고이동성 ( 모바일 ) 소셜 미디어에서 유력자 (influential) Part

4

박한우영남대학교 언론정보학과 교수

미국 뉴욕주립대 ( 버팔로 ) 박사WCU 웹보메트릭스 연구단장

hanpark@ynu.ac.kr http://www.hanpark.net

http://english-webometrics.yu.ac.kr

한국정보통신정책연구원 (KISDI) 2010 4 월 특강 자료

http://dl.dropbox.com/u/217099/Anstead_OLoughlin_BBCQT_Twitter_Final.pdf

The Emerging Viewertariat: Explaining Twitter Responses to Nick Griffin’s Appearance on BBC Question Time

• an alternative viral was circulating during this period. This is the hyperlink Twitpic.com /mie5s, which leads to a photograph of Nick Griffin at National Front demonstration in the seventies. This is a very different kind of viral as, while obviously related to the content of the programme, it does not so obviously replicate a comment on screen, instead annotating the discussion with extra information. This leads to a very different pattern of information dissemination, with retweets being far more significant, as is shown in Figure 3. Furthermore the distribution of references is very different, with early comments being fairly isolated events, and the content only going viral after it has been circulating for a few minutes. Indeed, the hyperlink is present and already being shared at the very beginning of the programme. However, it is a long time before it starts to feature as one of the most frequently cited terms. This suggests a different model of information production – in this case, a specialist piece of research, outside the bounds of programme content, has occurred and then gradually been circulated. gradually been circulated. gradually been circulated.

The Emerging Viewertariat: Explaining Twitter Responses to Nick Griffin’s Appearance on BBC Question Time

http://dl.dropbox.com/u/217099/Anstead_OLoughlin_BBCQT_Twitter_Final.pdf

• Viewertariat

• a group that responds and gives meaning to events on screen, offering real-time feedback.• The researchers examined viewers` reactions on Twitter to British National Party leader Nick

Griffin`s controversial appearance on Question Time, the flagship BBC debate show.• The quthors analysed 43,730 tweets posted before, during, and after the episode of Question

Time, which was broadcastiong from 10.35pm to 11.40pm on October 22 last year. • "Obviously only a small cross-section of the population use Twitter of blog themselves, but

the numbers are still significant and growing • The most prolific individual tweeted 84 times during the Question The most vocal 20pc of

commentators produced more than half the tweets related to the programme, with seven tweets each. The average number of tweets per minute for the scheduled duration of the broadcast was 673.

• The highest number of tweets, 1257, occurred at 23.20, just after Bonnie Greer made comments about BNP policies and Griffin`s academic qualifications. There was also a rise in the number of very positive terms used, in relation to both Greer`s comments and Griffin`s discomfort at them, as well as what is claimed to be his lacklustre performance.

The Emerging Viewertariat: Explaining Twitter Responses to Nick Griffin’s Appearance on BBC Question Time

http://dl.dropbox.com/u/217099/Anstead_OLoughlin_BBCQT_Twitter_Final.pdf

The Emerging Viewertariat: Explaining Twitter Responses to Nick Griffin’s Appearance on BBC Question Time

http://dl.dropbox.com/u/217099/Anstead_OLoughlin_BBCQT_Twitter_Final.pdf

http://dl.dropbox.com/u/217099/Anstead_OLoughlin_BBCQT_Twitter_Final.pdf

The Emerging Viewertariat: Explaining Twitter Responses to Nick Griffin’s Appearance on BBC Question Time

http://dl.dropbox.com/u/217099/Anstead_OLoughlin_BBCQT_Twitter_Final.pdf

The Emerging Viewertariat: Explaining Twitter Responses to Nick Griffin’s Appearance on BBC Question Time

http://dl.dropbox.com/u/217099/Anstead_OLoughlin_BBCQT_Twitter_Final.pdf

The Emerging Viewertariat: Explaining Twitter Responses to Nick Griffin’s Appearance on BBC Question Time

http://spinn3r.com/rank

Top Twitter User Countries

•

Total : 984

http://blog.sysomos.com/2010/01/22/the-top-twitter-countries-and-cities-part-2/

The Top Twitter Countries and Cities

List of countries based on total number of tweets between Oct. 16 and Dec. 16, 2009. It takes into account 13 million account that were active during that period.

The Top Twitter Countries and Cities

List of the cities where Twitter is the most popular

http://blog.sysomos.com/2010/01/22/the-top-twitter-countries-and-cities-part-2/

• 트위터 사용 행태 >

- 71% 의 사용자가 2009 년 최근 5 개월 내에 가입자 , 대부분 2009 년에 가입 . - 가입자의 85.3% 가 하루에 한 번 글을 올리며 , 21% 는 전혀 글을 안 씀 . - 가입자의 93.6% 는 100 명 이하의 ' 따르는 이 (follower)' 를 보유 . - 상위 5% 이ㅡ 사용자가 트위터 사용의 75% 에 기여 . - 연령별로 25 세 이하가 65%, 25 세 이상이 35% 임 . - 나라별로 미국이 66.93% 로 가장 많으며 다음으로 영국 , 독일 , 캐나다 순 . - 글을 가장 많이 올리는 요일은 화요일 (15.7%) 이고 , 다음은 수요일 (15.68%) 로 나타남 .

