Media Manipulation and Bias Detection
Auto-Improving with AI and User Feedback
- Objectivity Score
- Objectivity Score
- Objectivity Score
- Objectivity Score
- Objectivity Score
- Objectivity Score
Media Manipulation and Bias Detection
Auto-Improving with AI and User Feedback
HonestyMeter - AI powered bias detection
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Gandaki Province teams
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.
Using slightly value-laden or descriptive terms that can subtly shape perception, even if not strongly biased.
The phrase "१–० को झिनो गोलअन्तर" (a narrow 1–0 goal difference) adds a small amount of evaluative framing, emphasizing how close the match was. This is common in sports reporting and not misleading, but it is technically a framing choice rather than a purely neutral description.
Replace "१–० को झिनो गोलअन्तर" with a purely neutral phrase such as "१–० को गोलअन्तर".
Ensure all match descriptions use similarly neutral phrasing (e.g., consistently just stating scores without adjectives) if the goal is maximal objectivity.
Clarify that such wording is descriptive and not evaluative, if needed, by maintaining the same style for all teams and matches.
- 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.