15 citations · 25 across the 8 of their papers we have counts for
9 papers
Epistemic diversity across language models mitigates knowledge collapse
Damian Hodel, Jevin D. West
Artificial intelligence (AI) increasingly generates the very content used to train future AI systems. This feedback loop can degrade model quality, reduce informational diversity,…
The Role of Follow Networks and Twitter's Content Recommender on Partisan Skew and Rumor Exposure during the 2022 U.S. Midterm Election
Kayla Duskin, Joseph S. Schafer, Alexandros Efstratiou +2
Social media platforms shape users' experiences through the algorithmic systems they deploy. In this study, we examine to what extent Twitter's content recommender, in conjunction…
From job titles to jawlines: Using context voids to study generative AI systems
Shahan Ali Memon, Soham De, Sungha Kang +5
In this paper, we introduce a speculative design methodology for studying the behavior of generative AI systems, framing design as a mode of inquiry. We propose bridging seemingly…
An Empirical Study on Zero-Data Bootstrapping for Conversational Recommender Systems
Rohan Surana, Junda Wu, Zhouhang Xie +3
Conversational Recommender Systems (CRS) typically require domain-specific dialogue data, which is costly, scarce, and often unavailable in new domains. We conduct a systematic emp…
Deep Graph Learning will stall without Network Science
Christopher Blöcker, Martin Rosvall, Ingo Scholtes +1
Deep graph learning focuses on flexible and generalizable models that learn patterns in an automated fashion. Network science focuses on models and measures revealing the organizat…
Echo Chambers in the Age of Algorithms: An Audit of Twitter's Friend Recommender System
Kayla Duskin, Joseph S. Schafer, Jevin D. West +1
The presence of political misinformation and ideological echo chambers on social media platforms is concerning given the important role that these sites play in the public's exposu…
RIP Twitter API: A eulogy to its vast research contributions
Ryan Murtfeldt, Sejin Paik, Naomi Alterman +2
Since 2006, Twitter's APIs have been rich sources of data for researchers studying social phenomena such as misinformation, public communication, crisis response, and political beh…
Search Engines Post-ChatGPT: How Generative Artificial Intelligence Could Make Search Less Reliable
Shahan Ali Memon, Jevin D. West
In this commentary, we discuss the evolving nature of search engines, as they begin to generate, index, and distribute content created by generative artificial intelligence (GenAI)…
How should the advent of large language models affect the practice of science?
Marcel Binz, Stephan Alaniz, Adina Roskies +15
Large language models (LLMs) are being increasingly incorporated into scientific workflows. However, we have yet to fully grasp the implications of this integration. How should the…