Why Popular Boy Names are More Popular than Popular Girl Names

Originally posted at Feminist Reflections.

UPDATE (4/18/19): I discovered that Andrew Gelman posted on this same trend with top ten boy and girl names in 2013. His post and a link to a piece he published in NYT is HERE.

In my introduction to Sociology class, I use trends in baby names to introduce students to sociological research and inquiry. It’s a fun way to show students just how much we can learn from what might feel like idiosyncratic details of our lives. I start by showing students the top 10 boy and girl names from the most recent year of data available (along with their relative frequencies). After this, I show them the most popular names and their relative frequencies from 100 years earlier. There are some names on both lists; but for the most part, the names on the latter list sound “old” to students. Screen Shot 2016-02-19 at 12.37.09 PM

When I ask students to characterize the types of names they see on the older list of names, someone usually says the names sound more “traditional.” I tell them that in 100 years, someone will probably say that about the most recent list of names they’re looking at: these future students will have a different idea of what makes a name “traditional.”

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If you’re interested, someone produced these two GIF files that depict the most popular names by state between 1960 and 2012. I like to show one of these while I’m talking with students about what what names can help us learn. I ask students to raise their hand when they see their own name or the name of their best friend. As we get into the 80’s and 90’s, lots of hands start going up. But the GIFs are also interesting because they are a powerful visualization of the spread of cultural norms. Popular names move through a population in a way that appears to be similar to infectious diseases.

This is a fun way to show students that deciding what to name a child might feel like a personal decision, it’s actually a decision that is shaped by social forces. Names and name trends are great examples of what sociology can reveal because, as Stanley Lieberson points out so simply, while taste in most elements of culture is not a requirement, everyone has tastes in names. And, as it turns out, we can learn a lot about a society just by looking at patterns in which names we select for our children (and equally important are the types of names different groups tend to avoid).

SIDENOTE: I like to highlight a great finding by Stanley Lieberson, Susan Dumais, and Shyon Baumann from their article on trends in androgynous names (here). Androgynous names are names that are given to both boys and girls–think Taylor, Cameron, or Casey for current examples. Lieberson, Dumais, and Baumann found that androgynous names follow an incredibly common pattern once they achieve a critical level of popularity: they become girl names and become dramatically less common names for boys–a powerful example of the stigma associated with femininity for boys.

When I first started using the exercise, I was fascinated with the relative frequencies much more than the names on each list. But it’s an amazing shift. More than 1 in 20 girls born in 1914 was named Mary (the most popular name that year – and many other years too if you’re interested). By 2014, just over 1 in 100 girls born were given the most popular name that year, “Emma.” This is part of a larger trend in naming practices–popular names just aren’t as popular as they used to be. Stanley Lieberson refers to this as the “modernization theory” of name trends. The theory suggests that as institutional pressures associated with names decline (e.g., extended family rituals, religious rules), we see the proliferation of more diverse names. But there’s a twist. The phenomenon is also gendered: popular boy names have always been more popular (in aggregate) that popular girl names. Below, I’ve charted the proportion of boys and girls born in the U.S. with top 10 names from 1880-2014. Boys given top ten names in 1880, for instance, accounted for more than 40% of all boys born. And the most popular boy names have always accounted for a larger share of all boys born than the most popular girl names for girls born. It’s not a new fact and I’m not the first to notice it. (Though, as you can see below, the lines have just recently met, and they could conceivably cross paths any year now. And that will be something that has never happened.)Baby Name FrequenciesIn 1965, Alice Rossi suggested that part of what accounts for the discrepancy is related to gender inequality. As she put it, “Men are the symbolic carriers of the temporal continuity of the family” (here). Lieberson and Eleanor Bell later discovered that girls are more likely to have unique names as well (here). It’s an interesting example of something that many people teach in courses on men and masculinities. While men are, as a group, systematically advantaged, they may be held accountable to a more narrow range of gender performances than are women. And while men’s rights groups might frame this as an illustration of women being the group to benefit from gender inequality, it’s much better understood as what Michael Messner refers to as a “cost of privilege.”

Yet, this appears to be one costs of privilege that has decreased. In 1880, the top 10 boy names accounted for 41.26% of all boys born that year; the top 10 girl names accounted for 22.98%. There was more than an 18% gap. While boys’ popular names are still more popular than girls’ popular names, the gap shrunk to 0.27% by 2014. That’s a monumental shift. And I’m sure the modernization theory of name trends accounts for the lion’s share of the more general shift toward more secular names and a general decrease in name continuity between fathers and sons. But there is more than one way to read this shift. We might also say that this is a really simple illustration of one way that patriarchal family traditions have been chipped away over the past 100 years. Lots of data would support this conclusion.  We might account for it alongside, for instance, data showing the prevalence of women taking men’s surnames after marriage as a percentage of all marriages in a given year or opinions about surname change.  But it’s also an illustration of the ways that this process has meant changes for boys and men as well.

