Despite the fact that women played a key role in the development of modern technology, the digital domain is a disproportionately male space. Recent stories about the politics of GamerGate, “tech bros” in Silicon Valley, and resistance to diversity routinely surface despite efforts of companies such as Google to clean up their act by firing reactionary male employees.

The big tech story of the past year is unquestionably cryptocurrencies such as Bitcoin. So it’s a good time to look at how cryptos replicate the gender politics of digital spaces and where they might complicate them.

Women’s Representation

Crypto holders are not evenly divided between men and women. One recent survey shows that 71% of Bitcoin holders are male. The first challenge for women is simply their representation within the crypto space.

There are various efforts on the part of individual women to address the imbalance. For example, Stacy Herbert, co-host of The Keiser Report, has recently been discussing the possibility of a women’s crypto conference noting, “I know so so many really smart women in the space but you go to these events and it’s panels of all the same guys again and again.” Technology commentator Alexia Tsotsis recently tweeted, “Women, consider crypto. Otherwise the men are going to get all the wealth, again.”

Clearly, the macho nature of the crypto community can feel exclusionary to women. Recently Bloomberg reported on a Bitcoin conference in Miami that invited attendees to an after-hours networking event held in a strip club. As one female attendee noted, “There was a message being sent to women, that, ‘OK, this isn’t really your place … this is where the boys roll.’”

The image of women as presented by altcoins (cryptocurrencies other than Bitcoin) is also telling. One can buy into TittieCoin or BigBoobsCoin, which need no further explanation. There is also an altcoin designed to resist this tendency, Women Coin: “Women coin will become the ultimate business coin for women. We all know that this altcoin market is mainly operated by men, just like the entire world. We want to stop this.”

Cryptomasculinities

The male dominance of cryptos suggests it is a space that celebrates normative masculinity. Certain celebrity endorsements of crypto projects have added to this mood, such as heavyweight boxer Floyd Mayweather, actor Steven Seagal and rapper Ghostface Killah. Crypto evangelist John McAfee routinely posts comments and pictures concerning guns, hookers and drugs. Reactionary responses to feminism can also be found: for example, patriarchal revivalist website Return of Kings published an article claiming, “Bitcoin proves that that ‘glass ceiling’ keeping women down is a myth.” Homophobia also occurs: when leading Bitcoin advocate Andreas Antonopoulos announced he was making a donation to the LGBTQ-focused Lambda Legal he received an array of homophobic comments.

However, it would be wrong to assume the masculinity promoted in the crypto space is monolithic. In particular, it is possible to identify a division between Bitcoin and altcoin holders. Consider the following image:

This image was tweeted with the caption “Bitcoin and Ethereum community can’t be anymore different.” On the left we have a MAGA hat-wearing, gun-toting Bitcoin holder; on the right the supposedly effeminate Vitalik Buterin, co-founder of the blockchain platform Ethereum. The longer you spend reading user-generated content in the crypto space, the more you get the sense that Bitcoin is “for men” while altcoins are framed as for snowflakes and SJWs.

There is an exception to this Bitcoin/altcoin gendered distinction: privacy coins such as Monero and Zcash appear to be deemed acceptably manly. Perhaps it is a coincidence that such altcoins are favored by Julian Assange, who has his own checkered history with gender politics ranging from his famed “masculinity test” through to the recent quips about feminists reported by The Intercept.

In conclusion, it is not surprising that the crypto space appears to be predominantly male and even outright resistant to fair representations of women. Certainly, it is not too dramatic to state that Bitcoin has a hyper-masculine culture, but Bitcoin does not represent the whole crypto space, and as both altcoins and other blockchain-based services become more diverse it is likely that so too will its representations of gender.

Joseph Gelfer is a researcher of men and masculinities. His books include Numen, Old Men: Contemporary Masculine Spiritualities and The Problem of Patriarchy and Masculinities in a Global Era. He is currently developing a new model for understanding masculinity, The Five Stages of Masculinity.

Today students across the country are walking out of school to protest violence and demand gun control reform. Where do Americans stand on this issue, and have their views changed over time? Government policy makes it difficult to research gun violence in the United States, but we do have some trend data from the General Social Survey that offers important context about how Americans view this issue.

For over forty years, the GSS has been asking its respondents whether they “favor or oppose a law which would require a person to obtain a police permit before he or she could buy a gun”—a simple measure to take the temperature on basic support for gun control. Compared to other controversial social policies, there is actually widespread and consistent support for this kind of gun control.

