4 citations · 5 across the 6 of their papers we have counts for
8 papers
Navigating the Changing Landscape of Online Knowledge Consumption and Production in the Age of Generative AI: Evidence from Stack Overflow
Ji Eun Kim, Léa Vitale, Libby Hemphill +1
Online knowledge communities rely on a division of epistemic labor between users who seek information and those who produce it. Generative AI may blur these roles, but how it reall…
Dataset repurposing and disruptive AI research
Yulin Yu, Yong-Yeol Ahn, Daniel M. Romero
Technological advancements are enabling increasingly systematic and large-scale data collection across all areas of science, driving scientific innovation. In particular, AI resear…
Adoption of Generative AI in the Workplace: Increasing and Shifting the Balance of Productivity and Communication Activity
Yulin Yu, Yan Chen, Rui Hu +2
Generative AI is transforming the workplace by augmenting and automating cognitive tasks, reshaping how organizations work and innovate while raising questions about workplace ineq…
From Searchable to Non-Searchable: Generative AI and Information Diversity in Online Information Seeking
Yulin Yu, Yizhou Li, Siddharth Suri +3
Conversational generative AI systems such as ChatGPT are transforming how people seek and engage with information online. Unlike traditional search engines, these systems support o…
Signals in the Noise: Decoding Unexpected Engagement Patterns on Twitter
Yulin Yu, Houming Chen, Daniel Romero +1
Social media platforms offer users multiple ways to engage with content--likes, retweets, and comments--creating a complex signaling system within the attention economy. While prev…
The Persistence of Retracted Papers on Wikipedia
Haohan Shi, Yulin Yu, Daniel M. Romero +1
Wikipedia serves as a key infrastructure for public access to scientific knowledge, but it faces challenges in maintaining the credibility of cited sources--especially when scienti…
Exit Ripple Effects: Understanding the Disruption of Socialization Networks Following Employee Departures
David Gamba, Yulin Yu, Yuan Yuan +2
Amidst growing uncertainty and frequent restructurings, the impacts of employee exits are becoming one of the central concerns for organizations. Using rich communication data from…
Does the Use of Unusual Combinations of Datasets Contribute to Greater Scientific Impact?
Yulin Yu, Daniel M. Romero
Scientific datasets play a crucial role in contemporary data-driven research, as they allow for the progress of science by facilitating the discovery of new patterns and phenomena.…