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Financial Propaganda Model in SoLoMo Era:
Demand Creation and Journalism
SoLoMo時代的金融宣傳模式: 製造需求與新聞學




 Thomas Hu 胡一天                     November 2012
Table of Contents 目錄

§  Demand Creation in SoLoMo Era

§  Anatomy of Financial Propaganda Model

§  Big Data and Propaganda Model

§  Trust and Uncertainty

§  Implications for Journalism
“Supply creates its own demand.”

                                               ~ John Maynard Keynes




Demand Creation in SoLoMo Era

SoLoMo時代如何製造需求
Investment Vehicles To Play Mobility Trend: We have identified
                                   vehicles (Google, eBay, Amazon, and pure plays like Velti, etc) for in
                                   on mobility, in addition to a number of private companies in the spa


                                   Global Mobile Devices Already Outnumber PCs

                                 We estimate global smartphone shipments surpassed PC shipmen
                                 the early tipping point in what has become a massive consumer
          Social Media: New   Focal Point ofimpacting all companies in our coverage universe.
                                 mobile space, Internet
          社群媒體是互聯網的新焦點
                                   Figure 31: PC and Smartphone Unit Shipments (mn)                                                   Figur
      SoLoMo風潮席捲全球                                             1,200                                                                       100
§                                                                                                                                          90
                                                               1,000               WW smartphone                                            80
§    2010年全球智能手機的銷量超越pc




                                         Unit Shipments (mn)
                                                                                 shipments surpassed                                        70
                                                                800              PC shipments in 2010
                                                                                                                                            60
                                                                600                                                                         50
§    社群媒體佔據互聯網用戶16%的時間
                                                                                                                                            40
                                                                400                                                                         30
§    廣告與產品須打進Web 2.0消費者的心                                      200
                                                                                                                                            20
                                                                                                                                            10
                                                                                                                                              0
§    社群的信任與方便的通訊科技是關鍵                                            -
                                                                          2008      2009      2010   2011    2012E   2013E    2014E

                                                                       PC Unit Shipments (DT + LT)      Smartphone Unit Shipments
§    無所不在的最終通路: Your Mind!
                                   Source: IDC and Deutsche Bank IT Hardware Team                                                     Source: ID




                                   Page 42
SoLoMo e-Commerce: Not New in Financial Markets
              金融市場對SoLoMo電子商務並不陌生

§    NASADAQ早開B2B電子商務的先河
      §    過去三十年資訊科技的演進降低交易費用但未改變交易本質
      §    金融交易的本質是搜尋(search)與驗證(verification)買賣雙方的動態過程

§    華爾街對資訊科技的投資不遺餘力
      §    全球金融業的IT投資額於2012-15年上看三千八百億美元
      §    歐美市場各佔三分之一,亞洲增長持續加速
      §    全球投資銀行業的平均年營運固定成本上看四十億美元,IT開銷為大宗項目

§    Why Spend So Much Money?
      §    Lehman Shock & Global Credit Crisis =>金融服務供應過剩而需求不振
      §    華爾街證券化工廠需要不斷製造需求來維持規模經濟 => More Deals, Less Capital
      §    病毒行銷、行為預測、網絡成癮 => Similarity between Wall Street & e-commerce platform
“The mass media are interested in attracting audiences with buying power,
         not audiences per se.”

                                                                    ~ Noam Chomsky




Anatomy of Financial Propaganda Model

剖析金融宣傳模式
Socialize, Localize, Mobilize
               拉攏,融入,動員

§    1988年杭士基(Noam Chomsky)提出宣傳模式(propaganda model)以解釋:
      §    新聞媒體在灌輸與鞏固政經意識型態的關鍵角色
      §    媒體的所有權與資金來源導致統治精英製造公眾同意(manufactured consent)

§    華爾街的金融宣傳模式:
      §    研究與投行業務間的Chinese Wall => biased and vulnerable
      §    業務第一、真相不重要 => “Customers have very short memory”
      §    獨立分析團隊創造價值 (Meredith Whitney, Muddy Water…) => Sustainable?

