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  1. 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.
  2. Sociology's Greatest Hits of 2018

    From a study on the impact of racial resentment on political ideology to analysis of issues including minority college admissions, the success of lying demagogues, and public opposition to “religious freedom” laws, the most downloaded sociological research published in the American Sociological Association’s journals in 2018 spanned a wide range of topics and social concerns.

  3. Anarchism in the Web of Transnational Social Movements

    Anarchists have played a visible and significant role in global civil society since the 19th century and in the New Global Left since it emerged in the 1990s. Horizontalism and social libertarianism have been central components of the contemporary World Revolution and were also important in the world revolutions of 1968 and 1989. Anarchists have participated in the Social Forum process at the global, national and local levels and, in various ways, have influenced the contemporary world revolution far beyond their numbers.
  4. Sugar, Slavery, and Creative Destruction: World-Magnates and “Coreification” in the Longue-Durée

    Recent literature in the world-systems perspective has refocused attention on questions of ‘core’ and ‘periphery’ in historical capitalism, yet rarely critically examines the underlying assumptions regarding these zones. Drawing on a developing dataset on the world’s wealthiest individuals (the World-Magnates Database), we trace the development and expansion of sugar circuits across the Atlantic world from the sixteenth through the eighteenth centuries to explain how the sugar commodity chain leads us to rethink some prevailing notions of core and periphery.
  5. Nuclear War in the Rivalry Phase of the Modern World-System

    Large-scale war is a world-system phenomenon of the rivalry phase. Such conflicts have once again become a concern, and nuclear weapons make these prospects especially dangerous. This is particularly problematic since several world-systems perspectives suggest the chances for war will be greatest in the period from 2030 to 2050. I review the logic of rivalry, the reasons for the endurance of nuclear weapons, old and new nuclear strategies, and the processes that may pose the greatest existential dangers.
  6. Transnational Social Movement Organizations and Counter-Hegemonic Struggles Today

    World-systems analysts have drawn our attention to the importance of the long-standing worldwide struggles of subaltern groups to defend their livelihoods and address fundamental conflicts of our times. Climate change, financial volatility, and rising inequality are exposing the existential threats the global capitalist system poses to growing numbers—many of whom once enjoyed some of its benefits. These urgent challenges create possibilities for social movements to attract more widespread support for alternatives to global capitalism.
  7. Analyzing Meaning in Big Data: Performing a Map Analysis Using Grammatical Parsing and Topic Modeling

    Social scientists have recently started discussing the utilization of text-mining tools as being fruitful for scaling inductively grounded close reading. We aim to progress in this direction and provide a contemporary contribution to the literature. By focusing on map analysis, we demonstrate the potential of text-mining tools for text analysis that approaches inductive but still formal in-depth analysis.
  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. Reconsidering Student Evaluations of Teaching

    Washington, DC:  A formal statement issued by the American Sociological Association (www.asanet.org/studentevaluations), and endorsed by 17 other scholarly associations, describes the current use of student evaluations of teaching as “problematic” and identifies ways to use student feedback appropriately as one part of holistic assessment of teaching effectiveness in institutions of higher education.

  10. The Rise of ‘Illiberal’ Democracy: The Orbánization of Hungarian Political Culture

    This article examines the rise of the political right and far-right in Hungarian political culture. It highlights the contribution that world-systems analysis can bring to an historical sociological understanding of the concept of political culture, with a particular focus on contemporary Hungary. Many commentators are asking: how it can be that 30 years of democratic transition has led to the dominance in Hungary of a politics of intolerance, illiberalism and ethno-Nationalism, as manifested in both the current government, Fidesz, and the neo-fascist party, Jobbik.