Media Manipulation and Bias Detection
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HonestyMeter - AI powered bias detection
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Hugh O'Donnell
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 events to attract attention.
The article uses dramatic language such as 'gangland vendetta', 'relentless series of cowardly, late-night attacks', and 'tormented by a relentless series of cowardly, late-night attacks'.
Use more neutral language to describe the events.
Avoid using emotionally charged words that may exaggerate the situation.
Using emotional language to influence the audience's feelings.
Statements like 'locals experiencing a constant threat of fires' and 'the grim remains of the business has cast a shadow over the village centre' are designed to evoke fear and sympathy.
Present factual information without emotional language.
Focus on the impact of the events with data or direct quotes from affected individuals.
Giving more weight to one side of the story.
The article heavily focuses on Hugh O'Donnell's perspective and past, with less emphasis on the police's efforts and challenges.
Include more information about police actions and statements.
Provide a balanced view by giving equal space to both sides.
- 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.