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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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 is intended to provoke excitement, shock, or interest.
The article uses sensationalism by stating that Elon Musk's X may lose up to $75M by year-end on advertiser exodus. This creates a sense of urgency and alarm.
Present the information in a more neutral and objective manner, without exaggeration.
Using a headline that does not accurately reflect the content of the article.
The headline suggests that Elon Musk's X will lose $75M by year-end solely due to advertiser exodus, while the article mentions other factors such as Musk backing an antisemitic post and reduced content moderation.
Use a headline that accurately reflects the content of the article.
Selectively choosing data or evidence that supports a particular viewpoint while ignoring contradictory data or evidence.
The article cherry-picks data by mentioning major brands pausing their marketing campaigns on X, but does not provide information on the overall advertising revenue or the number of advertisers on the platform.
Provide a more comprehensive analysis of the advertising revenue and the number of advertisers on X.
Leaving out important details or facts that may provide a more balanced or accurate representation of the situation.
The article omits key information such as the reasons behind Musk backing an antisemitic post, the specific allegations made by Media Matters, and the response from X regarding the lawsuit.
Include relevant details and perspectives to provide a more complete picture of the situation.
Using language that favors one side or viewpoint over another.
The article uses biased language by referring to X as 'Musk-owned social media company' instead of using its official name. This can create a negative perception of the platform.
Use neutral language to refer to X.
Presenting information in a way that favors one side or viewpoint over another.
The article focuses more on the advertisers pausing their campaigns and the negative impact on X's revenue, while providing limited information on the reasons behind Musk backing an antisemitic post and the allegations made by Media Matters.
Provide a more balanced representation of the perspectives and actions of both X and the advertisers.
- 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.