Media Manipulation and Bias Detection
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HonestyMeter - AI powered bias detection
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Social Media Users
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.
Presenting the incident in an exaggerated or dramatic manner to evoke strong emotions from the readers.
The article uses sensational language to describe IShowSpeed's reaction, such as 'broke down in tears' and 'yelling expletives.'
Use neutral language to describe the incident without exaggeration.
Using a headline that misrepresents the content of the article to attract attention.
The headline suggests that IShowSpeed quit YouTube after being fooled into thinking Cristiano Ronaldo had died, but the article only mentions him ending the livestream.
Use a more accurate headline that reflects the actual content of the article.
Using language that favors one side or presents a subjective opinion.
The article includes biased language when describing IShowSpeed's reaction, such as 'gasped' and 'appeared to have started choking up.'
Use neutral language to describe IShowSpeed's reaction without adding subjective interpretations.
- 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.