Media Manipulation and Bias Detection
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HonestyMeter - AI powered bias detection
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Organizers (Bộ Công Thương, UBND tỉnh An Giang, Diễn đàn)
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 evaluative information that could help readers fully understand the subject.
The article only states that a conference was held to summarize a 5‑year program on border trade infrastructure, without mentioning any results, challenges, criticisms, or impacts on local communities or businesses. This is more an incompleteness than an active manipulation, but it does limit the reader’s understanding.
Add brief, balanced information on the main outcomes of the 5‑year Chương trình phát triển hạ tầng thương mại biên giới (e.g., completed projects, trade volume changes, budget used).
Include any significant challenges or shortcomings mentioned at the hội nghị, if available, to avoid an overly one‑sided, purely formal description.
Mention perspectives of other stakeholders (doanh nghiệp, cư dân địa phương, chuyên gia) if they were part of the event, summarizing both positive and critical views in neutral language.
- 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.