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, often at the expense of accuracy.
The article uses sensational language such as 'Taylor-made' and 'bad boys' to describe the bracelets, which adds unnecessary hype and exaggeration to the collaboration.
Use more neutral language to describe the bracelets and the collaboration.
Creating headlines that do not accurately reflect the content of the article.
The headline suggests that Dunkin' is collaborating with Taylor Swift, which is misleading as the article clarifies that it is a collaboration with Little Words Project.
Use a headline that accurately reflects the content of the article, such as 'Dunkin' collaborates with Little Words Project for coffee-inspired bracelets'.
Selectively choosing data or information that supports a particular viewpoint while ignoring contradictory data or information.
The article focuses on the speculation and rumors about a collaboration with Taylor Swift, but fails to provide more information about the actual collaboration between Dunkin' and Little Words Project.
Provide more information about the collaboration between Dunkin' and Little Words Project to give a more balanced perspective.
Leaving out important details or information that could provide a more complete understanding of the topic.
The article does not mention the specific details of the collaboration, such as the duration or the goals of the partnership.
Include more specific details about the collaboration between Dunkin' and Little Words Project to provide a more comprehensive view.
Using language that favors one side or viewpoint over another.
The article uses biased language such as 'Swifties' and 'bad boys' to describe the audience and the bracelets, which can create a negative or positive connotation depending on the reader's perspective.
Use more neutral language to avoid favoring one side or viewpoint.
- 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.