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Shomir Wilson

9 accepted papers

2026

A Tale of Two Identities: An Ethical Audit of AI-Crafted Synthetic Personas

AAAI 2026technical

As LLMs (large language models) are increasingly used to generate synthetic personas, particularly in data-limited domains such as health, privacy, and HCI, it becomes necessary to understand how these narratives represent identity, especially that of minority communities. In this paper, we audit sy

Cited by 0SourcePDFScholar
2025

Can Third Parties Read Our Emotions?

ACL 2025long

Natural Language Processing tasks that aim to infer an author’s private states, e.g., emotions and opinions, from their written text, typically rely on datasets annotated by third-party annotators. However, the assumption that third-party annotators can accurately capture authors’ private states rem…

Cited by 0SourcePDFScholar
2024

An Audit on the Perspectives and Challenges of Hallucinations in NLP

EMNLP 2024main

We audit how hallucination in large language models (LLMs) is characterized in peer-reviewed literature, using a critical examination of 103 publications across NLP research. Through the examination of the literature, we identify a lack of agreement with the term ‘hallucination’ in the field of NLP.…

2024

Automated Detection and Analysis of Data Practices Using A Real-World Corpus

ACL 2024findings

Privacy policies are crucial for informing users about data practices, yet their length and complexity often deter users from reading them. In this paper, we propose an automated approach to identify and visualize data practices within privacy policies at different levels of detail. Leveraging crowd…

2024

Creation and Analysis of an International Corpus of Privacy Laws

COLING 2024main

The landscape of privacy laws and regulations around the world is complex and ever-changing. National and super-national laws, agreements, decrees, and other government-issued rules form a patchwork that companies must follow to operate internationally. To examine the status and evolution of this pa…

Cited by 10SourcePDFScholar
2023

The Sentiment Problem: A Critical Survey towards Deconstructing Sentiment Analysis

EMNLP 2023long main

We conduct an inquiry into the sociotechnical aspects of sentiment analysis (SA) by critically examining 189 peer-reviewed papers on their applications, models, and datasets. Our investigation stems from the recognition that SA has become an integral component of diverse sociotechnical systems, exer…

Cited by 0SourceScholar
2022

A Study of Implicit Bias in Pretrained Language Models against People with Disabilities

COLING 2022main

Pretrained language models (PLMs) have been shown to exhibit sociodemographic biases, such as against gender and race, raising concerns of downstream biases in language technologies. However, PLMs’ biases against people with disabilities (PWDs) have received little attention, in spite of their poten…

Cited by 68SourcePDFScholar
2021

Breaking Down Walls of Text: How Can NLP Benefit Consumer Privacy?

ACL 2021long

Privacy plays a crucial role in preserving democratic ideals and personal autonomy. The dominant legal approach to privacy in many jurisdictions is the “Notice and Choice” paradigm, where privacy policies are the primary instrument used to convey information to users. However, privacy policies are l…

Cited by 34SourcePDFScholar
2021

Privacy at Scale: Introducing the PrivaSeer Corpus of Web Privacy Policies

ACL 2021long

Organisations disclose their privacy practices by posting privacy policies on their websites. Even though internet users often care about their digital privacy, they usually do not read privacy policies, since understanding them requires a significant investment of time and effort. Natural language…

Cited by 64SourcePDFScholar