Self-presentation, Social status, Social media, Common decency, Social classes, African American women, Stereotypes, and Upward mobility (Social sciences)
"Respectability politics" describes a self-presentation strategy historically adopted by African-American women to reject White stereotypes by promoting morality while de-emphasizing sexuality. While civil rights activists and feminists criticize respectability politics as reactionary, subordinated groups frequently use these tactics to gain upward mobility. This paper analyzes how upwardly mobile young people of low socio-economic status in New York City manage impressions online by adhering to normative notions of respectability. Our participants described how they present themselves on social media by self-censoring, curating a neutral image, segmenting content by platform, and avoiding content and contacts coded as lower class. Peers who post sexual images, primarily women, were considered unrespectable and subject to sexual shaming. These strategies reinforce racist and sexist notions of appropriate behavior, simultaneously enabling and limiting participants' ability to succeed. We extend the impression management literature to examine how digital media mediates the intersection of class, gender, and race. [ABSTRACT FROM AUTHOR]
RESEARCH ethics, BIG data, DATA security failures -- Prevention, and RESEARCH methodology
The article discusses the results of a two-year project which aimed to provide guidance to the National Science Foundation (NSF) on how to best encourage ethical practices in scientific and engineering research involving the use of big data research methods and infrastructures. The assumption that most data represent or impact people should be used to guide one's analysis. Researchers are also encouraged to situate and contextualize data to anticipate privacy breaches and minimize harm.
Zook, Matthew, Barocas, Solon, boyd, danah, Crawford, Kate, Keller, Emily, Gangadharan, Seeta Peña, Goodman, Alyssa, Hollander, Rachelle, Koenig, Barbara A., Metcalf, Jacob, Narayanan, Arvind, Nelson, Alondra, and Pasquale, Frank
Zook, M., S. Barocas, d. boyd, K. Crawford, E. Keller, S. P. Gangadharan, A. Goodman, et al. 2017. “Ten simple rules for responsible big data research.” PLoS Computational Biology 13 (3): e1005399. doi:10.1371/journal.pcbi.1005399. http://dx.doi.org/10.1371/journal.pcbi.1005399.
Social Sciences, Sociology, Social Research, Medicine and Health Sciences, Health Care, Health Services Research, Social Communication, Social Media, Computer and Information Sciences, Network Analysis, Social Networks, Data Acquisition, Information Technology, Data Processing, People and Places, Population Groupings, Professions, Scientists, Computing Methods, and Cloud Computing
Social Media, Research Methodology, Ethics, Privacy, Informed Consent, Public Opinion, Attention, Emotional Response, Power Structure, and Accountability
Published in 2014, the Facebook "emotional contagion" study prompted widespread discussions about the ethics of manipulating social media content. By and large, researchers focused on the lack of corporate institutional review boards and informed consent procedures, missing the crux of what upset people about both the study and Facebook's underlying practices. This essay examines the reactions that unfolded, arguing the public's growing discomfort with "big data" fueled the anger. To address these concerns, we need to start imagining a socio-technical approach to ethics that does not differentiate between corporate and research practices.
BLOGS, LECTURERS, TEENAGERS -- Social networks, SOCIAL media, and TEENAGERS' conduct of life
The article presents the text of a speech by blogger Danah Boyd given at the tenth Annual BlogHer Conference. Topics of the speech included her reflections on her early blogging years from 1997 to 2002, her experience with being regularly objectified as a public speaker, and her research into teenagers and their relationship to social media.
SOCIAL media research, TECHNOLOGY & youth, BULLYING, POLITICAL doctrines, and COMPUTER security
The widespread adoption of social media and other networked technologies by youth has prompted concerns about the safety issues they face when they go online, including the potential of being hurt by a stranger, being exposed to pornographic or violent content, and bullying or being bullied. These concerns often manifest as fears and anxieties in parents and can lead to pervasive moral panics. Eager to shield children from potential risks, parents-and lawmakers-often respond to online safety concerns by enacting restrictions with little consideration for the discrepancy between parental concern and actual harm. As this article shows, parental fears are not uniform across different population groups. Our findings demonstrate that, while concern may be correlated with experiencing online safety risks, parental concerns with respect to online safety issues also vary significantly by background-notably race and ethnicity, income, metropolitan status, and political ideology. As policies develop to empower parents, more consideration must be given to how differences in parental fears shape attitudes, practices, and norms. [ABSTRACT FROM AUTHOR]
DIGITAL communications, SOCIAL scientists, DIGITAL technology, BEHAVIORAL scientists, and ECONOMISTS
The era of Big Data has begun. Computer scientists, physicists, economists, mathematicians, political scientists, bio-informaticists, sociologists, and other scholars are clamoring for access to the massive quantities of information produced by and about people, things, and their interactions. Diverse groups argue about the potential benefits and costs of analyzing genetic sequences, social media interactions, health records, phone logs, government records, and other digital traces left by people. Significant questions emerge. Will large-scale search data help us create better tools, services, and public goods? Or will it usher in a new wave of privacy incursions and invasive marketing? Will data analytics help us understand online communities and political movements? Or will it be used to track protesters and suppress speech? Will it transform how we study human communication and culture, or narrow the palette of research options and alter what ‘research’ means? Given the rise of Big Data as a socio-technical phenomenon, we argue that it is necessary to critically interrogate its assumptions and biases. In this article, we offer six provocations to spark conversations about the issues of Big Data: a cultural, technological, and scholarly phenomenon that rests on the interplay of technology, analysis, and mythology that provokes extensive utopian and dystopian rhetoric. [ABSTRACT FROM AUTHOR]