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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Gauahar Khan
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.
Using exciting or shocking language to provoke public interest.
The title 'Gauahar Khan slams Amaal, calls him 'dogla'' and phrases like 'fiery confrontation' and 'to hell with Bigg Boss' are sensationalist.
Use neutral language in the title and throughout the article.
Avoid using phrases that exaggerate the situation.
Using language that unfairly favors one side over another.
The article uses terms like 'two-faced behavior' and 'dogla' to describe Amaal Mallik, which are biased.
Use neutral descriptions of behavior without derogatory terms.
Present both sides of the argument with equal weight.
Making claims without providing evidence.
Amaal Mallik's claims about having information that could ruin Darbar's personal life are not backed by evidence.
Provide evidence or sources for claims made.
Avoid including claims that cannot be substantiated.
- 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.