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 excitement, shock, or interest.
The article uses sensational language to describe the perfume, such as 'smell just like Zendaya' and 'compliments as you walk down the street'.
Use more neutral language to describe the perfume.
Selectively choosing data or information that supports a particular viewpoint while ignoring contradictory data.
The article selectively highlights positive reviews of the perfume, ignoring any negative reviews or alternative options.
Provide a more balanced view by including a range of reviews, both positive and negative.
Using language that favors one side or viewpoint over another.
The article uses biased language to promote the perfume, such as 'the right scent for you' and 'makes me feel beautiful and confident and fresh and clean'.
Use more neutral language when describing the perfume.
- 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.