Media Manipulation and Bias Detection
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HonestyMeter - AI powered bias detection
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Ministry of Education / Official communication
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 information mainly from one institutional source without including other relevant perspectives or independent verification.
The article is entirely based on the Ministry’s released information: phrases like "როგორც განათლების სამინისტროს მიერ გავრცელებულ ინფორმაციაშია ნათქვამი" indicate that the whole piece reproduces the Ministry’s account. There are no direct quotes or summarized positions from TSU or GTU representatives beyond what the Ministry states about them.
Add direct comments or statements from TSU and GTU representatives (e.g., how they view the potential merger, concerns, or support).
Include at least one independent expert or analyst view on the implications of merging TSU and GTU, clearly labeled as analysis or opinion.
Clarify that the article is based solely on the Ministry’s press release and explicitly note that other stakeholders’ positions are not yet presented, if such information was not available at the time.
- 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.