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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Inter Miami
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.
Use of exciting or shocking stories at the expense of accuracy, to provoke public interest or excitement.
The headline suggests that MLS might bend rules specifically for Lionel Messi, which sensationalizes the situation without providing concrete evidence.
Use a more neutral headline that reflects the content of the article without implying favoritism.
Headlines that do not accurately reflect the content of the article.
The headline implies that MLS has previously bent rules for Messi and might do so again, which is not substantiated within the article.
Ensure the headline accurately reflects the content and claims made in the article.
Use of language that is not neutral and shows author's preferences.
Phrases like 'bent over backwards' and 'gone mad for Messi' indicate a positive bias towards Messi's impact on the league.
Use neutral language to describe the league's actions and the public's reaction.
Reporting that disproportionately covers one viewpoint or one side of an issue.
The article focuses heavily on the positive impact of Messi and the potential for MLS to bend rules, without equally presenting the perspective of those who may be critical of such actions.
Include more viewpoints from different stakeholders within MLS to provide a balanced perspective.
Choosing sources that support one side of an argument while ignoring others.
The article quotes an unnamed MLS executive and Bruce Arena, who are supportive of Messi's impact, but does not include any sources that might offer a critical view of the situation.
Incorporate sources that offer differing viewpoints to provide a more balanced report.
Claims made without evidence to support them.
The article claims that MLS 'bent over backwards' to get Messi and that his impact justifies their actions, without providing evidence for these claims.
Provide evidence or data to support claims made about the league's actions and Messi's impact.
Using the opinion of an authority figure in place of a logical argument.
Bruce Arena's positive comments about Messi's impact are used to support the narrative without critically examining the situation.
Rather than relying on an authority's opinion, present a logical argument supported by data.
- 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.