Tag: Trump

轉載:特朗普父女推特解密(ODD-HK-17作品)

【轉載注】特朗普自從上臺以來,一直是媒體和學者關注的焦點。這位「推特治國」的總統,不僅極具話題性,也伴隨着豐富的數據集。這無疑是政治新聞報道中,非常適合數據驅動報道的議題。這篇文章來自兩位港大的同學,初稿形成于 Open Data Day Hong Kong 2017 的黑客松,由 Initium Lab 編輯和發表。轉載此文有兩個契機。一是 Open Data Day Hong Kong 2018 將于3月3日在港大舉行,屆時全港的開放數據行動者、公民科技愛好者、記者、學者、市民將匯聚一堂,發起專案,並在一天的時間內做出原型。部分項目組會在活動之後繼續研發,形成出色的數據應用或者數據報道。這篇文章是一個經典的案例,無論從選題、數據搜集/分析/可視化,還是項目執行,都極具代表性。黑客松讓不同背景的參與者,在高壓下腦力激盪、通力合作,可以很高效地找到有趣的選題,並做出原型。而將原型轉化爲最終作品,往往會花上數倍于黑客松現場的時間,並且需要專業技能的介入。希望通過這篇文章,讓正在努力學習 Python、R、Javascript 的傳播同學看到一種可能性——獨行者最速,衆行者最遠。轉載的第二個契機是,最近NBC發出了有關俄羅斯在Twitter上虛假帳號的數據集和報道。特朗普的崛起讓大量精英階層感覺到是一記耳光,他們慌了,不斷苛責媒體和社交網絡。究竟俄羅斯有沒有從中作祟?作用有多大?爲什麼特朗普的支持者如此之多,但民調竟沒發現?是隨機誤差還是系統誤差?這些疑問會在很長一段時間內不斷閃現,而人們熱衷於各種蛛絲馬跡。可以說,盯住特朗普、盯住Twitter總會有用不完的數據,寫不完的故事。這篇文章是很典型的文本分析于可視化,用R完成,可借鑑處頗多。

原文起


美國新晉總統唐納德·特朗普(Donald Trump)以其極端言論在一眾政客裡獨領風騷。端Lab曾於2016年撰文分析特朗普與其競選對手希拉里·柯林頓(Hillary Clinton)面對媒體採訪時不同的言論風格,發現特朗普發言多用簡單句型,且善於用第二人稱敘事獲取觀眾共鳴。

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Data News of the Week | Trump Lies and His Job Promises

It has been more than a year under Donald Trump’s administration. Trump has made a lot of groundless claims and job promises which happen arbitrarily. Some newsagents keep a record of it and visualize the frequency. To criticise the act of the president in a more grounded way, The New York Times compares the lies frequency between Trump’s and the former president Barack Obama. We also dug deeper into one of his promises in his election platform which is job creation and employment enhancement. From which, we adopted a project from ProPublicaThe following will discuss the visualization, the use of words and the effects of the two projects. 

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Data News of the Week | 分析:特朗普在Twitter上的“中国帖子”

Since Trump became the President of the U.S., his Twitter also became the main source of the news.

Twitter is still banned in mainland China, however, can not stop the Chinese internet users to follow and make fun of it.

Here is a Data News of Trump’s Twitter from FT.Chinese.com

(This is a repost from FT.Chinese.com by Silva Shih, click the link to read the original:

分析:特朗普在Twitter上的“中国帖子”)

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