Media Manipulation and Bias Detection
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HonestyMeter - AI powered bias detection
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Cuomo
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 'Trump accused of secretly hoping socialist Mamdani WINS NYC mayoral election after giving kiss-of-death endorsement to liberal rival Cuomo' is sensational and implies a conspiracy without evidence.
Use a more neutral headline that accurately reflects the content of the article without implying unsubstantiated motives.
Using language that unfairly favors one side over another.
Terms like 'kiss-of-death endorsement' and 'poisoned chalice' are loaded and suggest a negative connotation towards Trump's endorsement.
Replace biased terms with neutral language, such as 'controversial endorsement' or 'unexpected endorsement'.
Making claims without providing evidence or support.
The article suggests that Trump secretly wants Mamdani to win without providing concrete evidence to support this claim.
Provide evidence or sources to support claims about Trump's intentions, or clearly state that these are opinions or speculations.
- 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.