Media Manipulation and Bias Detection
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HonestyMeter - AI powered bias detection
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Ariana Grande
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 when describing Ariana Grande's divorce from Dalton Gomez, such as 'amid her divorce' and 'worked everything out'.
Use neutral language when describing the divorce process.
Leaving out important details that may provide a more balanced or accurate representation of the situation.
The article does not provide any information about the reasons for the divorce or any potential issues in the relationship.
Include relevant information about the reasons for the divorce and any potential issues in the relationship.
Using language that favors one side or presents a subjective viewpoint.
The article refers to Ariana Grande as the '30-year-old pop star' and mentions her estimated net worth of $240 million, which may imply a bias towards her.
Use neutral language when referring to the individuals involved and avoid mentioning their net worth.
- 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.