Media Manipulation and Bias Detection
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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.
The use of hyperbolic language to create a buzz or heightened emotional response.
The title suggests a significant apology for a serious debt, which turns out to be a friendly bet settled with a £10 note.
Rephrase the title to reflect the light-hearted nature of the bet and apology.
Content that can lead to an incorrect understanding of the situation.
The title implies a serious financial issue between Elton John and Gary Lineker, which is not the case.
Clarify in the title that the 'debt' was a friendly wager between the two.
Content that serves as an advertisement or promotion rather than providing objective information.
The article ends with a promotion for TNT Sports and other services, which is not directly related to the article's main content.
Remove or clearly separate promotional content from the main article.
- 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.