Media Manipulation and Bias Detection
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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 exciting or shocking stories at the expense of accuracy, to provoke public interest or excitement.
The article uses sensational language when describing Kanye's actions on social media and his controversial behavior.
Avoid using charged words like 'provocative image' and 'stir on social media'. Instead, provide a neutral description of the events.
Language that is biased or contains value judgments.
The article uses biased language when describing Kim Kardashian's fashion choices and Kanye West's recent controversies.
Describe Kim Kardashian's outfit without value-laden terms like 'fashion-forward' and 'statement-making'.
Present Kanye West's controversies without implying judgment, sticking to the facts.
Leaving out information that is important to understanding the full context of the situation.
The article omits the context behind Kanye West's antisemitic comments and the public's response to them.
Include more background information on the controversies surrounding Kanye West to provide a fuller picture.
- 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.