Masculinity has, quite literally, opened up. It’s something that has happened more for some racial and class groups than others. And whether this transformation–this “opening up”–is a sign of gender inequality being successfully challenged or reproduced in new and less easily recognizable ways is the subject of my favorite corner of the field.

 

 

Thinking Sociologically about #OscarsSoWhite: Measuring Inequality in Hollywood

Originally posted at Feminist Reflections

1498787_10202083647508448_647008496_oThe 2016 Oscar nominations were just announced.  This is the second year in a row that all 20 acting nominees are white–prompting the hashtag #OscarsSoWhite.  Matthew Hughey wrote on this issue last year as well.  The announcement got me thinking about inequality in film.  The nominees are selected by just over 7,000 members of the Academy of Motion Picture Arts and Sciences–so they are elected by a panel of peers.  But members of the AMPAS are not automatically voting members.  You have to apply, and your application has to be sponsored by existing member of the branch of the Academy for which you would like to be considered (here).  So, while the Oscars are awarded by a panel of peers, who make up the list of people who qualify as “peers” in the first place is a political matter.  And just like anywhere else, knowing someone who knows someone likely plays a role in gaining access.

Sociologists who study networks are often interested in how social networks provide access to various things people might want to acquire (wealth, status, access, “success” more generally, etc.).  This is why we have a concept for just how networked you are: “social capital.”  And certainly lots of people are complaining about the fact that Hollywood is an old, white, boy’s club and attempting to change this.  Indeed, Genna Davis founded an institute to study gender in the media.  April Reign (an editor at Broadway Black and NU Tribe Magazine) founded the hashtag #OscarsSoWhite after the all-white slate of nominees were announced last year.  And Maureen Dowd of The New York Times wrote an extensive article last year on the entrenched sexism that keeps women from occupying central roles in Hollywood.  Jessica Piven, one of directors quoted in the article, said:

“I feel that there is something going on underneath all of this which is the idea that women aren’t quite as interesting as men. That men have heroic lives, do heroic things, are these kind of warriors in the world, and that women have a certain set of rooms that they have to operate in.”

This belief system results in a network saturated with men and with precious few opportunities for women–and even fewer for women of color.  And as Effie Brown’s interaction with Matt Damon in “Project Greenlight” brought up, conversations about challenging the lack of diversity in Hollywood (similar to challenging the lack of diversity elsewhere) are often met with the presumption that diversity means compromising on ability, talent and creativity.  Entrenched sexism and inequality is a struggle to challenge in any institution because… well, because it’s entrenched.  So, it’s easy to feel like the most qualified guy who just happens to also be white without fully appreciating the fact that being a white guy might have been a big part of what gave you a foot in the door in the first place.

To think about this empirically, consider the party game “Six Degrees of Kevin Bacon”. The idea plays on the theory of “six degrees of separation”—part of a sociological puzzle called the “small world problem” asking just how connected everyone in the world is to everyone else.  The theory suggests that we are no more than six connections away from anyone in the world. In the early 1990s, some students at Albright University came up with the idea for the game: pick any actor and see if you can connect that actor with Kevin Bacon through shared movie appearances with other actors as the connections. Take Angela Bassett for example. Angela Bassett was in Sunshine State (2002) with Charlayne Woodard who was in He Said, She Said (1991) with… Kevin Bacon. So, Angela Bassett has a Bacon number of 2.Screen Shot 2016-01-15 at 4.18.58 PM

Later, a group of computer science students at the University of Virginia produced the network of actors to see how “central” Kevin Bacon actually is using IMDB.com (you can play around with the network on their site, www.oracleofbacon.org). And, as it turns out, Kevin Bacon is a central actor—he’s been in films with over 3,000 other actors and more than 99% of all of the almost 2 million actors listed on IMDB.com can be connected with Kevin Bacon in 5 connections or less. But, he’s not the most central actor. He’s actually the 411th most centrally connected actor (you can see the top 1,000 most “central” actors here). But, Kevin Bacon does share some things in common with the most central actor (Eric Roberts): they’re both white, they’re both men, and they were both born within two years of each other.  Coincidence?

When I encountered the list, I noticed that there weren’t many women. There are only 3 in the top 100 most central actors.  And all three are white.  So, I wrote a script to data mine some basic information on the top 1,000 to see who they are using data from IMDB.com (birth year) as well as NNDB.com (which lists race and gender).*  The list, perhaps unsurprisingly, is dominated by men (81.75%) and by white people (87.8%). Below is the breakdown for proportions of actors among the top 1,000 most central actor by gender and race.IMDB - Gender and RaceIt’s a powerful way of saying that Hollywood continues to be a (white) boy’s club. But they’re also an old white boy’s club as well. I also collected data on birth year. And while the 50’s were the best decade to be born in if you want to be among the 1,000 most “central” actors today, the data for the men skews a bit older.** This lends support to the claim that men do not struggle to find roles as much as women do as they age–which may also support the claim that there are more complex roles available to men (as a group) than women.IMDB Birth Year - MenIMDB Birth Year - WomenThe other things I noticed quickly were that: (1) Hispanic and Asian men among the top 1,000 actors list are extremely likely to be typecast as racial stereotypes, and (2) there are more multiracial women among the top 1,000 actors than either Hispanic or Asian women.

