Algorithms, clickworkers, and the befuddled fury around Facebook Trends

The controversy about the human curators behind Facebook Trends has grown, since the allegations made last week by Gizmodo. Besides being a major headache for Facebook, it has helped prod a growing discussion about the power of Facebook to shape the information we see and what we take to be most important. But we continue …

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Facebook Trending: It’s made of people!! (but we should have already known that)

Gizmodo has released two important articles (1, 2) about the people who were hired to manage Facebook's "Trending" list. The first reveals not only how Trending topics are selected and packaged on Facebook, but also the peculiar working conditions this team experienced, the lack of guidance or oversight they were provided, and the directives they …

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#trendingistrending: when algorithms become culture

I wanted to share a new essay, "#Trendingistrending: When Algorithms Become Culture" that I've just completed for a forthcoming Routledge anthology called Algorithmic Cultures: Essays on Meaning, Performance and New Technologies, edited by Robert Seyfert and Jonathan Roberge. My aim is to focus on the various "trending algorithms" that populate social media platforms, consider what they do as a set, and then …

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“Critical algorithm studies” reading list

Nick Seaver and I have put together a list we wanted to share. It is an attempt to collect and categorize a growing critical literature on algorithms as social concerns. The work spans sociology, anthropology, science and technology studies, geography, communication, media studies, and legal studies, among others. Our aim was to catalog the emergence of “algorithms” as …

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A Research Agenda for Accountable Algorithms

What should people who are interested in accountability and algorithms be thinking about? Here is one answer: My eleven-minute remarks are now online from a recent event at NYU. I've edited them to intersperse my slides. This talk was partly motivated by the ethics work being done in the machine learning community. That is very exciting and …

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The Facebook “It’s Not Our Fault” Study

Today in Science, members of the Facebook data science team released a provocative study about adult Facebook users in the US "who volunteer their ideological affiliation in their profile." The study "quantified the extent to which individuals encounter comparatively more or less diverse" hard news "while interacting via Facebook’s algorithmically ranked News Feed."* The research found that …

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The Google Algorithm as a Robotic Nose

Algorithms, in the view of author Christopher Steiner, are poised to take over everything.  Algorithms embedded in software are now everywhere: Netflix recommendations, credit scores, driving directions, stock trading, Google search, Facebook's news feed, the TSA's process to decide who gets searched, the Home Depot prices you are quoted online, and so on. Just a …

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Corrupt Personalization

("And also Bud Light.") In my last two posts I've been writing about my attempt to convince a group of sophomores with no background in my field that there has been a shift to the algorithmic allocation of attention -- and that this is important. In this post I'll respond to a student question. My favorite: "Sandvig says that algorithms …

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Show-and-Tell: Algorithmic Culture

Last week I tried to get a group of random sophomores to care about algorithmic culture. I argued that software algorithms are transforming communication and knowledge. The jury is still out on my success at that, but in this post I'll continue the theme by reviewing the interactive examples I used to make my point. I'm sharing them …

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