Media Manipulation and Bias Detection
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HonestyMeter - AI powered bias detection
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Public Safety
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 shocking or exciting language to provoke public interest or excitement.
Phrases like 'Delhi is in a state of shock' and 'heartbreakingly familiar scene' are used to evoke strong emotions.
Use more neutral language to describe the situation, such as 'Delhi is assessing the situation following an explosion.'
Making assumptions or predictions without firm evidence.
The article speculates about the cause of the explosion and the possibility of sabotage without concrete evidence.
Focus on confirmed facts and avoid speculating about the cause until official reports are available.
Using emotional language to persuade or influence the audience.
The article frequently references past tragedies and the emotional impact on the city.
Balance emotional appeals with factual reporting to maintain objectivity.
- 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.