Media Manipulation and Bias Detection
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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.
The use of exciting or shocking stories at the expense of accuracy, to provoke public interest or excitement.
The article's title and content suggest a 'shade' or feud between Selena Gomez and Hailey Bieber based on fan speculations and interpretations of social media posts.
Reframe the title to reflect the speculative nature of the content, such as 'Fans speculate on possible indirect messages between Selena Gomez and Hailey Bieber'.
Headlines that do not accurately reflect the content of the article or are exaggerated to attract readers' attention.
The headline suggests that Selena Gomez definitely shaded Hailey Bieber, which is not a confirmed fact but rather an interpretation by some fans.
Ensure the headline accurately reflects the speculative nature of the content.
Taking quotes out of their original context in a way that changes their meaning or presents them in a misleading light.
The article quotes social media posts and comments that may not provide the full context of the individuals' intentions or the situation.
Provide more context for the quotes used, including the broader conversation or events surrounding them.
Using language that is not neutral and shows a particular preference or prejudice.
Phrases like 'the boy is hers in a way' and 'Hailey has been shady towards Selena' show a lack of neutrality and suggest taking sides.
Use neutral language that does not imply judgment or take sides.
Attempting to manipulate an emotional response in place of a valid or compelling argument.
The article plays on the emotions of fans by highlighting a supposed feud and using emotionally charged language.
Focus on factual reporting and avoid language that is designed to elicit an emotional response.
- 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.