New Delhi, May 21: The government has objected to Twitter using 'manipulated media' tag for tweets on an alleged Congress toolkit used to target the Centre over its COVID-19 handling, sources said.
The government has asked Twitter to remove the 'manipulated media' tag as the matter is pending before law enforcement agency, and made it clear that the social media platform cannot pass judgment when the issue is under investigation.
Investigation will determine the veracity of the content and not Twitter, it has asserted while asking the microblogging platform not to interfere in the investigation process.
According to sources, the Ministry of Electronics and IT has written a strong communication to the global team of Twitter registering its objection to the 'manipulated media' tag on tweets made by some political leaders with reference to the toolkit allegedly created to undermine, derail and demean the efforts of the government against the COVID-19 pandemic.
In its communication to Twitter, the ministry has stated that a complaint has already been made by one of the concerned parties before the local law enforcement agency questioning the veracity of the toolkit and the same is under investigation.
While the local law enforcement agency is undertaking the investigation, Twitter has unilaterally drawn a conclusion in this matter and arbitrarily tagged it as 'manipulated media', government sources said.
Such tagging by Twitter appears pre-judged, prejudiced and a deliberate attempt to colour the investigation by local law enforcement agency, the sources pointed out.
The ministry has termed such unilateral action by Twitter as an effort to influence the fair investigation process and a clear overreach, which is totally unwarranted.
The ministry has further stated in its communication that Twitter unilaterally chose to go ahead and designate certain tweets as 'manipulated', pending investigation by the law enforcement agency.
Such action not only dilutes the credibility of Twitter as a neutral and unbiased platform facilitating exchange of views by the users but also puts a question mark on Twitter's status as an "intermediary", they said.
This comes in the backdrop of Twitter labelling as 'manipulated media' a tweet by BJP spokesperson Sambit Patra on the alleged toolkit prepared by the Congress to target the Modi government.
Twitter says it "may label Tweets that include media (videos, audio, and images) that have been deceptively altered or fabricated."
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TraceX Labs has announced the launch of GEOX AI, an advanced artificial intelligence platform capable of identifying the real-world location where a photograph or video was taken using only the visual content within the media.
Positioned as an enterprise-grade intelligence solution, GEOX AI leverages advanced computer vision and multi-agent AI to analyze pixel-level details such as architecture, road patterns, vegetation, signage, lighting, and environmental context. By interpreting these visual clues, the system can estimate—and in many cases precisely determine—the origin of an image or video.
AI-Powered Geolocation Intelligence
Marketed under the concept of “Locate Anywhere From Any Image,” GEOX AI is designed for intelligence operations where speed, accuracy, and reliability are critical. The platform currently supports:
- 400+ analyses available
- <10 seconds average response time
- Up to 99% accuracy on landmark-based identification
- Global coverage across diverse terrains and environments
Core Capabilities
GEOX AI integrates multiple intelligence features into a single platform:
- Precise Geolocation:
Identifies exact geographic coordinates using visual landmarks, architecture, vegetation, and cultural indicators. - Satellite Map View:
Results are plotted on live satellite imagery with 2D/3D viewing options and multiple map styles for deeper analysis. - AI Reasoning Analysis:
Provides a detailed explanation of how the system arrived at a conclusion, including confidence scoring. - Multi-Result Analysis:
Returns multiple possible locations ranked by confidence, enabling cross-verification. - Intelligence PDF Export:
Allows one-click generation of professional reports containing maps, coordinates, analysis, and structured findings. - Credit-Based Access:
Agencies are allocated credits, with each analysis consuming one credit. Additional credits can be requested directly.
Speed Meets Intelligence
GEOX AI is designed to balance rapid processing with analytical depth:
- Fast Mode: Delivers results within seconds for clear and high-context images
- Advanced Mode: Performs deeper multi-step analysis for complex or ambiguous visuals
- Built for real-time decision-making in high-pressure environments
How GEOX AI Works
The platform follows a simple and efficient workflow:
- Upload any image or video frame
- AI analyzes visual clues such as structures, terrain, and environment
- The system identifies location with coordinates, confidence score, and reasoning
- Results are displayed on an interactive satellite map
- Export a professional intelligence report in one click
A Breakthrough for Investigations
GEOX AI is expected to have wide-ranging applications across multiple domains:
- Tracking the origin of images from social media and open sources
- Supporting digital forensics and cyber investigations
- Assisting law enforcement and intelligence operations
- Helping journalists and OSINT analysts verify visual content
- Providing support in missing person cases and threat intelligence scenarios
Enterprise Access and Deployment
GEOX AI is available to verified law enforcement agencies, intelligence organizations, and authorized enterprises. Access is provided through a structured system where organizations can request credentials and define their operational use cases.
Interested users can request access via tracexlabs.com or contact contact@tracexlabs.com, with response times typically within 24–48 hours.
Privacy Debate Intensifies
The launch of GEOX AI has also sparked renewed discussion around digital privacy. By demonstrating how location data can be extracted purely from visible elements within images, the platform highlights the potential risks associated with sharing photos online without considering what those visuals may reveal.
Conclusion
With GEOX AI, TraceX Labs is entering the rapidly evolving geolocation intelligence space with a platform that combines speed, precision, and real-world usability. As artificial intelligence continues to advance, tools like GEOX AI are expected to play a critical role in shaping the future of investigations, security, and digital intelligence.
