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.
Sensationalism
Use of shocking details to provoke interest.
The article uses sensational language to describe the actions of Hamas, such as 'raped women, tortured and murdered children,' which is designed to provoke a strong emotional response rather than provide an objective account.
Suggested Changes
Provide verified sources for claims, avoid emotionally charged language.
Biased language
Language that is partial or prejudiced.
The article uses biased language to describe President Biden's actions as 'cynical, opportunistic and counterproductive,' without providing evidence to support these characterizations.
Use neutral language and provide evidence for any critical assessments.
Unsubstantiated claims
Claims made without evidence.
The article makes claims about the actions of Hamas and the intentions of President Biden without providing evidence, such as 'This is a demand that Israel appease Hamas at the negotiating table.'
Provide evidence or sources for claims made.
Appeal to emotion
Manipulating an emotional response in place of a valid or compelling argument.
The article appeals to emotion by using phrases like 'the worst day for world Jewry since the Holocaust,' which may distract from a rational discussion of the issues at hand.
Focus on factual reporting and logical argumentation.
Cherry-picking data
Selecting evidence that supports one's argument while ignoring evidence that contradicts it.
The article selectively presents information that portrays Israel in a positive light and President Biden in a negative light, without acknowledging any complexity or nuance in the situation.
Present a balanced view that includes evidence from both sides of the issue.
False equivalence
Drawing an equivalence between two subjects based on flawed or false reasoning.
The article implies a false equivalence between the actions of Hamas and the response of President Biden, suggesting that Biden's call for a cease-fire is equivalent to supporting Hamas, without acknowledging the legitimate reasons for seeking a cease-fire.
Clarify the distinct motivations and actions of each party involved.
Confirmation bias
The tendency to search for, interpret, favor, and recall information in a way that confirms one's preexisting beliefs or hypotheses.
The article displays confirmation bias by only presenting information that supports the author's negative view of President Biden and positive view of Israel.
Include information that may challenge or offer a different perspective on the author's views.
- 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.