한국인터넷문화의특성과발전방안연구 정책연구 온라인평판시스템의순기능제고방안

Similar documents
°í¼®ÁÖ Ãâ·Â

15_3oracle

석사논문연구계획서

제19권 제3호 Ⅰ. 문제제기 온라인을 활용한 뉴스 서비스 이용은 이제 더 이 상 새로운 일이 아니다. 뉴스 서비스는 이미 기존의 언론사들이 개설한 웹사이트를 통해 이루어지고 있으 며 기존의 종이신문과 방송을 제작하는 언론사들 외 에 온라인을 기반으로 하는 신생 언론사



DW 개요.PDF

DBPIA-NURIMEDIA

8월-이윤희-1.indd

1.,..,..,..,.,.,,.


Model Investor MANDO Portal Site People Customer BIS Supplier C R M PLM ERP MES HRIS S C M KMS Web -Based

SW¹é¼Ł-³¯°³Æ÷ÇÔÇ¥Áö2013

ø©º∫∞˙ ∞Êøµ0

hwp

<31362DB1E8C7FDBFF82DC0FABFB9BBEA20B5B6B8B3BFB5C8ADC0C720B1B8C0FC20B8B6C4C9C6C32E687770>

03-최신데이터

ETL_project_best_practice1.ppt

06_ÀÌÀçÈÆ¿Ü0926

ecorp-프로젝트제안서작성실무(양식3)

<30382E20B1C7BCF8C0E720C6EDC1FD5FC3D6C1BEBABB2E687770>

학습영역의 Taxonomy에 기초한 CD-ROM Title의 효과분석

27 2, 17-31, , * ** ***,. K 1 2 2,.,,,.,.,.,,.,. :,,, : 2009/08/19 : 2009/09/09 : 2009/09/30 * 2007 ** *** ( :

untitled

PowerPoint 프레젠테이션

What is P2P? Path to Profitability 지식 교환 개념: 지식 포탈 Peer-to-Peer: 등 배간 연결 PC-to-PC, PC-to-Phone, Phone-to-PC People-to-People, Person-to-Person <출전: 박

Microsoft PowerPoint - 3.공영DBM_최동욱_본부장-중소기업의_실용주의_CRM

SchoolNet튜토리얼.PDF

정보화정책 제14권 제2호 Ⅰ. 서론 급변하는 정보기술 환경 속에서 공공기관과 기업 들은 경쟁력을 확보하기 위해 정보시스템 구축사업 을 활발히 전개하고 있다. 정보시스템 구축사업의 성 패는 기관과 기업, 나아가 고객에게 중대한 영향을 미칠 수 있으므로, 이에 대한 통제

목순 차서 v KM의 현황 v Web2.0 의 개념 v Web2.0의 도입 사례 v Web2.0의 KM 적용방안 v 고려사항 1/29

,,,.,,,, (, 2013).,.,, (,, 2011). (, 2007;, 2008), (, 2005;,, 2007).,, (,, 2010;, 2010), (2012),,,.. (, 2011:,, 2012). (2007) 26%., (,,, 2011;, 2006;

차 례... 박영목 **.,... * **.,., ,,,.,,

untitled

untitled


38이성식,안상락.hwp

2017 1

Journal of Educational Innovation Research 2018, Vol. 28, No. 1, pp DOI: A study on Characte

? Search Search Search Search Long-Tail Long-Tail Long-Tail Long-Tail Media Media Media Media Web2.0 Web2.0 Web2.0 Web2.0 Communication Advertisement

DBPIA-NURIMEDIA

<B4DCC0A7BBE7BEF7BAB8B0EDBCAD30345FC3A2C0DBC1F6BDC4BBFDC5C2B0E85FC1A6BABB5FC3D6C1BEBCF6C1A42E687770>

hwp

정보기술응용학회 발표

삼국통일시나리오.indd

<C7D1B1B9B1A4B0EDC8ABBAB8C7D0BAB85F31302D31C8A35F32C2F75F E687770>

歯CRM개괄_허순영.PDF

BSC Discussion 1

노동경제논집 38권 4호 (전체).hwp

<3132B1C732C8A328C0DBBEF7292E687770>

슬라이드 1

AT_GraduateProgram.key

Intro to Servlet, EJB, JSP, WS

Output file

, (, 2000) (public management),,, ( ), (Parasuraman, 1988), Lacobucci(1996) (consumer evaluation),,, ( ) ( E x p e c t a t i o n ) (, 2001) Parasurama

Social Network


., (, 2000;, 1993;,,, 1994), () 65, 4 51, (,, ). 33, 4 30, 23 3 (, ) () () 25, (),,,, (,,, 2015b). 1 5,

<30315FC0CCB5BFC1D65FC7D1B1B9BCBAB8C5B8C52E687770>

*5£00̽ÅÈ�

<B9E6BCDBC5EBBDC5BDC9C0C7B5BFC7E220C1A D3032C8A32833C2F720BCF6C1A E687770>

이제는 쓸모없는 질문들 1. 스마트폰 열기가 과연 계속될까? 2. 언제 스마트폰이 일반 휴대폰을 앞지를까? (2010년 10%, 2012년 33% 예상) 3. 삼성의 스마트폰 OS 바다는 과연 성공할 수 있을까? 지금부터 기업들이 관심 가져야 할 질문들 1. 스마트폰은

PowerPoint 프레젠테이션


03.Agile.key

Oracle Apps Day_SEM


PowerPoint 프레젠테이션

untitled

CMS-내지(서진이)

