Media Manipulation and Bias Detection
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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.
Presenting information in a way that is intended to provoke excitement, shock, or interest.
The article uses sensationalism by describing the bodyguard's decision to join the IDF reserves as 'Brave!' and emphasizing the deadly attacks of Hamas on Israelis.
Remove sensational language and present the information objectively.
Using language that favors one side or presents a subjective viewpoint.
The article uses biased language by referring to Hamas attacks as 'horrifying' and describing the bodyguard's decision as 'fighting for his country'.
Use neutral language to describe the events and avoid favoring one side over the other.
Using emotional language or stories to manipulate the reader's feelings.
The article appeals to emotion by describing the attacks as 'slaughtering and burning alive' and using phrases like 'stand with HUMANITY!!!!!'
Present the facts without emotional language and focus on providing objective information.
- 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.