Media Manipulation and Bias Detection
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HonestyMeter - AI powered bias detection
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Lebanon
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 important context or details that could provide a more balanced view.
The article mentions the ceasefire agreement and Israeli violations but does not provide details on the reasons for the drone strike or the broader context of ongoing tensions.
Include information on the reasons behind the drone strike.
Provide context on the ongoing conflict and any recent developments that may have led to this incident.
The article presents more information from one side, potentially leading to a biased perspective.
The article focuses on the Lebanese perspective, mentioning the ceasefire violations by Israel without providing Israel's perspective or response.
Include statements or responses from Israeli officials regarding the incident.
Provide a balanced view by including historical context or recent events that may have influenced the actions of both sides.
- 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.