1 citations · 3 across the 7 of their papers we have counts for
8 papers
When the Commons Appropriates a Large Language Model: How WikiVault Reshaped Korean Wikipedia
Inhwa Song, Sohyeon Hwang, Ted Yoo +1
Large Language Models (LLMs) have disrupted the balance between content production and quality assurance that sustains knowledge commons, leading many to prohibit or restrict their…
AI Adoption Across a Multinational Workforce: Sociotechnical Conditions for GenAI Acceptance in Human Resources
Dalia Ali, Maria José Rodríguez Velázquez, Manoel Horta Ribeiro +2
Generative AI (GenAI) deployment in the workplace is accelerating rapidly. Nevertheless, questions of who adopts, who benefits, and who is left behind and why are still understudie…
AI Assistance for Discretionary Work: Increasing Feedback Provision in Higher Education
Romina Mahinpei, Victoria Dean, Ruth Fong +2
AI assistance can increase the efficiency and accuracy of human work, but can it also encourage people to undertake valuable tasks they might otherwise skip? Here, we investigate w…
When LLMs Help -- and Hurt -- Teaching Assistants in Proof-Based Courses
Romina Mahinpei, Sofiia Druchyna, Manoel Horta Ribeiro
Teaching assistants (TAs) are essential to grading and feedback provision in proof-based courses, yet these tasks are time-intensive and difficult to scale. Although Large Language…
Hiding Liker Identity Did Not Increase Engagement With Reputationally Risky Content on X (Formerly Twitter)
Yuwei Chuai, Manoel Horta Ribeiro, Gabriele Lenzini +1
In June 2024, X (formerly Twitter) made likes from public to private, offering a rare, platform-level opportunity to study how the visibility of engagement signals affects users' b…
Accumulating Context Changes the Beliefs of Language Models
Jiayi Geng, Howard Chen, Ryan Liu +4
Language model (LM) assistants are increasingly used in applications such as brainstorming and research. Improvements in memory and context size have allowed these models to become…
Understanding Community-Level Blocklists in Decentralized Social Media
Owen Xingjian Zhang, Sohyeon Hwang, Yuhan Liu +2
Community-level blocklists are key to content moderation practices in decentralized social media. These blocklists enable moderators to prevent other communities, such as those act…
When Incentives Backfire, Data Stops Being Human
Sebastin Santy, Prasanta Bhattacharya, Manoel Horta Ribeiro +2
Progress in AI has relied on human-generated data, from annotator marketplaces to the wider Internet. However, the widespread use of large language models now threatens the quality…