More social scientists are pointing out that the computer algorithms that run so much of our lives have our human, social biases baked in. This has serious consequences for determining who gets credit, who gets parole, and all kinds of other important life opportunities.

It also has some sillier consequences.

Last week NPR host Sam Sanders tweeted about his Spotify recommendations:

Y’all I think @Spotify is segregating the music it recommends for Me by the race of the performer, and it is so friggin’ hilarious pic.twitter.com/gA2wSWup6i

— Sam Sanders (@samsanders) March 21, 2018

Others quickly chimed in with screenshots of their own. Here are some of my mixes:

The program has clearly learned to suggest music based on established listening patterns and norms from music genres. Sociologists know that music tastes are a way we build communities and signal our identities to others, and the music industry reinforces these boundaries in their marketing, especially along racial lines.

These patterns highlight a core sociological point that social boundaries large and small emerge from our behavior even when nobody is trying to exclude anyone. Algorithms accelerate this process by the sheer number of interactions they can watch at any given time. It is important to remembers the stakes of these design quirks when talking about new technology. After all, if biased results come out, the program probably learned it from watching us!

It’s that time of year again! Fans across the nation are coming together to cheer on their colleges and universities in cutthroat competition. The drama is high and full of surprises as underdogs take on the established greats—some could even call it madness.

I’m talking, of course, about The International Championship of Collegiate A Cappella.

In case you missed the Pitch Perfect phenomenon, college a cappella has come a long way from the dulcet tones of Whiffenpoofs in the West Wing. Today, bands of eager singers are turning pop hits on their heads. Here’s a sampler, best enjoyed with headphones:

And competitive a cappella has gotten serious. Since its founding in 1996, the ICCA has turned into a massive national competition spawning a separate high school league and an open-entry, international competition for any signing group.

As a sociologist, watching niche hobbies turn into subcultures and subcultures turn into established institutions is fascinating. We even have data! Varsity Vocals publishes the results of each ICCA competition, including the scores and university affiliations of each group placing in the top-three of every quarterfinal, regional semifinal, and national final going back to 2006. I scraped the results from over 1300 placements to see what we can learn when a cappella meets analytics.

Watching a Conference Emerge

Organizational sociologists study how groups develop into functioning formal organizations by turning habits into routines and copying other established institutions. Over time, they watch how behaviors  become more bureaucratic and standardized.

We can watch this happen with the ICCAs. Over the years, Varsity Vocals has established formal scoring guidelines, judging sheets, and practices for standardizing extreme scores. By graphing out the distribution of groups’ scores over the years, you can see the competition get more consistent in its scoring over time. The distributions narrow in range, and they take a more normal shape around about 350 points rather than skewing high or low.

Gender in the A Cappella World

Gender is a big deal in a cappella, because many groups define their membership by gender as a proxy for vocal range. Coed groups get a wider variety of voice parts, making their sound more versatile, but gender-exclusive groups can have an easier time getting a blended, uniform sound. This raises questions about gender and inequality, and there is a pretty big gender gap in who places at competition.

In light of this gap, one interesting trend is the explosion of coed a cappella groups over the past twelve years. These groups now make up a much larger proportion of placements, while all male and all female groups have been on the decline.

Who Are the Powerhouse Schools?

Just like March Madness, one of my favorite parts about the ICCA is the way it brings together all kinds of students and schools. You’d be surprised by some of the schools that lead on the national scene. Check out some of the top performances on YouTube, and stay tuned to see who takes the championship next month!

The Washington Post has been collecting data on documented fatal police shootings of civilians since 2015, and they recently released an update to the data set with incidents through the beginning of 2018. Over at Sociology Toolbox, Todd Beer has a great summary of the data set and a number of charts on how these shootings break down by race.

One of the main policy reforms suggested to address this problem is body cameras—the idea being that video evidence will reduce the number of killings by monitoring police behavior. Of course, not all police departments implement these cameras and their impact may be quite small. One small way to address these problems is public visibility and pressure.

