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Daniel Siormanolakis

@dsior.bsky.social
46 followers 145 following 4 posts

Communication Science Student @univie.ac.at | @compcommlab.bsky.social

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Daniel Siormanolakis @dsior.bsky.social · 10/09/2026
Wow, I'm absolutely speechless! Huge shout out to all the amazing folks at CCL who helped me with their feedback and mentoring, especially Petro Tolochko, @aytalina.bsky.social and @hajoboo.bsky.social !!!
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Hajo Boomgaarden @hajoboo.bsky.social · 23/06/2026
Thrilled and grateful that SYNAPS has been selected for ERC Advanced Grant funding. @erc.europe.eu SYNAPS looks at how 14- to 16-year-olds develop political interest, knowledge and engagement in a networked world shaped by peers, social media, influencers and algorithms. @compcommlab.bsky.social
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Jakob-Moritz Eberl @jamoeberl.bsky.social · 19/06/2026
Schwer erreichbare Gruppen sind kein Monolith. Wer ihre Perspektiven synthetisch modelliert statt erhebt, ersetzt Vielfalt durch Verflachung. Warum KI-Umfragen wohl nicht die derzeitigen Probleme der Markt- & Meinungsforschung lösen werden, habe ich mit @sndrschbr.bsky.social besprochen.
orf.at
„Höchst fahrlässig“: Wenn KI-Umfragen echte Menschen ersetzen
Der Boom rund um künstliche Intelligenz (KI) hat nun auch die Meinungsforschung erreicht. Mit Hilfe von synthetischen Stichproben, also KI-generierten Antworten auf Umfragen, sollen ansonsten schwer z...
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Nils C. Kumkar @nilskumkar.bsky.social · 04/05/2026
Erfrischend ironiefrei. www.faz.net/aktuell/feui...
faz.net
Memes für grüne Energie: Social-Media-Kampagne „Heimatstrom“
Mit KI-Bildern in faschistischer Ästhetik werben linke Influencer für grünen Strom. Sie wollen die Mitte der Gesellschaft erreichen. Aber zu welchem Preis?
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Brian Nosek @briannosek.bsky.social · 01/04/2026
Commentaries on SCORE papers from @asanchez-tojar.bsky.social, Jelte Wicherts, and @robbwiller.bsky.social www.nature.com/articles/d41...
nature.com
Huge meta-research project puts claims in social-science papers to the test
Three experts discuss lessons learnt from a large-scale dissection of the reproducibility, analytical robustness and replicability of published results.
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Daniel Siormanolakis @dsior.bsky.social · 30/11/2025
what an utterly embarassing statement
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Daniel Siormanolakis @dsior.bsky.social · 08/11/2025
it's giving new staple package
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jon ben-menachem @jbenmenachem.com · 21/10/2025
Wow. Harvard nuking its PhD programs - Science PhD admissions reduced by more than 75% - Arts & Humanities reduced by about 60% - Social Sciences by 50–70% - History by 60% - Biology by 75% - The German department will lose all PhD seats - Sociology from six PhD students to zero
thecrimson.com
Harvard FAS Cuts Ph.D. Seats By More Than Half Across Next Two Admissions Cycles | News | The Harvard Crimson
The Faculty of Arts and Sciences slashed the number of Ph.D. student admissions slots for the Science division by more than 75 percent and for the Arts & Humanities division by about 60 percent for th...
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Jakob-Moritz Eberl @jamoeberl.bsky.social · 21/05/2025
Kolleg:innen bitten um Teilnahme: "Hören Sie gerne Hörbücher? Für eine Studie der Universität Wien interessiert uns, wie Sie die Stimmen von verschiedenen Sprecher:innen beurteilen. Die Umfrage dauert 10 Minuten und ist anonym." 📖🎙️🎧 Hier geht's zur Umfrage 👇
univie.questionpro.eu
Online-Experiment Replikation - This survey is created by QuestionPro
Online-Experiment Replikation - This survey is created by QuestionPro
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Tobias Dienlin @tobiasdienlin.com · 09/05/2025
New Preprint: "A Simple Future For Media Effects" @lennertcoenen.bsky.social, @yesuncomm.bsky.social, & I critically discuss our field's current emphasis on complexity. Instead, we argue to value description, prioritize regularities, formalize models, and unify theories. osf.io/preprints/os...
A key axiom in media effects research is that effects are nuanced, varied, and indirect. Although this is true ontologically, asking for ever-more ’nuanced’ analyses of media effects is problematic epistemologically as it stands in the way of more insightful, falsifiable, and robust theorizing. For this reason, we advocate a shift in research priorities and propose four guidelines for future research: 1. Value description; 2. Prioritize regularities; 3. Formalize models; 4. Unify theories. A collective effort along these lines will allow for better cumulative theorizing and, in turn, a stronger understanding and explanation of media effects.
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