Indira Sen
Indira Sen
Doctoral Researcher, RWTH Aachen, GESIS
Bestätigte E-Mail-Adresse bei - Startseite
Zitiert von
Zitiert von
Worth its weight in likes: Towards detecting fake likes on instagram
I Sen, A Aggarwal, S Mian, S Singh, P Kumaraguru, A Datta
Proceedings of the 10th ACM conference on web science, 205-209, 2018
A Twitter corpus for Hindi-English code mixed POS tagging
K Singh, I Sen, P Kumaraguru
Proceedings of the sixth international workshop on natural language …, 2018
Language identification and named entity recognition in hinglish code mixed tweets
K Singh, I Sen, P Kumaraguru
Proceedings of ACL 2018, Student Research Workshop, 52-58, 2018
A total error framework for digital traces of human behavior on online platforms
I Sen, F Flöck, K Weller, B Weiß, C Wagner
Public Opinion Quarterly 85 (S1), 399-422, 2021
“Call me sexist, but...”: Revisiting Sexism Detection Using Psychological Scales and Adversarial Samples
M Samory, I Sen, J Kohne, F Flöck, C Wagner
Proceedings of the international AAAI conference on web and social media 15 …, 2021
TED-On: A Total Error Framework for Digital Traces of Human Behavior on Online Platforms
I Sen, F Floeck, K Weller, B Weiss, C Wagner
arXiv preprint arXiv:1907.08228, 2019
On the reliability and validity of detecting approval of political actors in tweets
I Sen, F Flöck, C Wagner
Proceedings of the 2020 conference on empirical methods in natural language …, 2020
How Does Counterfactually Augmented Data Impact Models for Social Computing Constructs?
I Sen, M Samory, F Flöck, C Wagner, I Augenstein
Conference on Empirical Methods in Natural Language Processing (pp. 325-344)., 2021
Counterfactually augmented data and unintended bias: The case of sexism and hate speech detection
I Sen, M Samory, C Wagner, I Augenstein
In Proceedings of the 2022 Conference of the North American Chapter of the …, 2022
Depression at work: exploring depression in major US companies from online reviews
I Sen, D Quercia, M Constantinides, M Montecchi, L Capra, S Scepanovic, ...
Proceedings of the ACM on Human-Computer Interaction 6 (CSCW2), 1-21, 2022
Visualizing internal sustainability efforts in big companies
C Ceccarini, EP Bogucka, I Sen, M Constantinides, C Prandi, D Quercia
IEEE Computer Graphics and Applications 42 (3), 87-98, 2022
Insider stories: analyzing internal sustainability efforts of major US companies from online reviews
I Sen, D Quercia, L Capra, M Montecchi, S Šćepanović
Humanities and Social Sciences Communications 10 (1), 1-9, 2023
Empowering first responders through automated multimodal content moderation
D Gupta, I Sen, N Sachdeva, P Kumaraguru, AB Buduru
2018 IEEE International Conference on Cognitive Computing (ICCC), 1-8, 2018
Applying a total error framework for digital traces to social media research
I Sen, F Flöck, K Weller, B Weiß, C Wagner
Handbook of Computational Social Science, Volume 2, 127-139, 2021
From the total survey error framework to an error framework for digital traces of humans: translation tutorial
I Sen, F Flöck, K Weller, B Weiß, C Wagner
Proceedings of the 2020 Conference on Fairness, Accountability, and …, 2020
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
Total Error Sheets for Datasets (TES-D)--A Critical Guide to Documenting Online Platform Datasets
L Fröhling, I Sen, F Soldner, L Steinbrinker, M Zens, K Weller
arXiv preprint arXiv:2306.14219, 2023
A Multidisciplinary Lens of Bias in Hate Speech
PR Lobo, J Kwarteng, M Russo, M Fahimi, K Scott, A Ferrara, I Sen, ...
The End of the Rehydration Era The Problem of Sharing Harmful Twitter Research Data
D Assenmacher, I Sen, L Fröhling, C Wagner
Documenting Web Data for Social Research (# DocuWeb22): A participatory workshop for developing structured and reusable practices
I Sen, L Fröhling, K Weller
Proceedings of the 14th ACM Web Science Conference 2022, 478-479, 2022
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