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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Pro-Palestine
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 language that favors one side over another.
The article uses terms like 'genocide' and 'starvation' to describe the situation in Gaza, which are strong and emotionally charged terms.
Use more neutral language to describe the situation, such as 'conflict' or 'humanitarian crisis'.
Using emotionally charged language to sway readers' opinions.
The article describes the rally as a 'powerful message' and includes 'stunning photos' of the event, which can evoke strong emotional responses.
Focus on factual reporting of the event without using emotionally charged descriptors.
Providing more coverage or a more favorable portrayal of one side over another.
The article provides more detailed coverage of the pro-Palestine perspective and less on the police and Israeli government's viewpoints.
Include more detailed perspectives from the police and Israeli government to provide a balanced view.
Exaggerating or sensationalizing events to attract attention.
The article mentions 'huge rally' and 'global headlines' which can be seen as sensationalizing the event.
Report on the size and impact of the rally with precise numbers and context without exaggeration.
- 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.