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To test the efficacy of reform rhetoric, I conducted an Internet experiment using Amazon Mechanical Turk. Respondents were randomly assigned to one of six message conditions or to a control condition (no message) and then asked their views about eliminating the use of incarceration for select nonviolent offenses. Results from ordinal logistic regression models suggest that message frames that appeal to a respondent\u2019s self-interest or emphasize the unfairness of the punishment (not who is punished) tend to be most effective.<\/jats:p>","DOI":"10.1177\/0011128716687758","type":"journal-article","created":{"date-parts":[[2017,1,14]],"date-time":"2017-01-14T00:57:49Z","timestamp":1484355469000},"page":"636-656","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":69,"title":["The Effect of Message Frames on Public Attitudes Toward Criminal Justice Reform for Nonviolent Offenses"],"prefix":"10.1177","volume":"63","author":[{"given":"Aaron","family":"Gottlieb","sequence":"first","affiliation":[{"name":"University of Illinois at Chicago, IL, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"179","published-online":{"date-parts":[[2017,1,12]]},"reference":[{"key":"bibr1-0011128716687758","volume-title":"The new Jim Crow: Mass incarceration in the age of colorblindness","author":"Alexander M. 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