Media Manipulation and Bias Detection
Auto-Improving with AI and User Feedback
HonestyMeter - AI powered bias detection
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David Wootton
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 article uses sensational language to provoke strong emotions and create controversy.
The article refers to the person who dressed as the bomber as a 'Wazzock' and highlights the controversy surrounding his costume.
Use neutral language to describe the situation without exaggeration.
The article uses biased language that favors the person who dressed as the bomber.
The article refers to the person who dressed as the bomber as a 'bloke' and presents his perspective without sufficient criticism.
Use neutral language to describe the individuals involved and present both perspectives without favoring one over the other.
The article fails to provide important context and information about the Manchester Arena bombing and its impact.
The article briefly mentions the bombing but does not provide details about the severity of the attack and the loss of innocent lives.
Include more information about the Manchester Arena bombing, its victims, and the emotional impact it had on the community.
- 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.