Critical Public Health
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![]() App-ography: A critical perspective on medical and health apps |
![]() The Addiction Algorithm: An interview with Natasha Dow Schüll |
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![]() App-ography: A critical perspective on medical and health apps |
![]() The Addiction Algorithm: An interview with Natasha Dow Schüll |
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![]() From San Francisco to Cairo and back again: Collaborating across cultures |
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![]() “Hey, y’all got to understand – y’all prolly scared of us… we scared of y’all too!” |
The vision of an ethnographer physically going to a place, establishing themselves in the activities of that place, talking to people and developing deeper understandings seems so much simpler than the same activities in multifaceted spaces like Wikipedia. Researching how Wikipedians manage and verify information in rapidly evolving news articles in my latest ethnographic assignment, I sometimes wish I could simply go to the article as I would to a place, sit down and have a chat to the people around me.
![]() Beyond reliability: An ethnographic study of Wikipedia sources |
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Imagine that there is a community or culture of people that use social media–let’s focus on Twitter–in a particularly interesting or funny or outlandish way. Would you give it a name? Would you try to understand its size or its structure? Its history? Its purpose? How would you go about doing that?
Could it be studied by an anthropologist? A data scientist? An economist? A philosopher? A critic? A journalist? Could it ever understand itself?
I’m getting ahead of myself. Let’s start with a name: Weird Twitter.
When Tricia asked me to contribute a series on Ethnography Matters, I thought that I would take this opportunity to bring together the notes on digital ethnography that I have collected over the last couple of years. I would like to push the boundaries of computational usage in ethnographic processes a bit here. I really want to expand the definition of digital ethnography beyond the use of computers, tablets, and smart phones as devices to interact with online communities, or to capture, transfer, and store field media.
In this three-part series, I am going to discuss how working with computational tools could widen the scope of ethnographic work and deepen our practice. I will stay mostly within the domain of data gathering in this first post. In the second post, I will talk about the process of field data interpreting and visualizing; and the last post, I will focus on how the digital may transform ethnographic narrative and argumentation.
As ethnographers, we are familiar with origin stories, and The Asthma Files possesses its own. Mike Fortun and Kim Fortun first envisioned The Asthma Files while participating in an NIH-funded collaborative effort (led by health policy researcher Alexandra Shields, director of the Center for Genetics, Health Disparities and Vulnerable Populations at Harvard) to develop gene-environment interaction research responsive to health disparities, using asthma as a case study. A key event in this collaborative effort was a June 2006 workshop at Harvard brought together diverse researchers to consider possibilities and challenges. A key goal was to identify genetic study designs that incorporated sound environmental indicators.
![]() Innovation in Asthma Research: Using Ethnography to Study a Global Health Problem (2 of 3) |
![]() Innovation in Asthma Research: Using Ethnography to Study a Global Health Problem (3 of 3) |
My name is Whitney Phillips, and I study trolls. Well, not just trolls. I’ve also written about meme culture, so-bad-it’s-good fan engagement (my essay on the kuso aesthetic in Troll 2 is forthcoming in Transformative Works and Cultures), and online shaming. But for the better part of five-ish years, my life has revolved around trolls and the trolls who troll them. The title of my dissertation—THIS IS WHY WE CAN’T HAVE NICE THINGS: The Origins, Evolution and Cultural Embeddedness of Online Trolling—pretty much says it all.
![]() Ethnography of Trolling: Workarounds, Discipline-Jumping & Ethical Pitfalls (2 of 3) |
![]() Ethnography of Trolling: Workarounds, Discipline-Jumping & Ethical Pitfalls (3 of 3) |
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![]() Ethnographer’s Reading List: Jay Owens’s Summer Reading [guest contributor] |
![]() The Ethnographer’s Reading List: Carla Borsoi’s Summer Reading [guest contributor] |
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Research is hard to do. Much of it is left to the specialists who carry on in school 4-10 more years after completing a first degree to acquire the proper training. It’s not only hard to do, it’s also hard to read and understand and extrapolate from. Mass media coverage of science and social research is rife with misinterpretations – overgeneralizations, glossing over research limitations, failing to adequately consider the characteristics of subject populations. Does more data or “big data” in any way, shape, or form alter this state of affairs? Is it the case, as Wired magazine (provocatively…arrogantly…and ignorantly) suggests that “the data deluge makes the scientific method obsolete” and “with enough data, the numbers speak for themselves?”
![]() The Ethnographer’s Complete Guide to Big Data: Answers (part 2 of 3) |
![]() The Ethnographer’s Complete Guide to Big Data: Conclusions (part 3 of 3) |
Corporate ethnography’s emergence ignited criticism that its quality and rigour was not as good as the ethnography practiced by academics. Academically trained social scientists have argued that private-sector practitioners are often not trained in anthropology or sociology, much less in the actual method of ethnography. Academics have argued that using ethnography for marketing and advertising is just more evidence of underhanded marketers attempting to dupe people into consumerism (Caron & Caronia, 2007). And they are right.
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![]() Practicing Reflexivity in Ethnography (Part 3 of 3) [guest contributor] |
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