• Title/Summary/Keyword: Question-Answering Community

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Research Trends of the Credibility of Information in Social Q&A (지식검색커뮤니티 정보의 신뢰성에 관한 연구 동향 분석)

  • Kim, Soo-Jung
    • Journal of the Korean Society for information Management
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    • v.29 no.2
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    • pp.135-154
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    • 2012
  • Social Q&A sites such as Yahoo! Answers and Naver Knowledge-iN have become a viable method for information seeking and sharing on the Web. Considering their immense popularity and growing concerns about their validity as information sources, questions about the credibility of the information provided on social Q&As are timely. Therefore, this paper summarizes recent research on credibility related to the social Q&A context, identifies research gaps, and presents a research agenda for future research to advance this newly developing area.

QualityRank : Measuring Authority of Answer in Q&A Community using Social Network Analysis (QualityRank : 소셜 네트워크 분석을 통한 Q&A 커뮤니티에서 답변의 신뢰 수준 측정)

  • Kim, Deok-Ju;Park, Gun-Woo;Lee, Sang-Hoon
    • Journal of KIISE:Databases
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    • v.37 no.6
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    • pp.343-350
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    • 2010
  • We can get answers we want to know via questioning in Knowledge Search Service (KSS) based on Q&A Community. However, it is getting more difficult to find credible documents in enormous documents, since many anonymous users regardless of credibility are participate in answering on the question. In previous works in KSS, researchers evaluated the quality of documents based on textual information, e.g. recommendation count, click count and non-textual information, e.g. answer length, attached data, conjunction count. Then, the evaluation results are used for enhancing search performance. However, the non-textual information has a problem that it is difficult to get enough information by users in the early stage of Q&A. The textual information also has a limitation for evaluating quality because of judgement by partial factors such as answer length, conjunction counts. In this paper, we propose the QualityRank algorithm to improve the problem by textual and non-textual information. This algorithm ranks the relevant and credible answers by considering textual/non-textual information and user centrality based on Social Network Analysis(SNA). Based on experimental validation we can confirm that the results by our algorithm is improved than those of textual/non-textual in terms of ranking performance.

Analysis of the Policy Network for the “Feed-in Tariff Law” in Japan: Evidence from the GEPON Survey

  • Okura, Sae;Tkach-Kawasaki, Leslie;Kobashi, Yohei;Hartwig, Manuela;Tsujinaka, Yutaka
    • Journal of Contemporary Eastern Asia
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    • v.15 no.1
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    • pp.41-63
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    • 2016
  • Energy policy is known to have higher path dependency among policy fields (Kuper and van Soest, 2003; OECD, 2012; Kikkawa, 2013) and is a critical component of the infrastructure development undertaken in the early stages of nation building. Actor roles, such as those played by interest groups, are firmly formed, making it unlikely that institutional change can be implemented. In resource-challenged Japan, energy policy is an especially critical policy area for the Japanese government. In comparing energy policy making in Japan and Germany, Japan’s policy community is relatively firm (Hartwig et al., 2015), and it is improbable that institutional change can occur. The Japanese government’s approach to energy policy has shifted incrementally in the past half century, with the most recent being the 2012 implementation of the “Feed-In Tariff Law” (Act on Special Measures Concerning Procurement of Renewable Electric Energy by Operators of Electric Utilities), which encourages new investment in renewable electricity generation and promotes the use of renewable energy. Yet, who were the actors involved and the factors that influenced the establishment of this new law? This study attempts to assess the factors associated with implementing the law as well as the roles of the relevant major actors. In answering this question, we focus on identifying the policy networks among government, political parties, and interest groups, which suggests that success in persuading key economic groups could be a factor in promoting the law. Our data is based on the “Global Environmental Policy Network Survey 2012-2013 (GEPON2)” which was conducted immediately after the March 11, 2011 Great East Japan Earthquake with respondents including political parties, the government, interest groups, and civil society organizations. Our results suggest that the Feed in Tariff (FIT) Law’s network structure is similar to the information network and support network, and that the actors at the center of the network support the FIT Law. The strength of our research lays in our focus on political networks and their contributing mechanism to the law’s implementation through analysis of the political process. From an academic perspective, identifying the key actors and factors may be significant in explaining institutional change in policy areas with high path dependency. Close examination of this issue also has implications for a society that can promote renewable and sustainable energy resources.