I am a feminist. I believe that men and women should be given equal opportunities and that – as far as possible – we should have a civic society composed of equal numbers of men and women.
At least… I think that’s how I feel.
Most people believe that they are rational and live up to their own ideals. But can we ever really know our own subconscious biases?
The Geena Davis Institute on Gender in Media have released a series of study about gender biases. One of the more interesting findings was that when the male:female ratio in a group is 70:30 – both genders think the group is at parity. This is due, in part, to popular entertainment sticking almost rigidly to these gender ratios.
I honestly believe that I follow a roughly equal number of men and women on Twitter. I certainly see a lot of women in my feed. But that’s just a feeling – what do the data say?
I decided to look at two different aspects of my Twitter usage.
- How many women do I follow? (i.e. I choose to see their tweets).
- What’s the ratio of male:female tweets that I see? (i.e. if Alice tweets twice and Bob only tweets once, it’s 2:1)
The most obvious limitation is that not every tweeter is a person – some are faceless corporations. Some company accounts are definitely gendered – take Cosmo magazine for example – but I think it’s easiest to separate them out.
Those tweeters who are people may not choose to reveal their gender – or it may not be immediately obvious. I don’t intend asking people directly what their gender identity is.
Finally, there are many other ways I could slice this pie. I could look at race, gender, political leaning, etc – but gender is the most visible and therefore easiest to identify.
I’m basing my assessment on the user’s name and their photo.
In this example, I’ve no easy way of knowing whether @Lateral is male or female. Sorry!
I did consider using computer vision recognition and running the names through a stochastic model – but I’m off sick today so decided to manually count each follower. For something like this, the human brain is faster than installing and configuring software!
So, for this investigation, I’m dividing the tweets that I see into Male, Female, Unknown, Corporate.
As of now, I follow 1,158 Tweeters. At first glance, that’s a ridiculous number. There’s no way I can have any form of meaningful interaction with that many people. What that doesn’t reveal is that many of those accounts are dormant or seasonal. Some, no doubt, I have no need to follow. But since Twitter killed TwitCleaner it’s impractical to go through all those old accounts and remove the deadwood.
I manually looked through the 300 accounts I most recently followed. I was fairly confident that it would show want an equal opportunity tweeter I was. You’re welcome to look at my Twitter friends directly, if you’d like to verify the data.
Youch. I follow more corporate accounts than women. And the M:F split? 62: 38. Not too far off the 70:30 split.
How depressing! There I was, thinking that I was breaking the mould – when instead I am, basically, a little better than average.
Because Twitter doesn’t let me retrieve all my followers at once, I had to split my research into batches of 300. After looking at my 600 most recent friends, I was even more depressed.
Exactly the bloody same ratio! True, some of the corporate accounts are likely to be run by women… but I think that’s just clutching at straws.
I think the m:f ratio here is interesting because it’s accounts I’ve chosen to follow. For some reason, my brain only finds women about half as worthwhile following as men. I think that’s troubling.
After going through all 1,158 accounts I follow (I was off sick today – what else was going to fill my time?) here are the final results.
Oh. Em. Gee. Honestly, I didn’t fiddle the data – take a look at my friend list. But that’s a Male:Female ratio of exactly 70:30.
I’ve gone from thinking I was a new wave feminist man to realising I’m just part of the patriarchy. Ok, maybe not that dramatic, but I honestly thought that I was following a much more gender balanced crowd than that.
I may not be following lots of women – but perhaps I’m seeing lots of their tweets?
What Do I See
Of course, these women could be tweeting a lot more than the men. And, perhaps, men could be retweeting a lot of women.
Twitter’s tools only let me download the last ~800 Tweets I’ve seen. Twitter have no interest in letting you travel further back in time than that, which is a shame. Today – a Monday – that’s around 4 hours worth of Tweets. Normally I don’t read them all, nor do I scroll back extensively through my timeline to catch up on what I’ve missed.
With more time – and a more cooperative Twitter API – I could take a look through the last month. But it is what it is.
No need to grab a pocket calculator. That Male:Female ratio is stuck at a stubborn 72:28.
I’ve no way of knowing how representative a sample this is. Obviously the ratio will ebb and flow depending on the time of day and what’s happening in the world. I could also de-duplicate the results and try to find out how many unique voices I hear.
Firstly, these data are really only representative of me. I’ve not included anyone else in this investigation.
Secondly, it’s really important to take an impartial look at your own behaviours. I would have sworn up and down that I followed a a better ratio than 70:30.
Fourthly, men and women both use Twitter in roughly equal numbers – so I can’t blame the platform for my performance.
We can’t control gender equality in politics, TV, education, or employment – but we can control the number of distinct voices we choose to expose ourselves to.
Take a moment to look at your social circle – whether it’s online or not – and see if you could make some adjustments to increase your daily dose of diversity.
In the meantime, here’s a funny video with Geena Davis.