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.