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!
Victims/Passengers
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 dramatic or emotionally charged presentation to attract attention, sometimes at the expense of nuance.
Headline: "Guatemala: 15 Dead, 19 Injured as passenger bus plunges into Ravine on Inter". The word "plunges" is somewhat dramatic and the headline foregrounds the death toll, which is common in news but can lean slightly toward sensational framing. The body text, however, is factual and restrained.
Use more neutral wording in the headline, e.g., "Guatemala: 15 killed, 19 injured in bus crash on Inter-American Highway".
Avoid verbs with strong dramatic connotations when a neutral alternative exists (e.g., "crash" or "falls" instead of "plunges").
Ensure the headline mirrors the neutral tone of the body text, focusing on what happened, where, and when without added drama.
- 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.