The article discusses the evolving landscape of open source intelligence (OSINT) on Twitter, now rebranded as X, under Elon Musk's ownership.
The platform's changes have posed challenges for digital investigators who relied on third-party tools and APIs for data access.
With API restrictions, traditional OSINT tools like Twint and GetOldTweets3 are now less effective, requiring a shift in investigative methodologies.
Understanding the new Twitter landscape is crucial, as the platform's monetization model has created different user classes with various capabilities.
The removal of legacy verification badges and the introduction of paid verification have impacted source credibility assessment.
Effective Twitter OSINT involves crafting precise search queries using advanced search operators like from, to, near, filter, and hashtags.
In profile analysis, investigators can derive valuable intelligence from account creation patterns, username evolution, profile image analysis, and temporal behavioral fingerprinting.
Relationship intelligence on Twitter involves analyzing early followers, mutual connections, reply chain forensics, and systematic documentation for intelligence development.
Successful investigations establish behavioral baselines, employ multi-vector correlation analysis, and utilize predictive behavior modeling to anticipate future activities.
Modern Twitter OSINT demands cross-platform correlation skills and systematic investigation techniques to navigate the platform's evolving constraints.