Media Manipulation and Bias Detection
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HonestyMeter - AI powered bias detection
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Michelle Obama
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.
Exaggerating or sensationalizing events to attract attention.
The headline 'Michelle Obama slammed for promoting products ahead of Fourth of July in 'strange' new move' uses sensational language to attract attention. The use of 'slammed' and 'strange' exaggerates the situation.
Use a more neutral headline such as 'Michelle Obama Promotes Hydration Products Ahead of Fourth of July'.
Using language that unfairly favors one side over another.
The article uses terms like 'baffled', 'useless', and 'perturbed' to describe reactions to Michelle Obama's promotion, which can imply a negative bias.
Use neutral language such as 'Michelle Obama promotes hydration products, receiving mixed reactions from followers.'
- 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.