American Sociological Association

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  1. 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).
  2. The Caribbean Cruise Ship Business and the Emergence of a Transnational Capitalist Class

    This paper will provide an overview of the fundamental changes that the cruise ship business has undergone with the emergence of capitalist globalization and in the context of the Caribbean region. Rising profits and investments in tourism during the later decades of the 20th century and into the 21st century have been an important part of the globalizing economy. This has been a consequence of both the major technological and organizational developments of global capitalism, but also, and most importantly, of the global system’s changing social and class relations.
  3. Austerity and Anti-Systemic Protest: Bringing Hardships Back In

    This article explores the relationship between hardships and protest in the world-system. Despite the history of discussion of anti-systemic protest, there has been little work that differentiates world-systems contributions to social movement research from others who examine social movements. We contribute to a theory of anti-systemic protest by re-introducing hardships as a crucial element that defines inequalities in the world-system; one consistent source of those hardships are austerity policies imposed in response to debt negotiations.