A Twitter Corpus for Hindi-English Code Mixed POS Tagging. - Kushagra Singh; Indira Sen; Ponnurangam Kumaraguru (SocialNLP@ACL, 2018)

Language Identification and Named Entity Recognition in Hinglish Code Mixed Tweets. - Kushagra Singh; Indira Sen; Ponnurangam Kumaraguru (ACL (3), 2018)

Empowering First Responders through Automated Multimodal Content Moderation. - Divam Gupta; Indira Sen; Niharika Sachdeva; Ponnurangam Kumaraguru; Arun Balaji Buduru (ICCC, 2018)

Worth its Weight in Likes: Towards Detecting Fake Likes on Instagram. - Indira Sen; Anupama Aggarwal; Shiven Mian; Siddharth Singh; Ponnurangam Kumaraguru; Anwitaman Datta (WebSci, 2018)

A Total Error Framework for Digital Traces of Humans. - Indira Sen; Fabian Flöck; Katrin Weller; Bernd Weiss; Claudia Wagner 001 (CoRR, 2019)

(Mis)Measuring People's Attitudes from Social Media. - Indira Sen (CSCW Companion, 2020)

On the Reliability and Validity of Detecting Approval of Political Actors in Tweets. - Indira Sen; Fabian Flöck; Claudia Wagner 001 (EMNLP (1), 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 001 (FAT*, 2020)

"Unsex me here": Revisiting Sexism Detection Using Psychological Scales and Adversarial Samples. - Mattia Samory; Indira Sen; Julian Kohne; Fabian Flöck; Claudia Wagner 001 (CoRR, 2020)

How Does Counterfactually Augmented Data Impact Models for Social Computing Constructs? - Indira Sen; Mattia Samory; Fabian Flöck; Claudia Wagner 001; Isabelle Augenstein (EMNLP (1), 2021)

"Call me sexist, but..." : Revisiting Sexism Detection Using Psychological Scales and Adversarial Samples. - Mattia Samory; Indira Sen; Julian Kohne; Fabian Flöck; Claudia Wagner 001 (ICWSM, 2021)

Counterfactually Augmented Data and Unintended Bias: The Case of Sexism and Hate Speech Detection. - Indira Sen; Mattia Samory; Claudia Wagner 001; Isabelle Augenstein (NAACL-HLT, 2022)

Documenting Web Data for Social Research (#DocuWeb22): A participatory workshop for developing structured and reusable practices. - Indira Sen; Leon Fröhling; Katrin Weller (WebSci, 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)

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)

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)

A Multidisciplinary Lens of Bias in Hate Speech. - Paula Reyero Lobo; Joseph Kwarteng; Mayra Russo; Miriam Fahimi; Kristen M. Scott; Antonio Ferrara 003; Indira Sen; Miriam Fernández (ASONAM, 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 001 (EMNLP, 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)

An Open Multilingual System for Scoring Readability of Wikipedia. - Mykola Trokhymovych; Indira Sen; Martin Gerlach (ACL (1), 2024)

The Geography of U.S. Companies That Care About Their Employees. - Indira Sen; Sanja Scepanovic; Marios Constantinides; Daniele Quercia (CHIWORK, 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 001 (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)

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)

Identifying, characterizing, and mitigating errors in the automated measurement of social constructs from text data - Indira Sen (2024)

Robustness and Confounders in the Demographic Alignment of LLMs with Human Perceptions of Offensiveness. - Shayan Alipour; Indira Sen; Mattia Samory; Tanushree Mitra (ACL (Findings), 2025)

Only a Little to the Left: A Theory-grounded Measure of Political Bias in Large Language Models. - Mats Faulborn; Indira Sen; Max Pellert; Andreas Spitz; David García 001 (ACL (1), 2025)

Missing the Margins: A Systematic Literature Review on the Demographic Representativeness of LLMs. - Indira Sen; Marlene Lutz; Elisa Rogers; David García 001; Markus Strohmaier (ACL (Findings), 2025)

Tell Me What You Know About Sexism: Expert-LLM Interaction Strategies and Co-Created Definitions for Zero-Shot Sexism Detection. - Myrthe Reuver; Indira Sen; Matteo Melis; Gabriella Lapesa (NAACL (Findings), 2025)

The Prompt Makes the Person(a): A Systematic Evaluation of Sociodemographic Persona Prompting for Large Language Models. - Marlene Lutz; Indira Sen; Georg Ahnert; Elisa Rogers; Markus Strohmaier (CoRR, 2025)