Ryan Glassman

ORCID: 0000-0003-0360-1314
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About
Contact & Profiles
Research Areas
  • Functional Brain Connectivity Studies
  • Cell Image Analysis Techniques
  • Opinion Dynamics and Social Influence
  • Media Influence and Politics
  • Misinformation and Its Impacts
  • Neural dynamics and brain function

Columbia University
2020-2022

Abstract During the 2020 US presidential election, conspiracy theories about large-scale voter fraud were widely circulated on social media platforms. Given their scale, persistence, and impact, it is critically important to understand mechanisms that caused these spread. The aim of this preregistered study was investigate whether retweet frequencies among proponents Twitter during election are consistent with frequency bias and/or content bias. To do this, we conducted generative inference...

10.1057/s41599-023-02106-x article EN cc-by Humanities and Social Sciences Communications 2023-09-14

Abstract A major goal of computational neuroscience is the development powerful data analyses that operate on large datasets. These form an essential toolset to derive scientific insights from new experiments. Unfortunately, a obstacle currently impedes progress: novel have hidden dependence upon complex computing infrastructure (e.g. software dependencies, hardware), acting as unaddressed deterrent potential analysis users. While existing are increasingly shared open source software, needed...

10.1101/2020.06.11.146746 preprint EN cc-by-nc bioRxiv (Cold Spring Harbor Laboratory) 2020-06-12

During the 2020 US presidential election, conspiracy theories about large-scale voter fraud were widely circulated on social media platforms. Given their scale, persistence, and impact, it is critically important to understand mechanisms that caused these spread. The aim of this study was investigate whether retweet frequencies among proponents Twitter during election are consistent with frequency bias and/or content bias. To do this, we conducted generative inference using an agent-based...

10.31234/osf.io/2jksg preprint EN 2021-10-26

A major goal of neuroscience is the development powerful data analyses that process large datasets. Unfortunately, modern have a hidden dependence upon complex computing infrastructure (e.g. software dependencies, hardware), acts as an unaddressed deterrent to analysis users. While existing are increasingly shared open source software, and knowledge needed deploy these efficiently still only accessible minority experts. In this work we develop Neuroscience Cloud Analysis As Service...

10.2139/ssrn.3877562 article EN SSRN Electronic Journal 2021-01-01
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