A guide for using computational text analysis to learn about the social world From social media posts and text messages to digital government documents and archives, researchers are bombarded with a deluge of text reflecting the social world. This textual data gives unprecedented insights into fundamental questions in the social sciences, humanities, and industry. Meanwhile new machine learning tools are rapidly transforming the way science and business are conducted. Text as Data shows how to combine new sources of data, machine learning tools, and social science research design to develop and evaluate new insights. Text as Data is organized around the core tasks in research projects using text—representation, discovery, measurement, prediction, and causal inference. The authors offer a sequential, iterative, and inductive approach to research design. Each research task is presented complete with real-world applications, example methods, and a distinct style of task-focused research. Bridging many divides—computer science and social science, the qualitative and the quantitative, and industry and academia—Text as Data is an ideal resource for anyone wanting to analyze large collections of text in an era when data is abundant and computation is cheap, but the enduring challenges of social science remain. Overview of how to use text as data Research design for a world of data deluge Examples from across the social sciences and industry

Care has re-entered the zeitgeist. In the aftermath of the 2016 U.S. presidential election, #selfcare exploded across media platforms. Beyond this popular focus on self-care rituals, care has also emerged as a driving force within new collective movements. Situating discussions of care within a historical trajectory of feminist, queer, and Black activism, contributors to this special issue consider how individuals and communities receive and provide care in order to survive in environments that challenge their very existence. They explore how trans activists find resilience and vitality through coalitional labor; argue that social movements should expand mutual aid strategies, focusing on solidarity over charity; discuss a neoliberal university wellness culture that seeks to patch up structural care deficits with quick fixes like meditation apps and yoga classes; and more. As the traditionally undervalued labor of caring becomes recognized as a key element of survival, contributors show how radical care provides a roadmap for not only enduring precarious worlds but also envisioning new futures. In the face of state-sanctioned violence, economic crisis, and impending ecological collapse, collective care offers a way forward. Contributors. Nicole Charles, Elijah Adiv Edelman, Hi'ilei Hobart, Tamara Kneese, Micki McGee, Leyla Savloff, Cotten Seiler, Dean Spade

A collection that challenges the binary conception of conservative religion versus progressive secularism by highlighting the existence of multiple secularisms.

The contributors to Left of Queer offer a detailed examination of queerness and its nearly three-decade academic institutionalization. They interrogate contemporary material conditions that create socially and politically acceptable queer subjects and identities; trace the development of queer studies as a brand of US area studies predicated on American culture and exceptionalism; and bring together queer theory and Marxism to reject claims that the two fields are incompatible. In examining these themes, the contributors explore how emergent debates in three key areas--debility, indigeneity, and trans--connect queer studies to a host of urgent sociopolitical issues. Taking a position that is politically left of the current academic and political mainstreaming of queerness, the essays in this issue examine what is left of queer--what remains outside of the political, economic, and cultural mandates of the state and the liberal individual as its prized subject. Contributors. Neel Ahuja, Aren Z. Aizura, Paul Amar, Toby Beauchamp, Marquis Bey, Jodi A. Byrd, Christina Crosby, Aniruddha Dutta, Treva Ellison, Fatima El-Tayeb, David L. Eng, Jules Gill-Peterson, Cristina B. Hanhardt, Kwame Holmes, Janet R. Jakobsen, Eng-Beng Lim, Petrus Liu, Tavia Nyong'o, Jasbir K. Puar, Sherene Seikaly, Eliza Steinbock

Online communities generate massive volumes of natural language data and the social sciences continue to learn how to best make use of this new information and the technology available for analyzing it. Text Mining brings together a broad range of contemporary qualitative and quantitative methods to provide strategic and practical guidance on analyzing large text collections. This accessible book, written by a sociologist and a computer scientist, surveys the fast-changing landscape of data sources, programming languages, software packages, and methods of analysis available today. Suitable for novice and experienced researchers alike, the book will help readers use text mining techniques more efficiently and productively.

Challenging mainstream technocultural assumptions of a raceless future, Afrofuturism explores culturally distinct approaches to technology. This special issue addresses the intersection between African diasporic culture and technology through literature, poetry, science fiction and speculative fiction, music, visual art, and the Internet and maintains that racial identity fundamentally influences technocultural practices. The collection includes a reflection on the ideologies of race created by cultural critics in their analyses of change wrought by the information age; an interview with Nalo Hopkinson, the award-winning novelist and author of speculative fiction novels Midnight Robber and Brown Girl in the Ring, who fuses futuristic thinking with Caribbean traditions; an essay on how contemporary R&B music presents African American reflections on the technologies of everyday life; and an article examining early interventions by the black community to carve out a distinct niche in cyberspace. Contributors. Ron Eglash, Anna Everett, Tana Hargest, Nalo Hopkinson, Tracie Morris, Alondra Nelson, Kalí Tal, Fatimah Tuggar, Alexander G. Weheliye Alondra Nelson is a Ph.D. candidate in the American Studies Program at New York University and is the Ann Plato Fellow at Trinity College. She will begin teaching in the African American Studies and Sociology Departments at Yale University in the fall of 2002. Contributors. Ron Eglash, Anna Everett, Tana Hargest, Nalo Hopkinson, Alondra Nelson, Tracie Morris, Kali Tal, Fatimah Tuggar, Alexander G. Weheliye