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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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 positive, promotional adjectives that implicitly evaluate the offer instead of describing it neutrally.
Sentence: "एनसेलले फुडमान्डुसँग साझेदारी गर्दै नयाँ आकर्षक अफर ल्याएको छ ।" The term "आकर्षक" (attractive) is a value-laden, promotional descriptor that frames the offer positively without evidence or comparison.
Replace "नयाँ आकर्षक अफर" with a neutral phrase such as "नयाँ अफर" (new offer).
Alternatively: "एनसेलले फुडमान्डुसँग साझेदारी गर्दै नयाँ अफर सार्वजनिक गरेको छ ।"
If keeping an evaluative term, attribute it clearly: e.g., "एनसेलले फुडमान्डुसँग साझेदारी गर्दै आफ्नो भनाइमा आकर्षक रहेको नयाँ अफर ल्याएको छ ।" so it is presented as the company’s claim, not as a 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.