Media Manipulation and Bias Detection
Auto-Improving with AI and User Feedback
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.
Using exciting or shocking language at the expense of accuracy to provoke public interest.
The article includes details about Ashley Biden's Instagram posts and emotional quotes from Joe Biden, which are not directly relevant to the factual reporting of the divorce.
Focus on the factual aspects of the divorce filing without including emotional or sensational details.
Remove or minimize the emphasis on personal anecdotes and emotional quotes that do not contribute to the main news.
Using emotional language or anecdotes to influence the audience's feelings.
The article quotes Joe Biden's emotional statements about his daughter's wedding, which may evoke sympathy or emotional responses from readers.
Limit the use of emotional quotes and focus on the factual aspects of the story.
Provide a balanced view by including perspectives from both parties involved in the divorce.
- 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.