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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Authorities/Officials (local government, fire department, mayor)
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 contextual details that could help readers fully understand the situation.
The article reports the number of deaths, missing persons, and displaced people, and mentions the declaration of a state of emergency, but does not provide broader context such as: - Whether this level of rainfall and damage is unusual compared to previous years. - Possible contributing factors (e.g., infrastructure quality, land use, climate patterns) if known. - Any response measures beyond declaring a state of emergency (rescue operations, shelters, aid).
Add brief historical or comparative context, for example: "यो स्तरको वर्षा पछिल्ला १० वर्षकै सबैभन्दा बढी हो" if supported by data.
Mention concrete response actions by authorities (rescue teams deployed, shelters opened, aid announced) if verified information is available.
Clarify whether investigations into causes (e.g., drainage issues, deforestation, urban planning) are underway, and explicitly state when such information is not yet available.
Relying on a narrow set of sources, which can unintentionally limit perspectives, even if not overtly biased.
The article primarily cites: - मिनास गेराइस राज्यका अधिकारीहरू - जुइज डे फोरा नगर प्रमुखको कार्यालय - मिनास गेराइस अग्नी नियन्त्रण विभाग - स्थानीय सञ्चारमाध्यम There are no direct quotes or perspectives from affected residents, independent experts, or humanitarian organizations, which keeps the narrative almost entirely official.
Include at least one short, factual quote or paraphrased account from affected residents (e.g., describing the extent of flooding or evacuation) without emotional exaggeration.
Add information from an independent expert or meteorological service about the rainfall pattern and risk assessment, if available.
Mention involvement of non-governmental organizations or civil defense groups, if they are participating in relief efforts, to broaden the source base.
- 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.