InVID
A toolkit that supports the verification of videos and images.
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A toolkit that supports the verification of videos and images.
Last updated
Was this helpful?
(v. 0.84.1 - Feb. 2025)
The InVID Verification Plugin is a comprehensive toolkit designed to assist journalists in verifying content on social networks. It offers a suite of tools to analyze and verify videos and images, including contextual information retrieval, several engines (Google, Lens, Bing, TinEye, Yandex, Baidu, Karma Decay, DBKF), video fragmentation, and metadata extraction. The plugin supports multiple platforms, such as YouTube, Facebook, Twitter, and Instagram, making it a versatile tool for fact-checking and debunking tasks on social networks. (Some Twitter-related features may not work anymore due to the API policy change.)
Video Analysis
Provides contextual information and metadata for YouTube and public Facebook videos, helping users understand the video's background and related comments.
Keyframes
Segments YouTube or Facebook videos into keyframes for detailed analysis and reverse image search, enhancing verification processes.
Thumbnails
Extracts and performs a reverse search of thumbnails from YouTube videos to check for prior usage or manipulation.
Video Rights
Retrieves and displays information on legal rights for YouTube and Twitter videos, helping users understand reuse conditions and copyright issues.
Metadata
Extracts metadata from JPEG images and videos in MP4 or M4V formats, providing details such as creation date, camera settings, and location data.
Deepfake (Locked Feature)
Uses a machine learning classifier to determine the probability that a video contains AI-manipulated faces, such as face swapping or face reenactment. Access is restricted to registered users.
Image Analysis
Provides contextual information for images posted on Facebook, helping to verify their origin and context.
Offers a magnifying lens and photo editor to examine images in detail, allowing for close inspection of specific areas.
Extracts metadata from JPEG images and videos in MP4 or M4V formats, providing important information for verification.
Provides an enhanced toolkit to detect image forgeries, enabling detailed forensic analysis to identify manipulations.
Extracts text from images, making it easier to analyze and verify textual content within images.
CheckGIF (Locked Feature)
Compares an original image with a tampered one, including cropped images, and generates a GIF highlighting differences. Access is restricted to registered users.
Synthetic Image (Locked Feature) - Determines the probability that an image is AI-generated, using machine learning to assess potential manipulations. Access is restricted to registered users.
Deepfake (Locked Feature) - Detects if an image has been manipulated through face swapping, providing insights into possible deepfake content. Access is restricted to registered users.
Geolocalizer (Locked Feature) - Attempts to geolocate an image using an algorithm, helping to identify where a picture was taken. Access is restricted to registered users.
Detects AI-generated text-to-speech (voice cloning by AI), analyzing audio files to identify potential deep fake audio. Access is restricted to registered users.\
X Search
Performs advanced search queries on X (formerly Twitter), including precise time intervals, enhancing the ability to find relevant content.
Fact Check Semantic Search (Locked Feature)
Uses semantic search algorithms to find fact-checked information across various sources, improving the accuracy of verification. Access is restricted to registered users.
XNetwork
Provides a customized search engine (CSE) for cross-network queries, simultaneously allowing searches across multiple social media platforms (Twitter, Reddit, 4chan, YouTube, Facebook, 8kun, LinkedIn, VK, Instagram, and TikTok).
Factchecks
Facilitates the discovery of fact-checked articles and reports from trusted fact-checking organizations, aiding in content verification.
Twitter SNA (Locked Feature)
Performs social network analysis on Twitter, analyzing interactions, trends, and relationships to understand information spread and impact. Deprecated since July 1st, 2023, due to X/Twitter code changes. Is on registration, so might work again at some point and this article will reflect that. Access is restricted to registered users.
CSV Analysis
Allows the import and analysis of social network data from CrowdTangle exports, using Social Network Analysis (SNA) to provide in-depth insights into social media activity and trends.
Chromium browsers and Firefox are fully supported; Safari is not.
External Services: Some tools within the plugin rely on external services that are not open-sourced, which may affect transparency and long-term accessibility.
API Restrictions: Certain features, such as Twitter analysis, have been deprecated due to changes in platform APIs.
Locked Features: Several advanced features are restricted to registered users, such as journalists and researchers, which may limit access for general users.
Processing Time: The analysis of videos with a large number of comments or metadata can be slow, affecting efficiency.
Browser Compatibility: The plugin is primarily designed for Chrome and Opera browsers, with limited support for other browsers like Firefox.
Geolocation Accuracy: The Geolocalizer's accuracy depends on the availability and quality of metadata, which may not always be reliable.
AI Detection Limitations: The accuracy of synthetic image and deepfake detection tools can vary, and false positives or negatives may occur.
The InVID Verification Plugin helps researchers and journalists verify online media, but there are ethical implications when using it. First, the plugin relies on metadata extraction and reverse searches, which may access personal or private data embedded in media. This raises privacy concerns, especially if personal information is unintentionally exposed or used without consent.
Tools like deepfake and AI-generated image detectors may produce false positives or negatives, potentially leading to incorrect conclusions or accusations. It is essential to verify results through multiple sources before making claims. Users should also be mindful of the ethical responsibility of using the tool only for legitimate verification purposes, not for harmful surveillance or invasive investigations.
InVID is organized by a consortium of European research groups and businesses, coordinated by The Centre for Research and Technology Hellas (CERTH) in Northern Greece.
The InVID project has received funding from the European Union’s Horizon 2020 research and innovation program.
Martin Sona
Provenance (C2PA) - It reads an image or video's data.