HonestyMeter - AI powered bias detection
CLICK ANY SECTION TO GIVE FEEDBACK, IMPROVE THE REPORT, SHAPE A FAIRER WORLD!
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.
Sensationalism
Use of superlatives and dramatic language to create hype.
The phrase 'Sir Elton's mob have been through 11 managers and been scuppered by five clubs from a lower division in cup competitions' uses sensational language to dramatize Watford's situation.
Suggested Changes
Use a more neutral tone to describe Watford's managerial changes and cup competition history.
Appeal to emotion
Manipulating the reader's emotions to sway their opinion.
The article appeals to the reader's emotions by highlighting Chesterfield's past 'hard luck' and the 'seething undercurrent of resentment' regarding a historical game.
Present the historical context without language that suggests emotional bias.
Unbalanced reporting
Focusing more on one side of the story than the other.
The article focuses more on Chesterfield's perspective, their past successes, and the emotional aspect of their FA Cup journey, while not providing as much detail on Watford's stance or history.
Include more information and perspective from Watford to balance the reporting.
- 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.