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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Public Opinion
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 exciting or shocking stories at the expense of accuracy, in order to provoke public interest or excitement.
The article uses sensational language to describe the dating rumors, such as 'dating gossip... continues to heat up' and 'fans are starting to compare this to Draya Michele & Jalen Green'.
Present the information in a neutral tone without implying heightened drama or scandal.
Statements that are intended to deceive or mislead the reader.
The article implies a connection between Drake and Brooklyn based on a song lyric and social media activity without providing concrete evidence of a relationship.
Clarify that the relationship is speculative and not confirmed.
Attempting to manipulate an emotional response in place of a valid or compelling argument.
The article appeals to emotions by highlighting the age gap and public disgust, as well as including user comments that evoke strong feelings about the situation.
Stick to factual reporting and avoid including emotionally charged language or comments.
Language that is biased or contains a partial perspective.
The use of phrases like 'quite disgusted with Drake' and 'obsession with younger girls' suggests a negative bias against Drake.
Use neutral language that does not imply judgment or 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.