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Writing the Revolution: Wikipedia and the Survival of Facts in the Digital Age

為了解決Distribute to的問題，作者Ford, Heather 這樣論述：

A close reading of Wikipedia’s article on the Egyptian Revolution reveals the complexity inherent in establishing the facts of events as they occur and are relayed to audiences near and far.Wikipedia bills itself as an encyclopedia built on neutrality, authority, and crowd-sourced consensus. Platfor

ms like Google and digital assistants like Siri distribute Wikipedia’s facts widely, further burnishing its veneer of impartiality. But as Heather Ford demonstrates in Writing the Revolution, the facts that appear on Wikipedia are often the result of protracted power struggles over how data are crea

ted and used, how history is written and by whom, and the very definition of facts in a digital age. In Writing the Revolution, Ford looks critically at how the Wikipedia article about the 2011 Egyptian Revolution evolved over the course of a decade, both shaping and being shaped by the Revolution a

s it happened. When data are published in real time, they are subject to an intense battle over their meaning across multiple fronts. Ford answers key questions about how Wikipedia’s so-called consensus is arrived at; who has the power to write dominant histories and which knowledges are actively re

jected; how these battles play out across the chains of circulation in which data travel; and whether history is now written by algorithms. Heather Fordis Associate Professor and Head of Discipline for Digital and Social Media, School of Communication, University of Technology Sydney.

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人格特質對從眾行為意圖與投資行為之研究

為了解決Distribute to的問題，作者劉卉庭 這樣論述：

本研究之目的為了解投資人之人格特質對其從眾行為與個人投資行為的影響，在蒐集相關文獻時發現先前許多研究者經常將人口統計變數內的變項納入研究，在經過整理後認為較少研究者使用「婚姻情形」變數，因此本研究欲以下述兩項:五大人格特質(外向性、開放性、神經質、友善性、審慎性)與人口統計變數中的婚姻情形(已婚、未婚)來驗證投資人的從眾行為與投資行為是否具顯著差異。研究採用便利抽樣之方式發放網路問卷，共計264份，扣除無效問卷1份，共計回收263份有效樣本，有效回收率為99.6%，資料分析方法包含描述性統計分析、單因子變異數分析以及獨立樣本t檢定。本研究之結果顯示出，屬於外向性特質的投資者由於其肯定自我、喜

歡表現等特徵，因此在資訊性從眾、規範性從眾等方面皆無顯著差異，也因為外向性人格者比起其他性格有著更願意承擔風險的特質，因此在股票的投資行為上則是具有顯著差異的；在人口統計變數中的婚姻情形裡可以發現，未婚投資者對其資訊性從眾、規範性從眾、投資行為皆具有顯著差異。

Microprediction: Building an Open AI Network

為了解決Distribute to的問題，作者Cotton, Peter 這樣論述：

How a web-scale network of autonomous micromanagers can challenge the AI revolution and combat the high cost of quantitative business optimization.The artificial intelligence (AI) revolution is leaving behind small businesses and organizations that cannot afford in-house teams of data scientists.

In Microprediction, Peter Cotton examines the repeated quantitative tasks that drive business optimization from the perspectives of economics, statistics, decision making under uncertainty, and privacy concerns. He asks what things currently described as AI are not ＂microprediction,＂ whether microp

rediction is an individual or collective activity, and how we can produce and distribute high-quality microprediction at low cost. The world is missing a public utility, he concludes, while companies are missing an important strategic approach that would enable them to benefit--and also give back. I

n an engaging, colloquial style, Cotton argues that market-inspired ＂superminds＂ are likely to be very effective compared with other orchestration mechanisms in the domain of microprediction. He presents an ambitious yet practical alternative to the expensive ＂artisan＂ data science that currently dr

ains money from firms. Challenging the machine learning revolution and exposing a contradiction at its heart, he offers engineers a new liberty: no longer reliant on quantitative experts, they are free to create intelligent applications using general-purpose application programming interfaces (APIs)

and libraries. He describes work underway to encourage this approach, one that he says might someday prove to be as valuable to businesses--and society at large--as the internet.

家族辦公室發展及其監管制度

為了解決Distribute to的問題，作者李惠娟 這樣論述：

「富過三代、百年傳承」是所有家族企業的夢想。臺灣部分的家族企業由於事先未做好傳承規劃，並無接班人才帶領家族企業成長，導致後續家族內部紛爭、進而危害家族財富與公司治理。隨著台灣財富逐年增長，家族企業也開始意識到傳承規劃的重要，紛紛尋求專家為其設立家族辦公室，或針對某些需求諮詢專家意見，導致了家族辦公室服務的需求日益增加。 「家族辦公室（Family Office，FO）」在歐美行之有年，專為富裕家族提供投資、稅務及法律等服務，管理並分配其家族資產，使其資產能有效利用，家族事業能永續傳承，維持家族成員既有利益，進而創造財富分享成員，更甚者亦能善盡社會責任義務，回饋大眾。 家族辦公

室是否要監管，又該如何進行監管？目前在各先進國家與地區各有不同的做法。本研究計劃即就幾個華人家族辦公室設立最多的國家和地區，例如：美國、新加坡、香港等地，同時也是全球家族辦公室的匯集地，來探討各地區的監管政策及其採取鼓勵發展的措施；並拜訪相關業界的專家們進行深度訪談，以了解台灣目前家族辦公室的運作情形，及對產業監管的意見。進而從現有的法律規定來檢視目前家族辦公室的運作模式，以期能提出符合一般台灣民眾期待、維護公眾利益，且未來在監管上可行的方式，能作為台灣家族辦公室在其設立及運作上監管的具體建議。