§    Why Financial SoLoMo?
      §    Socialize to gain trust => user stickiness
      §    Localize to frame focus and eliminate choices => targeted marketing
      §    Mobilize herd mentality and create concerted collective response => fast sell-through
How Buy-side and Sell-side Interact in Financial Markets?
              買賣雙方如何在金融市場互動?

§    實例: Tommy於一間管理一百億美元的紐約對沖基金擔任資深分析師
      §    一日之計在於晨 => 透過智能手機與平板大量閱讀
      §    高度整合的互動科技 => 即時網聊、即時新聞、即時反應
      §    量身訂製的資訊傳播 => thematic strategy, road show, conference call, live broadcast etc.
      §    Social network => 斛杯交錯間,買賣決定時
      §    電子交易平台打造金融博奕新戰場

§    金融宣傳模式的特質
      §    Contextual => 動聽的故事製造協同行為
      §    Pervasive => 針對使用者注意力的飽和攻擊
      §    Reflexive => 建構在市場偏見與預期正回饋循環上的反射理論(George Soros)
      §    Individual => 巨量市場資訊與分析可以精準標定用戶偏好與預期行為
      §    Social => 金融交易是在賭心思、人類機械交相賊

§    WHY DOES IT STILL WORK IF EVERYONE KNOWS HOW IT WORKS?
“It is not who I am underneath, but what I do that defines me.”

                                                 ~ Batman/Bruce Wayne




Big Data and Propaganda Model

巨量資訊與宣傳模式
Big Data Analytics Enhance Propaganda
                  巨量資訊強化宣傳

§    資料庫科技的創新從不停息
      §    規模、速度、容錯
      §    75%的數位資訊來自個人 => 愈來愈多的資訊來自人類自發的創作分享與喃喃自語
      §    Facebook, Twitter, YouTube上的用戶資訊分散、龐雜且成指數式增長
      §    Big Data => 針對巨量資訊的分析是Web 2.0的新顯學

§    Collective Intelligence
      §    集體智慧與群眾心理
      §    金融市場的群性 => Futures market as price discovery mechanism
      §    社群網絡上的朋友數量與大腦灰皮質的容量正相關 => better stock picker?
      §    Algorithmic trading and e-commerce market microstructure

§    巨量資訊與宣傳模式
      §    How Target figured out a teenage girl was pregnant before her father did?
            §    Consumer protection and privacy: an Orwellian luxury?

§    TRUST NO ONE?
“There are known knowns;
               There are things we know we know.
               We also know there are known unknowns;
               But there are also unknown unknowns.
               The ones we don’t know we don’t know.”

                                               ~ Donald Rumsfield




Trust and Uncertainty

信任與不確定
Social Media Create New Layer of Trust Infrastructure
              社群媒體形塑新的信用基礎

§    資本主義市場經濟是用合約結成的網絡
      §    看不見的手 => 信用
      §    信用風險是市場波動的本源 => 資訊不對稱、不確定、不可測
      §    社會信用基礎建設(Social Trust Infrastructure) => 法院(laws))、銀行(money)、媒體(news)
      §    金融危機與信任危機 => fear, greed, animal spirit and market mania

§    社群網絡形塑新的信用基礎建設
      §    Facebook用戶破十億人 => The Birth of A Nation?
      §    消費者信用服務 => 信用評等與行為預測
      §    Facebook Credits => 新型態的貨幣?

§    金融化的社群網絡平台與宣傳模式
      §    ARE WE READY YET?
      §    WHAT IS TRUE?
      §    WHOM TO TRUST?
“History isn’t written by logic.”

                                                  ~ Oriana Fallaci




Implications for Journalism

對新聞學的指涉
Crownless King Without Clothes
              沒有新衣的無冕王

§    曾幾何時,新聞媒體從業人員是受人尊敬的專業
      §    沒有網絡的時代,記者決定閱聽大眾如何思考
      §    社群網絡的時代,只要有心,人人都能當記者
      §    Information is almost free but good judgment is priceless => So What?

§    新聞記者的存在意義(rasion d’etre)為何?
      §    Journalist or Propagandist?
      §    Still relevant when Google is omnipresent and omniscient?
      §    Public suspicion when independent journalism is financially struggling?
      §    Information Tribalism and Institutional mistrust?
      §    Active promoter or astute spectator?

