75 citations · 175 across the 14 of their papers we have counts for
10 papers · 1 filter
Examining Human-AI Collaboration for Co-Writing Constructive Comments Online
Farhana Shahid, Maximilian Dittgen, Mor Naaman +1
This paper examines if large language models (LLMs) can help people write constructive comments on divisive social issues due to the difficulty of expressing constructive disagreem…
Generative AI and Perceptual Harms: Who's Suspected of using LLMs?
Kowe Kadoma, Danaé Metaxa, Mor Naaman
Large language models (LLMs) are increasingly integrated into a variety of writing tasks. While these tools can help people by generating ideas or producing higher quality work, li…
AI Suggestions Homogenize Writing Toward Western Styles and Diminish Cultural Nuances
Dhruv Agarwal, Mor Naaman, Aditya Vashistha
Large language models (LLMs) are being increasingly integrated into everyday products and services, such as coding tools and writing assistants. As these embedded AI applications a…
Trustworthiness Evaluations of Search Results: The Impact of Rank and Misinformation
Sterling Williams-Ceci, Michael Macy, Mor Naaman
Users rely on search engines for information in critical contexts, such as public health emergencies. Understanding how users evaluate the trustworthiness of search results is ther…
The Role of Inclusion, Control, and Ownership in Workplace AI-Mediated Communication
Kowe Kadoma, Marianne Aubin Le Quere, Jenny Fu +3
Given large language models' (LLMs) increasing integration into workplace software, it is important to examine how biases in the models may impact workers. For example, stylistic b…
Co-Writing with Opinionated Language Models Affects Users' Views
Maurice Jakesch, Advait Bhat, Daniel Buschek +2
If large language models like GPT-3 preferably produce a particular point of view, they may influence people's opinions on an unknown scale. This study investigates whether a langu…