So, how often are body cameras incorporated into incident reporting? Not that often, it turns out. I looked at all the shootings of unarmed civilians in The Washington Post’s dataset, flagging the ones where news reports indicated a body camera was in use. The measure isn’t perfect, but it lends some important context.

Body cameras were only logged in 37 of 219 cases—about 17% of the time—and a log doesn’t necessarily mean the camera present was even recording. Sociologists know that organizations are often slow to implement new policies, and they don’t often just bend to public pressure. But there also hasn’t been a change in the reporting of body cameras, and this highlights another potential stumbling block as we track efforts for police reform.

The Star Tribune recently ran an article about a new study from George Washington University tracking cases of Americans who traveled to join jihadist groups in Syria and Iraq since 2011. The print version of the article was accompanied by a graph showing that Minnesota has the highest rate of cases in the study. TSP editor Chris Uggen tweeted the graph, noting that this rate represented a whopping seven cases in the last six years.

SCARY chart and headline, but story should have noted that MN had grand total of 7 cases since 2011. Fear-mongering? https://t.co/6506DwWpr3 pic.twitter.com/pPjkYc0MtD

— Chris Uggen (@chrisuggen) February 6, 2018

Here is the original data from the study next to the graph that the paper published:

Social scientists often focus on rates when reporting events, because it make cases easier to compare. If one county has 300 cases of the flu, and another has 30,000, you wouldn’t panic about an epidemic in the second county if it had a city with many more people. But relying on rates to describe extremely rare cases can be misleading. 

For example, the data show this graph misses some key information. California and Texas had more individual cases than Minnesota, but their large populations hide this difference in the rates. Sorting by rates here makes Minnesota look a lot worse than other states, while the number of cases is not dramatically different. 

As far as I can tell, this chart only appeared in the print newspaper photographed above and not on the online story. If so, this chart only went to print audiences. Today we hear a lot of concern about the impact of “filter bubbles,” especially online, and the spread of misleading information. What concerns me most about this graph is how it shows the potential impact of offline filter bubbles in local communities, too.

That large (and largely trademarked) sporting event is this weekend. In honor of its reputation for massive advertising, Lisa Wade tipped me off about this interesting content analysis of last year’s event by the Media Education Foundation.

MEF watched last year’s big game and tallied just how much time was devoted to playing and how much was devoted to ads and other branded content during the game. According to their data, the ball was only in play “for a mere 18 minutes and 43 seconds, or roughly 8% of the entire broadcast.”

MEF used a pie chart to illustrate their findings, but readers can get better information from comparing different heights instead of different angles. Using their data, I quickly made this chart to more easily compare branded and non-branded content.

One surprising thing that jumps out of this data is that, for all the hubbub about commercials, far and away the most time is devoted to replays, shots of the crowd, and shots of the field without the ball in play. We know “the big game” is a big sell, but it is interesting to see how the thing it sells the most is the spectacle of the event itself.

My gut reaction was that nobody is actually eating the freaking Tide Pods.

Despite the explosion of jokes—yes, mostly just jokes—about eating detergent packets, sociologists have long known about media-fueled cultural panics about problems that aren’t actually problems. Joel Best’s groundbreaking research on these cases is a classic example. Check out these short video interviews with Best on kids not really being poisoned by Halloween candy and the panic over “sex bracelets.”

[youtube]https://www.youtube.com/watch?v=Bav01pAZrNw[/youtube]

In a tainted Halloween candy study, Best and Horiuchi followed up on media accounts to confirm cases of actual poisoning or serious injury, and they found many cases couldn’t be confirmed or were greatly exaggerated. So, I followed the data on detergent digestion.

It turns out, there is a small trend. According to a report from the American Association of Poison Control Centers,

…in 2016 and 2017, poison control centers handled thirty-nine and fifty-three cases of intentional exposures, respectively, among thirteen to nineteen year olds. In the first fifteen days of 2018 alone, centers have already handled thirty-nine such intentional cases among the same age demographic.

