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 X could lose up to USD 75 million due to the chaos caused by Elon Musk's posts. This statement is meant to grab attention and create a sense of urgency.
Present the potential loss of X in a more neutral and factual manner without using sensational language.
Using headlines that are intentionally deceptive or do not accurately reflect the content of the article.
The headline suggests that X will lose up to USD 75 million solely due to Elon Musk's posts, but the article later mentions that the loss is a result of the pause in advertising campaigns by numerous brands.
Use a headline that accurately reflects the content of the article and does not mislead readers.
Selectively choosing data or information that supports a particular viewpoint while ignoring contradictory data or information.
The article selectively mentions brands that have paused their advertising on X, but does not provide a balanced view of brands that continue to advertise on the platform.
Include information about brands that continue to advertise on X to provide a more balanced view.
Leaving out important details or information that could provide a more complete understanding of the topic.
The article mentions that the advertising industry in the United States has declined by almost 60% this year, but does not provide any context or explanation for this decline.
Provide context or explanation for the decline in the advertising industry to give readers a more complete understanding of the situation.
Using language that favors one side or viewpoint over others.
The article uses biased language by referring to Elon Musk's posts as 'conspiratorial' and 'antisemitic' without providing evidence or a balanced perspective.
Use neutral language when describing Elon Musk's posts and provide a balanced perspective by including different viewpoints.
Presenting information in a way that favors one side or viewpoint over others.
The article focuses on the potential loss of X and the negative impact of Elon Musk's posts, but does not provide a balanced view of the situation or include any positive aspects.
Include a balanced view of the situation by presenting both the potential negative impact and any positive aspects related to X and Elon Musk's posts.
Using the opinion or endorsement of an authority figure to support a claim or argument.
The article mentions that The New York Times reported the potential loss of X, which can be seen as an appeal to authority to support the claim.
Provide additional evidence or sources to support the claim of potential loss for X.
- 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.