HonestyMeter - AI powered bias detection
CLICK ANY SECTION TO GIVE FEEDBACK, IMPROVE THE REPORT, SHAPE A FAIRER WORLD!
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.
Quoting out of context
Presenting quotes in a way that distorts the original meaning.
The article quotes a source saying the NBA is engaging with Mrs. Jonathan to resolve the matter, but it lacks context on the nature of these engagements and their outcomes.
Suggested Changes
Provide more context on the discussions between the NBA and Mrs. Jonathan.
Include direct quotes from the involved parties to clarify their positions.
Unbalanced reporting
Giving unequal attention to different sides of a story.
The article focuses more on the perspective of the NBA and the detainees, with less emphasis on Patience Jonathan's side.
Include more statements or responses from Patience Jonathan or her representatives.
Ensure equal coverage of all parties involved in the case.
Appeal to emotion
Using emotional stories to sway readers' opinions.
The story about the detainee's divorce and personal struggles is used to evoke sympathy.
Focus on factual reporting of the case without delving into personal stories unless they are directly relevant to the legal proceedings.
- 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.