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Segun Aroyehun

@aroyehuns.bsky.social
52 followers 167 following 1 posts

Postdoc at Uni Konstanz working on computational social science, ML, and NLP| saroyehun.github.io

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Reposted by Segun Aroyehun
Alina Herderich, PhD @hailina.bsky.social · 22/07/2026
New tutorial on a core CSS problem: Text classification often treats "is this valid" and "does this model work" as separate questions hurting measurement quality. We propose "computational social mixed methods" to unify annotation, ML & stats into one coherent pipeline: doi.org/10.3758/s134... 🧵
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Reposted by Segun Aroyehun
Alina Herderich, PhD @hailina.bsky.social · 12/12/2025
@uni-graz.at featured our brand-new article on collective moderation of online spaces published in @pnasnexus.org 🥳 Wanna read what citizen-based strategies can be a remedy against online hate? Click here: ow.ly/csZK50XGteK @janalasser.bsky.social @aroyehuns.bsky.social @dgarcia.eu
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Reposted by Segun Aroyehun
Universität Konstanz @uni-konstanz.de · 04/11/2025
How does human language differ from texts generated by large language models? #UniKonstanz @excinequality.bsky.social study explored this question – and shows that while AI writes with increasing fluency, it could at the same time endanger the diversity of human expression: t1p.de/xo0x0
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Stephan Lewandowsky @lewan.uk · 10/04/2025
In our most recent study, which just appeared in Nature Human Behaviour with Segun Aroyehun as lead author (doi.org/10.1038/s415...) , we drew a wider historical arc and examined the rhetoric in all speeches given on the floor of Congress between 1879 and 2022. 16/n
doi.org
Computational analysis of US congressional speeches reveals a shift from evidence to intuition - Nature Human Behaviour
This research explores the linguistic traces of evidence-based reasoning and intuitive decision-making in congressional speeches from 1879 to 2022. The analysis suggests that evidence-based language h...
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Reposted by Segun Aroyehun
Fabio Carrella @fabiocarrella.bsky.social · 06/02/2025
How politicians communicate shapes online discourse in ways we might overlook. Our new paper shows that their choice between a fact-based (evidence-driven) and a belief-based (sincerity-driven) honesty creates a "contagion" effect, influencing how users engage and respond. ⬇️(1/8)
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