In light of the Second Amendment, however, the U.S. has a reputation for having a strong pro-gun culture. Is this true? It turns out there has been a dramatic shift in the proportion of respondents who report even having a gun in their homes. Despite this trend, gun sales are still high, suggesting that those sales are concentrated among people who already own a gun.

Recent controversies over gun control can make it seem like the nation is deeply and evenly divided. These data provide an important reminder that gun control is actually pretty popular, even though views on the issue have become more politically polarized over time.

Inspired by demographic facts you should know cold, “What’s Trending?” is a post series at Sociological Images featuring quick looks at what’s up, what’s down, and what sociologists have to say about it.

Ryan Larson is a graduate student from the Department of Sociology, University of Minnesota – Twin Cities. He studies crime, punishment, and quantitative methodology. He is a member of the Graduate Editorial Board of The Society Pages, and his work has appeared in Poetics, Contexts, and Sociological Perspectives.

Evan Stewart is a Ph.D. candidate in sociology at the University of Minnesota. You can follow him on Twitter.

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.

Evan Stewart is an assistant professor of sociology at University of Massachusetts Boston. You can follow his work at his website, or on BlueSky.

As I was scrolling through Facebook a few weeks ago, I noticed a new trend: Several friends posted pictures (via an app) of what they would look like as “the opposite sex.” Some of them were quite funny—my female-identified friends sported mustaches, while my male-identified friends revealed long flowing locks. But my sociologist-brain was curious: What makes this app so appealing? How does it decide what the “opposite sex” looks like? Assuming it grabs the users’ gender from their profiles, what would it do with users who listed their genders as non-binary, trans, or genderqueer? Would it assign them male or female? Would it crash? And, on a basic level, why are my friends partaking in this “game?”

Gender is deeply meaningful for our social world and for our identities—knowing someone’s gender gives us “cues” about how to categorize and connect with that person. Further, gender is an important way our social world is organized—for better or worse. Those who use the app engage with a part of their own identities and the world around them that is extremely significant and meaningful.

Gender is also performative. We “do” gender through the way we dress, talk, and take up space. In the same way, we read gender on people’s bodies and in how they interact with us. The app “changes people’s gender” by changing their gender performance; it alters their hair, face shape, eyes, and eyebrows. The app is thus a outlet to “play” with gender performance. In other words, it’s a way of doing digital drag. Drag is a term that is often used to refer to male-bodied people dressing in a feminine way (“drag queens”) or female-bodied people dressing in a masculine way (“drag kings”), but all people who do drag do not necessarily fit in this definition. Drag is ultimately about assuming and performing a gender. Drag is increasingly coming into the mainstream, as the popular reality TV series RuPaul’s Drag Race has been running for almost a decade now. As more people are exposed to the idea of playing with gender, we might see more of them trying it out in semi-public spaces like Facebook.

While playing with gender may be more common, it’s not all fun and games. The Facebook app in particular assumes a gender binary with clear distinctions between men and women, and this leaves many people out. While data on individuals outside of the gender binary is limited, a 2016 report from The Williams Institute estimated that 0.6% of the U.S. adult population — 1.4 million people — identify as transgender. Further, a Minnesota study of high schoolers found about 3% of the student population identify as transgender or gender nonconforming, and researchers in California estimate that 6% of adolescents are highly gender nonconforming and 20% are androgynous (equally masculine and feminine) in their gender performances.

The problem is that the stakes for challenging the gender binary are still quite high. Research shows people who do not fit neatly into the gender binary can face serious negative consequences, like discrimination and violence (including at least 28 killings of transgender individuals in 2017 and 4 already in 2018).  And transgender individuals who are perceived as gender nonconforming by others tend to face more discrimination and negative health outcomes.

So, let’s all play with gender. Gender is messy and weird and mucking it up can be super fun. Let’s make a digital drag app that lets us play with gender in whatever way we please. But if we stick within the binary of male/female or man/woman, there are real consequences for those who live outside of the gender binary.

Recommended Readings:

• Baker Rogers. 2016. “Live Like a King Ya’ll: Gender Negotiation and the Performance of Masculinity among Southern Drag Kings.” Sexualities 19(1/2): 46-63.
• Judith Butler. Gender Trouble: Feminism and the Subversion of Identity (1990) and Bodies that Matter: On the Discursive Limits of Sex (1993).
• Kristen Schilt and Laurel Westbrook. 2009. “Doing Gender, Doing Heteronormativity: ‘Gender Normals,’ Transgender People, and the Social Maintenance of Heterosexuality.” Gender & Society 23(4): 440–64.

