Media Manipulation and Bias Detection
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HonestyMeter - AI powered bias detection
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None (balanced coverage of both 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 adjectives that characterize events (e.g., ‘challenging target’, ‘excellent start’) rather than purely neutral description.
1) Headline and summary: "जोन्सको अर्धशतकमा स्कटल्यान्डले दियो नेपाललाई चुनौतीपूर्ण लक्ष्य" and "१७१ रनको चुनौतीपूर्ण लक्ष्य" – calling 171 a ‘challenging’ target is a mild evaluative judgment rather than a strictly neutral fact. 2) Body: "सुरुको १० ओभरमा ८० रन जोडेर उत्कृष्ट सुरुवात गर्यो" – describing the first 10 overs as an ‘excellent start’ is an evaluative characterization. These do not distort facts but add a small layer of subjective assessment.
Replace "चुनौतीपूर्ण लक्ष्य" with a neutral description such as "१७१ रनको लक्ष्य" or "१७१ रनको लक्ष्य, जुन टी–२० क्रिकेटमा मध्यमभन्दा माथि मानिन्छ" and, if desired, support it with comparative data (e.g., average first-innings scores at that ground).
Replace "उत्कृष्ट सुरुवात गर्यो" with a more descriptive, neutral phrase such as "सुरुको १० ओभरमा ८० रन जोड्यो" and optionally add context like "जसले टोलीलाई बलियो स्थितिमा पुर्यायो" supported by run-rate norms.
Where adjectives are used, pair them with brief statistical or historical context (e.g., ground averages, typical winning scores) so that the evaluation is clearly grounded in data rather than impression.
- 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.