Media Manipulation and Bias Detection
Auto-Improving with AI and User Feedback
HonestyMeter - AI powered bias detection
CLICK ANY SECTION TO GIVE FEEDBACK, IMPROVE THE REPORT, SHAPE A FAIRER WORLD!
None
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.
Use of sensational language to evoke strong emotions or to create a dramatic effect.
The article uses phrases like 'massive indoor and outdoor space', 'very cool stilt walkers and jugglers', and 'ridiculously juicy patty' which add a sensational tone to the descriptions.
Use more neutral language to describe the events and settings, such as 'large indoor and outdoor space', 'entertaining stilt walkers and jugglers', and 'very juicy patty'.
Attempting to manipulate an emotional response in place of a valid or compelling argument.
The article appeals to emotions with descriptions like 'our hearts were content' and 'it had truly been a wild Super Bowl weekend in Vegas', which may not reflect the experience of all attendees.
Provide a more balanced view by acknowledging that experiences may vary and by including any negative aspects or criticisms from attendees.
Using personal experiences or isolated examples instead of a sound argument or compelling evidence.
The article relies heavily on the author's personal experiences and interactions, such as 'our access was extremely limited' and 'our favorite was the melt-in-your-mouth Motley Que slider'.
Include a broader range of experiences from different attendees to provide a more representative overview of the events.
Reducing complex issues to simple terms or ignoring complicating factors.
The article simplifies the value of the events by focusing on the author's positive experiences without considering the complexity of event organization and attendee diversity.
Acknowledge the complexity of event planning and the varied expectations and experiences of attendees.
- 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.