All Tomorrow's Cultures

The American Anthropological Annual Meeting has come and gone after a year hiatus. But, courtesy of the continued pandemic, it was not business as usual, and a combination of uneven face-to-face/online hybridity and a buggy app meant continued confusion throughout the conference. Adding to that confusion was the multiplication of conference hashtags, a continuing source of ambiguity that I have chronicled on this blog over the years. This year, #AAA2021Baltimore was joined by numerous, other hashtags: #AAA2021, #AAABaltimore, #AmAnth2021. Here’s a sociograph of different hashtags: In the lower left of the graph, you can see #AAA2021Baltimore, the “official” hashtag, mostly deployed by @AmericanAnththro--accounting for the “hub and spoke” pattern of that cluster.. The largest clusters, though, belong to the AAA--that is, the Asian Artist Awards--and, in particular, the popular vote category, which generated at least 80 percent of Twitter traffic around AAA2021 (congratulations ...

For many of us in anthropology, the advent of “big data'' represents a threat.  Why, after all, spend months developing rapport and interviewing 100 people when you can run sentiment analyses on 40 million tweets in a matter of hours?  Still, I agree with Tricia Wang , who urges us to engage big data and complement that work with our own “thick data.”  In “thick data,” the depths of our insights into meaning and interpretation, “the native’s point of view,” could act as a corrective to billions of data points that may “speak for themselves,” as Chris Anderson claimed, but not, perhaps, for people.  Ironically, this move to “thick data'' was enabled by the gradual choking off of data access to social media APIs.  Facebook, Instagram, Twitter - one by one social media platforms began limiting third-party access to their data, under the cover of protecting users from infringements on their privacy.  Well, not all third-party access.  Corporations and sele...