Does @ASAnews publish standards for conduct with others at #asa16? I ask because I feel I have heard of a number of bad incidents this year.
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Adams points to navigating the jargon among wikipedia editors is critical to participant inclusion in knowledge production. #asa16
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Adams presents a lovely set of snappy editorial debate/snark that is (deeply!) part of the knowledge production process. #asa16
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Adams seems to suggest there may be (micro?)socio interactions among editorial groups within wikipedia that could shape outcomes. #asa16
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Adams asks how many in the audience have contributed to wikipedia. Sizable sociological representation here! #asa16
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Next up, Adams’ “The Crowd-Sourced Encyclopedia and the Enlightenment Project” #asa16 #wikipedia
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Bonikowski calls for more reasoned approach to big data, current result is “terrible papers, no theory on big questions.” #asa16 #optimism?
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Bonikowski web scraped all speeches from 13 years of European Parliament proceedings (100k+) and related attributes. #asa16 #s369
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Bonikowski: “big data” covers way too much: digital traces, digitized records, user-gen content, computational methods. #asa16 #s369
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Next up, “Digitized (Big) Data and Comparative Historical Sociology” #asa16
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Kizer: multiracial whites are more similar to monoracial whites in their racial preferences in dating (“whitening” hypothesis). #asa16 #s322
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Kizer finds that if daters are perceived to be Black or Latino (rather than White), they are actually more likely to exclude Whites. #asa16
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Kizer asks, how do racial preferences of multiracial daters compare to their monoracial counterparts? #asa16 #s322
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Next up, @cynfeliciano & @jessicamkizer’s “Perceived Race and Racial Preferences of Multiracial Daters” #asa16 #s322
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…when the 830am sessions increasingly require more caffeine as the #asa16 conference goes on...
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Come by “Teachers and their impact on youth’s school performance,” 1230pm, W. State Convention, rm. 305. Some good people speaking ;] #asa16
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Epstein: “I urge you to rush right out to buy (Wajcman's book) but to slow down to read it.” #timepuns #nice #asa16 #s204
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Epstein suggets to look at hookup apps (i.e., grindr) to examine how ICTs change time and space in ways that augment sociality. #asa16 #s204
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Last but not least, Steven Epsein’s take on Wajcman’s book about tech and constructed time. #asa16 #s204
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Aguera-Arcas gives a shout out to Google researchers/UX (w00t!) to “design first” with mind to users as a kind of activism. #asa16 #s204
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Aguera-Arcas finally talks about race — how tech companies sometimes don’t sample by race as a misguided way to not stereotype. #asa16 #s204
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Aguera-Arcas shows that machine learning is incredibly complex, with multiple feedback loops, showing system-level bias. #asa16 #s204
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(Fun watching Aguera-Arcas’s slide style, which is very “Googley,” and see it juxtaposed with how sociologists usually do it.) #asa16 #s204
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Aguera-Arcas is now talking about bias in technology, using google searches and finding, say, one woman “physicist” in images. #asa16 #s204
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Next up, Blaise Aguera-Arcas on Watchman’s book. Will be interesting to have a machine intelligence techie’s POV. #asa16
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Curious as to why race hasn’t really been floated yet in terms of analysis/policies for tech and time. #asa16 #s204
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