Media Manipulation and Bias Detection
Auto-Improving with AI and User Feedback
HonestyMeter - AI powered bias detection
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Matt Rife
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.
Using language that is emotionally charged or biased towards one side.
Phrases like 'meteoric rise into the spotlight' and 'staggering 19 million TikTok followers' use hyperbolic language that can be seen as overly positive.
Replace 'meteoric rise into the spotlight' with 'rapidly gained popularity.'
Replace 'staggering 19 million TikTok followers' with 'gained 19 million TikTok followers.'
Making claims without providing evidence or sources.
The statement 'people can just make up anything they want about you for their own gain' is a broad claim without specific examples or evidence.
Provide specific examples or evidence to support the claim that people make up things for their own gain.
Leaving out important information that could provide a more balanced view.
The article briefly mentions the controversy around a joke involving domestic violence but does not provide details or perspectives from critics.
Include more details about the controversy and perspectives from critics to provide a balanced view.
- 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.