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!
Sliwa
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.
Using language that unfairly favors or disfavors a particular side.
Phrases like 'Mamdani is running on a set of beliefs that are antithetical to New York City' and 'Cuomo’s audacity to even think about running' show clear bias.
Use neutral language to describe each candidate's policies and actions.
Attacking a person's character rather than addressing the argument.
Statements like 'They are all delusional, selfish individuals' and 'Will the moron Democrats in New York City ever wake up?' are personal attacks.
Focus on the policies and actions of the candidates rather than personal attacks.
Making claims without providing evidence.
Claims such as 'Mamdani wants to give away everything for free and defund the police' are not supported with evidence.
Provide evidence or sources to support claims made about candidates' policies.
Selecting data that supports a particular view while ignoring data that contradicts it.
The article highlights negative aspects of Mamdani and Cuomo while ignoring any positive aspects or achievements.
Include a balanced view by presenting both positive and negative aspects of each candidate.
- 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.