§    人類對抗暴政就是記憶與遺忘的鬥爭 => SoLoMo Journalist and New Responsibility
      §    Sober Thinker
      §    Loud Speaker
      §    Motivated Fighter
Questions & Answers

問與答

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Financial propagandamodelsolomo nov2012

  • 1. Financial Propaganda Model in SoLoMo Era: Demand Creation and Journalism SoLoMo時代的金融宣傳模式: 製造需求與新聞學 Thomas Hu 胡一天 November 2012
  • 2. Table of Contents 目錄 §  Demand Creation in SoLoMo Era §  Anatomy of Financial Propaganda Model §  Big Data and Propaganda Model §  Trust and Uncertainty §  Implications for Journalism
  • 3. “Supply creates its own demand.” ~ John Maynard Keynes Demand Creation in SoLoMo Era SoLoMo時代如何製造需求
  • 4. Investment Vehicles To Play Mobility Trend: We have identified vehicles (Google, eBay, Amazon, and pure plays like Velti, etc) for in on mobility, in addition to a number of private companies in the spa Global Mobile Devices Already Outnumber PCs We estimate global smartphone shipments surpassed PC shipmen the early tipping point in what has become a massive consumer Social Media: New Focal Point ofimpacting all companies in our coverage universe. mobile space, Internet 社群媒體是互聯網的新焦點 Figure 31: PC and Smartphone Unit Shipments (mn) Figur SoLoMo風潮席捲全球 1,200 100 §  90 1,000 WW smartphone 80 §  2010年全球智能手機的銷量超越pc Unit Shipments (mn) shipments surpassed 70 800 PC shipments in 2010 60 600 50 §  社群媒體佔據互聯網用戶16%的時間 40 400 30 §  廣告與產品須打進Web 2.0消費者的心 200 20 10 0 §  社群的信任與方便的通訊科技是關鍵 - 2008 2009 2010 2011 2012E 2013E 2014E PC Unit Shipments (DT + LT) Smartphone Unit Shipments §  無所不在的最終通路: Your Mind! Source: IDC and Deutsche Bank IT Hardware Team Source: ID Page 42
  • 5. SoLoMo e-Commerce: Not New in Financial Markets 金融市場對SoLoMo電子商務並不陌生 §  NASADAQ早開B2B電子商務的先河 §  過去三十年資訊科技的演進降低交易費用但未改變交易本質 §  金融交易的本質是搜尋(search)與驗證(verification)買賣雙方的動態過程 §  華爾街對資訊科技的投資不遺餘力 §  全球金融業的IT投資額於2012-15年上看三千八百億美元 §  歐美市場各佔三分之一,亞洲增長持續加速 §  全球投資銀行業的平均年營運固定成本上看四十億美元,IT開銷為大宗項目 §  Why Spend So Much Money? §  Lehman Shock & Global Credit Crisis =>金融服務供應過剩而需求不振 §  華爾街證券化工廠需要不斷製造需求來維持規模經濟 => More Deals, Less Capital §  病毒行銷、行為預測、網絡成癮 => Similarity between Wall Street & e-commerce platform
  • 6. “The mass media are interested in attracting audiences with buying power, not audiences per se.” ~ Noam Chomsky Anatomy of Financial Propaganda Model 剖析金融宣傳模式
  • 7. Socialize, Localize, Mobilize 拉攏,融入,動員 §  1988年杭士基(Noam Chomsky)提出宣傳模式(propaganda model)以解釋: §  新聞媒體在灌輸與鞏固政經意識型態的關鍵角色 §  媒體的所有權與資金來源導致統治精英製造公眾同意(manufactured consent) §  華爾街的金融宣傳模式: §  研究與投行業務間的Chinese Wall => biased and vulnerable §  業務第一、真相不重要 => “Customers have very short memory” §  獨立分析團隊創造價值 (Meredith Whitney, Muddy Water…) => Sustainable? §  Why Financial SoLoMo? §  Socialize to gain trust => user stickiness §  Localize to frame focus and eliminate choices => targeted marketing §  Mobilize herd mentality and create concerted collective response => fast sell-through
