Media Manipulation and Bias Detection
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HonestyMeter - AI powered bias detection
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None (neutral / no clear sides in conflict)
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.
Use of subtly positive or promotional wording that frames a person or decision in a favorable light without providing comparative or critical context.
The line "Former Wrightson and TelstraClear executive joins the regulator in May." and the phrase "high-ranking executive positions" present the appointee’s background in a mildly promotional way, emphasizing seniority and notable employers without any neutral qualifier or context (e.g., scope of responsibilities, performance, or selection process). While this is common in brief appointment notices, it is still a slight positive framing.
Replace value-laden terms with neutral descriptions, e.g.: "Stew has held senior roles at the Ministry for Business, Innovation and Employment (MBIE) over the past seven years, including serving as interim CEO between September 2025 and January 2026."
Clarify the nature of the roles instead of emphasizing status, e.g.: "Stew previously worked at Wrightson and TelstraClear in executive positions overseeing [relevant functions], before joining MBIE."
If space allows, add minimal process context to avoid implied endorsement, e.g.: "The Commerce Commission appointed Stew following a recruitment process that considered internal and external candidates."
- 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.