Media Manipulation and Bias Detection
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HonestyMeter - AI powered bias detection
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Social Media Users
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 language that unfairly favors one side over another.
Phrases like 'unhealthy obsession' and 'manipulative strategy' suggest a negative bias towards those using engagement farming tactics.
Use neutral language to describe the actions of engagement farmers, such as 'frequent promotion' instead of 'unhealthy obsession'.
Describe the strategy without using emotionally charged words, e.g., 'a strategy designed to increase visibility' instead of 'manipulative strategy'.
Making claims without providing evidence to support them.
The article claims that engaging with posts may attract unwelcome direct messages from scammers without providing specific examples or evidence.
Provide examples or evidence of instances where engaging with such posts led to unwelcome direct messages.
Clarify that this is a potential risk rather than a guaranteed outcome.
- 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.