179 citations · 292 across the 14 of their papers we have counts for
15 papers
Adverse weather amplifies social media activity
Kelton Minor, Esteban Moro, Nick Obradovich
Humanity spends an increasing proportion of its time interacting online. Scholars are intensively investigating the societal drivers and resultant impacts of this collective shift…
Evidence of behavior consistent with self-interest and altruism in an artificially intelligent agent
Tim Johnson, Nick Obradovich
Members of various species engage in altruism--i.e. accepting personal costs to benefit others. Here we present an incentivized experiment to test for altruistic behavior among AI…
Measuring an artificial intelligence agent's trust in humans using machine incentives
Tim Johnson, Nick Obradovich
Scientists and philosophers have debated whether humans can trust advanced artificial intelligence (AI) agents to respect humanity's best interests. Yet what about the reverse? Wil…
The Network Limits of Infectious Disease Control via Occupation-Based Targeting
Demetris Avraam, Nick Obradovich, Niccoló Pescetelli +2
Policymakers commonly employ non-pharmaceutical interventions to manage the scale and severity of pandemics. Of non-pharmaceutical interventions, social distancing policies -- desi…
Ambient heat and human sleep
Kelton Minor, Andreas Bjerre-Nielsen, Sigga Svala Jonasdottir +2
Ambient temperatures are rising globally, with the greatest increases recorded at night. Concurrently, the prevalence of insufficient sleep is increasing in many populations, with…
The effect of stay-at-home orders on COVID-19 cases and fatalities in the United States
James H. Fowler, Seth J. Hill, Remy Levin +1
Governments issue "stay at home" orders to reduce the spread of contagious diseases, but the magnitude of such orders' effectiveness is uncertain. In the United States these orders…
SensitiveLoss: Improving Accuracy and Fairness of Face Representations with Discrimination-Aware Deep Learning
Ignacio Serna, Aythami Morales, Julian Fierrez +3
We propose a discrimination-aware learning method to improve both accuracy and fairness of biased face recognition algorithms. The most popular face recognition benchmarks assume a…
Algorithmic Discrimination: Formulation and Exploration in Deep Learning-based Face Biometrics
Ignacio Serna, Aythami Morales, Julian Fierrez +3
The most popular face recognition benchmarks assume a distribution of subjects without much attention to their demographic attributes. In this work, we perform a comprehensive disc…
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…
Evaluating Style Transfer for Text
Remi Mir, Bjarke Felbo, Nick Obradovich +1
Research in the area of style transfer for text is currently bottlenecked by a lack of standard evaluation practices. This paper aims to alleviate this issue by experimentally iden…
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…
Social Media Data Analysis and Feedback for Advanced Disaster Risk Management
Markus Enenkel, Sofia Martinez Saenz, Denyse S. Dookie +3
Social media are more than just a one-way communication channel. Data can be collected, analyzed and contextualized to support disaster risk management. However, disaster managemen…
Weather impacts expressed sentiment
Patrick Baylis, Nick Obradovich, Yury Kryvasheyeu +5
We conduct the largest ever investigation into the relationship between meteorological conditions and the sentiment of human expressions. To do this, we employ over three and a hal…
Nowcasting Disaster Damage
Yury Kryvasheyeu, Haohui Chen, Nick Obradovich +4
Could social media data aid in disaster response and damage assessment? Countries face both an increasing frequency and intensity of natural disasters due to climate change. And du…