Media Manipulation and Bias Detection
Auto-Improving with AI and User Feedback
HonestyMeter - AI powered bias detection
CLICK ANY SECTION TO GIVE FEEDBACK, IMPROVE THE REPORT, SHAPE A FAIRER WORLD!
New Zealand team
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 slightly evaluative terms that characterize performance or situation (common in sports reporting) but do not significantly distort facts.
Phrases like: - "न्युजिल्यान्डले संक्षिप्त पतनको स्थितिबाट मुक्त हुँदै..." (New Zealand, escaping from a brief collapse...) - "८४ रनको कमजोर स्थितिमा थियो" (was in a weak position at 84/6) These describe the game situation with mild value judgments (collapse, weak position), though they are consistent with standard cricket analysis and the scoreline.
Replace evaluative terms with more neutral descriptions, e.g. instead of "संक्षिप्त पतनको स्थितिबाट मुक्त हुँदै" say "१३ ओभरमा ६ विकेट गुमाएपछि पछिल्ला ओभरमा रन गति बढायो" (after losing 6 wickets by 13 overs, they increased the scoring rate in the later overs).
Instead of "८४ रनको कमजोर स्थितिमा थियो", use a neutral formulation like "१३ ओभरमा ६ विकेट गुमाएर ८४ रनमा थियो" (were 84/6 after 13 overs) and let readers infer whether that is weak or strong.
Avoid adjectives that evaluate performance unless they are clearly supported by comparative data or quotes from experts/players, and present them as analysis rather than fact.
- 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.