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.
Sensationalism
Presenting information in a way that is intended to provoke excitement, shock, or interest
The article uses sensationalism in the title by using the word 'Wow!' to grab attention.
Suggested Changes
Change the title to a more neutral and informative one.
Cherry-picking data
Selectively choosing data or information that supports a particular viewpoint while ignoring contradictory data
The article selectively focuses on Selena Gomez's positive views on mental health and does not mention any challenges or negative experiences she may have faced.
Include a more balanced representation of Selena Gomez's experiences with mental health, including both positive and negative aspects.
Omission of key information
Leaving out important details or facts that may provide a more complete understanding of the topic
The article does not provide any information about the source or credibility of the quotes attributed to Selena Gomez.
Include information about the source of the quotes and any relevant context that may help readers evaluate their credibility.
- 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.