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.
Exaggerating or sensationalizing events to attract attention.
The title 'Why are you bullying me??' and phrases like 'hilariously fires back' and 'fierce comebacks' add a sensational tone to the article.
Use a more neutral title such as 'Kevin Durant Responds to Fan's Comment on Social Media'.
Replace 'hilariously fires back' with 'responds humorously'.
Replace 'fierce comebacks' with 'direct responses'.
Using language that unfairly favors one side over another.
The article uses terms like 'overrated @KingJames' and 'AirJordans23' which could imply bias against LeBron James and favor Michael Jordan.
Remove subjective terms like 'overrated' and use neutral language.
Focus on the facts of the interactions without implying bias towards any player.
- 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.