  • 8. How Buy-side and Sell-side Interact in Financial Markets? 買賣雙方如何在金融市場互動? §  實例: Tommy於一間管理一百億美元的紐約對沖基金擔任資深分析師 §  一日之計在於晨 => 透過智能手機與平板大量閱讀 §  高度整合的互動科技 => 即時網聊、即時新聞、即時反應 §  量身訂製的資訊傳播 => thematic strategy, road show, conference call, live broadcast etc. §  Social network => 斛杯交錯間,買賣決定時 §  電子交易平台打造金融博奕新戰場 §  金融宣傳模式的特質 §  Contextual => 動聽的故事製造協同行為 §  Pervasive => 針對使用者注意力的飽和攻擊 §  Reflexive => 建構在市場偏見與預期正回饋循環上的反射理論(George Soros) §  Individual => 巨量市場資訊與分析可以精準標定用戶偏好與預期行為 §  Social => 金融交易是在賭心思、人類機械交相賊 §  WHY DOES IT STILL WORK IF EVERYONE KNOWS HOW IT WORKS?
  • 9. “It is not who I am underneath, but what I do that defines me.” ~ Batman/Bruce Wayne Big Data and Propaganda Model 巨量資訊與宣傳模式
  • 10. Big Data Analytics Enhance Propaganda 巨量資訊強化宣傳 §  資料庫科技的創新從不停息 §  規模、速度、容錯 §  75%的數位資訊來自個人 => 愈來愈多的資訊來自人類自發的創作分享與喃喃自語 §  Facebook, Twitter, YouTube上的用戶資訊分散、龐雜且成指數式增長 §  Big Data => 針對巨量資訊的分析是Web 2.0的新顯學 §  Collective Intelligence §  集體智慧與群眾心理 §  金融市場的群性 => Futures market as price discovery mechanism §  社群網絡上的朋友數量與大腦灰皮質的容量正相關 => better stock picker? §  Algorithmic trading and e-commerce market microstructure §  巨量資訊與宣傳模式 §  How Target figured out a teenage girl was pregnant before her father did? §  Consumer protection and privacy: an Orwellian luxury? §  TRUST NO ONE?
  • 11. “There are known knowns; There are things we know we know. We also know there are known unknowns; But there are also unknown unknowns. The ones we don’t know we don’t know.” ~ Donald Rumsfield Trust and Uncertainty 信任與不確定
  • 12. Social Media Create New Layer of Trust Infrastructure 社群媒體形塑新的信用基礎 §  資本主義市場經濟是用合約結成的網絡 §  看不見的手 => 信用 §  信用風險是市場波動的本源 => 資訊不對稱、不確定、不可測 §  社會信用基礎建設(Social Trust Infrastructure) => 法院(laws))、銀行(money)、媒體(news) §  金融危機與信任危機 => fear, greed, animal spirit and market mania §  社群網絡形塑新的信用基礎建設 §  Facebook用戶破十億人 => The Birth of A Nation? §  消費者信用服務 => 信用評等與行為預測 §  Facebook Credits => 新型態的貨幣? §  金融化的社群網絡平台與宣傳模式 §  ARE WE READY YET? §  WHAT IS TRUE? §  WHOM TO TRUST?
  • 13. “History isn’t written by logic.” ~ Oriana Fallaci Implications for Journalism 對新聞學的指涉
  • 14. Crownless King Without Clothes 沒有新衣的無冕王 §  曾幾何時,新聞媒體從業人員是受人尊敬的專業 §  沒有網絡的時代,記者決定閱聽大眾如何思考 §  社群網絡的時代,只要有心,人人都能當記者 §  Information is almost free but good judgment is priceless => So What? §  新聞記者的存在意義(rasion d’etre)為何? §  Journalist or Propagandist? §  Still relevant when Google is omnipresent and omniscient? §  Public suspicion when independent journalism is financially struggling? §  Information Tribalism and Institutional mistrust? §  Active promoter or astute spectator? §  人類對抗暴政就是記憶與遺忘的鬥爭 => SoLoMo Journalist and New Responsibility §  Sober Thinker §  Loud Speaker §  Motivated Fighter