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
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Lanisha Cole
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 use of biased language can influence the reader's perception of the individuals involved.
The commenter wrote, 'Typical black woman, hope you don’t turn her against her real dad because he is a good man, remember you’re one who step out of the relationship.'
Use neutral language when describing individuals to avoid bias.
Focus on the actions and behaviors rather than making generalizations based on race or gender.
The commenter's remark includes a personal attack on Lanisha Cole.
The commenter wrote, 'The nerve of this dust bucket. It probably grinds your gears to see a woman of color being openly treated with love and respect.'
Avoid personal attacks and focus on the topic at hand.
Engage in respectful and constructive dialogue.
- 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.