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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Jada Pinkett Smith
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.
The article uses sensational language to grab attention and create drama.
The article describes the allegations against Will Smith and Duane Martin in a sensationalized manner, using phrases like 'infamous US gossip blogger,' 'described in detail an incident,' and 'intimate with fellow actor.'
Use neutral language to describe the allegations without adding unnecessary drama.
Stick to the facts and avoid exaggeration or sensationalized language.
The headline of the article is misleading and does not accurately represent the content.
The headline suggests that Cardi B is defending Will Smith specifically against gay sex rumors, but the article also includes other allegations and Cardi B's criticism of Tasha K.
Use a more accurate and descriptive headline that reflects the full content of the article.
Avoid clickbait-style headlines that mislead readers.
The article selectively presents information to support a particular narrative.
The article focuses on Cardi B's defense of Will Smith and Jada Pinkett Smith's denial of the allegations, but does not provide a balanced view of the situation or include other perspectives.
Include a wider range of perspectives and information to provide a more balanced view of the situation.
Present all relevant information and let readers form their own opinions.
The article uses language that shows a clear bias towards certain individuals or sides.
The article refers to Will Smith as 'unproblematic' and 'having a nice heart,' while criticizing Tasha K for making false statements about Cardi B.
Use neutral language that does not show favoritism towards any individual or side.
Avoid making subjective judgments about individuals' character or intentions.
The article does not provide a fair and balanced representation of all sides involved.
The article heavily focuses on Cardi B's defense of Will Smith and Jada Pinkett Smith's denial of the allegations, while not giving equal attention to other perspectives or the allegations themselves.
Include a more comprehensive analysis of all sides involved in the controversy.
Give equal weight to different perspectives and ensure all relevant information is presented.
The article leaves out important details or context that could provide a more complete understanding of the situation.
The article mentions Cardi B's history with Tasha K and the lawsuit she won against her, but does not provide any information about the specific allegations made by the ex-employee or the evidence supporting or refuting those allegations.
Include relevant details and context to provide a more complete picture of the situation.
Ensure all important information is included to avoid misleading readers.
- 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.