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 subjective or promotional language that may influence the reader's perception.
Phrases like 'beloved Fitzroy Mexican restaurant', 'exciting new things to try', 'taking the art of being casual very seriously', and 'sun buns are worth waiting for' suggest a promotional tone.
Replace subjective phrases with neutral descriptions, such as 'popular Fitzroy Mexican restaurant', 'new menu items', 'a focus on casual dining', and 'sun buns are popular among customers'.
Using emotional language to persuade the reader.
Statements like 'And we’re all the better because of it' and 'it’s exhilarating to think that this is just the beginning' appeal to the reader's emotions.
Use factual statements instead of emotional appeals, such as 'The restaurant offers a variety of new dishes' and 'The restaurant has plans for future growth'.
- 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.