Out now: #LitLab-Pamphlet #11 “Understanding Reading”
Thomas Weitin shares the latest insights from empirical reading research, available in German and English: https://t.co/N2e1RyuXLe
#ReadingResearch#DH
@CompHumResearch 2023 proceedings are out! The scale of the conference exploded: 49 full papers across 830 pages 👾
https://t.co/gDKTphiVdA
Not possible w/o @FolgertK, Melvin Wevers, @Iza_Romanowska@fotisja@F_Cafiero @MariePuren and all authors following CEUR guildelines 👀
We want you👉! Wissenschaftliche:r Mitarbeiter:in (Doktorand:in, 100%) im Bereich Digitale Germanistische Mediävistik @linglitTUDA gesucht! Für Rückfragen gerne DM oder Email. https://t.co/Fd3RyqMVQX und https://t.co/xEFcsgK1jM
📢 Out Now: T. Weitin, J. Bühler, @JBrottrager@a_glawion & J. Doat analysieren mittels Metadatenanayse Veränderungen in #HarryPotter-#Fanfiction im Corona-Jahr 2020! 🧙♂️
👉https://t.co/W9hFQBfwZy
@JeanBarre_ @Jbcamps @tpoibeau This looks super interesting, thanks for the summary! I feel like it's really getting time for a conference on computational approaches to canon/canonization processes!
His approach here is similar to the #LitLab pamphlet on character shifts in Harry Potter fanfics that we’ve written together - and which has been re-published in https://t.co/EYnBa4boJT 🪄
2 neue Titel @DHdarmstadt@DHCooperation@linglitTUDA 1. @zsofipilz Bad Fiction and the Brain... https://t.co/3Gr6lsPxIx; 2. @JulianHaeussler: Fanfiction R-rated... https://t.co/tF3p61QlZj #DH#OA @ULB_DA
@JulianHaeussler looks at sensitive topics in fanfics and explores how quantitative methods can be used analyse them.
🗃️https://t.co/LW7iqpw0LG
📙https://t.co/vKjjgee4jj
2 neue Titel @DHdarmstadt@DHCooperation@linglitTUDA 1. @zsofipilz Bad Fiction and the Brain... https://t.co/3Gr6lsPxIx; 2. @JulianHaeussler: Fanfiction R-rated... https://t.co/tF3p61QlZj #DH#OA @ULB_DA
DHDarmstadt sucht Verstärkung: Aktuell sind – vorbehaltlich der endgültigen Mittelzuweisung – drei Stellen zu besetzen: https://t.co/DbjiXqbX8t. Bewerbt Euch und kommt ins Team 🏰😉!
Das #LitLab-Pamphlet #10 ist online: 'Character Shifts in Harry Potter Fanfiction' von @JBrottrager, Joel Doat, @JulianHaeussler und Thomas Weitin.
➡��� https://t.co/QfmZSvIBxK
En route to #DH2023 and excited for some great days in Graz! If you’re interested in fanfiction and/or literary network analysis, join Katharina Herget and me on Friday morning for our presentation on collaborative practices in our German-language fanfiction corpus 🎉
Die Autor*innen @SabineBartsch, @EvelynGius, @marcus_dislab, @RappAndrea und Thomas Weitin denken in ihrem Beitrag darüber nach, wie digitale Analysen Grundbegriffe der Sprach- und Literaturwissenschaft problematisch und damit deutlicher werden lassen: https://t.co/dGQVFQmUpD
I am still a bit baffled that it's happening - my book is available for preorder!
"Remembering World War II: A Mixed-Methods Exploration of Memory Practices on an Online Forum" https://t.co/RtIAbgogXL
A comprehensive analysis of reception & evaluation processes would have to consider socio-historical factors that have nothing to do with text features — but that’s a task for another day 🌅 [n/n]
Just out! "Modeling and Predicting Literary Reception. A Data-Rich Approach to Literary Historical Reception" by Judith Brottrager, Annina Stahl, Arda Arslan, Ulrik Brandes and Thomas Weitin. https://t.co/KYzWsB8SCC [1/3]
What can we learn from these results? Even with carefully operationalised literary categories and an appropriate set of features, it’s pretty hard to predict a text’s reception from text features alone. [10/n]