2. Believe it or not 3.
http://news.sbs.co.kr/news/endPage.do?news_id=N1002578431 4. '
(Kodak Moment) 5. , , , N-Screen 6.
http://blog.naver.com/PostView.nhn?blogId=strong7515&logNo=50112482874
7. The old
worldhttp://www.slideshare.net/andywilliamson/policom2013-williamson-33284706?utm_source=slideshow&utm_medium=ssemail&utm_campaign=upload_digest
8.
http://www.slideshare.net/andywilliamson/policom2013-williamson-33284706?utm_source=slideshow&utm_medium=ssemail&utm_campaign=upload_digestThe
world we live in 9. 10.
https://www.kocca.kr/knowledge/publication/indu/__icsFiles/afieldfile/2012/01/16/BzvoWMuStOEx.pdf
11. Annals of TechnologyStreaming Dreams: YouTubeturns pro.On TV,
airtime is a scarce resource;on YouTube, its infinite 12.
http://www.youtube.com/user/TheKARAOKEChannel 13. (2012. 1). . .
p.94. . 14. ,Fact 15. van Dijk (2012, p.220) 16.
http://novaspivack.typepad.com/nova_spivacks_weblog/2007/02/steps_towards_a.html
17.
http://www.youtube.com/watch?feature=player_embedded&v=iIKPjOuwqHo
18.
http://ec.europa.eu/enterprise/policies/innovation/policy/business-innovation-observatory/files/infographics/big-data_en.pdf
19. Data-driven Research that focuseson extracting meaningful data
fromtechno-socio-economic systems todiscover some hidden patterns.
20. A Brief History of Applause, the 'Big Data' of the Ancient
Worldhttp://www.theatlantic.com/technology/archive/2013/03/a-brief-history-of-applause-the-big-data-of-the-ancient-world/274014/
21. : http://nec1963.tistory.com/1445 22. :
http://datajournalism.stanford.edu : _mistress 23. Social Data
journalism Precision journalism + Investigative journalism Computer
Aided Journalism/Reporting (CAR) Journalism 2.0 Open journalism
Infographics journalism Interactive journalism Multimedia
journalism Location-based journalism Social media journalism 24.
Newstapa & Data Journalism 25. Newstapa & Data Journalism :
https://www.youtube.com/watch?feature=player_embedded&v=HKCQgGcGmOs
26. [2014 SNS ]51 19 51 15(29.4%) . 7(13.7%)
2.http://news.donga.com/3/all/20141024/67404060/1 27.
http://news.sbs.co.kr/news/endPage.do?news_id=N1002560608 28. 29.
50 11 ... 1?http://insight.co.kr/view.php?ArtNo=9589 30. YTN 4
20http://www.ytn.co.kr/search/search_view.php?s_mcd=1305&key=201312211057568922
31. ! > - Andrew Sullivan- - New York Times 30 7 - - 5.4 32. The
New York Times 512 Paths to the White House 33.
http://graphics.wsj.com/house-midterm-elections-facebook/ 34.
http://www.youtube.com/watch?v=UCoE-DD42c8 35.
http://www.youtube.com/watch?v=UCoE-DD42c8 36. (THM) THM: , 3 , :
http://www.imediaconnection.com/content/31333.asp 37. : (2010),
(2011), . 24. 38. VS : (2010), (2011), .: (2013). . .
http://www.slideshare.net/hanpark/20131014-pt 39. Zero
History(2010) Zero History, 2010Wired.com: How about Twitter? More
than mostauthors Ive checked out, your tweet-happy
avatar@GreatDismal seems to be most comfortablemessaging and
cool-hunting on the service. And in thenovel, Twitters consistently
used as a communicationand parenting device, depending on the
spook.Gibson: Well, I discovered Twitter while I was writingthe
novel, and I immediately saw its odd potential forbeing a tiny,
private darknet that no one else canaccess. Im always interested in
the spooky repurposingof everyday things. After a few days on
Twitter, whatwas most evident to me is that, if you set it up
right,its probably the most powerful novelty aggregatorthat has
ever existed. 40.
http://www.journalism.org/2014/10/21/section-2-social-media-political-news-and-ideology/
41. http://bengrosser.com/projects/facebook-demetricator/ 42. What
are youdoing? 43. ? , , 44. < >(2013 =6,240, 2011 =6,669, :
%)2013 2011 MP3 PMP MP3 PMP10 85.5 17.2 3.7 28.4 50.6 12.320 96.2
18.5 5.8 57.9 43.6 8.630 94.2 14.3 2.8 45.5 19 3.740 81.3 9.8 2.1
23.6 13.3 2.750 51.3 4.7 1.7 7 3.5 16010.9 2.2 0.5 1.6 2.2 0.3:
KISDI STAT Report(14-06-02) 20 45. KISDI STAT Report(14-06-01) 46.