Part of what this tells us is that we like to watch movies about white people and men… white men mostly.  But part of why we like these movies is that these are the movies in which people are investing and that get produced.  As a result of this, there are a critical mass of super-connected white men in Hollywood.  So, it shouldn’t surprise us that white actors dominate the Oscar nominations. They’ve been hoarding social capital in the industry since it began.  #OscarsSoWhite

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* To get the data, I wrote a Python script using the Unofficial IMDb API and the NNDB.com’s API. The results were able to read data for gender for all 1,000 people on the list but only gender, birth year, and race for 959 of the 1,000 people in the dataset. The other 41 had incomplete information on both sites. And I didn’t bother to clean the data up any more.

**Part of becoming a more central actor in the network of all actors has to do with having been a part of a mass of filmed projects with a variety of different actors.  The most central actor – Eric Roberts – has worked on projects with more than 8,000 other actors over the course of his career.  And being alive longer (perhaps obviously) helps.  But, it’s not all older actors.  And you don’t have to be living to be on this list.  But, actors born in the 1920’s, 30’s, and 40’s aren’t as central (as decade-based groups).  So, some of this is also having been in your 20’s, 30’s and 40’s between 1970 and 1990 which was a big period of growth for Hollywood.

What Constitutes a Mass Shooting and Why You Should Care

What Constitutes a Mass Shooting and Why You Should Care

By: Tristan Bridges, Tara Leigh Tober, and Nicole Wheeler

Originally posted at Feminist Reflections.

How many mass shootings occurred in the United States in 2015? It seems like a relatively simple question; it sounds like just a matter of counting them. Yet, it is challenging to answer for two separate reasons: one is related to how we define mass shootings and the other to reliable sources of data on mass shootings.  And neither of these challenges have easy solutions.

As scholars and teachers, we need to think about the kinds of events we should and should not include when we make claims about mass shootings.  Earlier this year, we posted a gendered analysis of the rise of mass shootings in the U.S. relying the Mass Shootings in America database produced by the Stanford Geospatial Center. That dataset shows an incredible increase in mass shootings in 2015. Through June of 2015, we showed that there were 43 mass shootings in the U.S. The next closest year in terms of number of mass shootings was 2014, which had 16 (see graph below).  That particular dataset relies heavily on mass shootings that achieve a good deal of media attention.  So, it’s possible that the increase is due to an increase in reporting on mass shootings, rather than an increase in the actual number of mass shootings that occurred.  Though, if and which mass shootings are receiving more media attention are certainly valid questions as well.

Mass Shootings (Stanford) 1If you’ve been following the news on mass shootings, you may have noticed that the Washington Post has repeatedly reported that there have been more mass shootings than days in 2015. That claim relies on a different dataset produced by ShootingTracker.com. And both the Stanford Geospatial Center dataset and ShootingTracker.com data differ from the report on mass shootings regularly updated by Mother Jones.* For instance, below are the figures from ShootingTracker.com for the years 2013-2015.

Mass Shootings, 2013-2015 (ShootingTracker.com)1For a detailed day-by-day visualization of the mass shootings collected in the ShootingTracker.com dataset between 2013 and 2015, see below (click each graph to enlarge).

Mass Shootings 2013

Mass Shootings 2014

Mass Shootings 2015

 

The reason for this discrepancy has to do with definition in addition to data collection.  The dataset produced by the Stanford Geospatial Center is not necessarily exhaustive.  But they also rely on different definitions to decide what qualifies as a “mass shooting” in the first place.

The Stanford Geospatial Center’s Mass Shootings in America database defines mass shootings as shooting incidents that are not identifiably gang- or drug-related with 3 or more shooting victims (not necessarily fatalities) not including the shooter.  The dramatic spike apparent in this dataset in 2015 is likely exaggerated due to online media and increased reporting on mass shootings in recent years.  ShootingTracker.com claims to ensure a more exhaustive sample (if over a shorter period of time).  These data include any incidents in which four or more people are shot and/or killed at the same general time and location.  Thus, some data do not include drug and gang related shootings or cases of domestic violence, while others do.  What is important to note is that neither dataset requires that a certain number of people is actually killed.  And this differs in important ways from how the FBI has counted these events.

Neither ShootingTracker.com nor the Stanford Geospatial Center dataset rely on the definition of mass shootings used by the Federal Bureau of Investigation’s Supplementary Homicide Reporting (SHR) program which tracks the number of mass shooting incidents involving at least four fatalities (not including the shooter). The table below indicates how different types of gun-related homicides are labeled by the FBI.

Screen Shot 2015-12-14 at 2.05.18 PMOften, the media report on events that involve a lot of shooting, but fail to qualify as “mass murders” or “spree killings” by the FBI’s definition.  Some scholarship has suggested that we stick with the objective definition supplied by the Federal Bureau of Investigation.  And when we do that, whether mass shootings are on the rise or not becomes less easy to say.  Some scholars suggest that they are not on the rise, while others suggest that they are.  And both of these perspectives, in addition to others, influence the media.