Microsoft PowerPoint - XP Style

, ( ) * 1) *** *** (KCGS) 2003, 2004 (CGI),. (+),.,,,.,. (endogeneity) (reverse causality),.,,,. I ( ) *. ** ***

歯목차45호.PDF

퍼스널 토이의 조형적 특성에 관한 고찰

001지식백서_4도

한국인터넷문화의특성과발전방안연구 정책연구 한국인터넷문화의특성과발전방안연구총괄보고서

< D D2D2D2D2D2D2D31372DC3D6BFACC1F82CC1A4BFACB0E62D2D2D2D2D2D2D2D2D2D2D2DC7D0C8B831C2F7BCF6C1A42E687770>

hwp

Journal of Educational Innovation Research 2018, Vol. 28, No. 3, pp DOI: * Strenghening the Cap

example code are examined in this stage The low pressure pressurizer reactor trip module of the Plant Protection System was programmed as subject for

A Problem for Government STAGE 6: Policy Termination STAGE 1: Agenda Setting STAGE 5: Policy Change STAGE 2: Policy Formulation STAGE 4: Policy Evalua


DBPIA-NURIMEDIA

,, (, 2010). (, 2007).,,, DMB, ,, (, 2010)., LG., (, 2010) (, ,, ) 3, 10, (, 2009).,,. (, 2010)., (, 2010). 11

11¹Ú´ö±Ô

미래인터넷과 창조경제에 관한 제언 65 초록 과학기술과의 융합을 통해 창조경제를 이루는 근간인 인터넷은 현재 새로운 혁신적 인터넷, 곧 미래인터넷으로 진화하는 길목에 있다. 창조와 창업 정신으로 무장하여 미래인터넷 실현에 범국가적으로 매진하는 것이 창조경제 구현의 지름

(5차 편집).hwp

산업백서2010표지

< FC3BBBCD2B3E2C1A4C3A5C0C720C8AEC0E5B0FA20B9DFC0FC28C3D6C1BE31292E687770>


untitled


歯J PDF

< BB0E6C1A65DB0F8B0B32DC1F6BDC4C0E7BBEAC0CEB7C220BCF6B1DEC0FCB8C120BFACB1B85FC0CCC1D6BFAC28C3D6C1BE292E687770>

06_±è¼öö_0323


<C6EDC1FD2DBAB8B0EDBCAD BCF6C1A4292D DBABBB9AE2E687770>

<43494FB8AEC6F7C6AE5FB0F8B0A3C1A4BAB85FBCF6C1A42E687770>

Intra_DW_Ch4.PDF

<303120B1E8C1D8BCF62E687770>

methods.hwp

Transcription:

한국인터넷문화의특성과발전방안연구 정책연구 09-67 온라인평판시스템의순기능제고방안 2009. 12.

1.,..,...,,.,,,.. 2009 12

3 1 9 1 19 2 23 1 24 1. 24 2. 25 2 27 1. 27 2. / 28 3 29 1. 31 2. / 31 4 33 1. 33 2. 35 3. : 40 3 46 1 46 1. 46 2. 48

4 2 50 1. (Centralized Reputation Systems) 50 2. (Distributed Reputation Systems) 52 3 (Reputation Computation Engines) 53 4 56 1. 56 2. 58 5 58 1. in 59 2. 63 3. (Metablog) 66 4. 76 4 79 1 79 2 81 1. 81 2. 83 3. 85 3 90 1. 90 2. 93 3. 97 4. 100 5. 104 4 107 1. 107

5 2. 109 5 110 5 114 1 114 2 116 1. 116 2. 117 3. 119 3 123 1. 123 2. 126 4 131 1. 131 2. 134 5 137 6 : 142 1 142 2 145 1. 145 2. 148 3 (robustness) 150 4 152 155

6 2 1 33 2 2 34 2 3 36 2 4 38 2 5 (1) 40 2 6 (2) 41 2 7 OLS : (3) 41 2 8 : 42 2 9 : 43 2 10 OLS : (1) 44 2 11 OLS : (2) 45 3 1 in 60 3 2 in 61 4 1 82 4 2 88 5 1 119 5 2 125 5 3 127 5 4 136

7 2 1 30 2 2 ( ) 39 2 3 39 3 1 51 3 2 53 3 3 in 59 3 4 67 3 5 69 3 6 70 3 7 73 3 8 74 4 1 / 91 4 2 92 4 3 99 4 4 101 4 5 102 4 6 103 4 7 104 5 1 129 6 1 146 6 2 (2009 ) 147

8 6 3 152 6 4 Consumer Reports WebWatch 153

9 1 (reputation),,.,,,,.......,...,.,,

10.,.,... 2.. 3, 4.. 5,.. 2.....

11.. (ebay.com) (amazon.com). (digital footprint).,,.. (visibility),.,. (race). (reputation capital),...,.. 3 (feedback),,

12 (Resnick et al., 2000).. (recommendation system)...,.,.. (ebay)....,... (transaction)...,

13. DHT(Distributed Hash Table),. 1 4,.,,.,,.,,,,. 1

14..,.,...,,, ID.,,, ID. 5,,. (agenda setting) (opinion construction).,..

15 (believability) (trustworthy) (expertise) (Castelfranchi and Tan, 2002)., (Fogg, 1999)..,, (Fogg and Tseng, 1999).,.,. 2,...

