So I decided to sit down and see if I could answer this question with data. Fortunately NPR has a web API allowing me to write a program to extract not only the stories, but the story metadata. Additionally NPR tags each story to identify their subject.
Edit 1: The program used as a basis for this post.
Tags
NPR has 23,529 tags - really too many to analyze manually in a short amount of time. I wrote a program to extract the tags that I identified as related to female issues.
Female tags
- Pink ribbon breast cancer awareness
- Lean In: Women, Work, and the Will to Lead
- American Association of University Women
- Girl Scout cookies
- for colored girls
- Afghan women
- women's heatlh
- Gay Girl in Damascus
- Word Girl
- African-American female members of Congress
- Leadership Conference of Women Religious
- vegetarian mothers
- unmarried black women
- adoptive couple v. baby girl
- single mothers
- The Real Girl's Guide to Everything Else
- Golden Girls
- most powerful women
- single women
- comfort women
- new mothers
- Mothers 2 Mothers
- women in tech
- daughter
- daughters
- The Other Boleyn Girl
- women's world cup soccer
- girl
- women's rights
- black women
- Grammar Girl
- teenage girls
- Center for the Study of Women in Television and Film
- Girl Scouts
- female governors races
- Fly Girls
- International Women's Day
- breast cancer
- American Girl
- Day of the Girl
- girl vs. lion video
- women's ski jump
- Pioneer Women
- girls basketball
- Girls
- Violence Against Women Act
- Girls Rock
- teen girls
- International Day of the Girl Child
- representation of women
- gilmore girls
- Saudi women voting
- women
- women and Islam
- Saudi women driving
- women's issues
- women CEOs
- women farmers
- Women's Health
- women in combat
- women in government
- adolescent girls
- girl rising
- women in politics
- women in science
- pregnant women
- Scottish girl food blog
- India's Daughter
- women in tech, data
- Women's Figure Skating
- women's basketball
- Rock and Roll Camp for Girls
- black women and marriage
- missing women
- girls' rights
- Cameron's daughter
- Gossip Girl
- female genital mutilation
- black girls matter
- sexism
- female vote
- Super Girl
- feminism
- Republicans and women
- #15Girls
- pregnant girls
- women's skiing
- women's soccer
- women's World Cup
- women's studies
- sexism in tech
- Mother's Day
- ovarian transplant
- changing lives of women
- 15girls
- Girl Talk
- mother-daughter relationships
- working women
- mothers
- National Anthem girl
- female commentators
- violence against women
- Grandmother Fish
- Texas judge beats daughter
- discrimination against women
- Girl Up
- Grandma drummer
- Powerpuff Girls
- women's right
- Weary working mothers
- women's history month
- breast cancer, mastectomy, Samantha Harris
- center for american women and politics
- male-to-female ratio
- A Breast Cancer Alphabet
These are the male tags:
- My Three Sons
- men on tv
- men's basketball
- men's clothing
- Men's Figure Skating
- Men's Health
- sexiest men
- Men's Journal
- men's rights
- Scottsboro Boys
- men's soccer
- fear of black men
- boys
- 10-year-old boy
- Boy Scouts
- creepy men on motorcycles
- Balloon Boy
- like father like son
- magnet boy
- educating black boys
- Boys on the Bus
- boy dropped to firefighter
- Forest boy
- sons of confederate veterans
- Yes Men
- Boy Scouts of America
- bubble boy
- fathers
- lost boys
- prostate
- Lost Boys of Sudan
- male supremacy
- yukon men
- Father's Day
- black male privilege
- prostate cancer
- Father Dollar Bill
- Fat Boys
- black men
- male-to-female ratio
- The Last Boy
- Big Trap Boy
- men
- trans male
- Hope's Boy
That being said, there are a few observations:
- There are 2.5x the number of "female" tags than "male".
- I don't see a single pejorative female tag title.
- There are several pejorative male tag titles:
- black male privilege
- creepy men on motorcycles
- fear of black men
- Yes Men
- Fat Boys
Stories
I first downloaded 154,554 stories covering 2010 through December 2015. I then wrote a program to analyze all story tags from the two lists above.
Overall there are
- 5.38 times more female stories than male.
- 2.26 times the number of stories about girls than boys.
- 2.84 times the number of stories about female cancer than male.
- 7.8 times the number of general female stories than male. By general I mean once you've removed cancer, and youth totals.
Summary
So I guess my real question is, "is NPR biased against men"? One can, and many do, argue that the world has been a man's world for a very long time now, and now that women are making inroads to male spaces (business, government, military, etc.), these are newsworthy, and explain the greater attention to "female" stories than "male".
I don't know - I'm not a statistician or scientist - so can't say for sure. This was a very unscientific one day analysis, so I hesitate to draw more than a general impression from what I've seen so far. However, my general impression is that these totals skew very strongly toward women. Given that breast cancer kills about 50% more woman than prostate cancer kills men (according to the CDC) why are nearly three times the number of stories about breast cancer than prostate cancer? Are girls worthy of well over twice our attention than boys? The largest disparity are stories about healthy adult men and women - why are there nearly eight times the stories about women's issues?
Does NPR care about men?
https://www.reddit.com/r/MensRights/comments/2p72aq/the_huffington_post_college_page_useful_tool_for/
ReplyDeleteAs a long time (decades) NPR listener I am not the least bit surprised at your findings. I'm curious though, could you do the same thing for their "gay" coverage? In my experience it is extensive and uniformly positive. Surely any movement for social change would have at least a few negative consequences.
ReplyDeleteGreat job! Thank-you. For those of us LESS technically inclined, this is a perfect use for technology!
ReplyDeleteHi Chris, I contacted NPR's Ombudsman about the results of your study. It's on the NPR Ombudsman Facebook page.
ReplyDeleteHere it is: "Well, I've written several times about how NPR's tagging is faulty--unfortunately it's just not a reliable way to analyze coverage." It's a bit thin...
Thanks Unknown. Yes, I agree their tagging isn't perfect, and relying solely on tags to determine the story subject(s) yields imperfect results. I'm currently toying with some machine learning and clustering algorithms to see if I can auto classify the stories.
DeleteMy name is Win Cartwright.
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