-19 pandemic has revived a longstanding, and understudied, trope in American politics: the association of immigrants with disease. There has been a great deal of scholarship on the economic, cultural, and criminal threat frames attached to immigrant groups in media coverage, but little to date has specifically examined how national and local sources have framed covid-19 in the context of immigrant communities. In this paper we analyze the prevalence of two different framings of the pandemic in national and local online news outlets over the first year of the pandemic: immigration as a public health threat to the nation, and covid-19 as a threat to immigrant communities within the nation. We find significant differences between national and local coverage, with the former more likely to frame immigration as a covid-19 threat, while local news outlets were more likely to discuss the threat the virus posed to already marginalized immigrant communities. [ABSTRACT FROM AUTHOR]

Significant research indicates that attitude change is often a product of partisan learning. However, as the party system continues to rearrange around issues of race and immigration, and as new racial policy issues thrust onto the agenda, it is unclear whether voters learn to adopt racial policy attitudes more based on race/ethnicity or on party identification. We evaluate the partisan-learning model versus a racial-learning model with regards to public opinion on sanctuary cities/policies among survey respondents in CA and TX. Given President Trump's public antipathy toward sanctuary cities, we argue and show that negative partisanship is the most plausible vehicle for sanctuary city attitude change between 2015 and 2017. In this particular case, we find no support for a racial/ethnic-learning model. [ABSTRACT FROM AUTHOR]