
Jan Schwalbach
@janschwalbach
Postdoctoral researcher @gesis_org working on digital behavioral data and legislative politics
ID: 942771245074010112
https://sites.google.com/view/janschwalbach 18-12-2017 14:59:15
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893 Followers
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First publication Legislative Studies Quarterly! Stefan M | @stefanmueller.bsky.social and I use a transformer-based machine learning model to analyze over 870,000 tweets and parliamentary questions. Focusing on Irish legislators, we examine the impact of landlord status on housing policy issue emphasis and positions.


Very happy to see our article "Location matters! Geospatial dynamics of MP responses to Covid-19 protests in multilevel systems" out in EJPR journal: doi.org/10.1111/1475-6… Thanks for the great teamwork Lennart Schürmann & @NoamHimmelrath. See Lennart's thread for more details👇


📢 How does protest location affect the likelihood of politicians’ engagement? Using quantitative text analysis, Lennart Schürmann Jan Schwalbach & @NoamHimmelrath examine geospatial dynamics of MP responses to #Covid19 protests in multilevel systems #OA 🔓 bit.ly/4eYRufx


Jan Schwalbach assesses the role of theoretical concepts for analysing legislative text data and makes some recommendations for the theoretical approach to quantitative textual analyses of parliamentary documents. Read more here: doi.org/10.1177/205316…

So happy to see #ParlLawSpeech out there after years of scraping, cleaning, validating... have a look at our website parllawspeech.org and keep us posted if you use the data (free access via GESIS @gesisorg.bsky.social here: doi.org/10.7802/2824).