NL Times

NL Times is a Dutch news website that provides information on various topics including health and science. The site focuses on delivering accurate and up-to-date news to its readers. An example article covers a new Dutch model that can better predict the rate at which Alzheimer's patients will deteriorate, providing valuable information for patients and their doctors.

100%

The overall score is a weighted number that takes into account conflict of interest, bias, deception and other practices that undermines the credibility of the source. It is calculated as:
Analysis.OverallConflictOfInterestScore * 0.3F + Analysis.OverallBiasScore * 0.3F + Analysis.DeceptivenessScore * 0.3F + Analysis.ReadabilityScore * 0.1F

A score that takes into consideration the content for flow, interruptions with ads, and overt search engine optimization techniques that makes the content hard to understand

The Daily's Verdict

This news site is known for its high journalistic standards. It strives to maintain neutrality and transparency in its reporting, and avoids conflicts of interest. It has a reputation for accuracy and rarely gets contradicted on major discrepancies in its reporting.

Bias

100%

Examples:

No current examples available.

Conflicts of Interest

100%

Examples:

No current examples available.

Contradictions

75%

Examples:

  • The model is a forecast and comes with uncertainty, but patients still want this information for informed discussions with their doctors.

Deceptions

100%

Examples:

No current examples available.

Recent Articles

  • Revolutionizing Alzheimer's Treatment: New Model Predicts Cognitive Decline and Identifies Effective Drugs

    Revolutionizing Alzheimer's Treatment: New Model Predicts Cognitive Decline and Identifies Effective Drugs

    Broke On: Thursday, 11 July 2024 Researchers in Amsterdam develop a model to predict cognitive decline in Alzheimer's patients, potentially revolutionizing treatment and management. The study aims to create an app for clinicians, offering hope for millions affected by the disease. Further research is needed to refine the model and ensure accuracy.