There are a *bunch* of other incredible computational communication scholars running as well! I hope you'll vote for me but I actually feel pretty conflicted myself! If one of the other candidates gets the plurality, I think that would pretty awesome too! (5/5)
I've posted a candidate statement that you can read on the election site. The things I'm most psyched to do include increasing the presence/profile of computational methods in the field/@email@example.com & working to increase diversity, #openscience, and #openaccess within @firstname.lastname@example.org. (4/5)
This is basically a "service role." Leadership plans the conference, goes to meetings, and so on. I'm running because although I teach at @UWComm@twitter.com, my background/training is outside com. @email@example.com provided a home for me and an path into the field. I am running to give back. (3/5)
You need to be a member of @firstname.lastname@example.org and the @email@example.com sub-group to vote. If you do computational work in/around communication, you should *definitely* be a part of @firstname.lastname@example.org! Details on how to vote are on this page: https://www.icahdq.org/page/Election2019 (2/5)
The other keynotes are @email@example.com, @firstname.lastname@example.org & @email@example.com! I'm *even more* humbled to be at the top of the program with those three! @firstname.lastname@example.org 2019 is going to be great!
As a lifelong Seattleite and most-of-my-lifelong free software person, I am *incredibly* honored to be giving one of the keynote addresses at @email@example.com this year.
The fourth and final @seagl 2019 keynote has just been announced. We are very excited to have @makoshark presenting - https://seagl.org/news/2@firstname.lastname@example.org/30/keynote-benjamin-mako-hill.html
I have known @email@example.com for many years. She is *so* deserving of the @EFF@twitter.com pioneer award. Her speech is important and incredibly timely. I feel honored to know her and to have worked with her!
Last night, I@firstname.lastname@example.org by the @EFF. As I reflected on what got me@EFF@twitter.comthis place, I realized I needed to reckon with how I have benefited from men whose actions have helped…
A new paper I worked on describes how Discord moderators build innovative solutions to scaling problems with tools from their past experience w/ Reddit as guides & templates. The work was led by Charlie Kiene w/ Aaron Jiang. #CSCW2019 https://mako.cc/copyrighteous/how-discord-moderators-build-innovative-solutions-to-problems-of-scale-with-the-past-as-a-guide
Read about my research groups newest project on measuring and modeling "underproduction" of software infrastructure. Project is led by Kaylea Champion w/ help from Aaron Shaw, Mortan Warncke-Wang & me. Funding is from the Ford and Sloan Foundations. https://blog.communitydata.science/new-project-software-infrastructure-risk/
this talk by @mako last year on how the tools of free software have been co-opted in order to create freedom for companies instead of freedom for humans did a great job of bringing together a bunch of threads I've been following recently as well as pointing out new insights and ways forward.
highly recommended if you care about ways in which software can help people and are concerned about our work being subverted.
Thank you for sharing!
It's really important to remind us of the moral dimension of software freedom and to link this to human freedom: Free Software is primarily for people and not to create freedom for companies.
"How markets plundered Free Software's best stuff and used it to create freedom for companies, not people"
And one by @mako on his website:
This echoes @mako’s thoughts:
‘These decisions to embrace nonfree and private development tools undermine our credibility in advocating for software freedom and compromise our freedom, and that of our users, in ways that we should reject.’
— Free Software Needs Free Tools 👉🏻 https://mako.cc/writing/hill-free_tools.html
The analysis is built around a series of Bayesian regression models at different stages of user experience that we used to unpack the way that the relationships between gender/feedback and sharing/participation look very different among less/more experienced users.
One important takeaway hidden by looking only at overall averages is that although boys are more likely to share the the projects they create initially, the reverse is true among more experienced users!
Posted a write-up of my recent paper (led by Emilia Gan and Sayamindu Dasgupta) showing how the relationship between gender & feedback and users' decision to share their work on @Scratch shifts as users' gain experience. https://blog.communitydata.science/scratch-gender-feedback-dynamics/