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!
Donald 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.
The article contains biased language that favors Donald Trump.
The article uses phrases such as 'hit out at' and 'condemned Trump's racist and dangerous remarks' to portray Letitia James in a negative light.
Use neutral language to describe the actions and statements of both Letitia James and Donald Trump.
The article uses sensational language to create drama and attract attention.
Phrases such as 'showdown' and 'the Donald Trump show is over' contribute to the sensational tone of the article.
Use neutral language to describe the events and proceedings.
The article omits important details that could provide a more balanced perspective.
The article does not provide information about the specific allegations made by Letitia James and the evidence supporting them.
Include a summary of the allegations made by Letitia James and any evidence presented in the trial.
- 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.