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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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 dramatic language to enhance the emotional impact of the story.
The title 'Kid Cudi Explains How His And Kanye West’s Beef Was Put To Bed With A ‘Rare And Sincere’ Apology' uses sensational language by describing the apology as 'rare and sincere', which may not be necessary for the factual reporting of the event.
Use a more neutral title such as 'Kid Cudi Discusses Reconciliation with Kanye West and Apology'
Language that implies a judgment or takes a side.
The phrase 'Kanye does not apologize to anybody and say sorry to anyone' implies a judgment about Kanye West's character, which may not be necessary for the factual reporting of the event.
Rephrase to 'Kid Cudi noted the rarity of Kanye West issuing apologies'
- 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.