732 citations · 1.1k across the 14 of their papers we have counts for
17 papers
Social.Wiki: A Web Held in Common
Theia Henderson, Carmel Schare, Ana Dodik +4
Many of the websites people depend on have owners whose interests are not fully aligned with their users. We address the root of this problem by presenting a reimagining of the web…
Deceptive AI systems that give explanations are more convincing than honest AI systems and can amplify belief in misinformation
Valdemar Danry, Pat Pataranutaporn, Matthew Groh +2
Advanced Artificial Intelligence (AI) systems, specifically large language models (LLMs), have the capability to generate not just misinformation, but also deceptive explanations t…
Art and the science of generative AI: A deeper dive
Ziv Epstein, Aaron Hertzmann, Laura Herman +11
A new class of tools, colloquially called generative AI, can produce high-quality artistic media for visual arts, concept art, music, fiction, literature, video, and animation. The…
Trash to Treasure: Using text-to-image models to inform the design of physical artefacts
Amy Smith, Hope Schroeder, Ziv Epstein +3
Text-to-image generative models have recently exploded in popularity and accessibility. Yet so far, use of these models in creative tasks that bridge the 2D digital world and the c…
Deceptive AI Systems That Give Explanations Are Just as Convincing as Honest AI Systems in Human-Machine Decision Making
Valdemar Danry, Pat Pataranutaporn, Ziv Epstein +2
The ability to discern between true and false information is essential to making sound decisions. However, with the recent increase in AI-based disinformation campaigns, it has bec…
Quantifying attention via dwell time and engagement in a social media browsing environment
Ziv Epstein, Hause Lin, Gordon Pennycook +1
Modern computational systems have an unprecedented ability to detect, leverage and influence human attention. Prior work identified user engagement and dwell time as two key metric…
How many others have shared this? Experimentally investigating the effects of social cues on engagement, misinformation, and unpredictability on social media
Ziv Epstein, Hause Lin, Gordon Pennycook +1
Unlike traditional media, social media typically provides quantified metrics of how many users have engaged with each piece of content. Some have argued that the presence of these…
Yourfeed: Towards open science and interoperable systems for social media
Ziv Epstein, Hause Lin
Existing social media platforms (SMPs) make it incredibly difficult for researchers to conduct studies on social media, which in turn has created a knowledge gap between academia a…
When happy accidents spark creativity: Bringing collaborative speculation to life with generative AI
Ziv Epstein, Hope Schroeder, Dava Newman
Generative AI techniques like those that synthesize images from text (text-to-image models) offer new possibilities for creatively imagining new ideas. We investigate the capabilit…
Co-creation and ownership for AI radio
Skylar Gordon, Robert Mahari, Manaswi Mishra +1
Recent breakthroughs in AI-generated music open the door for new forms for co-creation and co-creativity. We present Artificialfm, a proof-of-concept casual creator that blend…
Do explanations increase the effectiveness of AI-crowd generated fake news warnings?
Ziv Epstein, Nicolò Foppiani, Sophie Hilgard +3
Social media platforms are increasingly deploying complex interventions to help users detect false news. Labeling false news using techniques that combine crowd-sourcing with artif…
Social influence leads to the formation of diverse local trends
Ziv Epstein, Matthew Groh, Abhimanyu Dubey +1
How does the visual design of digital platforms impact user behavior and the resulting environment? A body of work suggests that introducing social signals to content can increase…
Deepfake Detection by Human Crowds, Machines, and Machine-informed Crowds
Matthew Groh, Ziv Epstein, Chaz Firestone +1
The recent emergence of machine-manipulated media raises an important societal question: how can we know if a video that we watch is real or fake? In two online studies with 15,016…
Interpolating GANs to Scaffold Autotelic Creativity
Ziv Epstein, Océane Boulais, Skylar Gordon +1
The latent space modeled by generative adversarial networks (GANs) represents a large possibility space. By interpolating categories generated by GANs, it is possible to create nov…
Human detection of machine manipulated media
Matthew Groh, Ziv Epstein, Nick Obradovich +2
Recent advances in neural networks for content generation enable artificial intelligence (AI) models to generate high-quality media manipulations. Here we report on a randomized ex…
Towards a new social laboratory: An experimental study of search through community participation at Burning Man
Ziv Epstein, Micah Epstein, Christian Almenar +6
The "small world phenomenon," popularized by Stanley Milgram, suggests that individuals from across a social network are connected via a short path of mutual friends and can levera…
Closing the AI Knowledge Gap
Ziv Epstein, Blakeley H. Payne, Judy Hanwen Shen +6
AI researchers employ not only the scientific method, but also methodology from mathematics and engineering. However, the use of the scientific method - specifically hypothesis tes…