Allison Nobles is a PhD candidate in sociology at the University of Minnesota and Graduate Editor at The Society Pages. Her research primarily focuses on sexuality and gender, and their intersections with race, immigration, and law.

Valentine’s Day is upon us, but in a world of hookups and breakups many people are concerned about the state of romance. Where do Americans actually stand on sex and relationships? We took a look at some trends from the General Social Survey. They highlight an important point: while Americans are more accepting of things like divorce and premarital sex, that doesn’t necessarily mean that both are running rampant in society.

For example, since the mid 1970s, Americans have become much more accepting of sex before marriage. Today more than half of respondents say it isn’t wrong at all.

However, these attitudes don’t necessarily mean people are having more sex. Younger Americans today actually report having no sexual partners more frequently than people of the same age in earlier surveys.

And what about marriage? Americans are more accepting of divorce now, with more saying a divorce should be easier to obtain.

But again, this doesn’t necessarily mean everyone is flying the coop. While self-reported divorce rates had been on the rise since the mid 1970s, they have largely leveled off in recent years.

It is important to remember that for core social practices like love and marriage, we are extra susceptible to moral panics when faced with social change. These trends show how changes in attitudes don’t always line up with changes in behavior, and they remind us that sometimes we can save the drama for the rom-coms.

Inspired by demographic facts you should know cold, “What’s Trending?” is a post series at Sociological Images featuring quick looks at what’s up, what’s down, and what sociologists have to say about it.

Ryan Larson is a graduate student from the Department of Sociology, University of Minnesota – Twin Cities. He studies crime, punishment, and quantitative methodology. He is a member of the Graduate Editorial Board of The Society Pages, and his work has appeared in Poetics, Contexts, and Sociological Perspectives.

Evan Stewart is a Ph.D. candidate in sociology at the University of Minnesota. You can follow him on Twitter.

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.

Evan Stewart is an assistant professor of sociology at University of Massachusetts Boston. You can follow his work at his website, or on BlueSky.

Recent reports indicated that FEMA was cutting—and then not cutting—hurricane relief aid to Puerto Rico. When Donald Trump recently slandered Puerto Ricans as lazy and too dependent on aid after Hurricane Maria, Fox News host Tucker Carlson stated that Trump’s criticism could not be racist because “Puerto Rico is 75 percent white, according to the U.S. Census.”

This statement presents racism as a false choice between nonwhite people who experience racism and white people who don’t. It ignores the fact that someone can be classed as white by one organization but treated as non-white by another, due to the way ‘race’ is socially constructed across time, regions and social contexts.

Whiteness for Puerto Ricans is a contradiction. Racial labels that developed in Puerto Rico were much more fluid than on the U.S. mainland, with at least twenty categories. But the island came under U.S. rule at the height of American nativism and biological racism, which relied on a dichotomy between a privileged white race and a stigmatized black one that was designed to protect the privileges of slavery and segregation. So the U.S. portrayed the islanders with racist caricatures in cartoons like this one:

Clara Rodriguez has shown how Puerto Ricans who migrated to the mainland had to conform to this white-black duality that bore no relation to their self-identifications. The Census only gave two options, white or non-white, so respondents who would have identified themselves as “indio, moreno, mulato, prieto, jabao, and the most common term, trigueño (literally, ‘wheat-colored’)” chose white by default, simply to avoid the disadvantage and stigma of being seen as black bodied.

Choosing the white option did not protect Puerto Ricans from discrimination. Those who came to the mainland to work in agriculture found themselves cast as ‘alien labor’ despite their US citizenship. When the federal government gave loans to white home buyers after 1945, Puerto Ricans were usually excluded on zonal grounds, being subjected to ‘redlining’ alongside African Americans. Redlining was also found to be operating on Puerto Rico itself in the insurance market as late as 1998, suggesting it may have even contributed to the destitution faced by islanders after natural disasters.

The racist treatment of Puerto Ricans shows how it is possible to “be white” without white privilege. There have been historical advantages in being “not black” and “not Mexican”, but they have not included the freedom to seek employment, housing and insurance without fear of exclusion or disadvantage. When a hurricane strikes, Puerto Rico finds itself closer to New Orleans than to Florida.

An earlier version of this post appeared at History News Network

Jonathan Harrison, PhD, is an adjunct Professor in Sociology at Florida Gulf Coast University, Florida SouthWestern State College and Hodges University whose PhD was in the field of racism and antisemitism.

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.

Evan Stewart is an assistant professor of sociology at University of Massachusetts Boston. You can follow his work at his website, or on BlueSky.