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Hong Kong Construction Association Launches Industry-First Best Practice Guideline for Carbon Smart Construction Site - Newspatrolling.com

  • Bias Rating
  • Reliability

    50% ReliableAverage

  • Policy Leaning

    14% Somewhat Right

  • Politician Portrayal

    N/A

Bias Score Analysis

The A.I. bias rating includes policy and politician portrayal leanings based on the author’s tone found in the article using machine learning. Bias scores are on a scale of -100% to 100% with higher negative scores being more liberal and higher positive scores being more conservative, and 0% being neutral.

Sentiments

Overall Sentiment

45% Positive

  •   Liberal
  •   Conservative
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Bias Meter

Contributing sentiments towards policy:

64% : This scheme aims to commend sites that demonstrate outstanding performance in carbon reduction.
55% : [Photo caption] From left Ir Simon Liu President of the HKCA and Mr Anthony Chan Honorary Secretary Globally, over 30% of carbon emissions are related to construction activities.
54% : The Guideline covers several key areas: in Manpower (Man), it encourages the use of digital management platforms and Building Information Modelling (BIM) to optimise decision-making and processes; in Machinery, it promotes the application of electric construction machinery and temporary power supply, reducing reliance on traditional diesel generators; in Materials, it advocates the use of low-carbon concrete and recycled materials; in Methods, it introduces digital material management systems, prefabrication technology, and mixed reality platforms to enhance efficiency and reduce waste; and in Environment, it promotes the adoption of renewable energy systems and site wastewater recycling measures to reduce the impact on the surrounding environment.
46% : In Hong Kong, some progress has been made in carbon reduction, with carbon emissions in 2020 being approximately one-fifth lower than 2005 levels.
46% : Facing the challenges of climate change, the HKSAR Government has set a target to reduce carbon emissions by 26% to 36% by 2030.

*Our bias meter rating uses data science including sentiment analysis, machine learning and our proprietary algorithm for determining biases in news articles. Bias scores are on a scale of -100% to 100% with higher negative scores being more liberal and higher positive scores being more conservative, and 0% being neutral. The rating is an independent analysis and is not affiliated nor sponsored by the news source or any other organization.

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