One of the best ways to identify lots of diverse people to speak at conferences is to follow lots of diverse people on social media. But do we?
With that question in mind, I turned to https://www.proporti.onl/, a website that says…
“Estimate the gender distribution of your followers and those you follow, based on their profile descriptions or first names. Many tech leaders follow mostly men, but I want to follow a diverse group of people. Twitter Analytics doesn’t tell me the gender distribution of those I follow, and it doesn’t try to identify gender-nonbinary people. So I built this tool for myself and put it on GitHub. It’s inaccurate and it undercounts nonbinary folk, but it’s better than making no effort at all. I want you to be able to do this, too. Estimate the distribution of those you follow and see if there’s room to improve!”
I’m cool with that so I turned to this tweet by Antonio Santos as a good place to start within the market research industry. I entered each one of these accounts (excluding @MRXblogs which is a bot that follows no one but me), in order to see how we’re doing.
On average, about 36% of the people these market research influencers follow are women.
Sadly, only 3 people follow roughly equal numbers of men and women, and only 2 people follow more women than men (you can guess who!). I’m one of them, but that’s only because I actively follow women and I’ve been using proporti.onl to monitor my status. Unfortunately, for about 43% of us, one third or fewer of the people we follow are women. The curve is far from expected and could use a lot of improvement.
Fortunately, it’s easy to change that proportion. Lots of people have created lists of women on Twitter who specialize in different areas including marketing research, data science, analytics, STEM, and more. I keep a nice selection of those lists on my twitter account right here. However, here are some of my favourite lists.
- Women in Data Science: I love this list. Search through the 1200 members and you’ll find tons of women who specialize in data visualization, statistics, neuroscience, RStats, business intelligence, artificial intelligence, and more.
- Women Game Developers: 100 women who know AI, storytelling, games, user experience, digital marketing, customer relationship management.
- BioInfo Women: 600 women who know about EEGs, fMRIs, neuroscience, computer science.
- STEM women: 500 women who know data, engineering, cybersecurity.
- Women in VR: So, um, these 150 experts know VR.