16.??,,,,..,,,,. 2 6.

17.....,.,. /..,, (Robustness),.

1 19 1 (reputation),,.,,,,.... 1) (Rao, 1994)., (field)..... 1) (, 2005: 194).

20.,. (Becker, 2008).,..,,. (information cost). /.,. (herd behavior)..,,. (snow-ball effect).. (winner-takes-all)

1 21.,. (trickle-down),,.,.....,,.,,.,..,..., (popularity).

22........ 2.. 3, 4. 5,..

2 23 2 (Guide Michelin).,......... 2.

24 1 1. (social prestige)......... ( )......,,,,,.,,.

2 25...... (ebay.com) (amazon.com). (digital footprint).,,.. (visibility),. 2. (reputation capital),.. (cultural

26 capital). (conversion),. ( ),...,. (race). (Zabala et al., 2005),. (2005: 70) (prosopographie).,,,,,,.,,.. (2005: 324),.

2 27 2 1.,.. (1998).. 1 2 17, 18...,. ( ) ( ).,. 2). 2)..

28. 2. /....,,..,.....,,.. ( ). (packagers of content),,.

2 29..,.. 19.,., (Citation Index),. 3., (Resnick et al. 2000, Dellarocas, 2003). 2 1,.,,,.

30 2 1 : Yahoo! Developer Network (http://developer.yahoo.com/ypatterns/social/people/reputation/)

2 31 1. (ranking),. (item),,, (Wikipedia ). (ordinal numbers).,., (query-dependent method) (query-independent method).. PageRank TrustRank 3) HITS(Hyperlink-Induced Topic Search) (link analysis). 2. /.. (http://mixsh.com). FAQ IP 1 1. 3)? (PageRank)? (TrustRank).

32. mixup.. (http://naaroo.com). RSS,..,.. 2009 11 30 343,657 5,617,608 24,113,288, 4,261 66,647. (http://www.abondance.com). (Kartoo). Google, Yahoo, Bing, Exalead, Ask.com and Kartoo,,... (-)..,, (http://blog.kartoo.com/en/?cat=13).

2 33.. 4. 4. 1. 15, (Proportionate Quota & Systematic Sampling). 2009 8 27 9 18 3, (face to face interview). 1,232 95% ±2.8%. 2 1. 2 1 ( ) (%) 1,232 100.0 605 49.1 627 50.9 15-19 116 9.4 20 238 19.3 30 257 20.9

34 ( ) (%) 40 247 20.0 50 193 15.7 60 181 14.7 281 22.8 199 16.2 228 18.5 283 23.0 211 17.1 / 30 2.4 120 9.7 638 51.8 474 38.5 200 63 5.1 200-300 254 20.6 300-400 461 37.4 400-500 222 18.0 500 225 18.3 7 0.6 199 16.2 370 30.0 361 29.3 302 24.5 1,232 908 73.7%, 324 26.3%. 62.7% 46.7%. 20~40, 60 2.9%.,., 3.2%. 2 2 (N=908) (N=324) 73.7 26.3 62.7 37.3

2 35 (N=908) (N=324) 46.7 53.3 15-19 12.8 0.0 20 26.1 0.3 30 27.1 3.4 40 21.8 15.1 50 9.4 33.3 60 2.9 47.8 18.3 35.5 16.1 16.4 24.1 2.8 16.7 40.4 23.2 0.0 / 1.5 4.9 3.2 28.1 47.7 63.3 49.1 8.6 200 1.7 14.8 200-300 18.8 25.6 300-400 38.5 34.3 400-500 19.6 13.6 500 20.6 11.7 0.8 0.0 14.1 21.9 30.2 29.6 29.1 29.9 26.7 18.5 2.,,,. ( =1, =0).,,. 50..

36 (Omnivore) (tolerant) (proxy variable). TV,,,. 5 0,,, 1,.,,.. 10 =1, =0 Z-score. Z-score ( ).,, PDA/,, PMP, MP3, Dvix, TV, /. 2 3 TV (N=1,232) 1) / 2) / / 3) / 4) / / 5) 6) / 7) 8) / / 9) 10) / 11) / / ~ (5 ) 1-3 =0 ( ) 4-5 =1 ( ) 0-1

2 37 TV (N=1,232) (N=1,232) (N=1,232) 1) / 2) /R&B 3) / 4) / 5) / 6) 7) / 8) 9) / 10) 1) / 2) / 3) / 4) / 5) / 6) SF/ 7) 8) 9) 10) ( ) 1) / 2) / / 3) 4) / 5) 6) / 7) 8) / / ~ (5 ) 1-3 =0 ( ) 4-5 =1 ( ) ~ (5 ) 1-3 =0 ( ) 4-5 =1 ( ) ~ (5 ) 1-3 =0 ( ) 4-5 =1 ( ) 0~11 0-1 0~10 0-1 0~10 0-1 0~8 18. 1.0.

38 2 4.801.118.195.117.730.144.324.037.721.225.214.139.703.194.306.153 /.690.494.040.092 /.671.480.083.150.629.216.560.050.283.801.262.072.071.799.234.290.172.799.148.242.365.736.205.068 / / /.490.583.095.117.451.181.759.106.456.263.729.110.106.324.662.403.248.118.055.794 / -.026.187.190.779 /.253.506.095.529 4.55 3.96 2.39 1.96. 6 1.,,,,, 5, 2 2.

