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WorkShop on Community Question Answering on the Web
Communities of Yahoo! Answers and Baidu Zhidao: Complementing or Competing? Baichuan Li, Michael R. Lyu, and Irwin King Department of Computer Science and Engineering The Chinese University of Hong Kong
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5/2/2019
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5/2/2019
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Community Question Answering
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Complementing and Competing
Collaboration Help each other on many topics Competing Isolation Small circles 5/2/2019
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Research Objects Type International Domestic Language
Mainly in English Chinese Number of Users > 200 million >250 million Daily Unique Visitors About 10 million 5/2/2019
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Data January, 2008 July 2010 May 2010 YA08 and BZ08 YA10 and BZ10
YA-Q and BZ-Q 5/2/2019
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Research Problems Community structure User behaviors
What’s it? Sub-communities User behaviors Top contributors and common users Influence to question solving 5/2/2019
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Analysis Social network analysis User behavior analysis
Community structures Sub-Community detection User behavior analysis Community efficiency analysis 5/2/2019
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Community Structures SCC: users who frequently help each other
IN: users who mainly ask questions OUT: users who mainly answer questions SCC: Strongly Connected Component DC: Disconnected Component 5/2/2019
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Sub-Community Detection
23 5 1 10 2 6 24 7 16 8 3 4 YA08 YA10 BZ08 BZ10 Detecting Sub-communities Louvain method (Blondel et al., 2008) 5/2/2019
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Weighted Mean Entropy Complementing Competing
number of users in sub-community s number of categories number of questions user i asked (and/or) answered in category j Complementing Competing 5/2/2019
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Behaviors of Top Contributors
Interaction between top contributors and their neighbors Collaboration YA08 YA10 Isolation BZ08 BZ10 5/2/2019
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Behaviors of Top Contributors
Component of top contributors Top 100 users ranked by Indegree, Outdegree, and Degree Overlapping 5/2/2019
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Behaviors of Common Users
Limited Activity Most users only ask or answer questions in a very few categories 5/2/2019
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Behaviors of Common Users
User activity at category level Number of answers per question Asker-answerer rate Category mapping 32 volunteers Fleiss’ kappa Similar category settings of YA and BZ 5/2/2019
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Number of Answers per Question
> 5/2/2019
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Brief Summary Similarities Differences
Sub-communities are formed in both YA and BZ Similar category settings Differences Yahoo! Answers Baidu Zhidao Structure a certain amount of asker-answerers askers and answerers are dominant User Behavior people prefer to ask or answer questions and collaborate in more categories most people (especially, top contributors) prefer to ask or answer questions in a few categories Complementing Competing 5/2/2019
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Discussion Why? Which style do you prefer?
Advertising? Get good answers quickly? How to improve community engagement? Point system doesn’t work? Monetary rewards? What about the future? Social QA? 5/2/2019
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Community Efficiency YA-Q and BZ-Q
3,000 questions each are chosen randomly Track the states of these questions within two days 5/2/2019
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Conclusion Reveal the communities of two leading CQA portals
Community structures User behaviors Temporal analysis Yahoo! Answers: Complementing Baidu Zhidao: Competing Investigate the influence of community to the efficiency of question solving 5/2/2019
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Future work How to design better CQA systems?
High question solving speed High user satisfactory Encourage participation Reward system Impact of community on question and answer quality 5/2/2019
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Thank You! Q&A
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BACKUP SLIDES 5/2/2019
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Asker-Answerer Rate > > 5/2/2019
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Closeness 5/2/2019
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Category Mapping 5/2/2019
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