HonestyMeter - AI powered bias detection
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Caution! Due to inherent human biases, it may seem that reports on articles aligning with our views are crafted by opponents. Conversely, reports about articles that contradict our beliefs might seem to be authored by allies. However, such perceptions are likely to be incorrect. These impressions can be caused by the fact that in both scenarios, articles are subjected to critical evaluation. This report is the product of an AI model that is significantly less biased than human analyses and has been explicitly instructed to strictly maintain 100% neutrality.
Nevertheless, HonestyMeter is in the experimental stage and is continuously improving through user feedback. If the report seems inaccurate, we encourage you to submit feedback , helping us enhance the accuracy and reliability of HonestyMeter and contributing to media transparency.
Appeal to emotion
Using emotional statements to engage readers.
Elba's comments about building a retirement home for his mother and his late father's pride appeal to the reader's emotions.
Suggested Changes
Provide more objective details about the project's feasibility without focusing on personal anecdotes.
Oversimplification
Simplifying the complexity of a project.
The article simplifies the challenges of building a new city by focusing on the dream and vision without delving into the technical and logistical complexities involved.
Include expert opinions or analysis on the challenges of such projects.
Biased language
Using language that shows a preference for one side.
The article uses positive language to describe Elba's project, such as 'environmentally-friendly smart city', 'culturally diverse international city', and 'eco city principles', which may bias the reader in favor of the project.
Use neutral language to describe the project and include potential downsides or challenges.
- This is an EXPERIMENTAL DEMO version that is not intended to be used for any other purpose than to showcase the technology's potential. We are in the process of developing more sophisticated algorithms to significantly enhance the reliability and consistency of evaluations. Nevertheless, even in its current state, HonestyMeter frequently offers valuable insights that are challenging for humans to detect.