Anke Stoll
Anke Stoll
Researcher at Ilmenau University of Technology, Germany
Bestätigte E-Mail-Adresse bei - Startseite
Zitiert von
Zitiert von
Overview of the GermEval 2021 shared task on the identification of toxic, engaging, and fact-claiming comments
J Risch, A Stoll, L Wilms, M Wiegand
Proceedings of the GermEval, 1-12, 2021
hpiDEDIS at GermEval 2019: Offensive Language Identification using a German BERT model.
J Risch, A Stoll, M Ziegele, R Krestel
Detecting Impoliteness and Incivility in Online Discussions: Classification Approaches for German User Comments
A Stoll, M Ziegele, O Quiring
Computational Communication Research 2 (1), 109-134, 2020
Gender-related differences in online comment sections: Findings from a large-scale content analysis of commenting behavior
C Küchler, A Stoll, M Ziegele, TK Naab
Social Science Computer Review 41 (3), 728-747, 2023
HHU at SemEval-2019 Task 6: Context does matter-tackling offensive language identification and categorization with ELMo
A Oberstrass, J Romberg, A Stoll, S Conrad
Proceedings of the 13th international workshop on semantic evaluation, 628-634, 2019
Supervised Machine Learning mit Nutzergenerierten Inhalten: Oversampling für nicht balancierte Trainingsdaten
A Stoll
Publizistik 65 (2), 233-251, 2020
Developing an incivility dictionary for German online discussions–a semi-automated approach combining human and artificial knowledge
A Stoll, L Wilms, M Ziegele
Communication Methods and Measures 17 (2), 131-149, 2023
AQuA--Combining Experts' and Non-Experts' Views To Assess Deliberation Quality in Online Discussions Using LLMs
M Behrendt, SS Wagner, M Ziegele, L Wilms, A Stoll, D Heinbach, ...
arXiv preprint arXiv:2404.02761, 2024
Technology acceptance and transparency demands for toxic language classification–interviews with moderators of public online discussion fora
LK Wilms, K Gerl, A Stoll, M Ziegele
Human–Computer Interaction, 1-26, 2024
Machine Learning for the Automated Content Analysis of Incivility in Online Discussions
A Stoll
Heinrich Heine University Düsseldorf, 2024
The Accuracy Trap or How to Build a Phony Classifier
A Stoll
Challenges and perspectives of hate speech research 12, 371–381, 2023
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