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!
Elizabeth Warren/Kamala Harris
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 one side over another.
The article uses phrases like 'dinged Trump' and 'chided at a rally' which carry negative connotations.
Replace 'dinged Trump' with 'criticized Trump' to maintain neutrality.
Replace 'chided at a rally' with 'said at a rally' to avoid negative connotations.
Giving more weight or attention to one side over another.
The article provides more detailed arguments and quotes from Elizabeth Warren and Kamala Harris, while the counterarguments from Trump and Republicans are less detailed.
Include more detailed counterarguments from Trump and Republicans to balance the reporting.
Provide additional context or quotes from Republicans to ensure both sides are equally represented.
Using emotional language to sway the audience.
Phrases like 'hand over control of our country to people who shouldn’t be here in the first place' are designed to evoke strong emotions.
Replace emotionally charged language with neutral terms.
Focus on factual statements rather than emotional appeals.
Headlines that do not accurately reflect the content of the article.
The headline suggests that Kamala Harris will work to 'get it done,' which may imply a certainty that is not supported by the content.
Adjust the headline to more accurately reflect the content, such as 'Elizabeth Warren suggests Kamala Harris will advocate for pathway to citizenship.'
- 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.