(or, Are We Social Insects?)
I worried that my last blog post was too short and intellectually ineffectual. But given the positive feedback I’ve received, my true calling may be to write top ten lists of other people’s ideas, based on conferences I attend. So here is another list like that.
These are my notes from my attendance at “Algorithmic Culture,” an event in the University of Michigan’s Digital Currents program. It featured a lecture by the amazing Ted Striphas. These notes also reflect discussion after the talk that included Megan Sapnar Ankerson, Mark Ackerman, John Cheney-Lippold and other people I didn’t write down.
Ted has made his work on historicizing the emergence of an “algorithmic culture” (Alex Galloway‘s term) available widely already, so my role here is really just to point at it and say: “Look!” (Then applaud.)
If you’re not familiar with this general topic area (“algorithmic culture”) see Tarleton Gillespie’s recent introduction The Relevance of Algorithms and then maybe my own writing posse’s Re-Centering the Algorithm. OK here we go:
Eight Questions About Algorithms and Culture
- Are algorithms centralizing? Algorithms, born from ideas of decentralized control and cybernetics, were once seen as basically anti-hierarchical. Fifty years ago we searched for algorithms in nature and found them decentralized — today engineers write them and we find them centralizing.
- OR, are algorithms fundamentally democratic? Even if Google and Facebook have centralized the logic, they claim “democracy!” because we provide the data. YouTube has no need of kings. The LOLcats and fail videos are there by our collective will.
- Many of today’s ideas about algorithms and culture can be traced to earlier ideas about social insects. Entomology once noted that termites “failed to evolve” because their algorithms, based on biology, were too inflexible. How do our algorithms work? Too inflexible? (and does this mean we are social insects?)
- The specific word “algorithm” is a recent phenomenon, but the idea behind it is not new. (Consider: plan, recipe, procedure, script, program, function, …) But do we think about these ideas differently now? If so, maybe it is who looks at them and where they look. In early algorithmic thinking people were the logic and housed the procedure. Now computers house the procedure and people are the operands.
- Can “algorithmic culture” be countercultural? Fred Turner and John Markoff have traced the links between the counterculture and computing. Striphas argued that counterculture-like influences on what would become modern computing came much earlier than the 60s: consider the influence of WWII and The Holocaust. For example, Talcott Parsons saw culture through the lens of anti-authoritarianism. He also saw culture as the opposite of state power. Is culture fundamentally anti-state? This also leads me to ask: Is everything always actually about Hitler in the end?
- Today, the computer science definition of “algorithm” is similar to anthropologist Clifford Geertz’s definition of culture in 1970s — that is, a recipe, plan, etc. Why is this? Is this significant?
- Is Reddit the conceptual anti-Facebook? Reddit publicly discloses the algorithm that it uses to sort itself. There have been calls for Facebook algorithm transparency on normative grounds. What are the consequences of Reddit’s disclosure, if any? As Reddit’s algorithm is not driven by Facebook’s business model, does that mean these two social media platform sorting algorithms are mathematically (or more properly, procedurally) opposed?
- Are algorithms fundamentally about homeostasis? (That’s the idea, prevalent in cybernetics and 1950s social science, that the systems being described are stable.) In other words, when algorithms are used today is there an implicit drive toward stability, equilibrium, or some other similar implied goal or similar standard of beauty for a system?
Whew, I’m done. What a great event!
I’m skeptical about that last point (algorithms = homeostasis) but the question reminds me of “The Use and Abuse of Vegetational Concepts,” part 2 of the 2011 BBC documentary/insane-music-video by Adam Curtis titled All Watched Over by Machines of Loving Grace. It is a favorite of mine. Although I think many of the implied claims are not true, it’s worth watching for the soundtrack and jump cuts alone.
It’s all about cybernetics and homeostasis. I’ll conclude with it… “THIS IS A STORY ABOUT THE RISE OF THE MACHINES”:
Some of us also had an interesting side conversation about what job would be the “least algorithmic.” Presumably something that was not repeatable — it differs each time it is performed. Some form of performance art? This conversation led us to think that everything is actually algorithmic.
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