Turning OSINV inside the machine: Open-source investigations and information disorder
Journal
Harvard Kennedy School Misinformation Review
Type
journal article
Date Issued
2026-08-12
Author(s)
Abstract
Open-source investigators and OSINV journalists have spent the last decade turning publicly available data into evidence of war crimes, environmental harms, and human rights abuses. More recently, they have trained the same lens on a different target: the algorithms, bot networks, and generative AI systems that industrialise deception and information disorder. Moving beyond debunking and verification, this reporting investigates the infrastructures that make falsehood profitable and visible, a turn four case studies here demonstrate.
Language
English
Keywords
OSINT
journalism
investigative journalism
information disorder
misinformation
disinformation
artificial intelligence
HSG Classification
contribution to education
Refereed
Yes
Publisher
Shorenstein Center for Media, Politics, and Public Policy
Subject(s)
Division(s)
File(s)![Thumbnail Image]()
open.access
Name
disalvo_open_source_investigations_20260812.pdf
Size
229.43 KB
Format
Adobe PDF
Checksum (MD5)
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