2 39 2 2 ( ) 2 3 8.. 2 3

40 3. :,... 2 5 (1) 1 B ( ) 18.914.857 ( =1).090.270.015 -.021.015 -.068 -.606*.247 -.118.478***.097.235 _.057.116.023 _.274.143.092 _ -.077.118 -.030 _.191.133.066 -.025.034 -.034 R 2 0.090 * p<0.5, ** p<0.01, *** p<0.001 4 2 6..,. TV,, (+)..

2 41 2 6 (2) 2 B ( ) 17.872.705 ( =1) -.452*.197 -.075 -.035***.008 -.144 -.321.177 -.059.311***.072.140 -.017.025 -.023 TV.159**.055.099.022.067.012.227***.057.153.195**.065.110 -.093.059 -.050 * p<0.5, ** p<0.01, *** p<0.001 3,,. TV,,. 2 7 OLS : (3) 3 B ( ) 17.827.709 -.443*.196 -.073 -.031**.010 -.125 -.342.178 -.063.297***.073.134 -.014.025 -.019 _ -.125.100 -.041 _.189.108.062 _ -.111.099 -.037 _.131.100.043 -.102.061 -.055

42 3 B TV.165**.055.102.027.067.015.227***.057.152.194**.065.109 R 2 =0.150 6 2.,,.. TV,,.. 2 8 : B S.E, Exp(B) ( =0) -.017.149.984 ( ) -.017.007.983 -.044.135.957.128.055 1.137 -.018.019.982 _ -.346.077.708*** _.082.083 1.086 _ -.220.074.803** _.212.076 1.236** TV.084.042 1.088* -.084.051.919.144.044 1.155**.120.050 1.128* -.935.542.393 Cox Snell R-.101 Nagelkerke R-.135 * p<0.5, ** p<0.01, *** p<0.001

2 43..,,. TV.. 2 9 : B S.E, Exp(B) ( =0) -.012.151.988 ( ) -.021.008.980** -.181.138.835.266.058 1.305*** -.015.020.986 _ -.051.077.950 _.147.082 1.158 _.092.075 1.096 _.035.076 1.036 TV.120.042 1.127** -.041.051.959.098.045 1.102*.165.050 1.180** -2.430.555.088 Cox Snell R-.111 Nagelkerke R-.150 * p<0.5, ** p<0.01, *** p<0.001 ( < ), (-), (+), (+). TV,,.

44 2 10 OLS : (1) B ( ) 18.851 1.229 15.334 ( =1) -0.948** 0.343-0.086-2.762-0.090*** 0.015-0.202-6.137 1.027** 0.308 0.105 3.329 0.295* 0.126 0.073 2.334 0.014 0.044 0.010 0.322 0.635*** 0.104 0.188 6.124 TV 0.239* 0.096 0.082 2.498 0.317** 0.117 0.095 2.706 0.487*** 0.100 0.180 4.887-0.164 0.114-0.051-1.441 R 2 0.211 * p<0.5, ** p<0.01, *** p<0.001 t 6%.,,. TV. (+)....

2 45 2 11 OLS : (2) B t ( ) 19.299 1.194 16.163 ( =1) -.956*.331 -.087-2.890 -.037*.016 -.084-2.330.716*.300.073 2.390.208.122.052 1.698 -.009.042 -.006 -.205 _.472**.168.086 2.806 _.788***.182.142 4.319 _.544**.167.099 3.260 _ 1.199***.168.217 7.139.439***.103.130 4.242 TV.198.093.068 2.139.298**.113.089 2.630.458***.096.169 4.761 -.182.110 -.057-1.662 R 2 0.271 * p<0.5, ** p<0.01, *** p<0.001

46 3,.,.,,,. 3,,,,. 1 1...,..

3 47., (active digital footprint) (passive digital footprint).,.,, (Wikipedia). 4) (feedback),, (Resnick et al., 2000).. (recommendation system),.. (Dellarocas, 2003)...,.,,,. 4) http://en.wikipedia.org/wiki/digital_footprint

48... 2.,.. Esfandiari Chandeasekharan(2001). (exploratory protocol) (query protocol). Carter (2002) 5,,,,,.,. Sabater & Sierra(2005) (information source).,,, 4.

3 49,.. Resnick(2000).,. Resnick (Shadow of the Future). Resnick. Dellarocas(2003).,.,..,,,,.

50 2., (Jøsang et al., 2009). 1. (Centralized Reputation Systems) (transaction)... (ebay) (Amazon).,, (peer).,.

3 51 3 1 : Jøsang et al. (2009) 3 1 A B,.,,.,.. (ebay) (Feedback Forum), (Expert Sites), (Epinions), (BizRate), (Amazon) (Product Review Site), (Slashdot), (Kuro5hin) (Discussion Fora), (Google) (Web Page Ranking System), (Supplier Reputation Systems),

52 (Scientometrics). 2. (Distributed Reputation Systems),. DHT(Distributed Hash Table),.,..,... (Napster) P2P.

3 53 3 2 : Jøsang et al. (2009) (content-driven reputation system). Adler Alfaro(2006),.... 3 (Reputation Computation Engines).,.

54,. (rating)..., (Bayesian Systems). (beta probability density functions)..., (Discrete Trust Models). (discrete verbal statements).. (very trustworthy), (trustworthy), (untrustworthy), (very untrustworthy)., (Belief Models)., 1,. A B D, C D. 2 (path) A B D A C D, A D B A, C A. A D., (Fuzzy Models).,

3 55. A (True=1), (False=0). A 0 1. 5).., (Flow Models).. (PageRank).... A B, C, D 3 B A 1/3. (Random Sufer). A A, A. (Damping Factor) α, B α*1/3.,..,,,,. 5) (Grade of Membership).

