Category: Opinion

Curate datasets for fun, and profit

Cover photo source: raul kalvo

The term “Curator” was traditionally used in the context of museums, library, gallery and art exhibitions. It general refers to the person who creatively plan and well organise resources to maximise the utility for the audience. The process that a curator gets the job done is thus “curate”.

TLDR readers, here are the sites that worth your visit:

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賣數據?賣能力?淺談數據新聞的商業出路 — 香港網絡媒體峯會後感

【編註】本文是2017年12月4日的香港網絡媒體峯會後的感想,由 Pili Hu 口述完成,先使用科大訊飛轉爲文字稿,再通過 OpenCC 由簡體轉爲繁體,經過輕量編輯後發出。因爲是口述稿,行文難免累贅,有部分用語不準確的地方,歡迎留言指正。從技術上看,是我們一次新的嘗試,希望藉此方法加速信息傳遞的效率。總共耗時爲1小時在地鐵上口述,加1.5小時編輯。

今天下午的網絡傳媒峯會。幾位主編都有分享,很多媒體運營的經驗。大家談論最多的話題還是媒體的商業模式。用端傳媒主編張潔平的話來說,媒體的商業模式主要有三種。第一種是廣告模式,即先用內容換取流量,然後再用流量去向廣告主收費。第二種模式是直接付費,即把內容直接賣給讀者,而最好的賣法是訂閱,相比點播,訂閱可以保證持續的現金流。第三種辦法,則是贊助,一些基金會或者個人金主,都會贊助大大小小的媒體。

香港網絡媒體高峯會2017@HKICC

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活用多個數據庫做企業背景調查:一篇民間調查的方法解析

原文:我猜你们一定很想了解一下红黄蓝

隨著北京紅黃藍幼兒園的虐童事件的不斷發酵,微博熱搜一度出現:「三種顏色不能上熱搜」熱門話題。中國社交媒體的兩大平台「微博」和「微信公眾號」的網絡大V們仍舊不斷在針對此次事件从不同角度發表各種文章。這次小編帶大家看看一個經常以吐槽科技公司及其產品的科技自媒體「差評君」,在第一時間發表了的一篇針對「紅黃藍幼兒園經營背景」的調查,獲得超過十萬加阅读量的微信公眾號文章。

這篇文章通過網絡公開資料,以熟練運用各種搜索工具作為主要手段,呈現了一個數據調查報道的成功案例。小編進行「逆向工程」,帶大家分析一下這篇文章中使用到的數據庫和調查手段。

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Learn Spreadsheet to Mine Data and Jumpstart Your Data Journalism Career – A Sharing by Aimee Edmondson

Aimee Edmondson is now an Associate Professor with Scripps School of Journalism, Ohio University. HKBU students are very lucky to have this knowledgeable and passionate speaker to talk about data journalism this afternoon. Her 12 years in reporting and later acquired statistics and technology are a fine combination for a data journalist. In the world where people are too fascinated by new technology and numerous boot camps are created by non-journalists, Aimee can be a role model for those “traditional journalists” who are moving in this direction.

Why does data matter? In Aimee’s words, you want to be a reporter, not a repeater. Data helps one to verify what the source is saying and find out what is really happening. To be pragmatic, we are seeing more and more JD requiring data analytics skills from investigative reporters. Going beyond the journalism domain, the skills trained by data journalism can well fit into corporate communication, public relation and advertising industry.

Picture: Job boards on IRE, from the slides

To start, one only needs to work on “small data”, with a spreadsheet.

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5 Signs to Indicate the Future of Hong Kong Media Is Bright

It’s almost the end of 2017 and perhaps it’s the right time to predict the future of Hong Kong media. Although many might think the industry enters another “dark age”, it is not as worse as the majority think. We observed some promising trends of Hong Kong media landscape this year:

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Data News of the Week | Power in China

The closing session of 19th National Congress of the Communist Party of China finished this week. New Politburo Standing Committee presented to the Media, putting Beijing in the centre of world attention. This DNW hand-picks recent data news related to Power in China.

25 year’s political path to Power in China [Link]

Bloomberg Politics made an unconventional data visualisation to show The Path to Power in China. Readers can easily tell running a Big Region is important in China, by reading the following line chart. The chart successfully turned categorical position data into ordinal data by sorting the importance, namely number of people who entered Standing Committee from that position.

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Data News of the Week | Nobel Prize and Hong Kong Chief Executive Policy Address

Noble Prize and Policy Address 2017.

Nobel Prize. Michael Greshko from National Geographic finds out that Nearly 900 People Have Won Nobel Prizes. Only 48 Were Women. The gender gap exists, regardless that female winners are increasing in recent years.

 

Nobel Prize

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哥大資料視覺化大師 Soma 在浸會大學的密技分享

(This is a repost from initiumlab.com by Chia ni Liu, click the link to read the original: 哥大資料視覺化大師 Soma 在浸會大學的密技分享)

Data Journalism 是一門極大的學問,從搜集資料、清理、修正、分析、到找到好故事的過程中大概有幾百種可以學的技能或是知識。在有限的時間和精力下,哥倫比亞大學著名的大師 Jonathan Soma 建議記者至少學好設計,使用適當的手法呈現資料,讓讀者能在最短的時間內吸收資訊。那麼資料視覺化都有哪些機密呢?

核心觀念:

  1. 越多的資料想要呈現,讀者能接收到的資訊越少。
  2. 站在讀者的角度思考,只專注在讀者需要知道的資訊上。

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【转】哥大数据新闻专业毕业后,为什么我最后选择做多媒体?

原文转载自微信公众号刺猬公社,作者贾宸琰,原文请点:哥大数据新闻专业毕业后,为什么我最后选择做多媒体?

导读

李沁灵,毕业于哥伦比亚大学新闻学院数据新闻方向,现于IBT Media纽约总部担任Multimedia Producer(多媒体制作人),制作过批评特朗普网络政策的多媒体作品《Net Neutrality》。此外,李沁灵曾经制作了《基督教科学箴言报》封面报道视频《2016:The Year of Disruption》等多媒体作品。

为什么我学了数据,最后没去编程却成为了多媒体制作人?

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Data News of the Week | Sharing Economy & Other projects

The Sharing Economy is a socio-economic ecosystem built around the sharing of human, physical and intellectual resources.

Whilst the Sharing Economy is currently in its infancy, this is only the beginning: in its entirety and the potential, it is a new and alternative socio-economic system which embeds sharing and collaboration at its heart – across all aspects of social and economic life.

The leading businesses that are advancing the concept of the “sharing economy” are in many respects no longer insurgents and newcomers. The size and scale of Uber, Airbnb and several other firms now rival, or even surpass, those of some of the world’s largest businesses in transportation, hospitality, and other sectors. As the economic power of these technology-driven firms grows, there continue to be regulatory and policy skirmishes on every possible front, across cities and towns spanning the United States, Europe and beyond.

Here is one example in China:

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