One way of looking at this issue is asking, “Who’s right?”  Which of these various ways of measuring mass shootings, in other words, is the most accurate?  This is, we think, the wrong question to be asking.  What is more likely true is that we’ll gather different kinds of information with different definitions – and that is an important realization, and one that ought to be taken more seriously.  For instance, does the racial and ethnic breakdown of shooters look similar or different with different definitions?  No matter which definition you use, men between the ages of 20 and 40 are almost the entire dataset.  We also know less than we should about the profiles of the victims (those injured and killed).  And we know even less about how those profiles might change as we adopt different definitions of the problem we’re measuring.

There is some recognition of this fact as, in 2013, President Obama signed the Investigative Assistance for Violent Crimes Act into law, granting the attorney general authority to study mass killings and attempted mass killings.  The result was the production of an FBI study of “active shooting incidents” between 2000 and 2013 in the U.S.  The study defines active shooting incidents as:

“an individual actively engaged in killing or attempting to kill people in a confined and populated area.” Implicit in this definition is that the subject’s criminal actions involve the use of firearms. (here: 5)

The study discovered 160 incidents between 2000 and 2013.  And, unlike mass murders (events shown to be relatively stable over the past 40 years), this study showed active shooter incidents to be on the rise.  This study is important as it helps to illustrate that the ways we have operationalized mass shootings in the past are keeping us from understanding all that we might be able to about them.  The graph below charts the numbers of incidents documented by some of the different datasets used to study mass shootings.

Mass Shootings Comparison

Fox and DeLateur suggested that it is a myth that mass shootings are on the rise using data collected by the FBI Supplementary Homicide Report.  We added a trendline to that particular dataset on the graph to illustrate that even with what is likely the most narrow definition (in terms of deaths), the absolute number of mass shootings appears to be on the rise. We do not include the ShootingTracker.com data here as those rates are so much higher that it renders much of what we can see on this graph invisible.  What is also less known is what kind of overlap there is between these different sources of data.

All of this is to say that when you hear someone say that mass shootings are on the rise, they are probably right.  But just how right they are is a matter of data and definition.  And we need to be more transparent about the limits of both.

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*Mother Jones defines mass shootings as single incidents that take place in a public setting focusing on cases in which a lone shooter acted with the apparent goal of committing indiscriminate mass murder and in which at least four people were killed (other than the shooter).  Thus, the Mother Jones dataset does not include gang violence, armed robbery, drug violence or domestic violence cases.  Some have suggested that not all of shootings they include are consistent with their definition (like Columbine or San Bernardino, both of which had more than one shooter).

Pop Music, Rape Culture, and the Sexualization of Blurred Lines

By Tristan Bridges and C.J. Pascoe

Originally posted at Feminist Reflections

Robin-Thicke-Blurred-LinesRobin Thicke’s song, “Blurred Lines,” achieved international recognition in 2013. But the lyrics were also heavily criticized as promoting sexual violence by celebrating “blurred lines” around sexual consent. Indeed, the song and video prompted an online photo essay in which women and men are depicted holding up signs with words they heard from their own rapists—some of which were almost direct quotes from Thicke’s song. The song received a great deal of negative and positive press all at the same time. The media attention seemed to prove the media adage that any coverage is good coverage if Thicke’s continued celebrity is any measure.

It’s not a new argument to suggest that many elements of what feminist scholars refer to as “rape culture” are embedded in seemingly pleasurable elements of pop culture, like songs, movies, television shows etc. And Robin Thicke’s song served as an example to many of how we not only tolerate rape culture—but how we celebrate it and render it “sexy.” Recently, Rebecca Traister discussed just how much rape culture even informs what we think of as “good sex” in her piece “The Game is Rigged: Why Consensual Sex Can Still be Bad.” In it, Traister challenges the notion that all consensual sex is good and shows just how messy the debate about what qualifies as “consensual” really is. In many ways, our national discussion around sexual assault and consent is taking up themes raised by feminists in the 1980s about what actually qualifies as consent in a society in which violence against women is considered sexy.

Compared with “Blurred Lines,” Justin Bieber’s newly released hit single, “What Do You Mean?” has been subject to less critique. The notion that women do not actually know what they want and that they are notoriously bad and communicating their desires (sexual and otherwise) is pervasive. In the song, Bieber asks the woman with whom he’s interacting, “What do you mean? / Ohh ohh ohh/ When you nod your head yes / But you wanna say no / What do you mean?” The lack of clear consent isn’t just present in the song; it is what provides the sexual tension. It’s part of what is intended to make the song “sexy.”

Sexualizing women’s sexual indecision is an important part of the way rape culture works. It is one way that conversations about consent often over-simplify a process that is and should be much more complex. The song itself presents Bieber nagging the woman to whom he’s singing to make a decision about their relationship. But there are many elements suggesting that the decision she’s being asked to make is more immediate as well—not only about the larger relationship, but about a sexual interaction in the near future. Throughout the song, the click of a stopwatch can be heard as a beat against which Bieber presses the woman to make a decision while berating her for the mixed signals she has been sending him.

