147 citations · 618 across the 18 of their papers we have counts for
19 papers
Generating Faithful Synthetic Data with Large Language Models: A Case Study in Computational Social Science
Veniamin Veselovsky, Manoel Horta Ribeiro, Akhil Arora +3
Large Language Models (LLMs) have democratized synthetic data generation, which in turn has the potential to simplify and broaden a wide gamut of NLP tasks. Here, we tackle a perva…
Reddit in the Time of COVID
Veniamin Veselovsky, Ashton Anderson
When the COVID-19 pandemic hit, much of life moved online. Platforms of all types reported surges of activity, and people remarked on the various important functions that online pl…
Anticipated versus Actual Effects of Platform Design Change: A Case Study of Twitter's Character Limit
Kristina Gligorić, Justyna Częstochowska, Ashton Anderson +1
The design of online platforms is both critically important and challenging, as any changes may lead to unintended consequences, and it can be hard to predict how users will react.…
Mimetic Models: Ethical Implications of AI that Acts Like You
Reid McIlroy-Young, Jon Kleinberg, Siddhartha Sen +2
An emerging theme in artificial intelligence research is the creation of models to simulate the decisions and behavior of specific people, in domains including game-playing, text g…
Quantifying social organization and political polarization in online platforms
Isaac Waller, Ashton Anderson
Optimism about the Internet's potential to bring the world together has been tempered by concerns about its role in inflaming the 'culture wars'. Via mass selection into like-minde…
Adoption of Twitter's New Length Limit: Is 280 the New 140?
Kristina Gligorić, Ashton Anderson, Robert West
In November 2017, Twitter doubled the maximum allowed tweet length from 140 to 280 characters, a drastic switch on one of the world's most influential social media platforms. In th…
Learning Models of Individual Behavior in Chess
Reid McIlroy-Young, Russell Wang, Siddhartha Sen +2
AI systems that can capture human-like behavior are becoming increasingly useful in situations where humans may want to learn from these systems, collaborate with them, or engage w…
Aligning Superhuman AI with Human Behavior: Chess as a Model System
Reid McIlroy-Young, Siddhartha Sen, Jon Kleinberg +1
As artificial intelligence becomes increasingly intelligent---in some cases, achieving superhuman performance---there is growing potential for humans to learn from and collaborate…
De-anonymization of authors through arXiv submissions during double-blind review
Homanga Bharadhwaj, Dylan Turpin, Animesh Garg +1
In this paper, we investigate the effects of releasing arXiv preprints of papers that are undergoing a double-blind review process. In particular, we ask the following research que…
From Welcome New Gabbers to the Pittsburgh Synagogue Shooting: The Evolution of Gab
Reid McIlroy-Young, Ashton Anderson
Gab, an online social media platform with very little content moderation, has recently come to prominence as an alt-right community and a haven for hate speech. We document the evo…
Causal Effects of Brevity on Style and Success in Social Media
Kristina Gligoric, Ashton Anderson, Robert West
In online communities, where billions of people strive to propagate their messages, understanding how wording affects success is of primary importance. In this work, we are interes…
Thanks for Stopping By: A Study of "Thanks" Usage on Wikimedia
Swati Goel, Ashton Anderson, Leila Zia
The Thanks feature on Wikipedia, also known as "Thanks", is a tool with which editors can quickly and easily send one other positive feedback. The aim of this project is to better…
Understanding the Origins of Bias in Word Embeddings
Marc-Etienne Brunet, Colleen Alkalay-Houlihan, Ashton Anderson +1
The power of machine learning systems not only promises great technical progress, but risks societal harm. As a recent example, researchers have shown that popular word embedding a…
How Constraints Affect Content: The Case of Twitter's Switch from 140 to 280 Characters
Kristina Gligorić, Ashton Anderson, Robert West
It is often said that constraints affect creative production, both in terms of form and quality. Online social media platforms frequently impose constraints on the content that use…
Mapping the Invocation Structure of Online Political Interaction
Manish Raghavan, Ashton Anderson, Jon Kleinberg
The surge in political information, discourse, and interaction has been one of the most important developments in social media over the past several years. There is rich structure…
Auditing Search Engines for Differential Satisfaction Across Demographics
Rishabh Mehrotra, Ashton Anderson, Fernando Diaz +3
Many online services, such as search engines, social media platforms, and digital marketplaces, are advertised as being available to any user, regardless of their age, gender, or o…
Assessing Human Error Against a Benchmark of Perfection
Ashton Anderson, Jon Kleinberg, Sendhil Mullainathan
An increasing number of domains are providing us with detailed trace data on human decisions in settings where we can evaluate the quality of these decisions via an algorithm. Moti…
Exploring limits to prediction in complex social systems
Travis Martin, Jake M. Hofman, Amit Sharma +2
How predictable is success in complex social systems? In spite of a recent profusion of prediction studies that exploit online social and information network data, this question re…
Engaging with Massive Online Courses
Ashton Anderson, Daniel Huttenlocher, Jon Kleinberg +1
The Web has enabled one of the most visible recent developments in education---the deployment of massive open online courses. With their global reach and often staggering enrollmen…