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.
Using emotive language to create a strong emotional response rather than presenting information objectively.
The descriptions of Angkor Wat and its significance are written in a way that may evoke an emotional response, such as 'awe-inspiring', 'breathtaking spectacle', and 'majestic towers'.
Use more neutral language to describe Angkor Wat, focusing on factual descriptions rather than emotive or subjective terms.
The tendency for an impression created in one area to influence opinion in another area.
The article connects Taylor Swift, a popular and positively viewed celebrity, with Angkor Wat, which could lead readers to have a more favorable view of the temple based on their feelings towards the singer.
Separate the discussion of Taylor Swift's album from the historical and cultural significance of Angkor Wat to avoid any potential halo effect.
- 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.