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.
The use of exciting or shocking stories at the expense of accuracy, in order to provoke public interest or excitement.
The article's title and content suggest a breakup without confirmed evidence, aiming to provoke reader interest.
Provide confirmed information or clearly label the content as speculation.
A headline that is not supported by the content of the article or is exaggerated to attract attention.
The headline suggests a definitive breakup, while the article only discusses rumors and speculations.
Change the headline to reflect the speculative nature of the content, such as 'Rumors of a possible breakup between Timothee Chalamet and Kylie Jenner'.
Claims that are presented without evidence or based on unreliable sources.
The article relies on a 'blind item' from a gossip account and eyewitness accounts without providing solid evidence.
Include statements from reliable sources or clarify the lack of confirmed evidence.
Attempting to manipulate an emotional response in place of a valid or compelling argument.
The article uses phrases like 'acting VERY single' and 'We hope not!' to elicit an emotional response from the reader.
Remove emotionally charged language and present the information in a neutral tone.
- 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.