Media Manipulation and Bias Detection
Auto-Improving with AI and User Feedback
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- 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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Analyst/Company 'Matios' (Rati Meskhiashvili) perspective
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.
Presenting a forecast or complex market outcome in a more categorical way than the evidence shown in the article strictly supports.
Quote: „რაც შეეხება რუსეთში საწვავის დეფიციტს, ვფიქრობ, ამას გლობალურ სანავთობო ბაზრებზე გრძელვადიან პერსპექტივაში მნიშვნელოვანი გავლენა არ ექნება. სავარაუდოდ, რუსეთი საწვავის იმპორტს მხოლოდ იქამდე განახორციელებს, სანამ ომისგან დაზიანებულ სანავთობო ინფრასტრუქტურას აღადგენს“. The statement about having no significant long‑term impact on global oil markets is presented as the expert’s opinion but is not accompanied by concrete data, scenarios, or mention of uncertainties. This slightly oversimplifies a complex issue and could be read as more definitive than the evidence provided in the article.
Add explicit uncertainty markers and conditions, for example: „ეს არის ჩემი შეფასება არსებული მონაცემების საფუძველზე, თუმცა გრძელვადიანი გავლენა დამოკიდებული იქნება როგორც ომის დინამიკაზე, ისე გლობალურ მოთხოვნა-მიწოდების ცვლილებებზე.“
Include brief supporting reasoning or data, e.g. reference to Russia’s share in refined product exports, current global spare capacity, or IEA/OPEC assessments, to ground the claim.
Mention that other analysts may have different views, for example: „ზოგი ანალიტიკოსი მიიჩნევს, რომ თუ დეფიციტი გაგრძელდა, შესაძლოა ფასებზე უფრო ხანგრძლივი ზეწოლა მოხდეს.“
Relying on a single expert/source without indicating whether other expert views exist, which can create an impression of consensus where there may be none.
The article relies almost entirely on the views of one person, Rati Meskhiashvili, and references to “ზოგიერთი მსხვილი, საერთაშორისო, საინვესტიციო ბანკების მოლოდინით” without naming specific institutions or contrasting forecasts. This is not overtly manipulative but slightly limits perspective on a forecast‑heavy topic.
Name at least one or two of the international investment banks whose forecasts are being referenced, or specify a range of forecasts (e.g. IEA, OPEC, major banks) to show diversity of views.
Add a short sentence indicating whether there are higher or lower alternative price forecasts for 2026, to show that the cited forecast is one scenario among several.
Clarify the basis of the forecast (e.g. assumptions about demand growth, OPEC+ policy, geopolitical risks) so readers understand it is conditional, not a guaranteed outcome.
- 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.