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Image from Bloomingdale’s 2015 holiday catalog.

Bieber is presented as the “good guy” throughout the song by attempting to really decipher what the woman actually means. Indeed, this is another element of rape culture: the way in which we are encouraged to see average, everyday guys as “not-rapists,” because rapists are the bad guys who attack women from bushes (at worst) or simply get them drunk at a party (at best).*  The controversy over the ad in Bloomingdale’s recent 2015 holiday catalog urging readers to “spike your best friend’s eggnog when they’re not looking” shows that this kind of rape culture is also casually promoted in popular culture as well.  But, the larger discourse that Bieber’s song plays a role in promoting is the notion that women do not know what they mean or want. Bieber plays the role of someone simultaneously pressuring her for sexual advance (“Said we’re running out of time”), helping her work through her feelings (“What do you mean?”), and demanding results (“Better make up your mind”). And, like the Bloomingdale’s advertisement, this is not sexy.

Indeed, the music video (above) takes this a step further. Bieber is shown at the beginning paying John Leguizamo on a street corner and asking him to make sure “she doesn’t get hurt.” We later find out that John was paid to orchestrate a kidnapping of both Justin and the woman whom he meets in a hotel room. Both are taken by men in masks, driven to a warehouse in the trunk of a car, and tied up. Justin is able to free them, but they are still in a room with their kidnappers. They back up to a door that leads outside the building and see that they are one of the top floors. Justin turns to the woman, holds out his hand and asks, “Do you trust me?” She takes his hand and they both jump out of the building. They jump and fall to the ground, landing on a parachute pillow only to discover that the whole thing was a trick. The kidnapping was actually orchestrated ruse to bring her to a party that they entered by leaping from the building away from the men who’d taken them. The men in masks all reveal themselves to be smiling beneath. She smiles at Justin, recognizing that it was all a trick, grabs his face, kisses him and they dance the night away in the underground club.

Even though the song is about feeling like a woman really can’t make up her mind about Justin, their relationship, and sexual intimacy, the woman in the video is not depicted this way at all. She appears sexually interested in Justin from the moment the two meet in the video and not bothered by his questions and demands at all. Though it is worth mentioning that he is terrorizing her in the name of romance, indeed the terror itself is a sign of how much he loves her—also a part of rape culture. This visual display alongside the lyrics works in ways that obscure the content of the lyrics, content that works against much of what we are shown visually.

justin-bieber-what-do-you-mean-cover-413x413Part of what makes rape culture so insidious is that violence against women is rendered pleasurable and even desirable. Thicke and Bieber’s songs are catchy, fun, and beg to be danced to. The women in Thicke’s video also appear to be having fun strutting around nude while the men sing. The woman in Bieber’s video is being kidnapped and terrified for sport, sure, but it’s because he wants to show his love for her. She’s shown realizing and appreciating this at the conclusion of the video. Rape culture hides the ways that sexual violence is enacted upon women’s bodies every day. It obscures the ways that men work to minimize women’s control over their own bodies. It conceals the ways that sexual violence stems not just from dangerous, deviant others, but the normal everydayness of heterosexual interactions. And all of this works to make sexualized power arrangements more challenging to identify as problematic, which is precisely what makes confronting rape culture so challenging.

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*See C.J. Pascoe and Jocelyn Hollander’s forthcoming work in Gender & Society“Good Guys Don’t Rape: Gender, Domination, and Mobilizing Rape”—for more on what this discourse looks like and how it works.

Bro-Porn Revisited: Heterosexualizing Straight White Men’s Anti-homophobia (again)

By: C.J. Pascoe and Tristan Bridges

Originally posted at Girl W/ Pen!

A few months ago Kentucky county clerk Kim Davies made the news because she refused enact the Supreme Court order to marry same sex couples in her county citing religious objections. Davis was jailed for contempt of court, released, and is now back at work, though letting her subordinates marry same sex couples rather than doing so herself. Last week Justice Kennedy suggested, perhaps not directly, that she resign from her job.

But this post isn’t about Kim Davies; it’s about a protest against Kim Davies. Understandably, people, both gay and straight, were upset about her behavior – some protested outside of her office, some confronted her at her desk, some wrote op-eds, some went on talk shows. Others took to YouTube and Instagram as they staged a virtual kiss-in across the United States in a protest called #kissesforkim.

CPT43X8VEAAu8nYThis protest was started by two comedians from the group Comedians in Public – Jericho Davidson and Michael Albanese. These two heavily bearded, and apparently straight, men, in a video launching the #kissesforkim project said, “Dear Kim Davis, we want to let you know that no matter what you do, love will always win.” They instructed viewers to “grab your closest friend, give him a kiss, take a photo or video, and upload it using #KissesForKim, to let Kim know that she cannot win.”