김중태 , 모바일 혁명이 만드는 비즈니스 미래지도 , 한스미디어 , 90p

쉘린 리 , 조시 버노프 , ' 그라운드스웰 , 네티즌을 친구로 만든 기업들 ', 2008

위로 올라갈수록 아래쪽에 속한 사람들보다 그라운드스웰 형성에

더 많이 참여하는 소비자 그룹이다 .

Thomas Zittel, Lost Technology? Political Parties and the Online Campaigns of Constituency Candidates in Germany`s Mixed Member Electoral System, Journal of Information Technology & Politics, 6:298-311, 2009

Zittel., T, Lost Technology? Political Parties and the Online Campaigns of Constituency Candidates in Germany`s Mixed Member Electoral System, Journal of Information Technology & Politics, 6:298-311, 2009

Kavita Karan, Jacques D. M. Gimeno, Edson Tandoc Jr., The Internet and Mobile Technologies in Election Campaigns: The GABRIELA Women's Party During the 2007 Philippine Elections, Journal of Information Technology & Politics, 6:326-339, 2009

Yeon-Ok Leea., Internet Election 2.0? Culture, Institutions, and Technology in the Korean Presidential Elections of 2002 and 2007, Journal of Information Technology & Politics, 6:312-325, 2009

Yeon-Ok Leea., Internet Election 2.0? Culture, Institutions, and Technology in the Korean Presidential Elections of 2002 and 2007, Journal of Information Technology & Politics, 6:312-325, 2009

Yeon-Ok Leea., Internet Election 2.0? Culture, Institutions, and Technology in the Korean Presidential Elections of 2002 and 2007, Journal of Information Technology & Politics, 6:312-325, 2009

Yeon-Ok Leea., Internet Election 2.0? Culture, Institutions, and Technology in the Korean Presidential Elections of 2002 and 2007, Journal of Information Technology & Politics, 6:312-325, 2009

Nigel A. Jackson, Darren G. Lilleker., Building an Architecture of Participation? Political Parties and Web 2.0 in Britain, Journal of Information Technology & Politics, 6:232-250, 2009

Ferber et al. (2007) argue that Web 2.0 tools can be used to allow both low and high levels of receiver control, and one-way, two-way, and multidirectional communication, though per- haps the tools lend themselves better to high receiver control and the notion of public dis- course among participants. The problem for political communication is that historically it has been more about information provision and persuasive communication than public dialogue within a chaotic open-access environment. “Interactivity-as-product” (Stromer-Galley, 2004) or campaign-to-user interactivity, where a user can follow hyperlinks, choose to subscribe to an RSS feed, access multimedia files, or even click through feedback polls, only offers low-level interactivity (see also Warnick, Xenos, Endres, & Gastil, 2005). The genuine participation of inter- activity-as-process, which replicates conversa- tion, may be “realized through the metaphorical bridge the Internet can create between the citi- zen and the current and future decision-makers” (Stromer-Galley, 2000, p. 129).

Nigel A. Jackson, Darren G. Lilleker., Building an Architecture of Participation? Political Parties and Web 2.0 in Britain, Journal of Information Technology & Politics, 6:232-250, 2009

Nigel A. Jackson, Darren G. Lilleker., Building an Architecture of Participation? Political Parties and Web 2.0 in Britain, Journal of Information Technology & Politics, 6:232-250, 2009

Meeyoung Cha, Hamed Haddadi, Fabricio Benevenuto, Krishna P. Gummadi,, Measuring User Influence in Twitter: The Million Follower Fallacy, Proc. International AAAI Conference on Weblogs and Social Media (ICWSM), May 2010

Meeyoung Cha, Hamed Haddadi, Fabricio Benevenuto, Krishna P. Gummadi,, Measuring User Influence in Twitter: The Million Follower Fallacy, Proc. International AAAI Conference on Weblogs and Social Media (ICWSM), May 2010

Meeyoung Cha, Hamed Haddadi, Fabricio Benevenuto, Krishna P. Gummadi,, Measuring User Influence in Twitter: The Million Follower Fallacy, Proc. International AAAI Conference on Weblogs and Social Media (ICWSM), May 2010

Meeyoung Cha, Hamed Haddadi, Fabricio Benevenuto, Krishna P. Gummadi,, Measuring User Influence in Twitter: The Million Follower Fallacy, Proc. International AAAI Conference on Weblogs and Social Media (ICWSM), May 2010