3. Webometrics in terms of e-research A minor but growing approach to the study of Internet-mediated communication A new methodological perspective based on the use of new digital tools available online for conducting humanities and social science Internet research
11. Component of Naver WCU WEBOMETRICS INSTITUTE INVESTIGATING INTERNET-BASED POLITICSS WITH E-RESEARCH TOOLS WCU WEBOMETRICS INSTITUTE INVESTIGATING INTERNET-BASED POLITICSS WITH E-RESEARCH TOOLS Log-in The articles title (changing automatically ) The press linked Today’s issues Quick menu browser window
28. Cyworld Extractor - Overview Java-based software tool that, given the URL of a politician on Cyworld, extracts comments given by citizens along with related profile attributes. The stored data, which can amount to thousands of records, is stored in a suitable format for import into statistical software
29. ① ② ③ The status of mini-homepy ① How active ②How famous ③How friendly Gender Name Geun-Hye Park’s mini-hompy Visitor count
36. Cyworld Extractor – Data One example of possible uses for the collected data is to determine the region of posters commenting from Korea
37. Cyworld Extractor - Data The country of origin of those users commenting from outside Korea is also possible
38. WCU WEBOMETRICS INSTITUTE INVESTIGATING INTERNET-BASED POLITICS WITH E-RESEARCH TOOLS Case 2. Cyworld Mini-hompies of Korean Legislators Cyworld Mini-hompies of Korean legislators: Co-inlink network map using Yahoo.com However, buddy data is not publicly available!!
43. Research examples on Plurk Karma: the system will give a user a score. Karma indicates the active degree of the user (e.g messaging, comment, use of system's emoticons etc) when we point our mouse to the Karma score, the user's Karma trend is shown.
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46. Twitter Extractor - Overview Sharing a similar interface and extraction mechanism with the Cyworld extractor, this application requires the URL of a user on Twitter. It is then possible to collect all tweets and determine the attributes of the user’s follower / following network
47. Twitter Extractor - Data A simple use for this data would be to visualize a user’s network and ascertain which users are reciprocal in their friendships
48. * A type of tweets - A case Study on twitter of 18th National Assembly Members * Audiences of tweets * Topic of tweets
53. Media company Individual Type Location Je-ju Seoul Chung-nam Oversea Dae-jeon Others S.Korea Count Korean ‘twitter-tariat’ on Sejong city during March 2010
54. Tweet 언론매체 개인 유형 지역 제주 서울 충남 해외 대전 기타 한국 Keyword : 세종시
55. 언론매체 개인 유형 지역 제주 서울 충남 해외 대전 기타 한국 Follower Keyword : 세종시
61. Section 2. Evaluation of the Name Network Discovery Algorithm The second set includes clues suggesting that a word is NOT likely to be used as a nickname : ● a word candidate is a phrase—for example, if the nickname input (the "FROM"field) is Used more like a subject line(possible indicators include white spaces and length); ● a word candidate consists of a single character(e.g., "a" or " ㄱ "); ● a word candidate consists of netspeak, including emoticons(e.g. "=_="), slang and abbreviations(e.g., using "2MB" to refer to the current Korean president), and onomatopoeia (e.g. " ㅉㅉ " = tsk tsk, ” ㅋㅋ " = heehee, " 하하 " = haha, " 음 " = hmm); ● a word candidate appears more than one time in the comment; ● a word candidate consists of random characters(e.g. " ㅁㄴㅇㄹ " or "asdf"); ● a word candidate is a short, conversational word or phrase(e.g., " 나나 " = me, " 아이고 " = oh no, " 그래서 " = so/therefore); ● a word candidate is a common word or idea in the given context/topic(e.g., " 대한민국 " = Republic of Korea, " 쥐체사상 " = a newly created word used to refer to political fanatics).
81. Thank you for listening! WCU WEBOMETRICS INSTITUTE Acknowledgments. WCU Webometrics Institute acknowledges that this research is supported from the WCU project investigating internet-based politics using e-research tools granted from South Korean Government