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 title of the article and certain phrases within the text, such as 'The Greatest Love Story Never Told' and 'crumbled under the pressure', are sensationalized to attract readers' attention.
Use a more neutral title and avoid phrases that dramatize the situation.
Attempting to manipulate an emotional response in place of a valid or compelling argument.
The article discusses personal and emotional aspects of Jennifer Lopez's and Ben Affleck's relationship, which may lead readers to respond emotionally rather than focusing on factual content.
Provide a more balanced view that includes factual information without emphasizing the emotional aspects.
- 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.