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 exciting or shocking stories at the expense of accuracy, to provoke public interest or excitement.
The article title 'Did xQc kiss his sister on Twitch?' uses sensationalism to attract readers.
Suggested Changes
Change the title to accurately reflect the content of the article, such as 'Clarifying rumors: xQc's viral clip with NYYXXII explained'.
Misleading Headlines
A headline that is not supported by the text of the article or is exaggerated to attract attention.
The headline implies an incestuous act which is not the case, as the article clarifies that the person xQc kissed was his ex-girlfriend, not his sister.
Ensure the headline accurately represents the content of the article.
Appeal to Emotion
Attempting to manipulate an emotional response in place of a valid or compelling argument.
The use of emotionally charged words like 'hysteria' and 'controversies' may influence the reader's feelings without providing substantial information.
Use neutral language to present the facts without appealing to the reader's emotions.
- 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.