Dennis Assenmacher
Zitiert von
Zitiert von
Demystifying social bots: On the intelligence of automated social media actors
D Assenmacher, L Clever, L Frischlich, T Quandt, H Trautmann, ...
Social Media+ Society 6 (3), 2056305120939264, 2020
Changing perspectives: Is it sufficient to detect social bots?
C Grimme, D Assenmacher, L Adam
Social Computing and Social Media. User Experience and Behavior: 10th …, 2018
An empirical comparison of stream clustering algorithms
M Carnein, D Assenmacher, H Trautmann
Proceedings of the computing frontiers conference, 361-366, 2017
Just another day on twitter: A complete 24 hours of twitter data
J Pfeffer, D Matter, K Jaidka, O Varol, A Mashhadi, J Lasser, ...
Proceedings of the International AAAI Conference on Web and Social Media 17 …, 2023
Benchmarking crisis in social media analytics: a solution for the data-sharing problem
D Assenmacher, D Weber, M Preuss, A Calero Valdez, A Bradshaw, ...
Social Science Computer Review 40 (6), 1496-1522, 2022
A two-phase framework for detecting manipulation campaigns in social media
D Assenmacher, L Clever, JS Pohl, H Trautmann, C Grimme
Social Computing and Social Media. Design, Ethics, User Behavior, and Social …, 2020
FakeYou!-a gamified approach for building and evaluating resilience against fake news
L Clever, D Assenmacher, K Müller, MV Seiler, DM Riehle, M Preuss, ...
Multidisciplinary international symposium on disinformation in open online …, 2020
Stream clustering of chat messages with applications to twitch streams
M Carnein, D Assenmacher, H Trautmann
Advances in Conceptual Modeling: ER 2017 Workshops AHA, MoBiD, MREBA …, 2017
A Twitter Streaming Dataset collected before and after the Onset of the War between Russia and Ukraine in 2022
J Pohl, MV Seiler, D Assenmacher, C Grimme
Available at SSRN 4066543, 2022
Moderator- and Crowd-Annotated German News Comment Datasets
D Assenmacher, M Niemann, K Müller, M Seiler, DM Riehle, H Trautmann
Thirty-Fifth Conference on Neural Information Processing Systems Datasets …, 2021
Towards real-time and unsupervised campaign detection in social media
D Assenmacher, L Adam, H Trautmann, C Grimme
The Thirty-Third International Flairs Conference, 2020
stream: Infrastructure for Data Stream Mining
M Hahsler, M Bolanos, J Forrest, M Carnein, D Assenmacher
R package version, 1.2-4, 2017
Building an integrated comment moderation system–towards a semi-automatic moderation tool
DM Riehle, M Niemann, J Brunk, D Assenmacher, H Trautmann, J Becker
International Conference on Human-Computer Interaction, 71-86, 2020
Abusive Comments in Online Media and How to Fight Them: State of the Domain and a Call to Action
M Niemann, J Welsing, DM Riehle, J Brunk, D Assenmacher, J Becker
Disinformation in Open Online Media: Second Multidisciplinary International …, 2020
Bundestagswahl 2017: Social-media-Angriff auf das# kanzlerduell
C Grimme, D Assenmacher, M Preuss, L Adam, JFH Lütke-Stokdiek
PropStop (PropStop Technischer Bericht), 2017
Classifying music genres using image classification neural networks
AK Hassen, H Janßen, D Assenmacher, M Preuss, I Vatolkin
Archives of Data Science, Series A (Online First) 5 (1), 20, 2018
Bitcoin und E-Commerce
D Assenmacher
Westfäl. Wilhelms-Univ. Münst, 2013
Artificial Social Media Campaign Creation for Benchmarking and Challenging Detection Approaches.
JS Pohl, D Assenmacher, MV Seiler, H Trautmann, C Grimme
ICWSM Workshops, 2022
D Assenmacher, L Adam, L Frischlich, H Trautmann, C Grimme
arXiv preprint arXiv:1902.06691, 2019
People Make Better Edits: Measuring the Efficacy of LLM-Generated Counterfactually Augmented Data for Harmful Language Detection
I Sen, D Assenmacher, M Samory, I Augenstein, W van der Aalst, ...
arXiv preprint arXiv:2311.01270, 2023
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