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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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 exciting or shocking stories at the expense of accuracy, to provoke public interest or excitement.
The title 'Inside J-Lo bonkers new self-funded $20m ‘sci-fi rom-com’ movie that even Ben Affleck reckons is weird' uses sensational language to attract attention.
Use a more neutral title that accurately reflects the content of the article.
Headlines that do not accurately reflect the content of the article.
The headline suggests a focus on Ben Affleck's opinion, but the article is more about Jennifer Lopez's project and its background.
Adjust the headline to better summarize the article's content.
Language that is partial or prejudiced towards particular views, people, or groups.
Phrases like 'bonkers new self-funded $20m ‘sci-fi rom-com’' and 'bizarre movie' carry a negative connotation and bias the reader.
Use neutral descriptors for the movie and avoid language that implies judgment.
Claims that are made without evidence to support them.
The article makes claims about the quality and reception of the movie without providing evidence, such as 'One slammed it as not funny enough to be a “camp classic”'.
Provide evidence or sources for claims about the movie's reception.
- 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.