56,,,,. 4... 1., (rating)..., (bias). Resnick & Zeckhauser(2002) 0.6%, 1.6%..., (unfair ratings), 2. (endogenous discounting of

3 57 unfair ratings), (exogenous discounting of unfair ratings)., (change of identities). (identities) (pseudonyms)..., (quality variations over time)...., (discrimination).,..., (ballot box stuffing).....

58 2.,. Jøsang (2009)., (accuracy for long-term performance).. (entity)., (weighting toward current behaviour)..,,., (robustness against attacks)..,.., (smoothness).,. 5

3 59 in,,,,,,., 4.. 1. in in 2002 10 7,.. 2004 in DB 1, 2009 4 4. 3 3 in

60 in,,.,. in 2008 2,. in 3 1. in,,,,. 3 1 in +25 +25, ( ), + 50%,,, ( ) 50% +5~100 1 +200, 200 ( 1 ) in in.,, 2.

3 61 3 2 in 5 50% 30 60% 70 65% 150 350 70% 650 1.000 1,300 75% 1,700 2,300 3,000 80% 4,000 2009 in in,. in, Q&A. in. in,,,,.,. in,.,,.

62 in,.,.. in. Q&A,.......,. in.,. 1 1.. in,,.

3 63 in. in 1.,.,.. 1,500,.. (Arbitration Committee).,. in..,.. 2. (Daum) 2003 3. 2004 12.

64,,,,.. 2008.,. PD. TV....... 2008 7 IP, /.,,,,. 2009 4 22.

3 65,,,,,,, ID IP. 2009 5 29,,,. IP 1. ID,. ID. ID. ID 10. 20, 20,., 2008 4 1 ~18 ( ) 10 (ID ) 21,810. 1 3,170, 10 1,561 10 1 20~40.. 2008 2009,.

66 3. (Metablog).. Meta( ) Blog( ). RSS(Really Simple Syndication) Atom..,.,,,,.. (Daum View) (http://view.daum.net) 2009 5.,. (View On).,,.,,.

3 67 3 4., 40.

68 12 6) 7.,,,, IT,,,..... 1~3... (Allblog) (http://www.allblog.net). ' '.. ( )... 6) view. view, view,.

3 69 2007 6.. 2007 7.,. 3 5,,

70,.. (Blogkorea) (http://www.blogkorea.net) 2003. RSS RSS. 3 6,.,..

3 71,...,,. RSS,, 3.,.,. RSS....,,,,,,,,,,.,,. 3, 6.,.,

72,. 2003 2005 11., 2007 4 U 2007 7.. (RevU) (http://www.revu.co.kr) 2006.,,.,.,,.

3 73 3 7. ( ). 1 1,... 1, 2, 3

74.... (Mixsh) (http://www.mixsh.com). RSS...,. 3 8

3 75., mixup. mixup 5. 5 mixup,. ( 30 ),,,. ID mixup mixup. mixup.,. 300. mixup.,.,... mixup..

76 4... in.,.,.,.,,. in. in.,.,..

3 77,.... in.....,,. RSS,, (blogroll),,, ( ), (Pagerank),,.,..

78,. TV,...

4 79 4 1..,, (information asymmetry).,,.... (twin consumer)...,..

80. (information overload)..,..,.,,.,,.,.... (collaborative filtering) (contents-based filtering)...,,

4 81. 2 1... (buzz marketing), (viral marketing).,.,, (, 2006). (word of mouth) word of mouse, (electronic word of mouth)...,.,,.,,,

82,,..,, 41.2% (14.1%) (, 2008).. 50 50, 18.4, 9, 6.5 (, 2007).,. 4 1. 4 1 (face to face) (web-based) (well known) (anonymous) (strong tie) (weak tie) (spoken word) (written word),,, (, ),, : (2006)

4 83,,,..,,.,,. 1 7).,. 2..... 7), (, 2006).

84 (, 2002), (, 2008).. (, 2008).. Pavlou Gefen(2004) (perceived effectiveness of the feedback mechanism).,,. (2005),. Bickert Schindler(2001),,,.,,.. (2004),,,. (2008),,,

4 85,,,.,,,.,..,,,.. 3... (auction site), (Zhou et al., 2008). (asymmetric information),..,

86.,, (Resnick et al., 2006).... (Zhou et al, 2008; Resnick et al., 2006; Dellarocas, 2003; 2006)., (Resnick et al., 2006).... Zhou (2008)., (shilling), Id. (setup costs) (opportunity costs)

4 87.,.,..,. -,., ID, ID.,., (Resnick et al., 2006).,,.,., (Bayesian calculation).., Korsgaard Jensen (2009) (logical components)., (feedback repository).., (reputation calculation).., (identity management).

88 IP,., (interception mechanism). (legacy system). Marti Garcia-Molina (2006), P2P (functionality),. (peer). ( ), (expected reliability) ( ), ( ). 4 2. 4 2 (information gathering) (scoring and ranking) (response) identity scheme good vs. bad behavior incentives information sources quantity vs quality punishment information integrity stranger policy time-dependence : Marti and Garcia-Molina(2006).,, (anonymity), (spoof-resistant), (unforgeable).,. (personal experience),

4 89 (external trusted sources), (trusted peers), (global history). (credibility). (trade-off).,... (trustworthiness). 2,. (social network),.., (strangers).. (continuum)...

