Peer Reviewed Conference and Journal Papers
Venkit, P., Srinath, M., Gautam, S., Venkataraman. S., Gupta, M., Passonneau, B., Wilson, S. (2023). The Sentiment Problem: A Critical Survey towards Deconstructing Sentiment Analysis
[Outstanding Paper Award]
2023 Conference on Empirical Methods in Natural Language Processing (EMNLP) 2023
Venkit, P., Gautam, S., Panchanadikar, R., Huang, K., Wilson, S. (2023). Unmasking Nationality Bias: A Study of Human Perception of Nationalities in AI-Generated Articles
6th AAAI/ACM Conference on Artificial Intelligence, Ethics and Society (AIES) 2023
Venkit, P., Srinath, M., Wilson, S. (2023). Automated Ableism: An Exploration of Explicit Disability Biases in Sentiment and Toxicity Analysis Models
[Best Paper Award]
TrustNLP 2023, at ACL 2023
Srinath, M., Sundareswara, S., Venkit, P., Giles, C., Wilson, S. (2023). Privacy Lost and Found: An Investigation at Scale of Web Privacy Policy Availability
[Best Paper Award]
ACM Conference on Document Engineering (DocEng) 2023
Srinath, M., Matheson, L., Venkit, P., Zanfir-Fortuna, G., Schaub, F., Giles, L., Wilson, S. (2023). Privacy Now or Never: Large-Scale Extraction and Analysis of Dates in Privacy Policy Text
ACM Conference on Document Engineering (DocEng) 2023
Venkit, P. (2023). Towards a Holistic Approach: Understanding Sociodemographic Biases in NLP Models using an Interdisciplinary Lens
6th AAAI/ACM Conference on Artificial Intelligence, Ethics and Society (AIES) 2023Venkit, P., Gautam, S., Panchanadikar, R., Huang, K., Wilson, S. (2023). Nationality Bias in Text Generation
17th Conference of the European Chapter of ACL (EACL) 2023
Venkit, P., Wilson, S. (2022). A Study of Implicit Language Model Bias Against People with Disabilities
International Conference on Computational Linguistics (COLING) 2022
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Peer Reviewed Symposiums Papers
Venkit, P., Graziul, C., Goodman, M., Kenny, S., Wilson, S. (2022). An Exploratory Analysis of Broadcast Police Communications in Chicago.
Social Thought Symposium- ST ’22
Venkit, P., Dudas, P. (2021). A Jupyter Book Approach to Latent Dirichlet Allocation Understanding.
VIS 2021, VISXAI Workshop
Venkit, P., Chou, H., Tyagi, H., Dudas, P. (2021).Project iOn: Utilization of Computational Notebooks for Education.
TLT 2021 Symposium
Venkit, P., Dudas, P., Billah, S. (2020). Wayfinding and Navigation in Virtual Environment: Learning from Audio Games.
Think Within 2020 Symposium - TW '20
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Archive Papers
Gupta, V., Venkit, P., Wilson, S., Passonneau, R. (2023). CALM : A Multi-task Benchmark for Comprehensive Assessment of Language Model Bias
arxiv Pre-Print 2023
Gupta, V., Venkit, P., Wilson, S., Passonneau, R. (2023). Survey on Sociodemographic Bias in Natural Language Processing.
arxiv Pre-Print 2023
Venkit, P., Karishma, Z., Hsu, C., Katiki, R., Huang,K., Wilson, S., Dudas, P. (2021). A ‘Sourceful’ Twist: Emoji Prediction Based on Sentiment, Hashtags and Source.
arxiv Pre-print 2021____
Awards and Recognition
Outstanding Paper Award (2023): The Sentiment Problem: A Critical Survey towards Deconstructing Sentiment Analysis
Conference on Empirical Methods in Natural Language Processing, 2023
Best Paper Award (2023): Privacy Lost and Found: An Investigation at Scale of Web Privacy Policy Availability
ACM Conference on Document Engineering 2023, 28 August, 2023
Best Paper Award (2023): Automated Ableism: An Exploration of Explicit Disability Biases in Sentiment and Toxicity Analysis Models
TrustNLP 2023 (an ACL 2023 Workshop), 9 July, 2023
Research Showcase (2023): Nominated to present my research at the IST department Research Showcase
Pennsylvania State University IST Research Showcase, 27 Feb, 2023
Hackathon Award (2023): ChronoNews.aiNittany Ai Challenge Semi-Finalist, 15 Mar. 2023
Hackathon Award (2020): BeyondTweetsHackPSU Second Place & The Best SaaS Application award
Hackathon Award (2019): Health Protocol System
First Place at the Honeywell Innovation Hackathon
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News and Media Mentions
News Mention (2024): Fast Company. "How can we make AI less biased against disabled people",
Fast Company Tech, 11 March, 2024
News Mention (2023): Mary Fetzer. "Trained AI models exhibit learned disability bias, IST researchers say.",
Pennsylvania State University News, 30 November, 2023
News Mention (2023): Lucy Smith. "A Critical Survey Towards Deconstructing Sentiment Analysis: Interview with Pranav Venkit and Mukund Srinath.",
AIHub News, 2 November, 2023
News Mention (2023): Mary Fetzer. "Most websites do not publish privacy policies, researchers say.",
Pennsylvania State University News, 25 October, 2023
News Mention (2023): Francisco Tutella. "Positive triggering method reduces nationality bias in large text generators.",
Pennsylvania State University News, 26 April, 2023
Media Mention (2023): Dr. Roman Klinger. "Reports and Insights of EACL 2023.",
Dr. Roman Klinger Blog, 2023
News Mention (2022): Hallman, Jessica. "AI language models show bias against people with disabilities, study finds.”,
Pennsylvania State University News, 14 Oct, 2022
News Mention (2022): Melillo, Gianna. "Common AI language models show bias against people with disabilities”,
The Hill, 14 Oct, 2022
News Mention (2021): Wiggers, Kyle. “How Bias Creeps into the AI Designed to Detect Toxicity.”, VentureBeat, 9 Dec. 2021
News Mention (2021): Hallman, Jessica. "Study of police language aims to find patterns that may lead to tragic outcomes.”,
Pennsylvania State University News, 25 May, 2023____
