Media Manipulation and Bias Detection
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HonestyMeter - AI powered bias detection
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Department of Personnel & Training
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 promotes a particular viewpoint or agenda.
Phrases like 'enthusiastic participation' and 'committed to achieve the targets' suggest a promotional tone rather than a neutral report.
Replace promotional phrases with neutral descriptions, such as 'participation was observed' and 'the department aims to achieve the targets'.
Leaving out important details that could provide a more balanced view.
The article does not mention any challenges or criticisms related to the campaign, which could provide a more balanced perspective.
Include potential challenges faced during the campaign or any criticisms to provide a more comprehensive view.
- 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.