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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 11/12/2023 15:00
  • Facebook

640

警今起調配便衣警 嚴打亂過馬路

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馬路

警方

移民潮湧   3年少派37萬報稅表

移民潮

稅收

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174

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穆迪將香港評級展望降至負面

穆迪

香港

  • Instagram

1132

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The hottest lifestyle feed in Hong Kong
Data as at 11/12/2023 15:00

劉俊謙分享照片

Wisers Rankings

Big data and AI-powered analysis in multiple perspectives

劉俊謙

生活

  • Facebook

562

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用粗口鬧鄰居 

小朋友

家事

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304

林芊妤分享相片

林芊妤

生活

  • Instagram
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17K

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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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