While these instructions are aimed at “gay, bi, trans WHOMEVER!” according the video, the pictures of two presumably straight men kissing were picked up most favorably by the interwebs. Queerty.com for instance, posted the following “#Heterosexual men the whole world over are making out with each other for a good cause. Find out why at queerty.com. #kissesforkim #kimdavis #kissykissy #smoochsmooch #xoxo #gay #straight #samelove.”  Indeed, much was made of the fact that the two men who created the campaign identified as straight. Now it’s not that same sex couples didn’t appear in these photos, it’s that the straight-identified men got the attention. For instance, in this photo the poster points out that he and his partner are not straight.
Kissesforkim1Other posters even thanked straight men for doing this, calling them “great men.”
kissesforkim2We would suggest that the focus on (and discourse surrounding) straight men kissing is instructive. In fact, it reminded us of a previous episode we had written about who were engaging in seemingly same sex activities in a post we called “Bro-Porn.” In that post we addressed the way in which two straight comedians kissed at Chick-fil-A to protest the organization’s homophobic policies and the Warwick men’s rowing team posing nude for a photo shoot. We suggested that perhaps engaging in acts that seemingly contradict normative expectations of masculinity, may in fact bolster it:

This sort of “bro-ing” of anti-homophobia stances does not necessarily have the effect of challenging the naturalness and inevitability of sexual and gender categories. Much like the anti-Chick-fil-A video made by two straight, white men to protest the restaurant’s homophobic policies, Macklemore’s and the Warwick rowing team’s gender and sexual practices and proclamations reinscribe their heterosexuality as so powerful and inevitable that even an anti-homophobia stance can’t call them into question. (here)

In that post, we suggested that performances of protest, in some ways, underscore the same understandings of heterosexual masculinity that make the form of protest noticeable in the first place. They illustrate a form of heteroflexibility that is celebrated as heterosexual and masculine when the right men participate in the right ways. In the end, they’re actually strategically relying on the very discourse they claim to oppose. Something similar is likely going on with the #kissesforkim protest.

How could that be? To begin, it’s important that these forms of protest/allyship involve humor; they’re played for laughs.  And part of the “humor” in these forms of digital activism is that these guys are so straight that no one would ever actually think they are gay.  In doing so, they actually shore up heterosexual privilege–albeit in a new and unorthodox fashion.

9781479825172_FullThe very smart new book Not Gay: Sex Between Straight White Men by Jane Ward addresses precisely this issue. In studying straight identified men who have sex with one another, Ward shows that sex between straight white men is a lot more common than you might think. In the book, Ward is centrally interested in how it is that sex and sexual acts between straight white men are read as credibly “heterosexual.” Ward uncovers a terrific array of discourses relied upon by straight men that authorize “lapses” in their otherwise heterosexual identities and behavior. She refers to the discourses collectively as “hetero-exceptionalism.” And at the conclusion of the book, Ward makes a really interesting argument about what homonormativity has done for straight white guys who might occasionally engage in sexual behavior with other straight white guys. She writes,

Increasingly central to contemporary discourse about the difference between heteroflexibility and authentic gayness is a romanticized story about queerness as same-sex love, as opposed to “meaningless” same-sex sex. The former is reserved for the real gays, while the latter is available to heteroflexible straights as well. (here: 197)

kissesforkim5This is not to say that the straight white guys participating in #kissesforkim don’t actually want change. We’re not arguing that their “real” motives are sinister and are actually attempts to reclaim the spotlight. We are here interested in how these men’s behavior is understood, what people seem to imagine it “means” and doesn’t mean, and the fact that straight white men’s participation here is so celebrated.  And we are interested in what kinds of cultural transformations provide a framework within which we can make sense of these men’s activism and our collective interest in them.  In this case, homonormativity provides a discourse within which these men’s same-sex behaviors can be read as straight–as “hetero-exceptional.”  #kissesforkim continues a tradition of straight white men receiving an incredible amount of attention for being willing to take a stand against sexual prejudice, even if that “stand” might be little more than a party gag in front of friends.

Masculinity and Mass Shootings in the U.S.

By: Tristan Bridges and Tara Leigh Tober

Originally posted at Feminist Reflections.

Following the recent mass shooting in Charleston, South Carolina on June 17th, 2015–a racially motivated act of domestic terrorism–President Barack Obama delivered a sobering address to the American people. With a heavy heart, President Obama spoke the day following the attack, stating:

At some point we as a country will have to reckon with the fact that this type of mass violence does not happen in other advanced countries. And it is in our power to do something about it. I say that recognizing that politics in this town foreclose a lot of those avenues right now. But it would be wrong for us not to acknowledge. (here)

President Obama was primarily referring to gun control in the portion of his speech addressing the cause of attacks like this. Not all mass shootings are racially motivated, and not all qualify as “terrorist” attacks—though Charleston certainly qualifies.  And the mass shooting that occurred a just a month later in Chattanooga, Tennessee by a Kuwati-born American citizen was quickly labeled an act of domestic terrorism. But, President Obama makes an important point here: mass shootings are a distinctly American problem. This type of rampage violence happens more in the United States of America than anywhere else (see here for a thorough analysis of international comparisons). And gun control is a significant part of the problem. But, gun control is only a partial explanation for mass shootings in the United States. Mass shootings are also almost universally committed by men.  So, this is not just an American problem; it’s a problem related to American masculinity and to the ways American men use guns.  But asking whether “guns” or “masculinity” is more of the problem misses the central point that separating the two might not be as simple as it sounds.  And, as Mark Follman, Gavin Aronsen, and Deanna Pan note in the Mother Jones Guide to Mass Shootings in America, the problem is getting worse.

