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
The article uses sensational language to create excitement and interest.
The article describes the meeting between Daler Mehndi and IShowSpeed as a 'much-anticipated yet unlikeliest of collabs' and mentions that the video has gone viral.
Suggested Changes
Use more neutral language to describe the meeting and the popularity of the video.
Cherry-picking data
The article selectively focuses on positive aspects of the meeting and collaboration.
The article highlights the positive reactions of both Daler Mehndi and IShowSpeed to each other's songs and mentions that IShowSpeed is a fan of the Punjabi party track.
Provide a more balanced view by including any potential challenges or criticisms of the collaboration.
Clickbait
The article uses clickbait techniques to attract readers.
The article includes phrases such as 'Exciting news!' and 'Click here!' to encourage readers to engage with the content.
Avoid using clickbait techniques and focus on providing informative and objective content.
- 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.