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!
Event organizers/administration (District authorities)
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.
Presenting numerical or factual claims without supporting evidence, context, or indication of uncertainty.
1) "more than 4 million devotees took a holy dip in the Ganga and at the Sangam today" 2) "over 220 million devotees attended the festival this year, surpassing the 2013 Kumbh turnout in Prayagraj." These are very large attendance figures presented as precise facts, but the article does not explain how they were measured, whether they are estimates, or whether they have been independently verified.
Clarify that the numbers are estimates and attribute them explicitly: e.g., "According to preliminary estimates by district authorities, more than 4 million devotees..."
Add methodological context: e.g., "The attendance figures are based on crowd estimates compiled from entry-point counts and surveillance data, according to the district administration."
Include any available external or historical comparison with source: e.g., "Official figures released by the district administration state that over 220 million devotees attended the festival, which they say surpasses the reported turnout for the 2013 Kumbh in Prayagraj."
If uncertainty exists, reflect it: e.g., "Authorities estimate that between 3.5 and 4 million devotees took a holy dip..." instead of a single unqualified figure.
Relying on a single type of source or authority without indicating whether other perspectives or verifications exist.
The only source cited is "District Magistrate Manish Kumar Verma" for the total attendance figure and the comparison with the 2013 Kumbh. No independent verification, expert commentary, or alternative data source is mentioned.
Add an independent or secondary source where possible: e.g., "The figures broadly align with estimates from state tourism officials" or note if such data is not yet available.
Explicitly acknowledge the reliance on a single official source: e.g., "As per figures provided by the District Magistrate, which have not yet been independently audited..."
If relevant, mention whether past official estimates have been contested or revised, to provide context on reliability.
- 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.