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New Big Data Insights

Big data can be used this way

The Latest Wisers 24 Hours

The hottest social and lifestyle feed in Hong Kong

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The hottest social feed in Hong Kong
Data as at 03/02/2023 15:00
  • Facebook

68

全面通關  2.6起免配額免核酸 

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676

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日本

香港

壽司郎

通關

壽司郎屁孩父親落淚致歉「他有在反省」

日本麥當勞暴雪夜營業 拍下神級唯美照

麥當勞

日本

  • Instagram

3504

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The hottest lifestyle feed in Hong Kong
Data as at 03/02/2023 15:00

陳瑞輝分享照片

Wisers Rankings

Big data and AI-powered analysis in multiple perspectives

陳瑞輝

生活

  • Facebook

4564

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送年糕畀女同事搞到女朋友嬲左我

年糕

賀年

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50

林芊妤分享相片

林芊妤

生活

  • Instagram
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12K

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Based on Wisers’ 20+ years of omni-media big data accumulation, scientific modeling and advanced artificial intelligence technology Listen to the voice of Hong Kong people from an all-round, objective and neutral perspective

Omni-media analysis  

1,910,035,665

data volume

About

Hong Kong social media data include online posts, comments and engagement (daily data collection)

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Wisers Big Data In-depth Analysis

Interpret the voice of Hong Kong people with the insights provided by our data scientists and analysts

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The Government launched a new round of Anti-Epidemic Fund, a whole-day dine-in ban, social distancing rules, and a voluntary universal virus test programme to cope with the pandemic, which has affected everyone’s daily life. The impacts of these policies were felt across all the seven key aspects of life, covering clothing, dining, accommodation, transportation, work, study and entertainment. Which issues were of the greatest concern to citizens?  What struck them the most?

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Since the outbreak, the public have focused on issues ranging from border closure to the influx of students returning from overseas, from sharing the latest news about face mask supply to supporting local mask production, from home quarantine to city-wide social distancing measures. What were the most well received and least well received issue for Hong Kong people? The government successfully proposed three rounds of anti-epidemic relief package with record amount. However, the reception was mixed at best. How should genuine public opinion be interpreted and identified? 

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Within the data period from 1st January to 14th February, Wisers' research team combined big data computing models and artificial intelligence text analysis technology to analyze more than 280,000 epidemic-related posts, more than 10.92 million Internet users' comments, and nearly 3.4 billion engagements among netizens. The research team compared the degree of netizens concern reflected by big data with the number of confirmed cases every day. We discovered that the two are not neces-sarily proportional to each other, reflecting there were other factors that cause greater public concern and affect the mainstream mood than confirmed cases.

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Wisers Think Tank – Expert Insights

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