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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Police account / official version
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.
Leaving out relevant facts or context that could help readers fully understand the situation.
The article states that the incident happened due to an "आपसी विवाद" (mutual dispute) but provides no further detail about the nature of the dispute, the circumstances of the altercation, or any response from the accused or witnesses. It also notes that two people were arrested but does not explain why their identities are withheld (e.g., ongoing investigation, legal restrictions). This is not clearly manipulative, but the lack of context limits readers’ ability to assess the situation independently.
Add neutral context about the nature of the dispute if verified: for example, whether it was personal, financial, or otherwise, and clearly attribute this information to sources (e.g., police, witnesses).
Explain, in neutral terms, why the identities of the arrested individuals are not being made public (e.g., legal constraints, ongoing investigation) so readers understand the reason for non-disclosure.
Clarify what information is currently unknown or under investigation, explicitly stating that some details are not yet available rather than leaving them implied.
Relying on a single type of source or perspective, which can unintentionally bias the narrative.
All factual claims are attributed to "जिल्ला प्रहरी परिसर काठमाडौंका अनुसार" (according to the District Police Range, Kathmandu). There are no corroborating sources such as hospital staff, eyewitnesses, family members, or legal representatives. While common in brief crime reports, this one-sided sourcing means the article reflects only the official institutional perspective.
Include confirmation from the hospital (e.g., a brief statement that the hospital declared the victim dead on arrival, if available and appropriate).
If feasible and ethical, add a short, factual comment from the victim’s family or legal representatives, clearly marked as their perspective.
Explicitly note that the information currently comes only from police sources and that other perspectives or official updates may follow as the investigation progresses.
- 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.