< > : KISDI STAT Report(14-06-01) 13~19 20~29 30~39 40~49
50~59 60 5.08 4.94 4.80 5.00 4.71 5.04 4.59 4.96 4.78 4.96 4.51
4.755.04 4.97 4.53 5.02 4.79 5.03 4.59 4.97 4.80 4.97 4.51 4.784.95
4.88 4.71 4.93 4.57 4.97 4.62 4.86 4.70 4.88 4.44 4.66 47.
(ViewerTariat) Anstead & O'Loughlin(2009) (viewertariat) TV SNS
: (viewer) (proletariat) 2009 10 22 BBC Question Time British
National Party Nick Griffin 48. SNS -(pseudo-communal) 49. Why Lost
is genuinely new media 50. 51. - Device 52. - Device 53. : TBC 54.
TBC: TBC (www.tbc.co.kr)- , , TV, , , , - - / , 55. TBC: - 2~3 - )
TBC (2014 11 19) 56. TBC: Facebook * TBC - 2014 ( 3), 2013 ( 12)-
111 57. TBC: Facebook Facebook - - 2014 3 58. TBC MBC TBNKNN MBC
KBS MBC KBSSBS ( ego network)2012 8 22 1000~2000 . , 59. :
http://reportplus.kr/?p=7761: (2013). tool: CAR SAR, 2013 IRE . .
9/10. 60. CAR SAR : http://reportplus.kr/?p=7761 61. : 62. ?News is
undergoing biggest,messiest change ever Joseph Lasica (2011) , , ,
, , . 63. (Lasica, 2011) , , , , , , , , () 64. Jay Rosen (2009): ,
, . Dan Conover (2020 vision: Whats next fornews): , , , 65. : 66.
:
5http://sm4good.com/2014/06/12/social-media-crisis-mapping-typhoon-haiyan/
67. 1. SAH : Source-Authority-Hub (Hub; H) UCC , 1 (produser) SAH '
'() 68. , , . , SNS 69. Weather.com
http://life.daegu.com/http://www.weather.com/weather/hourbyhour/graph/KSXX0037
70. http://event.zum.com/2015univ 71. 2. COPE : Create Once
PublishEverywhere OSMU(One Source MultiUse) COPE(Create Once
PublishEverywhere) OSMU , COPE (Benjamin etal.,
2011)http://www.the-pr.co.kr/news/articleView.html?idxno=6813 72.
http://www.clickz.com/clickz/news/2336996/80-of-marketers-will-run-cross-channel-marketing-campaigns-in-2014-study
73. 1) : . , . 74. 3. IR : Interactive & Responsive 2.0
(Interactive & Responsive; IR) , SNS 75. 2) SNS - , , , 3) - ,
- 76. Geah Pressgrove (2012). Top U.S. Nonprofits Use of Web 20 to
achieve dialogical potential. A paper presented atthe Social Media
and PR Session, International Communication Association. Phenoix,
AZ: USA. 77. 4. Viewertariat as Producer: SNS , 78. : 79. :
https://www.youtube.com/watch?v=uAPuruw4aNg 80. :
https://www.youtube.com/watch?v=2wgewvwjAJM 81. 1) , SNS .2) . / .-
SNS , . 82. 2014 10 31 10 27 3 , 2 1- . 2-. .3- 83. Co-inlink , 3 3
84. 5. MeFormer: Mediated inFormer VSinForming about Media content
Meformer: 80% (Naaman et al. 2010) ( ) (Mediated inFormer) 85. - ,
, - . 86. San Francisco turns into Gotham city for Batkid Young-Jin
KWON, mayor of Daegu MetropolitanCity, will help make your wishes
and dreamscome true 87. : http://onlinejournalism.co.kr/1196230960
88. : http://mmto.egloos.com/744536 89. : , (2013.11.5) , [] 6 ,
90. 91. http://zezecool.tistory.com/17 92. Guardian 10 It may be
trendy but its not new Open data means open data journalism Has
data journalism become curation? Bigger datasets, smaller things
Data journalism is 80% perspiration, 10% great idea, 10% output
Long and short-form Anyone can do it but looks can be everything
You dont have to be a programmer Its (still) all about
storieshttp://www.guardian.co.uk/news/datablog/2011/jul/28/data-journalism
93. Prof. Han Woo PARKWorld Class University Webometrics
InstituteCyberEmotions Research CenterDepartment of Media and
Communincation,YeungNam University,
[email protected]://www.hanpark.netWCUWEBOMETRICSINSTITUTEINVESTIGATING
INTERNET-BASED POLITIC WITH E-RESEARCH TOOLS
