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New Big Data Insights

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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 06/06/2023 15:00
  • Facebook

1197

荃灣躁漢揮菜刀兇菜檔職員  兩警手按槍袋將其制服

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恐嚇案

荃灣

蔡玉玲查冊案 終審庭今裁定上訴得直

蔡玉玲

查冊

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258

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李慧詩退役

李慧詩

退役

  • Instagram

8027

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The hottest lifestyle feed in Hong Kong
Data as at 06/06/2023 15:00

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Wisers Rankings

Big data and AI-powered analysis in multiple perspectives

魏浚笙

生活

  • Facebook

1609

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山水盈屋苑嚴重滲水

山水盈

滲水

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73

林芊妤分享相片

林芊妤

生活

  • Instagram
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35K

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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)

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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