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#culturalanalytics

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SODa

🚨Morgen, 18. Juni, nicht verpassen!

SODa Forum: Cultural Data Worlds – From Object to Analysis
🕙 10:00–11:30 Uhr
📌sammlungen.io/join

Wir freuen uns sehr auf den Vortrag von Prof. Dr. Lev Manovich, der zu den wichtigsten Stimmen einer datenbasierten Kulturforschung zählt. Manovich schlägt den Bogen von der algorithmischen Bildanalyse mit Tools wie ImageJ bis zur kritischen Reflexion synthetischer Bildwelten durch Midjourney & Co.
#SODaZentrum #CulturalAnalytics #DigitalHumanities #AI

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SODa

SODa Forum: Cultural Data Worlds – From Object to Analysis
🗓️ 18. Juni 2025
🕙 10:00–11:30 Uhr
📌 sammlungen.io/join
Wir freuen uns sehr auf den Vortrag von Prof. Dr. Lev Manovich, der zu den wichtigsten Stimmen einer datenbasierten Kulturforschung zählt. Manovich schlägt den Bogen von der algorithmischen Bildanalyse mit Tools wie ImageJ bis zur kritischen Reflexion synthetischer Bildwelten durch Midjourney & Co.

#SODaZentrum#CulturalAnalytics#DigitalHumanities
Continued thread
JCLS

Feldkamp et al. reveal diverse perspectives on literary quality and show that expert opinion often conflicts with crowd-sourced ratings & award nominations, highlighting the complexity of measuring literary quality. doi.org/10.48694/jcls.3908 #CLS #CCLS24 #LiteraryQuality #CulturalAnalytics

Journal of Computational Literary StudiesMeasuring Literary Quality. Proxies and PerspectivesComputational studies of literature use proxies like sales numbers, human judgments, or canonicity to estimate literary quality. However, many quantitative use one such measure as a gold standard without fully reflecting on what it represents. We examine the interrelation of 14 proxies of literary quality in novels published in the US from the late 19th to 20th century, distinguishing between expert-based judgments (e.g., syllabi, anthologies) and crowd-based ones (e.g., GoodReads ratings). We show that works favored in expert-based judgments often score lower on GoodReads, while award-nominated works tend to circulate more widely in libraries. Generally, two main kinds of `quality perception' emerge as we map the literary judgment landscape: One associated with canonical literature and one with more popular literature. Additionally, prestige in genre literature, reflected in awards like the Hugo Award, forms a distinct category, more aligned with popular than canonical proxies.
Andres Karjus

Submission open until 15.10 for
#DHNB2025 Conference "Digital Dreams and Practices", this time held in Tartu, Estonia on 5-7 March 2025
#DH #CUDAN #culturalanalytics #digitalhumanities
Invited topics include but are not limited to:
(1) integration of trad humanities w computational techniques
(2) transition of #DH from the academic "ivory tower" to societal practice;
(3) practical applications of #AI
Submission types: long&short papers, abstracts/posters.
More info here: dhnb.eu/conferences/dhnb2025

Harald Klinke

#CulturalAnalytics at its best:

Researchers from Tallinn University have published a groundbreaking study on Tinder's gendered self-representation, employing machine learning to analyze 10,680 profiles. This comprehensive analysis not only identifies key visual self-representation trends but also opens new avenues for cross-platform and cultural research in digital visual culture.
osf.io/preprints/socarxiv/m54z
#MachineLearning #GenderStudies #cudan

Continued thread
Harald Klinke

AI image synthesis as a reflexive tool in cultural analysis. This study delves into #CriticalImageSynthesis using systems like DALL-E and Stable Diffusion, revealing biases within machine vision representations. By framing AI synthesis as inverted machine vision, it prompts a closer look at cultural portrayals. The project overlays AI-generated images with speculative textual descriptors, creating a visual-lexical poetry fusion.
olh.openlibhums.org/article/id
#AIResearch #CulturalAnalytics

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