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.
Presenting information in a way that is intended to provoke interest or excitement, often at the expense of accuracy.
The article uses sensational language to describe Kelly Rowland's new look, such as 'risque' and 'barely-there.' This sensationalism exaggerates the significance of her appearance.
Use more neutral language to describe Kelly Rowland's new look.
Using language that favors one side or perspective over another.
The article refers to Beyonce as Kelly Rowland's 'former bandmate,' which implies a comparison and potentially favors Beyonce.
Avoid using language that implies a comparison or favors one side over another.
Selectively choosing data or information that supports a particular viewpoint while ignoring contradictory evidence.
The article focuses on Kelly Rowland's positive statements about being a role model and her parenting skills, while ignoring any potential challenges or criticisms.
Provide a more balanced view by including potential challenges or criticisms related to Kelly Rowland's role as a role model and parent.
- 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.