Media Manipulation and Bias Detection
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HonestyMeter - AI powered bias detection
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Korumburra Community
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.
The use of exciting or shocking stories at the expense of accuracy, in order to provoke public interest or excitement.
The phrase 'Erin Patterson's mushroom murders' and the description of the trial causing a 'massive stir globally' contribute to sensationalism.
Use a more neutral phrase like 'the case involving Erin Patterson' instead of 'Erin Patterson's mushroom murders'.
Focus on the facts of the trial and its outcome without emphasizing the global attention it received.
Manipulating an emotional response in place of a valid or compelling argument.
The description of the community's mood as 'gloomy' and the quote about the grieving process appeal to the reader's emotions.
Provide more factual information about the community's response without focusing on emotional descriptions.
Include quotes or statements from community members that focus on factual aspects of the situation.
- 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.