Media Manipulation and Bias Detection
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HonestyMeter - AI powered bias detection
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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 superlatives and dramatic language to exaggerate the significance of the records.
Phrases like 'most unbreakable records', 'unlikely to ever be broken', and 'seemingly unreachable' contribute to a sensationalist tone.
Use more neutral language to describe the records, such as 'significant' or 'notable' instead of 'unbreakable'.
Language that is designed to evoke an emotional response rather than presenting information objectively.
The article uses emotive language such as 'great misfortune of competing at the same time as Biles' to evoke a sense of awe and sympathy.
Present the information in a more neutral tone, focusing on the facts without emotional embellishment.
Leaving out important details that could provide a more complete picture of the topic.
The article does not provide context on the changing nature of sports, advancements in training, or the possibility of future athletes breaking these records.
Include information on how sports science and training methods evolve over time, which could impact the likelihood of records being broken.
- 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.