Media Manipulation and Bias Detection
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HonestyMeter - AI powered bias detection
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Viewers
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.
The article uses exaggerated language to create excitement or interest.
The article describes the woman as 'howling with laughter' and the viewers as 'left open-mouthed'.
Use more neutral language to describe emotions.
Avoid exaggerations and stick to factual descriptions.
The article selectively presents information that supports a particular viewpoint.
The article only includes comments from viewers who agree that the kitten looks like Ed Sheeran.
Include a range of viewer opinions, both positive and negative.
Provide a more balanced representation of viewer comments.
The article uses language that favors one side or viewpoint over others.
The article refers to the kitten as 'adorable' and the viewers as 'left open-mouthed'.
Use neutral language to describe the kitten and the viewers.
Avoid using language that implies a particular opinion or reaction.
- 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.