Media Manipulation and Bias Detection
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HonestyMeter - AI powered bias detection
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Irish Government
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 leans towards one side, potentially influencing the reader's perception.
The article describes the sentences as 'unduly lenient' and mentions the 'great upset and insult to the Rooney family,' which reflects the Irish Government's perspective.
Use neutral language to describe the sentences, such as 'The Irish Government has expressed concerns over the leniency of the sentences.'
Avoid emotionally charged phrases like 'great upset and insult' and instead state, 'The sentences have been a point of contention for the Rooney family.'
Using emotional language to sway the reader's opinion.
The article highlights the emotional impact on the Rooney family and the Irish Government's disappointment.
Focus on the factual aspects of the appeal process and the legal steps being taken.
Include statements from both sides to provide a balanced view 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.