Media Manipulation and Bias Detection
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HonestyMeter - AI powered bias detection
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OECD / reported economic data
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 contextual information that would help readers fully understand the significance of the reported facts.
The article lists inflation rates and changes (e.g., "ინფლაცია 4.4%-ით გაიზარდა", "ყველაზე მაღალი ინფლაცია თურქეთში დაფიქსირდა - 32.4%"), but does not provide context such as how these figures compare to longer‑term trends, targets, or causes of the changes. This can make it harder for readers to interpret whether the numbers are unusually high or low, or what might be driving them.
Add brief historical context, e.g., compare current OECD inflation to the average of the last few years or to pre‑pandemic levels.
Mention, if known and sourced, key drivers of the inflation changes (such as energy market developments, monetary policy, or supply chain factors), clearly distinguishing facts from analysis.
Clarify the significance of the figures by referencing inflation targets where relevant (e.g., typical 2% targets in many OECD countries), while keeping the tone neutral and non‑speculative.
- 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.