Media Manipulation and Bias Detection
Auto-Improving with AI and User Feedback
HonestyMeter - AI powered bias detection
CLICK ANY SECTION TO GIVE FEEDBACK, IMPROVE THE REPORT, SHAPE A FAIRER WORLD!
Trump
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.
Claims made without evidence or confirmation.
The article states, 'Trump said in May that a group of purchasers was ready to pay ByteDance “a lot of money” for TikTok’s US operations.' This claim lacks specific details or evidence to support it.
Provide specific details or evidence about the purchasers and the amount of money involved.
Include statements or confirmations from the alleged purchasers.
Language that shows a preference or bias towards a particular side.
The article mentions, 'Trump had long supported a ban or divestment, he reversed his position and vowed to defend the platform.' The use of 'vowed to defend' suggests a positive action without providing context or evidence.
Use neutral language such as 'expressed support for the platform' instead of 'vowed to defend.'
Provide context or evidence for the change in position.
- 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.