CompuQueer: Protocological Constraints, Algorithmic Streamlining, and the Search for Queer Methods Online

Tsika, Noah

doi:10.1353/wsq.2016.0038

Cited by 3 publications

(1 citation statement)

References 19 publications

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“…These institutions gradually use Big Data algorithms and models to replace humans in organizational decision-making, from optimizing the highest returns for an advertisement, identifying health insurance fraud, to defining the quality of time spent on social media. In many recent cases, computational sorting and monitoring systems are found to further segregate and marginalize historically disadvantaged communities and reinforce social norms that are inherently racist, sexist, or homophobic (Eubanks, 2018;Scannell, 2018;Tsika, 2016). Furthermore, digital service sites also provide the state more advanced technological instruments (e.g., facial recognition and photo-search technologies) for the purpose of control and repression.…”

Section: Social Media As Ethnographic Sitesmentioning

confidence: 99%

Doing Ethnography on Social Media: A Methodological Reflection on the Study of Online Groups in China

Wang

Liu

2021

Qualitative Inquiry

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This article draws on the two authors’ extensive fieldwork experiences in studying Chinese feminists and lawyers on social media to offer some thoughts on how to conduct qualitative research in the digitalized world. We argue that qualitative methods such as participation observation, in-depth interview, and textual analysis can provide thick descriptions and deep, localized knowledge of social processes that go far beyond the sketches of Big Data. Social science data collection and analysis on social media need not only Big Data’s bird’s-eye view, but also the day-to-day ethnographic immersion—“living on the sites” and interacting with research subjects over a long period of time. The rise of social media has not changed the basic principles of doing ethnography, such as the importance of immersion and reflexivity. Nevertheless, ethnography of online groups presents new challenges and opportunities in terms of accessing field sites, analyzing ethnographic data, and research ethics.

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Section: Social Media As Ethnographic Sitesmentioning

confidence: 99%