Media Manipulation and Bias Detection
Auto-Improving with AI and User Feedback
- Objectivity Score
- Objectivity Score
- Objectivity Score
- Objectivity Score
- Objectivity Score
- Objectivity Score
Media Manipulation and Bias Detection
Auto-Improving with AI and User Feedback
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 hyperbolic language to provoke interest or excitement at the expense of accuracy.
The article uses phrases like 'rage quits', 'baffling gameplay', 'slammed', 'enraged', 'breaking point', 'flurry of losses', 'most uncoachable', 'lost brain cells', 'abomination', and 'hits his table' to sensationalize the events described.
Use neutral language to describe the events, such as 'ended the stream early due to frustration', 'expressed disappointment', 'decided to stop playing'.
Language that is partial or prejudiced, favoring or disfavoring something in an unfair way.
The article uses biased language such as 'baffling gameplay', 'slammed', 'most uncoachable', and 'abomination' which may unfairly portray Kai Cenat's gameplay and Jynxzi's reaction.
Replace biased terms with neutral descriptions, such as 'unexpected gameplay decisions', 'criticized', 'challenging to coach', and 'not in line with expected standards'.
Claims that are presented without evidence or support.
The article claims that 'we have all lost brain cells watching that' without providing evidence or support for such a statement.
Remove hyperbolic statements or provide evidence to support claims, such as viewer reactions or specific examples of gameplay.
- 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.