90.. (quality) (quantity).. (time),. ( ), (1 10 ).. P2P (speed), (quality), (quantity).. 3 1. 1998 4,., C2C B2C.,. (marketplace model)

4 91.,,. /,. 4 1 /,. 2008 1 30 (, 2009)., ( 4 1 ). 1,

92....,,. 3,. 4 2, ( 4 2

4 93 ).,.,,,. Level 1 Level 7, 1.,.,,.. 2006 10.,,, (, 2009). 2. 6..

94,,.,...,,..,,.,,.....

4 95.,,..,....,.,..,...

96,.,..,,,., 3....,., ( ) (3 ),..,.

4 97 3,..,. C C. 2005 C, 6 8. 00.,,. C.,.. 3. 1995,.,..

98.. 1( ), 0( ), -1( )..., 1, 1. (shilling) (Zhou et al, 2008). (net reputation scores).. 2003 (%).,,.. 0, 30. ID, 0. ID (Zhou et al, 2008).

4 99 4 3 4 3.,,.,..... (, 2009). Yellow Star

100 Silver Shooting Star 12. (Resnick et al., 2006). 50%..,. 1%, 2%... 4. 1995 7,, DVD,,,... (rating) (review)... I

4 101 Hate it I Love it 5 ( 4 4 ).,.,. 4 4. 13..

102,. 4 5,..,.,, (, 2009). 4 5

4 103 4 5,..,.. 4 6.,,,.,. 4 6

104 5. (Wikipedia). ' ' (Wiki philosophy).,,,.. (prior qualification)... 2008 750,. 4 7. Watch Page Discussion Page, Edit Page, History Page,. 4 7

4 105.,. Jimmy Wales 10...,,. 2006 1 IP. (personal battleground). (correctness), (completeness), (impartiality) (Korsgaard and Jensen, 2009).., (user interface). (collaborative authoring system), (reputation system) (opt in)..,

106.,...,., (reputation value).,.. (trust).,..,. (Dondio et al., 2006; Adler et al., 2007). Dondio (2006) (revision history).,,, (content based evaluation). Adler (2007)

4 107.,. 4 (web-based recommendation system)... (collaborative filtering), (contents-based filtering), (hybrid filtering) (, 2009).,. 1. (collaborative filtering),.,. (behavioral approach)

108 (Laudon and Traver, 2007)., (let the data speak for itself). MIT, Firefly. (,, 2009)., (, 2008).,,.,. (word-of-mouth) (,, 2008)., (,, 2009).,, (sparsity). (scalability).

4 109 2. (contents-based filtering). (, 2008)., (user preference profile).,.. (, 2008)..,..,.

110 (, 2009)..,,.... 5, (heuristic).,. 2.0,.,,,

4 111. (signal) (incentive) (Dellarocas, 2003).,.,,.,,.,,., (source) (Sabater and Sierra, 2005).,,.,...,.,,

112.,..,.,.,,,,.,.,.,.,, (user-friendly interface).,.,...

4 113..,.,.

114 5 1.,...,, 10 1 (SK, 2009),.,,.

5 115 (filtering process).,..,.,.,.,???,,? (cognitive authority)?.,

116. 2 1.,,, (Johnson and Kaye, 1998; Self, 1996).,.. (agenda setting) (opinion construction).,.. (believability)

5 117 (trustworthy) (expertise) (Castelfranchi and Tan, 2002)., (Fogg, 1999)..,,., (Belkin, 2000).,.,,, (label)..,. 2.,..

118. (Bunn, 1993).,, (Fogg and Tseng, 1999).,.,. 5 1,,,,,,,. 5 1,,,..,..

5 119 5 1,,,,,,,..,,,,. 3.? (Dellarocas, 2003)..

120, (Lin, 2001).., (Plant, 2004)..,,,,,,,,.,. (externality),.,,. (compression),,.,,,

5 121. (Nie and Ebring, 2000).,.,. (, 2008).,,, (Durwin, 1997)..,,,,,..

122,. (, 2008)...., (Johnson and Kaye, 1998).,.,., (blind faith) (blind skepticism) (Tyler and Cook, 1984).,.

5 123,.. 3 1., (Multidimensional Scaling Method) (Focus Group Analysis).,,,,,,, (Neuman, 2000)..,,.,,, (Quintana et al, 2001).

124, (, 2007).,. (filtering mechanism),,.,,.,..,.,, (Corritore et al., 2003).,,.,

5 125,. 5 2,,,,,,,,, 5 2..,, (, 2007).,,..

126,.,., (Nass and Moon, 2000).,... 2. 5 3. (source) (media), (message),.,.

5 127 5 3,,,,,.,,,.,,.,,.. (Ba, 2001;,, 2007)..

128.?. 5 1,... (iterative)....??,,,,..,,,,.

5 129 5 1.,,,...,,

130,,,..,,,.,....,..,..

5 131,,., (incredulity error) (correct rejection) (Rodman, 2003)...????,,.,. 4 1..

132. (cognitive authority system). (Wilson, 1983).,. (misinformation) (disinformation),,........

5 133,,, (Simon, 2001)... (1),. (2). (3),. (4). (5).,.,,,.

134,,.,.. 4....,.,,.,.. 2.

