I wish my vacations were as eventful as the journey I had between the song title and the first 20 seconds of music.

I didn't have Rosalia meets Björk meets Yves Tumor on my timeline for this year. Then I got to the German chorus.

After an hour’s delay, you’ll get 25%, with two hours, 50% back from Deutsche Bahn. Doesn’t make up for the inconvenience, but it’s at least something…

Danke, danke! Hat sich ein Non-Diss Projekt mal ausgezahlt :D

Thanks!

What are our takeaways?
- Genuinely great breadth of tool development!
- These don’t agree, however, when applied to the same text
- Rather than criticising any single tool, we hope this is a benchmark and motivation to develop a more holistic, transparent and reflective approach to study morality

So what about it? Predicting parties’ use of moral foundations from their ideology, the measurements would lead you to different conclusions. Sometimes this concerns only significance, but with others, you will even get different effect directions.

We also compared the measurements on the original-language and English-translated manifestos. Dictionaries seem the hardest to translate. With all embedding-based measurements, their outputs are more similar, which is overall encouraging, though we also find some lower correlations here.

What did we find? Considering the same English-language text, the measurements don’t really agree on how much a certain moral foundation is present. Most correlations between approaches are low, max 0.2 and 0.3.

What tools?
We looked at the most common, off-the-shelf methods to measure different moral foundations (such as care, sanctity) in texts.
Where did we look?
All 800+ manifestos from the Manifesto Project in Spanish, English, Dutch or German, and their English translations.

I've never felt such accomplishments as my Docker scripts running on another persons machine using only my horrible readme file to guide them.