Media Manipulation and Bias Detection
Auto-Improving with AI and User Feedback
HonestyMeter - AI powered bias detection
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Kim Kardashian
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 use of exaggerated language or details to provoke strong emotions or interest.
Kim Kardashian, known for her flair for extravagance, has once again demonstrated her mastery at creating an unforgettable Halloween experience.
Remove exaggerated language and focus on the facts.
The use of language that favors one side or perspective over another.
Howard couldn't contain her excitement, dubbing it 'the most epic haunted house ever' and tagging the SKIMS founder.
Use neutral language to describe the event.
Selectively choosing data or information that supports a particular viewpoint while ignoring contradictory evidence.
Howard shared a glimpse of one of the tables, which featured a gruesome setup with bloody gauze, red vials, fake severed hands, and bags of blood hanging from mini IV poles.
Include a balanced description of the event, mentioning both positive and negative aspects.
- 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.