Media Manipulation and Bias Detection
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HonestyMeter - AI powered bias detection
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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 sensational language to evoke strong emotions or to shock the audience.
The article title '3 teens dangle their feet from top of 37-story luxury high-rise in terrifying video' uses sensational language to evoke fear and shock.
Use a more neutral title such as 'Video captures teens sitting on edge of high-rise building in Brisbane'
Presenting information in a way that may lead to incorrect conclusions.
The article implies a connection between the teens' actions and past balcony fall deaths without evidence that these incidents are related.
Clarify that the past incidents are separate and not directly related to the teens' actions
Attempting to manipulate an emotional response in place of a valid or compelling argument.
The description of the incident and the mention of past tragic events may be intended to provoke an emotional response rather than providing an objective report.
Focus on the facts of the current incident without invoking unrelated past tragedies
- 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.