wip
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@@ -21,6 +21,7 @@
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%- each community uses the same software, although layout may differ from community to community but generally speaking same structure of the page
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%- each community uses the same software, although layout may differ from community to community but generally speaking same structure of the page
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%- add pictures of typical stackexchange question page
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%- add pictures of typical stackexchange question page
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%community driven knowlege creation process
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%community driven knowlege creation process
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%higher reputation also gives moderation tools (site management, flagging question offtopic, unspecific, ...) TODO add reference
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%
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%
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% not only ``forum`` for fast q&a but also knowledge base
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% not only ``forum`` for fast q&a but also knowledge base
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% public posts and therefore good search engine availibity eg. google
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% public posts and therefore good search engine availibity eg. google
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@@ -100,18 +101,18 @@
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% -> todo done
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% -> todo done
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% -> contains generic refernces to boost ref count
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% -> contains generic refernces to boost ref count
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% -> [5] Building reputation in stackoverflow: an empirical investigation. \cite{bosu2013building} gaming the reputation system of SO, answering question with tags with lower expertise density, answering promptly, first one to answer, activity during off peak hours, contributing to diverse areas
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% -> [5] Building reputation in stackoverflow: an empirical investigation. \cite{bosu2013building} gaming the reputation system of SO, answering question with tags with lower expertise density, answering promptly, first one to answer, activity during off peak hours, contributing to diverse areas
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% -> [8] Analysis of the reputation system and user contributions on a question answering website: Stackoverflow \cite{movshovitz2013analysis} about the reputation system, high reputation indicates primary source of answers and high quality, most questions asked by low reputation users but high reputation users post most questions on avg compared to low reputation users, effective finding of spam users and other extreme behaviors via graph analysis, predicting which users become influetial longterm contributors
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% -> [8] Analysis of the reputation system and user contributions on a question answering website: Stackoverflow \cite{movshovitz2013analysis} about the reputation system, high reputation indicates primary source of answers and high quality, most questions asked by low reputation users but high reputation users post most questions on avg compared to low reputation users, effective finding of spam users and other extreme behaviors via graph analysis, predicting which users become influential longterm contributors, experts can be reliably identified based on the participation in the first few months after registration
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% -> todo done
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% -> todo done
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% -> [1] Design Lessons from the Fastest Q&A Site in the West \cite{mamykina2011design} understanding SO success
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% -> [1] Design Lessons from the Fastest Q&A Site in the West \cite{mamykina2011design} understanding SO success, 1) productive competition (gamification reputation), 2) founders were already experts on site the created (ensured success early on, founders involved in community not external), 3) meta page for discussion and voting on features (same mechanics as on SO page)
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% -> [2] How Do Programmers Ask and Answer Questions on the Web? \cite{treude2011programmers}
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% -> [2] How Do Programmers Ask and Answer Questions on the Web? \cite{treude2011programmers} qa sites very effective at code review and conceptual questions
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% -> [10] The role of knowledge in software development \cite{robillard1999role} people have different areas of knowledge and expertise
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% -> [10] The role of knowledge in software development \cite{robillard1999role} people have different areas of knowledge and expertise
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% -> [3] Finding the Right Facts in the Crowd: Factoid Question Answering over Social Media \cite{bian2008finding}
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% -> [3] Finding the Right Facts in the Crowd: Factoid Question Answering over Social Media \cite{bian2008finding}, about Yahoo! Answers, finding factual answers by using available data on user interaction
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% No Country for Old Members: User Lifecycle and Linguistic Change in Online Communities \cite{danescu2013no}
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% No Country for Old Members: User Lifecycle and Linguistic Change in Online Communities \cite{danescu2013no}
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% Better When It Was Smaller? Community Content and Behavior After Massive Growth \cite{lin2017better}
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% Better When It Was Smaller? Community Content and Behavior After Massive Growth \cite{lin2017better}, defaulting of subreddit, quality remains high, dip in upvotes directly after defaulting but recover quickly and get even higher than before, complaints about low-quality content do not increase, language stays the same, however community clusters among fewer posts than before defaulting
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% -> breaching community norms (kraut 2012)
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% -> breaching community norms (kraut 2012)
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% -> lowering content quality (Gorbatai 2011)
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% -> lowering content quality (Gorbatai 2011)
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% Eliciting New Wikipedia Users’ Interests via Automatically Mined Questionnaires: For a Warm Welcome, Not a Cold Start \cite{yazdanian2019eliciting}
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% Eliciting New Wikipedia Users’ Interests via Automatically Mined Questionnaires: For a Warm Welcome, Not a Cold Start \cite{yazdanian2019eliciting}
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% -> cold start recommender system problem for recommending newcommers arictles to read and get a feeling for how to write articles; similar to SO because new commers don't know the rules so well; familiarize newcommers with how things work on the site
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% -> cold start recommender system problem for recommending newcommers articles to read and get a feeling for how to write articles; similar to SO because new commers don't know the rules so well; familiarize newcommers with how things work on the site, onboarding
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% Do organizational socialization tactics influence newcomer embeddedness and turnover? \cite{allen2006organizational} #newcommers to organizations
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% Do organizational socialization tactics influence newcomer embeddedness and turnover? \cite{allen2006organizational} #newcommers to organizations
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% -> todo
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% -> todo
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% We Don't Do That Here: How Collaborative Editing with Mentors Improves Engagement in Social Q\&A Communities \cite{ford2018we} # mentoring new commers questions (before posting), 1 month experiment
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% We Don't Do That Here: How Collaborative Editing with Mentors Improves Engagement in Social Q\&A Communities \cite{ford2018we} # mentoring new commers questions (before posting), 1 month experiment
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