Media Manipulation and Bias Detection
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HonestyMeter - AI powered bias detection
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Justin Thomas
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 language that leans towards a particular perspective or opinion.
Phrases like 'Justin Thomas' emotional message for Team USA' and 'Thomas as the “heartbeat” of the team' suggest a subjective view of Thomas's role and emotional state.
Replace 'emotional message' with 'message' to maintain neutrality.
Avoid using terms like 'heartbeat' unless directly quoting someone, and provide context for such statements.
Using emotional language to sway readers' opinions.
The article uses phrases like 'My brothers. One team. One heartbeat.' to evoke an emotional response.
Present the message as a straightforward statement without emotional embellishment.
Focus on factual details about Thomas's selection and performance.
- 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.