That said, this trend is only relative to previous years and cannot predict future incidents. The life cycle of internet jokes is fairly short, rotating quickly with an eye toward the attention economy. It wouldn’t be too surprising if people moved on from the pods long before the panic dies out.

The rise of craft beer in the United States gives us more options than ever at happy hour. Choices in beer are closely tied to social class, and the market often veers into the world of pointlessly gendered products. Classic work in sociology has long studied how people use different cultural tastes to signal social status, but where once very particular tastes showed membership in the upper class—like a preference for fine wine and classical music—a world with more options offers status to people who consume a little bit of everything.

But who gets to be an omnivore in the beer world? New research published in Social Currents by Helana Darwin shows how the new culture of craft beer still leans on old assumptions about gender and social status. In 2014, Darwin collected posts using gendered language from fifty beer blogs. She then visited four craft beer bars around New York City, surveying 93 patrons about the kinds of beer they would expect men and women to consume. Together, the results confirmed that customers tend to define “feminine” beer as light and fruity and “masculine” beer as strong, heavy, and darker.

Two interesting findings about what people do with these assumptions stand out. First, patrons admired women who drank masculine beer, but looked down on those who stuck to the feminine choices. Men, however, could have it both ways. Patrons described their choice to drink feminine beer as open-mindedness—the mark of a beer geek who could enjoy everything. Gender determined who got “credit” for having a broad range of taste.

Second, just like other exclusive markers of social status, the India Pale Ale held a hallowed place in craft brew culture to signify a select group of drinkers. Just like fancy wine, Darwin writes,

IPA constitutes an elite preference precisely because it is an acquired taste…inaccessible to those who lack the time, money, and desire to cultivate an appreciation for the taste.

Sociology can get a bad rap for being a buzzkill, and, if you’re going to partake, you should drink whatever you like. But this research provides an important look at how we build big assumptions about people into judgments about the smallest choices.

2017 was a big year for conversations about representation in popular media—what it means to tell stories that speak to people across race, gender, sexuality, ability, and more. Between the hits and the misses, there is clearly much more work to do. Representation is not just about who shows up on screen, but also about what kinds of stories get told and who gets to make them happen.

For example, many people are now familiar with “The Bechdel Test” as a pithy shortcut to check for women’s representation in movies. Now, proposals for a new Bechdel Test cover everything from the gender composition of a film’s crew to specific plot points.

These conversations are especially important for the stories we make for kids, because children pick up many assumptions about gender and race at a very young age. Now, new research published in Sociological Forum helps us better understand what kinds of stories we are telling when we seek out a diverse range of children’s books.

Krista Maywalt Aronson, Brenna D. Callahan, and Anne Sibley O’Brien wanted to look at the most common themes in children’s stories with characters from underrepresented racial and cultural groups. Using a special collection of picture books for grades K-3 from the Ladd Library at Bates College, the authors gathered a data set of 1,037 books published between 2008 and 2015 (see their full database here). They coded themes from the books to see which story arcs occurred most often, and what groups of characters were most represented in each theme.

The most common theme, occurring in 38% of these books, was what they called “beautiful life”—positive depictions of the everyday lives of the characters. Next up was the “every child” theme in which main characters came from different racial or ethnic backgrounds, but those backgrounds were not central to the plot. Along with biographies and folklore, these themes occurred more often than stories of oppression or cross-cultural interaction.

These themes tackle a specific kind of representation: putting characters from different racial and ethnic groups at the center of the story. This is a great start, but it also means that these books are more likely to display diversity, rather than showing it in action. For example, the authors write:

Latinx characters were overwhelmingly found in culturally particular books. This sets Latinx people apart as defined by a language and a culture distinct from mainstream America, and sometimes by connection to home countries.

They also note that the majority of these books are still created by white authors and illustrators, showing that there’s even more work to do behind the scenes. Representation matters, and this research shows us how more inclusive popular media can start young!