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Patent drawing for Analyzing social media data to identify markers of coordinated movements, using stance detection, and using clustering techniques
US 12,499,160 B2
Computing US 12,499,160 B2 Not in force

Analyzing social media data to identify markers of coordinated movements, using stance detection, and using clustering techniques

This invention describes a computer system that sifts through social media posts, including content from different platforms, to understand how ideas or movements spread over time. It does this by building evolving maps of connections between users and content, even linking the same person's accounts across different social media sites, to identify coordinated activities or trends.

Why it matters: Filed in 2024, this invention's core techniques like stance detection and knowledge graph generation have seen significant advancements in large language models and graph AI in the past two years, potentially simplifying implementation and improving accuracy.

Status
Not in forceListed as no longer active. The specific reason is not in the record we hold.
How hard to build
SpecializedSoftware logic, data pipelines, machine learning models

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