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 superlatives and dramatic language to enhance the story.
Phrases like 'it’s a marvel to behold', 'screams rang out', and 'the enthusiasm grew wilder' are sensationalistic, aiming to evoke a strong emotional response from the reader.
Suggested Changes
Describe the event in a more neutral tone, avoiding language that overemphasizes the drama of the situation.
Appeal to emotion
Manipulation using emotional responses instead of presenting factual information.
The article uses phrases like 'No better sports town in America. Love my hometown,' and 'What a legend !!! #Eminem this is how we do it,' which are subjective and appeal to the reader's emotions.
Provide more factual information about the event and less subjective commentary.
Unsubstantiated claims
Claims made without providing evidence or sources.
Statements like 'Maybe one of the loudest crowds ever' and 'Such an awesome video. Detroit fans are the best!' are not supported by any objective measurement or source.
Avoid making claims that cannot be substantiated or provide evidence to support such claims.
- 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.