Media Manipulation and Bias Detection
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Storm impact / factual reporting
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 broader context or comparative data that could help readers better understand the scale or significance of the event, even if not done with manipulative intent.
The article reports: "სკანდინავიურ ქვეყნებში დამტყდარი ძლიერი ზამთრის ქარიშხლის შემდეგ, შვედეთში 3 ადამიანი დაიღუპა..." and lists specific incidents and disruptions, but does not provide context such as how this storm compares to previous storms in the region, whether such fatalities and power outages are unusually high, or any information about ongoing response and recovery efforts.
Add comparative context, e.g.: "მეტეოროლოგების თქმით, ეს ქარიშხალი ბოლო X წლის განმავლობაში ერთ-ერთ ყველაზე ძლიერად ითვლება/საშუალო ზამთრის შტორმის მასშტაბს არ აღემატება."
Include brief information on response efforts, e.g.: "ადგილობრივი ხელისუფლების ცნობით, აღდგენითი სამუშაოები მიმდინარეობს და ელექტრომომარაგების სრულად აღდგენა მოსალოდნელია X საათის/დღის განმავლობაში."
Clarify geographic scope, e.g.: "შტორმმა ყველაზე მეტად დააზარალა ქვეყნის სამხრეთ და ჩრდილოეთ რეგიონები, ხოლო ცენტრალურ ნაწილში ზიანი შედარებით მცირე იყო."
- 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.