activity
20122025
most citedPredicting the behavior of interacting humans by fusing data from multiple sources

2 citations · 5 across the 7 of their papers we have counts for

collaborators

7 papers

cs.CL2025

Analyzing the temporal dynamics of linguistic features contained in misinformation

Erik J Schlicht

Consumption of misinformation can lead to negative consequences that impact the individual and society. To help mitigate the influence of misinformation on human beliefs, algorithm…

cs.SI2024

Characteristics of Political Misinformation Over the Past Decade

Erik J Schlicht

Although misinformation tends to spread online, it can have serious real-world consequences. In order to develop automated tools to detect and mitigate the impact of misinformation…

cs.AI2024★ 1 cited

Evaluating the Propensity of Generative AI for Producing Harmful Disinformation During the 2024 US Election Cycle

Erik J Schlicht

Generative Artificial Intelligence offers a powerful tool for adversaries who wish to engage in influence operations, such as the Chinese Spamouflage operation and the Russian Inte…

stat.AP2017★ 1 cited

Exploiting oddsmaker bias to improve the prediction of NFL outcomes

Erik J. Schlicht

Accurately predicting the outcome of sporting events has been a goal for many groups who seek to maximize profit. What makes this challenging is that the outcome of an event can be…

stat.AP2017

Estimating the risk associated with transportation technology using multifidelity simulation

Erik J. Schlicht, Nichole L. Morris

This paper provides a quantitative method for estimating the risk associated with candidate transportation technology, before it is developed and deployed. The proposed solution ex…

cs.AI2014★ 1 cited

Predicting the behavior of interacting humans by fusing data from multiple sources

Erik J. Schlicht, Ritchie Lee, David H. Wolpert +2

Multi-fidelity methods combine inexpensive low-fidelity simulations with costly but highfidelity simulations to produce an accurate model of a system of interest at minimal cost. T…

cs.AI2012★ 2 cited

Predicting the behavior of interacting humans by fusing data from multiple sources

Erik J. Schlicht, Ritchie Lee, David H. Wolpert +2

Multi-fidelity methods combine inexpensive low-fidelity simulations with costly but high-fidelity simulations to produce an accurate model of a system of interest at minimal cost.…