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Christopher Whyte
Researcher at Virginia Commonwealth University
Publications - 24
Citations - 191
Christopher Whyte is an academic researcher from Virginia Commonwealth University. The author has contributed to research in topics: Cyberspace & Information warfare. The author has an hindex of 7, co-authored 19 publications receiving 113 citations. Previous affiliations of Christopher Whyte include George Mason University.
Papers
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Journal ArticleDOI
Algorithms at War: The Promise, Peril, and Limits of Artificial Intelligence
TL;DR: It is argued that, though rapid adoption of AI technologies stands to transform states’ ways of war on a number of fronts, an AI revolution brings with it new forms of risk that must be reconciled with the widespread integration of algorithmic systems across military functions.
Dissertation
Out of the Shadows: Subversion and Counterculture in the Digital Age
TL;DR: In this paper, the authors studied the patterns and determinants of ICT usage amongst subversive groups in world politics. And they found that the agents of antagonism are most often found among peripheral elements of subversive movements, such as hackers, script kiddies and hostile activists.
Journal ArticleDOI
Crossing the Digital Divide: Monism, Dualism and the Reason Collective Action is Critical for Cyber Theory Production
TL;DR: In this article, the authors describe the unique, dual methodological challenges inherent in the multifaceted program on global cyber-security and ask how problematic they are for scholarly efforts to construct knowledge about digital dynamics in world affairs.
Journal ArticleDOI
Breaking the Myth of Cyber Doom: Securitization and Normalization of Novel Threats
TL;DR: Evidence is presented suggesting that the unique characteristics of a development (i.e., web-technology proliferation) matter in opinion formation, as sensitivity to digital threats to the polity is grounded on personal threat sensitivity.
Journal ArticleDOI
Deepfake news: AI-enabled disinformation as a multi-level public policy challenge
TL;DR: The advent of "DeepFake" content that is increasingly difficult for humans and machines to distinguish as artificial portends a number of challenges to democratic societies as discussed by the authors, such as the challenge of detecting fake news.