#compsocsci — Public Fediverse posts

📜 We've got a new article out 📜

*Angst M, Müller NN, Walker V. Automated extraction of discourse networks from large volumes of media data* (open access)

https://doi.org/10.1017/nws.2025.4

As part of our sustainability.discourses project, we developed an automated method to gather and track discourse networks around urban sustainable mobility, based on media data.

The article describes the approach in detail and reports an evaluation of the internal validity (do we measure what we ourselves think we measure) of the pipeline.

tl;dnr: Automating discourse network data gathering can work well to capture broader tendencies. In many cases, it is likely not worth investing in automating data gathering to understand discourse however.

Want to see the daily updated pipeline in action? Check out the web apps and resources here: https://sustainability.discourses.ch/en/

#CompSocSci #policystudies #networkscience #nlp #nlproc

🇪🇺 Want to analyze text from the EU public consultations? EU public consultations are a way in which the EU invites the broader public to publicly comment on upcoming legislation.

📦 :python: I just published a first version of a Python package {eu-consultations} to scrape and extract text from the EU website:
https://github.com/marioangst/eu_consultations

- download consultation data as displayed on the EU's frontend into a validated form
- download associated files (this is the hard part about analysing this data - lots of feedback is in .docx and .pdf files)
- extract text from the files using docling and attach to feedback

You get all data in validated form and possibly stored in huge (sorry for that) JSON files ;).

This package is part of an analysis project on feedback the EU has received via the public consultation process on digital policy we plan to present later this year, but I thought let's make some of the tools we use open source way earlier already.

#python #textanalysis #policyanalysis #CompSocSci

RT @iniguezg: Clock is ticking! Remember to apply for our Postdoc position by Nov 30! Come with us to The North at the Tampere Complexity Lab to work on #NetworkScience #CompSocSci & #Complexity! Apply here: https://tuni.rekrytointi.com/paikat/?o=A_RJ&jgid=1&jid=2002 and contact me for questions! Shares appreciated!

Soon I will announce a PhD position for a project about the computational modelling of narrative strategies in argumentative texts.

Joint supervision with my @gronlp colleague @Khalid

#nlproc #nlp #DigitalHumanites #computationalhumanities #compsocsci #compsocialsci

RT @iniguezg: Postdoc alert! Come and join us in the North beyond at the newly founded Tampere Complexity Lab! Let's do fun work on #NetworkScience #CompSocSci & #Complexity! Send me a msg/email w/ questions! Deadline Nov 30 or until we find YOU Apply here: https://tuni.rekrytointi.com/paikat/?o=A_RJ&jgid=1&jid=2002

Hey #CompSocSci and #DigitalHumanities people, do any of you have experience with studying Tinder? Is it even possible to collect Tinder data? Any hints (and boosts) appreciated!

potentially naive #question for the #NLProc and #CompSocSci crowd.

I'm doing gradient boosted tree-based regression with social media engagement metrics (e.g., # retweets) as outcome variable. Which means overdispersion + lots of mass in the low end of the distribution.

Seems like Tweedie loss may be the silver bullet for this kind of outcomes. Any downsides or alternative approaches I should be aware of?

For all my #HCI / #SocialComputing / #CompSocSci friends here, I'm excited that we have Mastodon as a space to support this community in the post-Twitter times.

I think Reddit could serve a valuable auxiliary function as a place to host lasting discussions across the community. Join me at https://reddit.com/r/CompSocial/ and let's co-create a thriving community there!

#CHI #CSCW #ICWSM