We recently wrote a chapter summarizing the research on masculinity and mass shootings for Mindy Stombler and Amanda Jungels’ forthcoming volume, Focus on Social Problems: A Contemporary Reader (forthcoming, Oxford University Press). And we subsequently learned of a new dataset on mass shootings in the U.S. produced by the Stanford Geospatial Center. Their Mass Shootings in America database defines a “mass shooting” as an incident during which an active shooter shoots three or more people in a single episode. Some databases define mass shootings as involving 4 shootings in a single episode. And part of this reveals that the number is, in some ways, arbitrary. What is significant is that we can definitively say that mass shootings in the U.S. are on the rise, however they are defined. The Mother Jones database has shown that mass shootings have become more frequent over the past three decades.  And, using the Stanford Mass Shootings in America database, we can see this trend here (below) by relying on data that stretches back a bit further.

Mass Shootings FrequencyAdditionally, we know that the number of victims of mass shootings is also at an historic high (below).Victims of Mass ShootingsWe also produced a time-lapse map of mass shootings in the United States illustrating both where and when mass shootings have occurred using the Stanford Geospatial Center’s database to illustrate this trend over time (see below).

Our map charts mass shootings with 3 or more victims over roughly 5 decades, since 1966. The dataset takes us through the Chattanooga, Tennessee shooting, which brought 2015 to 42 mass shootings (as of July).* The dataset is composed of 216 separate incidents only 5 of which were committed by lone woman shooters. Below we produced an interactive map depicting all of the mass shootings in the dataset with brief descriptions of the shootings.

In our chapter in Stombler and Jungels’ forthcoming book, we cull existing research to answer two questions about mass shootings: (1) Why is it men who commit mass shootings? and (2) Why do American men commit mass shootings so much more than men anywhere else?  Based on sociological research, we argue that there are two separate explanations–a social psychological explanation and a cultural explanation (see the book for much more detail on each).

A Social Psychological Explanation–Research shows that when an identity someone cares about is called into question, they are likely to react by over-demonstrating qualities associated with that identity.  As this relates to gender, some sociologists call this “masculinity threat.”  And while mass shootings are not common, research suggests that mass shooters experience masculinity threats from their peers and, sometimes, simply from an inability to live up to societal expectations associated with masculinity (like holding down a steady job, being able to obtain sexual access to women’s bodies, etc.)–some certainly more toxic than others.  The research on this topic is primarily experimental.  Men who are brought into labs and have their masculinity experimentally “threatened” (see here for more details) react in patterned ways: they are more supportive of violence, less likely to identify sexual coercion, more likely to support statements about the inherent superiority of males, and more.  This research provides important evidence of what men perceive as masculine in the first place (resources they rely on in a crisis) and a new kind evidence regarding the relationship of masculinity and violence.  The research does not suggest that men are somehow inherently more violent than women.  Rather, it suggests that men are likely to turn to violence when they perceive themselves to be otherwise unable to stake a claim to a masculine gender identity.

A Cultural Explanation–But certainly boys and men experience all manner of gender identity threat in other societies.  Why are American boys and men more likely to react with such extreme displays?  To answer this question, we need an explanation that articulates the role that American culture plays in influencing boys and young men to turn to this kind of violence at rates higher than anywhere else in the world.  This means we need to turn our attention away from the individual characteristics of the shooters themselves and to more carefully investigate the sociocultural contexts in which violent masculinities are produced and valorized.  Men have historically benefited from a great deal of privilege–white, educated, middle and upper class, able-bodied, heterosexual men in particular.  Social movements of all kinds have slowly chipped away at some of these privileges.  So, while inequality is alive and well, men have also seen a gradual erosion of privileges that flowed more seamlessly to previous generations of men (white, heterosexual, class-privileged men in particular).  Michael Kimmel suggests that these changes have produced a uniquely American gendered sentiment that he calls “aggrieved entitlement.”  Of course, being pissed off about an inability to cash in on privileges previous generations of men received without question doesn’t always lead to mass shootings.  But, from this cultural perspective, mass shootings can be understood as an extremely violent example of a more general issue regarding changes in relations between men and women and historical transformations in gender, race, and class inequality.

Mass shootings are a pressing issue in the United States.  And gun control is an important part of this problem.  But, when we focus only on the guns, we sometimes gloss over an important fact: mass shootings are also enactments of masculinity.  And they will continue to occur when this fact is combined with a sense among some men that male privilege is a birthright–and one that many feel unjustly denied.

