A 'Sourceful' Twist: Emoji Prediction Based on Sentiment, Hashtags and Application Source. - Pranav Venkit; Zeba Karishma; Chi-Yang Hsu; Rahul Katiki; Ting-Hao Kenneth Huang; Shomir Wilson; Patrick Dudas (CoRR, 2021)

Identification of Bias Against People with Disabilities in Sentiment Analysis and Toxicity Detection Models. - Pranav Narayanan Venkit; Shomir Wilson (CoRR, 2021)

A Study of Implicit Bias in Pretrained Language Models against People with Disabilities. - Pranav Narayanan Venkit; Mukund Srinath; Shomir Wilson (COLING, 2022)

Towards a Holistic Approach: Understanding Sociodemographic Biases in NLP Models using an Interdisciplinary Lens. - Pranav Narayanan Venkit (AIES, 2023)

Unmasking Nationality Bias: A Study of Human Perception of Nationalities in AI-Generated Articles. - Pranav Narayanan Venkit; Sanjana Gautam; Ruchi Panchanadikar; Ting-Hao Kenneth Huang; Shomir Wilson (AIES, 2023)

Privacy Now or Never: Large-Scale Extraction and Analysis of Dates in Privacy Policy Text. - Mukund Srinath; Lee Matheson; Pranav Narayanan Venkit; Gabriela Zanfir-Fortuna; Florian Schaub; C. Lee Giles; Shomir Wilson (DocEng, 2023)

Privacy Lost and Found: An Investigation at Scale of Web Privacy Policy Availability. - Mukund Srinath; Soundarya Nurani Sundareswara; Pranav Venkit; C. Lee Giles; Shomir Wilson (DocEng, 2023)

Nationality Bias in Text Generation. - Pranav Narayanan Venkit; Sanjana Gautam; Ruchi Panchanadikar; Ting-Hao K. Huang; Shomir Wilson (EACL, 2023)

The Sentiment Problem: A Critical Survey towards Deconstructing Sentiment Analysis. - Pranav Venkit; Mukund Srinath; Sanjana Gautam; Saranya Venkatraman; Vipul Gupta; Rebecca J. Passonneau; Shomir Wilson (EMNLP, 2023)

Survey on Sociodemographic Bias in Natural Language Processing. - Vipul Gupta; Pranav Narayanan Venkit; Shomir Wilson; Rebecca J. Passonneau (CoRR, 2023)

Automated Ableism: An Exploration of Explicit Disability Biases in Sentiment and Toxicity Analysis Models. - Pranav Narayanan Venkit; Mukund Srinath; Shomir Wilson (CoRR, 2023)

CALM : A Multi-task Benchmark for Comprehensive Assessment of Language Model Bias. - Vipul Gupta; Pranav Narayanan Venkit; Hugo Laurençon; Shomir Wilson; Rebecca J. Passonneau (CoRR, 2023)

Automated Detection and Analysis of Data Practices Using A Real-World Corpus. - Mukund Srinath; Pranav Narayanan Venkit; Maria Badillo; Florian Schaub; C. Lee Giles; Shomir Wilson (ACL (Findings), 2024)

Do Generative AI Models Output Harm while Representing Non-Western Cultures: Evidence from A Community-Centered Approach. - Sourojit Ghosh; Pranav Narayanan Venkit; Sanjana Gautam; Shomir Wilson; Aylin Caliskan (AIES (1), 2024)

The Need For Inclusive NLP: Addressing Sociodemographic Bias and Enhancing Sociotechnical Systems through Interdisciplinary Frameworks. - Pranav Narayanan Venkit (AIES (2), 2024)

LLMs Assist NLP Researchers: Critique Paper (Meta-)Reviewing. - Jiangshu Du; Yibo Wang 001; Wenting Zhao 006; Zhongfen Deng; Shuaiqi Liu 002; Renze Lou; Henry Peng Zou; Pranav Narayanan Venkit; Nan Zhang; Mukund Srinath; Haoran Zhang 004; Vipul Gupta; et al. (EMNLP, 2024)

An Audit on the Perspectives and Challenges of Hallucinations in NLP. - Pranav Narayanan Venkit; Tatiana Chakravorti; Vipul Gupta; Heidi Biggs; Mukund Srinath; Koustava Goswami; Sarah Rajtmajer; Shomir Wilson (EMNLP, 2024)

From Melting Pots to Misrepresentations: Exploring Harms in Generative AI. - Sanjana Gautam; Pranav Narayanan Venkit; Sourojit Ghosh (CoRR, 2024)

"Confidently Nonsensical?": A Critical Survey on the Perspectives and Challenges of 'Hallucinations' in NLP. - Pranav Narayanan Venkit; Tatiana Chakravorti; Vipul Gupta; Heidi Biggs; Mukund Srinath; Koustava Goswami; Sarah Rajtmajer; Shomir Wilson (CoRR, 2024)

The Unappreciated Role of Intent in Algorithmic Moderation of Social Media Content. - Xinyu Wang; Sai Dileep Koneru; Pranav Narayanan Venkit; Brett Frischmann; Sarah Rajtmajer (CoRR, 2024)

LLMs Assist NLP Researchers: Critique Paper (Meta-)Reviewing. - Jiangshu Du; Yibo Wang 001; Wenting Zhao 006; Zhongfen Deng; Shuaiqi Liu 002; Renze Lou; Henry Peng Zou; Pranav Narayanan Venkit; Nan Zhang; Mukund Srinath; Haoran Ranran Zhang; Vipul Gupta; et al. (CoRR, 2024)

Hey GPT, Can You be More Racist? Analysis from Crowdsourced Attempts to Elicit Biased Content from Generative AI. - Hangzhi Guo; Pranav Narayanan Venkit; Eunchae Jang; Mukund Srinath; Wenbo Zhang 008; Bonam Mingole; Vipul Gupta; Kush R. Varshney; S. Shyam Sundar; Amulya Yadav (CoRR, 2024)

Search Engines in an AI Era: The False Promise of Factual and Verifiable Source-Cited Responses. - Pranav Narayanan Venkit; Philippe Laban; Yilun Zhou; Yixin Mao; Chien-Sheng Wu (CoRR, 2024)

Race and Privacy in Broadcast Police Communications. - Pranav Narayanan Venkit; Christopher Graziul; Miranda Ardith Goodman; Samantha Nicole Kenny; Shomir Wilson (Proc. ACM Hum. Comput. Interact., 2024)

Can Third Parties Read Our Emotions? - Jiayi Li; Yingfan Zhou; Pranav Narayanan Venkit; Halima Binte Islam; Sneha Arya; Shomir Wilson; Sarah Rajtmajer (ACL (1), 2025)

Search Engines in the AI Era: A Qualitative Understanding to the False Promise of Factual and Verifiable Source-Cited Responses in LLM-based Search. - Pranav Narayanan Venkit; Philippe Laban; Yilun Zhou; Yixin Mao; Chien-Sheng Wu (FAccT, 2025)

A Tale of Two Identities: An Ethical Audit of Human and AI-Crafted Personas. - Pranav Narayanan Venkit; Jiayi Li; Yingfan Zhou; Sarah Rajtmajer; Shomir Wilson (CoRR, 2025)

Social Scientists on the Role of AI in Research. - Tatiana Chakravorti; Xinyu Wang; Pranav Narayanan Venkit; Sai Dileep Koneru; Kevin Munger; Sarah Rajtmajer (CoRR, 2025)

Documenting Patterns of Exoticism of Marginalized Populations within Text-to-Image Generators. - Sourojit Ghosh; Sanjana Gautam; Pranav Venkit; Avijit Ghosh (CoRR, 2025)