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!
Government/Commerce and Industry Ministry data
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.
Leaving out relevant contextual or comparative information that could help readers fully understand the data.
The article reports that the combined Index of Eight Core Industries increased by 1.8% and then lists growth for Coal, Fertilizer, Cement, and Steel, and declines for Crude Oil and Natural Gas. However, it does not mention the performance of Refinery Products and Electricity, even though they are part of the eight core industries and are named later in the explanatory paragraph.
Add the missing data for Refinery Products and Electricity, for example: "Refinery Products production changed by X% and Electricity generation changed by Y% in November this year as compared to the same month last year."
If the data for Refinery Products and Electricity are not available, explicitly state this: "Data for Refinery Products and Electricity for November were not available at the time of this report."
Provide brief context for the 1.8% overall increase, such as comparison with the previous month or with a multi-year average, to give readers a clearer sense of whether this change is relatively strong, weak, or typical.
- 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.