5 135.,. (downstream filtering) (upstream filtering) (Beniger, 1996).,. 5 4.,,,...,,..,

136.. 5-4,, (upstream) (downstream) (multiple media) 3...

5 137,.,. (Lessig, 1999). 5,.,. (Giddens, 1990; Shapiro, 1999).,.. 5-1,,, 4.

138,.,. (upstream filtering)..,..,.,. (Walters, 2001). 3.,,

5 139.. (Sztompka, 1999).,... (public goods).. (Jenson, 2003).....

140., (inter-subjective).... (reputation system board)...,...

5 141,.,,. (unitary system).

142 6 : 1,.. (2009: 111).. (Koehn, 2003),,,.... (trustee).,,...

6 143.,..,.,,.,. 10... -... (customization)... (trustor)..

144....,... (AdWords),.,.,,... (Hargittai, 2008)....

6 145 (popularity).....,. 2,... /... 1.,,,,.,.

146,,,,,. 6 1 70%,,,.,..,

6 147 2006. 6 2 (2009 ) : (http://www.acecounter.com) (PPC).. (SEM: Search Engine Optimization).

148,. (crawler) /,...,.,.. NHN 2004 4.. (PageRank).. 2. (collaborative filtering)..

6 149,, (clickstream).,,,.,...,. (sparsity) (scalability).,.,....

150 3 (robustness) Jøsang (2009),,,...,.,. (performance)....,. 1

6 151. (testbed),,...,,..,,..

152 6 3 4,. Consumer Reports WebWatch' 8). Consumer Reports WebWatch,

6 153,,.,,.. 6 4 Consumer Reports WebWatch Consumer Reports WebWatch,,,,,,,,,,. 9) 8) http://www.consumerwebwatch.org/ 9) http://www.consumerwebwatch.org/consumer-reports-webwatch-investigations.cfm

154,,.,..

155, (2008),, 42, pp.44~78., (2005),. 11(1), pp.191~205., (2009), -, Journal of Information Technology Application & Management 16(1), pp. 97~113. (2004), :, 9(1), pp. 161~188. (2008),, 25(4), pp.185~204.,, (2002),, 17(4), pp.77~98.,,, (2008),, 2008., K. (1998),, ( ),., (2005),, ( ),., (2009),, ( ),., (2008), P2P, 11(10), pp.1338~1346.

156 (2008),, 37(4), pp.957~988., (2007), :, 14(3), pp.5~32., (2005), :, 16(2), pp.145~171. (2007),, 7(4), pp.79~111. (2009),,., (2007),. 9(4), pp.7-45.,, (2007), 2.0,.,,, (2006),,.,, (2008), :, 9(2), pp.15~34. (2007),,.,,,, (2009),, 16(2), pp.273~280. (2008), 2008. SK (2009),,.

157 Adler, B. T., J. Benterou, K. Chatterjee, L. de Alfaro, I. Pye and V. Raman. (2007). Assigning Trust to Wikipedia Content. Technical Report UCSC-CRL_07_09. Ba, S. (2001). Establishing Online Trust Through a Community Responsibility System. Decision Support Systems 31(3), pp.323~336. Becker, H. S. (2008 [1982]). Art Worlds. Berkeley: University of California Press. Belkin, N. (2000). Helping People Find What They Don't Know. Communications of the ACM 43(8), pp.58~61. Beniger, J. (1996). Who Shall Control Cyberspace? Communication and Cyberspace. L. Srate et al. NJ: Hampton, pp.49~58. Bolton, G. E., E. Katok, and A. Ockenfels. (2003). How Effective Are Electronic Reputation Mechanism? An Experimental Investigation. University of Cologne. Working Paper Series in Economics. Bunn, M. (1993). Consumer Perceptions of Medical Information Source: An Application of Multidimensional Scaling. Health Marketing Quarterly 10, pp.83~104. Carter, J., Bitting, E., & Ghorbani, A. (2002). Reputation formalization for and information=sharing multi-agent system. Computational Intelligence 18(20), pp.515~534. Castelfranchi, C. and Y. Tan. (2002). The Role of Trust and Deception in Virtual Societies. International Journal of Electronic Communication 6(3), pp.55~70. Corritore, C., B. Kracher, and S. Wiedenbeck. (2003). Online Trust: Concpets, Evolving Themes and Models. International Journal of Human-Computer Studies 58(6), pp.737~758. Dellarocas, C. (2003). The Digitization of Word of Mouth: Promise and Challenges of Online Feedback Mechanisms. Management Science 49(10), pp.1407~1424. (2006). Strategic Manipulation of Internet Opinion Forums: Implications

