Media Manipulation and Bias Detection
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HonestyMeter - AI powered bias detection
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Prosecution/Accuser
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 shocking or sensational language to provoke interest or excitement at the expense of accuracy.
The article uses phrases like 'bombshell claim', 'shocking police bodycam footage', and 'shockingly lewd messages' to sensationalize the events.
Use neutral language to describe the events without exaggeration.
Avoid using emotionally charged words that do not add factual information.
Use of language that unfairly favors one side over another.
The article describes the teacher's claims as 'oddly enough' and 'confused', which may imply doubt or bias against her.
Present both sides' statements without editorializing or implying doubt.
Use neutral descriptors when recounting events or statements.
Using emotional appeals to sway the audience rather than presenting factual evidence.
The article describes the teacher as 'stunned', 'scared', and 'weeping', which appeals to the reader's emotions.
Focus on factual reporting of events without emphasizing emotional reactions.
Provide balanced coverage of both sides' emotional states if relevant.
- 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.