Media Manipulation and Bias Detection
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HonestyMeter - AI powered bias detection
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Pete Davidson
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.
The article uses sensational language to grab attention.
Pete Davidson 'kicks out venue employee for breaking no-phone policy at his comedy gig': 'I pay $10,000 to lock up your phones!'
Change the headline to a more neutral tone.
Avoid using exaggerated language.
The article includes biased language that favors Pete Davidson.
Pete Davidson berated a comedy venue employee for breaking the no-phone policy at his comedy gig in NYC on Thursday.
Use neutral language to describe the incident.
Avoid favoring one side over the other.
The article fails to provide important details about the incident.
Davidson then interrupted his set to shout at the employee filming: 'F**k you' according to an eyewitness.
Include more details about the eyewitness account.
Provide a balanced perspective by including statements from both sides.
- 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.