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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Manisha Rani
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 provokes strong emotions or excitement
The article uses sensationalism in the headline by using phrases like 'OMG!' and 'snake venom case' to grab attention.
Change the headline to a more neutral and informative one.
Using headlines that misrepresent the content of the article
The headline suggests that Faizan Ansari filed an FIR against Manisha Rani regarding Elvish Yadav's snake venom case, but the content of the article does not provide any evidence or details about this connection.
Change the headline to accurately reflect the content of the article.
Selectively choosing data or information that supports a particular viewpoint
The article selectively mentions the accusation against Elvish Yadav and his denial, but does not provide any evidence or counterarguments to support his innocence.
Include a balanced presentation of the accusations against Elvish Yadav and any evidence or counterarguments that support his innocence.
Leaving out important details or facts that may change the interpretation of the article
The article mentions that Faizan Ansari filed an FIR against Manisha Rani, but does not provide any information about the reasons or evidence behind this action.
Include the reasons and evidence behind Faizan Ansari's FIR against Manisha Rani to provide a more complete picture.
Using language that favors one side or viewpoint over others
The article uses biased language by referring to Elvish Yadav as 'accused' and 'drug dealer' without providing any evidence or legal verdict.
Use neutral language when referring to individuals involved in the case and provide evidence or legal verdicts to support any claims.
Presenting information in a way that favors one side or viewpoint over others
The article focuses more on the accusations against Elvish Yadav and does not provide equal attention to his denial or any evidence that supports his innocence.
Provide a balanced presentation of the accusations against Elvish Yadav and any evidence or counterarguments that support his innocence.
Making statements or claims without providing evidence or sources
The article makes claims about Elvish Yadav's illegal activities and Manisha Rani's involvement without providing any evidence or sources to support these claims.
Provide evidence or sources to support any claims made in the article.
- 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.