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  1. Review Essay: What Should Historical Sociologists Do All Day? Starving the Beast, the Reagan Tax Cuts, and Modes of Historical Explanation

    Monica Prasad, along with collaborators like Isaac Martin and Ajay Mehrotra (e.g., Martin, Mehrotra, and Prasad 2009), has made fiscal sociology—the sociology of taxation—a thriving part of the discipline. Her first book showed how different national patterns of taxation help explain the variable strength of neoliberalism across nations (Prasad 2006). Her second identified progressive taxation as key to producing both democratized credit and a weak welfare state in the United States (Prasad 2012).
  2. Review Essay: The Digital Surveillance Society

    When hundreds of thousands of protesters filled the streets of Hong Kong this summer, central figures reportedly took no selfies, avoided Facebook and Twitter, installed prepaid SIM cards, stuck to secure messaging apps, and used cash instead of rechargeable subway cards or other cashless payments. It is not clear whether this will help them avoid “conspiracy to commit public nuisance” charges, which led to prison sentences for leaders of the 2014 Umbrella movement (including sociologist Kin-man Chan).
  3. Do Sociology Courses Make More Empathetic Students? A Mixed-Methods Study of Empathy Change in Undergraduates

    Assessing course goals is often challenging; assessing an abstract goal, like empathy, can be especially so. For many instructors, empathy is central to sociological thinking. As such, fostering empathy in students is a common course goal. In this article, we report the initial findings of a semester-long assessment of empathy change in undergraduate students (N = 619). We employ a mixed-methods research design that utilizes qualitative instructor data to determine independent instructor-level variables and student surveys to measure student empathy change.
  4. Featured Essay: Preventing Violence: Insights from Micro-Sociology

    Micro-sociology of violence looks at what happens in situations where people directly threaten violence, but only sometimes carry it out. This process and its turning points have become easier to see in the current era of visual data: cell-phone videos, long-distance telephoto lenses, CCTV cameras. New cues and instruments are on the horizon as we look at emotional signals, body rhythms, and monitors for body signs such as heart rate (a proxy for adrenaline level).
  5. When Interest Doesn’t Turn into Action: Discrimination, Group Identification, and Muslim Political Engagement in the Post-9/11 Era

    This article examines the effect of exposure to post-9/11 stigmatization on various types of Muslim political engagement, using a mixed-methods approach that combines propensity score matching analysis of data from the Muslims in the American Public Square (MAPS) survey administered immediately after 9/11 with experimental data of the U.S. Muslim population. I find that increased discrimination results in increased political interest but has a neutral or dampening effect on political participation.
  6. Algorithmic Control in Platform Food Delivery Work

    Building on an emerging literature concerning algorithmic management, this article analyzes the processes by which food delivery platforms control workers and uncovers variation in the extent to which such platforms constrain the freedoms—over schedules and activities—associated with gig work.
  7. Economic Populism and Bandwagon Bigotry: Obama-to-Trump Voters and the Cross Pressures of the 2016 Election

    Through an analysis of validated voters in the 2016 American National Election Study, this article considers the voters who supported Obama in 2012 and Trump in 2016. More than 5.7 million in total, Obama-to-Trump voters were crucial to Trump’s victory in the Electoral College. They were more likely to be white, working class, and resident in the Midwest. They had lower levels of political interest, were centrist in both party affiliation and ideology, and were late deciders for the 2016 election.
  8. CASM: A Deep-Learning Approach for Identifying Collective Action Events with Text and Image Data from Social Media

    Protest event analysis is an important method for the study of collective action and social movements and typically draws on traditional media reports as the data source. We introduce collective action from social media (CASM)—a system that uses convolutional neural networks on image data and recurrent neural networks with long short-term memory on text data in a two-stage classifier to identify social media posts about offline collective action. We implement CASM on Chinese social media data and identify more than 100,000 collective action events from 2010 to 2017 (CASM-China).
  9. Teaching Replication to Graduate Students

    Replicating published studies promotes active learning of quantitative research skills. Drawing on experiences from a replication course, we provide practical tips and reflections for teachers who consider incorporating replication in their courses. We discuss teaching practices and challenges we encountered at three stages of a replication course: student recruitment, course structure and proceedings, and learning outcomes. We highlight that by engaging in replication, students learn from established scholarly work in a collaborative and reflective manner.
  10. The Sociological Canon, Relations between Theories and Methods, and a Latent Political Structure: Findings from a Survey of Sociology Students in Germany and Consequences for Teaching

    We discuss findings from a survey of sociology students in Germany and consequences for teaching. We focus on the de facto formation of a sociological canon, the relation between theories and methods, and effects of social and political characteristics on student’s scientific preferences. Our findings suggest that irrespective of an agreement of the sociological professionals on a common definition of a core, a de facto canon of theories and methods exists in teaching practices. Moreover, specific relations between sociological theories and methods occur in the data.