Media Manipulation and Bias Detection
Auto-Improving with AI and User Feedback
- Objectivity Score
- Objectivity Score
- Objectivity Score
- Objectivity Score
- Objectivity Score
- Objectivity Score
Media Manipulation and Bias Detection
Auto-Improving with AI and User Feedback
HonestyMeter - AI powered bias detection
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Education Minister Fadhlina Sidek
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.
Exaggerating or sensationalizing information to attract attention.
The phrase 'sought to soften' implies a dramatic action that may not accurately reflect the minister's intentions.
Use more neutral language such as 'addressed' or 'responded to' instead of 'sought to soften'.
Leaving out important details that are necessary for understanding the full context.
The article does not provide details on what the Education Ministry director-general actually said or the context of his remarks.
Include a direct quote or a summary of Azam Ahmad's remarks to provide full context.
Using language that unfairly favors one side over another.
The use of the word 'sought' suggests an attempt to manipulate or control the narrative.
Replace 'sought to soften' with 'clarified' to maintain neutrality.
- 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.