A key part of mySociety’s research agenda is understanding how Civic Technology is (or isn’t) helping under-represented groups in society access government services and their representation. In 2015 we released a report Who Benefits from Civic Technology, that explored variations in usage of Civic Tech in various countries and demographics. You can read or download it here.
In this blog post I’m going to talk a bit about how we’ve internally tried to apply our data to understanding the under-representation of women in politics and as users of our services, as well as some interesting things that external researchers have found using our data.
Our EveryPolitician dataset contains information on current (and in some cases historical) politicians for a large number of countries around the world. For a large number of representatives, this includes gender information.
However, a key problem of international comparisons of the representation of women is, as Miki Caul points out, that it “overlooks the fact that individual parties vary greatly in the proportion of women MPs within each nation”. Similarly, Lena Wängnerud argues “cross-country studies tend to miss variations between parties within a single system. Variations in the proportion of women to men are even greater across parties than across nations”.
Fortunately, this is exactly the kind of problem that an international dataset like EveryPolitician is well placed to examine – on Thursday we’ll be using a new mini-site to explore the gender and party information contained in EveryPolitician to give a sense of the international picture and the party-level differences within each country. Stay tuned! Or you can download the data yourself (there are APIs for Python, Ruby and R) and try and beat us to it.
TheyWorkForYou makes it easy to search through the history of what has been said in Parliament, and we make the data (based on the Hansard dataset but more consistently formatted) freely available to download. As essentially a download of a very large amount of text, getting insights from this dataset is a bit more complicated, but potentially very rewarding.
Jack Blumenau has a paper based on TheyWorkForYou data using language to analyse whether appointing female ministers changes how other female MPs participate in debates. Looking at “half a million Commons’ speeches between 1997 and 2017, [he demonstrates] that appointing a female minster increases the participation of women MPs in relevant debates by approximately one third over the level of female participation under male ministers” – and that “female MPs also became more influential in debates under the purview of female ministers […] female ministers respond in a systematically different fashion to the speeches of female MPs.” In this case, influence is a measure of whether the language an individual used is then taken up by others, and this kind of analysis shows how the TheyWorkForYou dataset can be used to demonstrate not just counts of how many women were in Parliament, but the substantive effects of women holding office on the political process.
As Myf talked about yesterday, TheyWorkForYou’s Commons content now extends back to 1918, and so includes every speech by a female MP ever made. We hope this is a useful resource for anyone interested in exploring the history of the representation of women in the UK and have plans for a small project in the upcoming months to show in a simple way how this data can be used (please sign up to our mailing list if you’re interested in hearing about this when it’s completed).
FixMyStreet and WriteToThem
Understanding the under-representation of women is important across our services. Where men and women are experiencing different issues and concerns, imbalances in access (or use of access) potentially lead to differences in resource allocation.
The majority of reports on FixMyStreet.com are reported by men – but to make things more complicated, it’s not just that women make fewer reports, but women report substantively different kinds of reports.
Reka Solymosi, Kate Bowers and Taku Fujiyama investigated FixMyStreet reports and found (by determining gender from names of problem reporters) that different kinds of reports are more likely to be reported by men and women – they suggest that at “first glance it appears that men are more likely to report in categories related to driving (potholes and road problems), whereas women report more in categories related to walking (parks, dead animals, dog fouling, litter)”.
If different kinds of reports are differently gendered, this complicates thinking about how to improve how women use the website – as potential users are having substantially different experiences of problems in the real world well before they interact with the site. We have to engage with the nuance of this kind of finding to understand how to redress issues of access to services.
We’re currently in the process of extending this kind of analysis to our other service. For WriteToThem, we’ve learned that while the majority of people using the service to write to MPs are male (around 60%), this picture is different depending on the level of government – for instance the gender balance for people writing to councils is pretty close to 50/50.
As part of this, we’re investigating whether having the same gender as their representative makes people more likely to make contact. This has some interesting preliminary findings, and we hope to have more to say about this towards the end of the year.
Our research in this area is ongoing, and we’re keen to help people use our data to investigate under-representation – especially where you have expertise or knowledge that we don’t. If you’d like to discuss potential uses of the data please get in touch, or sign up to our mailing list to hear about future research releases.
When Mark, mySociety’s CEO, put out our recent request for new board members, he mentioned a specific goal:
There’s no getting past the fact that our current boards are entirely male. So for both roles we’d like to use this as an opportunity to redress the balance on each board, as well as add more diversity to better reflect the users of our services both in the UK and internationally.
You’ll have seen from his follow-up blog post announcing the appointments exactly how well we did in this aim.
But I wanted to explore this subject more deeply. When you explicitly state that you would welcome applications from women, what effect does it have on the gender split of those who come forward?
What difference does it make to the range of backgrounds that applicants come from, when you say that you’re hoping for more diversity?
And just what are mySociety actively doing about this aim, beyond sticking what could look very much like a token sentence into a job advert?
Well, it started off as a short blog post crunching the numbers. And then it got long.
When posts are too big for a quick skim, we put them on our Medium blog, so that’s where it ended up. Do go and have a look.
We know we haven’t cracked this one yet — indeed, we know that we barely even have the right vocabulary to talk about it — so comments are welcome.
Image: Dustin Oliver (cc-by-2.0)
As players were quick to notice, decisions made on our politician-sorting game Gender Balance were final. Thanks to volunteer coder Andy Lulham, that’s now been rectified with an ‘undo’ button.
Gender Balance is our answer to the fact that there’s no one source of gender information across the world’s legislatures—read more about its launch here. It serves up a series of politicians’ names and images, and asks you to identify the gender for each. Your responses, along with those of other players, helps compile a set of open data that will be available to all.
Many early players told us, however, that it’s all too easy to accidentally click the wrong button. (The reasons for this may be various, but we can’t help thinking that it’s often because there are so many males in a row that the next female comes as a bit of a surprise…)
In fact, this shouldn’t matter too much, because every legislature is served up to multiple players, and over time any anomalies will be ironed out of the data. That doesn’t stop the fact that it’s an upset to the user, though, and in the site’s first month of existence, an undo button has been the most-requested feature.
Thanks to the wonders of open source, anyone can take the code and make modifications or improvements, and that’s just what Andy did in this case. He submitted this pull request (if you look at that, you can see the discussion that followed with our own developers and our designer Zarino). We’ve merged his contribution back into the main code so all players will now have the luxury of being able to reverse a hasty decision. Thanks, Andy!
From Afghanistan to Zimbabwe, there are over 180 parliaments in the world — but what percentage of their members are female?
The crazy thing is, there’s no definitive figure*.
So we created Gender Balance, an easy game that crowd-sources gender data across every parliament in the world. Try it! We hope you’ll find it fun.
Gender Balance isn’t just an enjoyable way to fill half an hour, though: users will be helping to build up a dataset that will be useful for researchers, campaigners, politicians, and sociologists. As the results emerge, we’ll be making them available in an open format for anyone to use, to answer questions like:
- Which country has the highest proportion of women in parliament?
- Do women vote differently on issues like defence, the environment, or maternity benefits?
- Exactly when did women come into power in different countries, and did their presence change the way the country was run?
Gender Balance’s underlying data comes from another mySociety project—EveryPolitician, a database which aims to collect information on every politician in the world.
And while it’s nailing down those stats on gender balance across every country, Gender Balance also aims to be a showcase of what can be done with the open data from EveryPolitician. That data is free for anyone who wants to build tools like this, and it’s easy to use, too. Find out more about that here.
*While the Inter-Parliamentary Union does collect figures, they are self-reported, often out of date, and only cover its own members.