158 for Consumers and Firms. Management Science 52(10), pp.1577~1593. Dondio, P., S. Barrett, S. Weber and J. M. Seigneur. (2006). Extracting Trust from Domain Analysis: A Case Study on the Wikipedia Project. Autonomic and Trusted Computing, pp.362~373. Durwin, B. (1997). Given a Text by any Other Name: Methodological Tools for Taming the Unruly Beast. In P. Vakkari, R. Savolainen and B. Dervin(eds.). Information Seeking in Context. London: Taylor Graham. Esfandiari, B., Chandrasekhanran, S. (2001). On how agent make friends: Mechanism for trust acquisition. Proceedings of the Foruth Workshop on Deception, Fraud and Trust in Agent Societies, Montreal, Canada, pp.27~34. Fogg, B. and H. Tseng. (1999). The Elements of Computer Credibility. Conference on Human Factors and Computing Systems, Pittsburgh, PA, May, pp.15~20. Fogg, B. (1999). Persuasive Technologies, Communications of the ACM 42(5), pp.26~29. Giddens, A. (1990). The Consequences of Modernity. CA: Stanford University Press. Hargittai, Eszter. (2008). The Role of Expertise in Navigating Links of Influence. The Hyperlinked Society. Joseph Turow and Lokman Tsui(eds.). Ann Arbor, Michigan: The University of Michigan Press. Jenson, M. (2003). A Brief History of Weblogs. Columbia Journalism Review 42(3), pp.22~23. Johnson, T. and B. Kaye. (1998). Cruising is Believing? Comparing Internet and Traditional Sources on Media Credibility Measures. Journalism and Mass Communication Quarterly 75, pp.325~340. Jøsang, A., R Ismail, C Boyd. (2009). A Survey of Trust and Reputation Systems for Online Service Provision. Decision Support Systems. Koehn, Daryl. (2003). The Nature of and Conditions for Online Trust. Journal of

159 Business Ethics 43, pp.3~19. Korsgaard, T. R. and C. D. Jensen. (2009). Reengineering the Wikipedia fo Reputation. Electronic Notes in Theoretical Computer Science 244, pp.81~94. Laudon, K. L. and C. G. Traver. (2007). E-Commerce, Pearson Prentice Hall. Lessig, L. (1999). Code and Other Laws of Cyberspace. NY: Basic. Lin, N. (2001). Social Capital: A Theory of Social Structure and Action. Cambridge: Cambridge University Press. Marti, S. and H. Garcia-Molina. (2006). Taxonomy of Trust: Categorizing P2P Reputation Systems. Computer Networks 50, pp.472~484. Nass, C. and Y. Moon. (2000). Machines and Mindlessness: Social Responses to Computers. Journal of Social Issues 56(1), pp.81~103. Neuman, W. (2000). The Impact of the New Media. In Mediated Politics. W. Bennett et al. Cambridge: Cambridge University Press. Nie, N. and L. Ebring. (2000). Internet and Society. Stanford: Institute for Quantitative Studies Society. Pavlou, P. A. and D. Gefen. (2004). Building Effective Online Marketplaces with Institution-based Trust. Information Systems Research 15(1), pp.37~59. Plant, R. (2004). Online Communities. Technology in Science 26, pp.51~65. Quintana, Y., Feightner, J. Wathen, C. Sangster, L. and J. Marshall. (2001). Preventive Health Information on the Internet: Qualitative Study of Consumers' Perspectives. Canadian Family Physician 47, pp.1759~1765. Rao, H. (1994). The social construction of reputation: certification contests, legitimation, and the survival of organizations in the American automobile industry: 1895-1912. Strategic Management Journal 15(Winter Special Issue), pp.29~44. Resnick, P. K Kuwabara, R Zeckhauser, and E Friedman. (2000). Reputation System:

160 Facilitating trust in the Internet interactions. Communication of the ACM 43(12), pp.45~48. Resnick, P., R. Zeckhauser, J. Swanson and K. Lockwood. (2006). The Value of Reputation on ebay: A Controlled Experiment. Experimental Economics 9, pp.79~101. Rodman, G. (2003). The Net Effect: The Public's Fear and the Public Sphere. In Virtual Publics. B. Kolko(eds.) NY: Columbia University Press, pp.11~48. Sabater, J. and C. Sierra. (2005). Review on Computational Trust and Reputation Models. Artificial Intelligence Review 24, pp.33~60. Self, C. (1996). Credibility. In M. Salwen and D. Stacks(eds.) An Integrated Approach to Communication Theory and Research. NJ: Erlbaum. Shapiro, A. (1999). The Control Revolution: How the Internet is Putting Individuals in Charge and Changing the World We know. NY: Century Found. Shek, S. P. W. and C. L. Sia. (2007). Using Reputation System to Motivate Knowledge Contribution Behavior in Online Community. PACIS(Pacific-Asia Conference on Information Systems). Simon, J. (2001). The Impact of Culture and Gender on Web Sites: An Empirical Study. Database for Advances in Information Systems 32(1), pp.18~37. Sztompka, P. (1999). Trust: A Sociological Theory. Cambridge: Cambridge University Press. Tyler, R., and F. Cook. (1984). The Mass Media and Judgments of Risk: Distinguishing Impact on Personal and Societal Level Judgments. Journal of Personality and Social Psychology 47, pp.693~708. Walters, J. (2001). Privacy and Security: An Ethical Analysis. Computers and Society 31(2), pp.8~23. Wilson, P. (1983). Second-Hand Knowledge: An Inquiry into Cognitive Authority. CT:

161 Greenwood Press. Zabala, I., Panadero, G., Gallardo, L.M., Amate, C.M., Saanchez-Galindo, M., Tena, I. and. Villalba, I. (2005). Corporate Reputation in Professional Services Firms: Reputation Management Based on Intellectual Capital Management. Corporate Reputation Review 8(1), pp.59~71(13) Zhou, M., M. Dresner and R. J. Windle. (2008). Online Reputation Systems: Design and Strategic Practices. Decision Support Systems 44, pp.785~797.

5 / 2009 12 2009 12 2 38( 1-1) TEL: 570-4114 FAX: 579-4695 6 ( ) ISBN 978-89-8242-661-2 94320 978-89-8242-665-0 ( )