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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Sheinbaum
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.
Exaggerating or sensationalizing events to attract attention.
The article uses phrases like 'Bots, Billionaires Behind Gen Z March' and '8 million bots operating from outside the country' which sensationalize the involvement of external forces without substantial evidence.
Provide evidence or data to support the claim of '8 million bots'.
Use more neutral language to describe the involvement of external forces.
Making claims without providing evidence.
The article claims that the march is financed by right-wing politicians and business leaders without providing concrete evidence or sources.
Include statements or evidence from credible sources to support the claims.
Avoid making claims without backing them up with evidence.
Using language that shows a bias towards one side.
The article uses terms like 'right-wing politicians' and 'business leaders who oppose her government' which can imply bias against these groups.
Use neutral language when describing political affiliations or business leaders.
Avoid language that implies bias or judgment.
- 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.