732 citations · 1.1k across the 14 of their papers we have counts for
6 papers · 1 filter
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…