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's title 'Selena Gomez Says She Feels 'Safest' With Boyfriend Benny Blanco' may be seen as sensationalist as it emphasizes the emotional aspect of her relationship.
Use a more neutral title that focuses on the content of the interview, such as 'Selena Gomez Discusses Relationship and Personal Growth in Recent Interview'.
Attempting to manipulate an emotional response in place of a valid or compelling argument.
The section soliciting donations for HuffPost's journalism uses emotional appeals, emphasizing the importance of the 2024 presidential race and the role of a free press in well-informed voting.
Provide a more balanced and less emotionally charged request for support, focusing on the value of journalism without invoking the high stakes of the presidential race.
- 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.