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
Use of exciting or shocking stories at the expense of accuracy, to provoke public interest or excitement.
The article uses phrases like 'the sweetest', 'S'cute!', and 'Obsessed!' which sensationalize the relationship.
Suggested Changes
Use neutral language to describe the relationship timeline.
Appeal to emotion
Attempting to induce an emotional response in the audience, often as a way to bypass rational consideration of the topic.
The article uses emotive language such as 'hopeless romantics', 'gushing caption', and 'legit made us weep' to evoke an emotional response from the reader.
Present the relationship timeline without emotive language.
Biased language
Language that is skewed towards a particular conclusion or point of view.
The article uses biased language like 'the beautifulest, the flyest, the sweetest' and 'adorable relationship' which shows a clear positive bias towards the subjects.
Use neutral descriptors when referring to the individuals and their relationship.
- 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.