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*The mass shootings in Charleston, South Carolina in June of 2015 and Chattanooga, Tennessee in July of 2015 were not in the dataset when we received it.  The data ran through May of 2015.  So, we’ve added the Charleston and Chattanooga shootings into the dataset for the graphs and maps on this post.

Studying Race and Gender in Comic Books with Color Codes

Originally posted at Feminist Reflections.

Lots of time and care consideration goes into the production of new superheroes and the revision of time-honored heroes. Subtle features of outfits aren’t changed by accident and don’t go unnoticed. Skin color also merits careful consideration to ensure that the racial depiction of characters is consistent with their back stories alongside other considerations. A colleague of mine recently shared an interesting analysis of racial depictions by a comic artist, Ronald Wimberly—“Lighten Up.”*  “Lighten Up” is a cartoon essay that addresses some of the issues Wimberly struggled with in drawing for a major comic book publisher. NPR ran a story on the essay as well. In short, Wimberly was asked by his editor to “lighten” a characters’ skin tone—a character who is supposed to have a Mexican father and an African American mother.  The essay is about Wimberly’s struggle with the request and his attempt to make sense of how the potentially innocuous-seeming request might be connected with racial inequality. Skin ToneIn the panel of the cartoon reproduced here, you can see Wimberly’s original color swatch for the character alongside the swatch he was instructed to use for the character.

Digitally, colors are handled by what computer programmers refer to as hexadecimal IDs. Every color has a hexademical “color code.” It’s an alphanumeric string of 6 letters and/or numbers preceded by the pound symbol (#).  For example, computers are able to understand the color white with the color code #FFFFFF and the color black with #000000. Hexadecimal IDs are based on binary digits—they’re basically a way of turning colors into code so that computers can understand them. Artists might tell you that there are an infinite number of possibilities for different colors. But on a computer, color combinations are not infinite: there are exactly 16,777,216 possible color combinations. Hexadecimal IDs are an interesting bit of data and I’m not familiar with many social scientists making use of them.**

There’s probably more than one way of using color codes as data. But one thought I had was that they could be an interesting way of identifying racialized depictions of comic book characters in a reproducible manner—borrowing from Wimberly’s idea in “Lighten Up.” Some questions might be: Are white characters depicted with the same hexadecimal variation as non-white characters? Or, are women depicted with more or less hexadecimal variation than men? Perhaps white characters are more likely to be depicted in more dramatic and dynamic lighting, causing their skin to be depicted with more variation than non-white characters. If that’s true, it might also make an interesting data-based argument to suggest that white characters are featured in more dynamic ways in comic books than are non-white characters. The same could be true of men compared with women.

Just to give this a try, I downloaded a free eye-dropper plug-in that identifies hexadecimal IDs. I used the top 16 images in a Google Image search for Batman (white man), Amazing-man (black man), and Wonder Woman (white woman). Because many images alter skin tone with shadows and light, I tried to use the eye-dropper to select the pixel that appeared most representative of the skin tone of the face of each character depicted.

Here are the images for Batman with a clean swatch of the hexadecimal IDs for the skin tone associated with each image below:

Batman

Batman Hex Codes

Below are the images for Amazing-man with swatches of the skin tone color codes beneath:Amazing-Man

Amazing-Man Hex Codes

Finally, here are the images for Wonder Woman with pure samples of the color codes associated with her skin tone for each image below:

Wonder Woman

Wonder Woman Hex CodesNow, perhaps it was unfair to use Batman as a comparison as his character is more often depicted at night than is Wonder Woman—a fact which might mean he is more often depicted in dynamic lighting than she is. But it’s an interesting thought experiment.  Based on this sample, two things that seem immediately apparent. Amazing-man is depicted much darker when his character is drawn angry. And Wonder Woman exhibits the least color variation of the three.  Whether this is representative is beyond the scope of the post.  But, it’s an interesting question.  While we know that there are dramatically fewer women in comic books than men, inequality is not only a matter of numbers.  Portrayal matters a great deal as well, and color codes might be one way of considering getting at this issue in a new and systematic way.

While the hexadecimal ID of an individual pixel of an image is an objective measure of color, it’s also true that color is in the eye of the beholder and we perceive colors differently when they are situated alongside different colors. So, obviously, color alone tells us little about individual perception, and even less about the social and cultural meaning systems tied to different hexadecimal hues. Yet, as Wimberly writes, “In art, this is very important. Art is where associations are made. Art is where we form the narratives of our identity.”  Beyond this, art is a powerful cultural arena in which we form narratives about the identities of others.

At any rate, it’s an interesting idea. And I hope someone smarter than me does something with it (or tells me that it’s already been done and I simply wasn’t aware).

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*Thanks to Andrea Herrera for posting Ronald Wimberly’s cartoon essay, “Lighten Up.”

**In writing this post, I was reminded that Philip Cohen wrote a short post suggesting that we might do more research on gender and color by using color codes to analyze children’s clothing. The post is here if you’re interested. After re-reading his post, I used the same site to collect pure samples of each hex code and I copied his display of the swatches.  Thanks Philip!