Media Manipulation and Bias Detection
Auto-Improving with AI and User Feedback
HonestyMeter - AI powered bias detection
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Adin Ross & Kai Cenat
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 provoke interest at the expense of accuracy.
The title 'IShowSpeed Farts On Woman Guest In Front Of Adin Ross & Kai Cenat, Leaves The Room Disgusted' is sensational and designed to provoke a strong emotional reaction.
Use a more neutral title that describes the event without sensational language.
Use of language that is not neutral and shows author's prejudice.
Phrases like 'absolutely no chill', 'complete shambles', 'shameless individual', and 'juvenile and slap stick comedy' indicate a negative bias against IShowSpeed.
Use neutral language to describe the events and individuals involved.
Claims made without evidence or support.
The statement 'It is impossible to say why that is' regarding the clip going viral is an unsubstantiated claim, as no evidence or analysis is provided.
Provide evidence or expert analysis to support claims about why the clip went viral.
- 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.