2/12/2026
Reflection on Intentionality and Biases
Importance of being intentional, respected, aware of biases, and culturally competent.
Weight of accuracy in journalism as a paramount value.
Reminder to apply concepts learned in fault lines modules to journalistic exercises.
Open Source Investigations and Intelligence
Introduction to open source investigations and open source intelligence (OSINT).
Definition of Open Source Information (OSI):
Any information publicly available through request, purchase, or search.
Examples include online resources and documents obtained through records requests.
Acquisition of information on opposition figures in Russia as a credible use of open sources in investigations.
Types of evidence:
Digital and physical evidence.
Examples discussed related to identifying missiles and evidence from war zones.
Characteristics of Open Source Investigations
OSINT (Open Source Intelligence) defined:
Derived from publicly available mainstream sources.
Accessible without secret documentation or special clearance.
Emphasis on the need for journalists to:
Stay updated on new tools for investigation.
Develop problem-solving skills and organization.
Properly name and organize files, especially for multimedia production.
Acronyms Explained
Introduction of various acronyms associated with intelligence:
OSINT - Open Source Intelligence (specific to human and digital intelligence).
HUMINT - Human Intelligence.
SIGINT - Signals Intelligence.
IMINT - Imagery Intelligence from images.
SOINT - Social Media Intelligence.
OSI - Online Only Sources of Intelligence and Open Source Information.
Historical Context of Open Source Intelligence
Emergence with the rise of social media and digital connectivity.
Example: WikiLeaks and its significant document dumps exposing government actions and corruption.
Allowance for journalists to connect multiple pieces of evidence.
Discussion on Epstein files and ongoing investigations demonstrating the expansive potential of open source investigations.
Use Cases and Best Practices for Open Source Investigations
The role of organizations like Bellingcat in open source journalism.
Assignments in class to read and analyze Bellingcat's work.
Ethical considerations in open source intelligence applications.
Development of judgment to differentiate data from intelligence.
Healthy skepticism: understanding that not all data collected is trustworthy.
Anonymity and protection of sources as a key responsibility.
Ethical Considerations
Important aspects of ethics in open source investigations:
Ensuring the protection of sources.
Procedures for verifying information accuracy.
Recording investigation activities step by step for accountability.
Real-World Application of Open Source Intelligence
Various users of open source information:
Journalists and media organizations.
Communities of niche interests.
Advocacy organizations like Human Rights Watch and Amnesty International handling sensitive cases.
Government intelligence agencies (FBI, CIA, Mossad).
Private investigators and military bodies using OSINT.
Challenges in Open Source Intelligence
Flood of information challenges:
Differentiation between credible and non-credible sources is crucial.
Effective use of tools for image analysis and video verification.
Specific investigative cases discussed (e.g., George Floyd incident, tracking violence through social media.)
Examination of Evidence
Evidence defined in journalistic terms:
Connection between diverse data points (e.g., emails) to build a substantial narrative or case.
Understanding the limitations of individual pieces of evidence.
Need for robust judicial processes in addressing criminal allegations.
Open Source Tools in Investigations
Practices for analyzing images and data:
Techniques for geolocation using various information sources (e.g., vegetation, public records, seasonality).
Discussions around practical exercises for extracting meaningful insights from visual information.
Interactive Class Component
Engagement in GeoGuessr as a practical application exercise for geolocation and observation.
Focus on utilizing critical thinking and analysis skills to derive conclusions based on visible clues in images.
Encouragement for participation and active engagement in class exercises to solidify understanding of open source investigations and applications.