Indira Sen

According to our database, Indira Sen authored at least 26 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Identifying, characterizing, and mitigating errors in the automated measurement of social constructs from text data

Indira Sen

PhD thesis, 2024

Sensitive Content Classification in Social Media: A Holistic Resource and Evaluation.

Dimosthenis Antypas, Indira Sen, Carla Pérez-Almendros, José Camacho-Collados, Francesco Barbieri

CoRR, 2024

Robustness and Confounders in the Demographic Alignment of LLMs with Human Perceptions of Offensiveness.

Shayan Alipour, Indira Sen, Mattia Samory, Tanushree Mitra

CoRR, 2024

From Measurement Instruments to Data: Leveraging Theory-Driven Synthetic Training Data for Classifying Social Constructs.

Lukas Birkenmaier, Matthias Roth, Indira Sen

CoRR, 2024

The Unseen Targets of Hate - A Systematic Review of Hateful Communication Datasets.

Zehui Yu, Indira Sen, Dennis Assenmacher, Mattia Samory, Leon Fröhling, Christina Dahn, Debora Nozza, Claudia Wagner

CoRR, 2024

The Geography of U.S. Companies That Care About Their Employees.

Indira Sen, Sanja Scepanovic, Marios Constantinides, Daniele Quercia

Proceedings of the 3rd Annual Meeting of the Symposium on Human-Computer Interaction for Work, 2024

An Open Multilingual System for Scoring Readability of Wikipedia.

Mykola Trokhymovych, Indira Sen, Martin Gerlach

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023

Total Error Sheets for Datasets (TES-D) - A Critical Guide to Documenting Online Platform Datasets.

Leon Fröhling, Indira Sen, Felix Soldner, Leonie Steinbrinker, Maria Zens, Katrin Weller

CoRR, 2023

People Make Better Edits: Measuring the Efficacy of LLM-Generated Counterfactually Augmented Data for Harmful Language Detection.

Indira Sen, Dennis Assenmacher, Mattia Samory, Isabelle Augenstein, Wil M. P. van der Aalst, Claudia Wagner

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

A Multidisciplinary Lens of Bias in Hate Speech.

Paula Reyero Lobo, Joseph Kwarteng, Mayra Russo, Miriam Fahimi, Kristen M. Scott, Antonio Ferrara, Indira Sen, Miriam Fernández

Proceedings of the International Conference on Advances in Social Networks Analysis and Mining, 2023

2022

Depression at Work: Exploring Depression in Major US Companies from Online Reviews.

Indira Sen, Daniele Quercia, Marios Constantinides, Matteo Montecchi, Licia Capra, Sanja Scepanovic, Renzo Bianchi

Proc. ACM Hum. Comput. Interact., 2022

Insider Stories: Analyzing Internal Sustainability Efforts of Major US Companies from Online Reviews.

Indira Sen, Daniele Quercia, Licia Capra, Matteo Montecchi, Sanja Scepanovic

CoRR, 2022

Visualizing Internal Sustainability Efforts in Big Companies.

Chiara Ceccarini, Edyta Paulina Bogucka, Indira Sen, Marios Constantinides, Catia Prandi, Daniele Quercia

IEEE Computer Graphics and Applications, 2022

Documenting Web Data for Social Research (#DocuWeb22): A participatory workshop for developing structured and reusable practices.

Indira Sen, Leon Fröhling, Katrin Weller

Proceedings of the WebSci '22: 14th ACM Web Science Conference 2022, Barcelona, Spain, June 26, 2022

Counterfactually Augmented Data and Unintended Bias: The Case of Sexism and Hate Speech Detection.

Indira Sen, Mattia Samory, Claudia Wagner, Isabelle Augenstein

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

2021

"Call me sexist, but..." : Revisiting Sexism Detection Using Psychological Scales and Adversarial Samples.

Mattia Samory, Indira Sen, Julian Kohne, Fabian Flöck, Claudia Wagner

Proceedings of the Fifteenth International AAAI Conference on Web and Social Media, 2021

How Does Counterfactually Augmented Data Impact Models for Social Computing Constructs?

Indira Sen, Mattia Samory, Fabian Flöck, Claudia Wagner, Isabelle Augenstein

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

2020

"Unsex me here": Revisiting Sexism Detection Using Psychological Scales and Adversarial Samples.

Mattia Samory, Indira Sen, Julian Kohne, Fabian Flöck, Claudia Wagner

CoRR, 2020

From the total survey error framework to an error framework for digital traces of humans: translation tutorial.

Indira Sen, Fabian Flöck, Katrin Weller, Bernd Weiss, Claudia Wagner

Proceedings of the FAT* '20: Conference on Fairness, 2020

On the Reliability and Validity of Detecting Approval of Political Actors in Tweets.

Indira Sen, Fabian Flöck, Claudia Wagner

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

(Mis)Measuring People's Attitudes from Social Media.

Indira Sen

Proceedings of the Companion Publication of the 2020 ACM Conference on Computer Supported Cooperative Work and Social Computing, 2020

2019

A Total Error Framework for Digital Traces of Humans.

Indira Sen, Fabian Flöck, Katrin Weller, Bernd Weiss, Claudia Wagner

CoRR, 2019

2018

Worth its Weight in Likes: Towards Detecting Fake Likes on Instagram.

Indira Sen, Anupama Aggarwal, Shiven Mian, Siddharth Singh, Ponnurangam Kumaraguru, Anwitaman Datta

Proceedings of the 10th ACM Conference on Web Science, 2018

Empowering First Responders through Automated Multimodal Content Moderation.

Divam Gupta, Indira Sen, Niharika Sachdeva, Ponnurangam Kumaraguru, Arun Balaji Buduru

Proceedings of the 2018 IEEE International Conference on Cognitive Computing, 2018

Language Identification and Named Entity Recognition in Hinglish Code Mixed Tweets.

Kushagra Singh, Indira Sen, Ponnurangam Kumaraguru

Proceedings of ACL 2018, Melbourne, Australia, July 15-20, 2018, Student Research Workshop, 2018

A Twitter Corpus for Hindi-English Code Mixed POS Tagging.

Kushagra Singh, Indira Sen, Ponnurangam Kumaraguru

Proceedings of the Sixth International Workshop on Natural Language Processing for Social Media, 2018