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
CLICK ANY SECTION TO GIVE FEEDBACK, IMPROVE THE REPORT, SHAPE A FAIRER WORLD!
Social Security beneficiaries
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 sensational language to provoke interest at the expense of accuracy.
The phrase 'fake' claims is presented in a sensational manner, potentially exaggerating the issue without providing substantial evidence.
Provide data to support the claim of 'fake' disabilities or present the statement in a more neutral tone.
Presenting one side of an argument without a counterbalancing perspective.
The article focuses on DeSantis' claims of fraud within the Social Security program without equally presenting the perspective of disability advocates or those who rely on the program.
Include statements or data from disability advocates or experts on Social Security to provide balance.
Claims made without evidence to support them.
DeSantis' assertion of 'a lot of fraud in the program' is presented without providing evidence or data to substantiate the claim.
Provide evidence or data to support the claim of widespread fraud or clarify that it is an opinion.
Language that is partial or prejudiced towards one side.
The use of the term 'fake' to describe disability claims may imply a bias against those claiming disability benefits.
Use neutral language when describing disability claims to avoid implying bias.
- 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.