Media Manipulation and Bias Detection
Auto-Improving with AI and User Feedback
HonestyMeter - AI powered bias detection
CLICK ANY SECTION TO GIVE FEEDBACK, IMPROVE THE REPORT, SHAPE A FAIRER WORLD!
Armenia
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.
Use of language that unfairly favors one side over another.
The article uses terms like 'հիշեցնում' (reminds) and 'հիշեցնել կամ հասկացնել' (remind or imply) which suggest a bias towards the Armenian perspective.
Use neutral language that does not imply bias towards any side.
Claims made without sufficient evidence or support.
The article mentions 'Ադրբեջանը հրադադար է խնդրել' (Azerbaijan requested a ceasefire) without providing evidence or sources to support this claim.
Provide evidence or sources to support claims made in the article.
Leaving out important information that could provide a more balanced view.
The article does not provide detailed information about the Azerbaijani perspective or the reasons behind their actions.
Include information from Azerbaijani sources or perspectives to provide a more balanced view.
- 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.