Fact-Checking Process

DEEP DIVE

An in-depth breakdown of the methodology used to verify claims and combat misinformation. It details the step-by-step workflow our researchers use before publication.

Updated 4/17/2026verification, accuracy, methodology

At Latest Daily News, maintaining our audience's trust requires a rigorous, systematic approach to verifying claims, particularly in an era of rapid digital manipulation. Our Fact-Checking Process is the foundation of our journalistic integrity, combining traditional reporting with advanced Open Source Intelligence (OSINT) and digital forensics.

This document outlines the step-by-step methodology our specialized verification researchers use to combat disinformation before it reaches platforms like the Latest Daily News Hub or goes out in The Morning Briefing.

Step-by-Step Verification Workflow

Every piece of user-generated content (UGC), viral social media claim, or unverified imagery must pass through our mandatory verification pipeline. This workflow operates in tandem with our Breaking News Coverage Strategy to ensure speed does not compromise accuracy.

1. Triage and Claim Identification

Before launching a deep dive, researchers assess the velocity and potential harm of a claim. High-priority checks typically involve active conflicts, public safety, or geopolitical crises.

2. Digital Forensics and Reverse Searching

To confirm the origin of an image or video, researchers run elements through multiple reverse image search databases (Google, Yandex, Bing, TinEye). This helps determine if the media is old footage being miscontextualized. For example, during recent student protests spreading across Iranian universities, our team first verified that the footage of protesters waving black cloths was not recycled from earlier demonstrations.

3. Geolocation and Chronolocation

To prove where and when an event occurred, our team uses:

  • Geolocation: Matching landmarks, street signs, terrain, and building formations in a video with satellite imagery (like Google Earth or Sentinel Hub).
  • Chronolocation: Analyzing shadow lengths, weather patterns, and historical climate data to pinpoint the exact time of day a photo was taken.

4. Weapons and Munitions Analysis

In conflict zones, correctly identifying military hardware is paramount. When assessing strike footage, analysts slow down video frame-by-frame to examine the shape, fins, and exhaust of projectiles. Recently, our expert video analysis successfully identified a US Tomahawk missile hitting a military base near a primary school in southern Iran, and separately identified a Precision Strike Missile (PrSM) used in a deadly strike on the town of Lamerd.

Tackling AI and Synthetically Generated Disinformation

With the rapid advancement covered in our Technology and Science Overview, artificial intelligence has become a primary driver of false news. Fake AI videos relating to geopolitical conflicts routinely gain hundreds of millions of views online.

Our researchers use specialized software and visual scrutiny to identify deepfakes and AI augmentations. Key indicators include:

  • Anatomical anomalies: Extra fingers, blending of objects, or nonsensical background text.
  • Lighting inconsistencies: Shadows that do not align with the implied light source.
  • Voice cloning: We recently uncovered a Russian-linked disinformation campaign that used AI to clone the voice of a British 999 call handler. Audio forensics tools are used to detect unnatural digital breathing patterns and waveform irregularities.

Case Study: During recent escalations in the Middle East, our team debunked a flood of AI-generated content, including fake images of an F-35 fighter jet claimed to be shot down in Iran, AI-enhanced images that drastically exaggerated the size of an explosion in Erbil, Iraq, and a wave of AI-generated soldiers pushing pro-Iran messages. Identifying these fakes early prevents our World News Overview from amplifying state-sponsored propaganda.

Satellite Imagery Analysis

Satellite imagery provides crucial macro-level verification for large-scale events, troop movements, and infrastructural damage. We regularly compare "before" and "after" captures.

  • Damage Assessment: We utilized high-resolution satellite imagery to confirm a large hole in a building caused by a missile strike at a Russian missile factory.
  • Human Rights Investigations: Satellite mapping was pivotal in tracking how the Rapid Support Forces (RSF) militia carried out a massacre in Sudan, allowing us to map destroyed vehicles and burned structures near el-Fasher.

Edge Cases and Navigating Restrictions

A major challenge in real-time fact-checking is navigating data blackouts or restrictions. For instance, real-time tracking of the war in Iran recently became significantly harder due to new image restrictions imposed by major satellite providers like Planet Labs. In these edge cases, researchers must pivot to alternative low-resolution satellites (like Sentinel-2), rely on corroborated ground-level footage, or consult human intelligence sources as outlined in our Editorial Guidelines.

Publication and Transparency

Once a claim is definitively verified or debunked, the findings are prepared for publication. We believe in "showing our work." When publishing a debunk, we overlay our verification branding on fake images (clearly marking them to prevent accidental spread) and publish annotated stills—such as placing a green ring around an incoming missile or highlighting matching satellite features—so readers can follow our methodology.