Media Manipulation and Bias Detection
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HonestyMeter - AI powered bias detection
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Vietnamese leadership / National Assembly & Party
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.
Relying on the status or titles of individuals to lend weight or importance to the content, rather than providing substantive information or analysis.
The text repeatedly states: "Uỷ viên Bộ Chính trị, Bí thư Đảng Uỷ Quốc hội, Chủ tịch Quốc hội Trần Thanh Mẫn dự Hội nghị..." and this entire sentence is duplicated many times. The focus is almost entirely on the high-ranking titles and the fact of attendance, without additional context about the content or significance of the conference.
Reduce repetition of the full list of titles; mention the official’s role once, then use a shorter reference such as "Chủ tịch Quốc hội Trần Thanh Mẫn" in subsequent mentions.
Add neutral, substantive information about the conference itself (agenda, key topics, decisions, outcomes) so that the article is not centered solely on the presence of a high-ranking official.
Clarify why the event matters in terms of policy or public impact, using factual description instead of relying on the prestige of the attendee to imply importance.
- 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.