57 lines
3.4 KiB
TeX
57 lines
3.4 KiB
TeX
\chapter{Related Work}
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% py umschreiben auf how the new contributor thing works https://meta.stackexchange.com/questions/314472/what-are-the-exact-criteria-for-the-new-contributor-indicator-to-be-shown ; change date = 2018-08-21T21:04:49.177
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%read template notes again and adjust
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\section{Background}
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%background
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% explain SO and SE in detail and how it works
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% meta pages
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% do communities differ from one to another? (features)
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% add pictures of typical stackoverflow question page
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\section{State of the Art}
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% write in aspect of new users
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% -> getting users on board (community guide lines)
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% -> incentives for new users via reputation (maybe batches (do research on that))
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% -> gaming the system
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% -> prevent 1 day flies
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% -> keep new users engaged
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%paper links bekommen:
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%tutorial: Bernal et al. \cite{bernal2017interrupted}
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%You Can’t Stay Here: The Efficacy of Reddit’s 2015 Ban Examined Through Hate Speech \cite{chandrasekharan2017you}
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% -> reddit hate community ban: change = ban
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% -> todo
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%Tracing Community Genealogy: How New Communities Emerge from the Old \cite{tan2018tracing}
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%On the personality traits of stackoverflow users \cite{bazelli2013personality} analyzing personality traits
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% -> gute vorlage http://softwareprocess.es/pubs/bazelli2013ICSMERA-Personality.pdf
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% <- One-day flies on StackOverflow \cite{slag2015one}
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% -> [1] Discovering Value from Community Activity on Focused Question Answering Sites: A Case Study of Stack Overflow \cite{anderson2012discovering}
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% -> [23] Predicting the perceived quality of online mathematics contributions from users' reputations \cite{tausczik2011predicting} about mathoverflow and quality
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% -> [4] Predictors of Answer Quality in Online Q&A Sites cite{harper2008predictors} shows that open qa sites are better than paywall or expert sites
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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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% -> [5] Building reputation in stackoverflow: an empirical investigation. \cite{bosu2013building} gaming the reputation system of SO
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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
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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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% -> [2] How Do Programmers Ask and Answer Questions on the Web? \cite{treude2011programmers}
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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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%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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% -> breaching community norms (kraut 2012)
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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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% -> 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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%literatur analyse todo
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