Media Manipulation and Bias Detection
Auto-Improving with AI and User Feedback
- Objectivity Score
- Objectivity Score
- Objectivity Score
- Objectivity Score
- Objectivity Score
- Objectivity Score
Media Manipulation and Bias Detection
Auto-Improving with AI and User Feedback
HonestyMeter - AI powered bias detection
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Winning teams (Greenwich, Brahmakunj, Nexus, Shramshil, Gateway Academy)
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.
Giving more space or detail to one side than another, which can create a subtle impression of greater importance or value.
The article lists the winning teams, their scorers, and the exact scores: e.g., "ग्रिनविचले बोधीसदनलाई १–० गोलले पराजित गर्यो । ग्रिनविचका दीक्षित थापाले विजयी गोल गोल गरे ।" Losing teams are mentioned only as opponents and their performance is not described beyond the final score.
Add brief, factual information about the losing teams’ performance where relevant (e.g., key chances missed, strong defensive play) without evaluative language.
Clarify that the purpose of the piece is to report results, so the focus is on winners and scores, not detailed analysis of each team.
Ensure that when highlighting individual players (e.g., goal scorers), this is done consistently for all decisive contributions where information is available, regardless of team.
- 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.