\chapter{Related Work} % 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 %read template notes again and adjust \section{Background} %background % explain SO and SE in detail and how it works % meta pages % do communities differ from one to another? (features) % add pictures of typical stackoverflow question page \section{State of the Art} % write in aspect of new users % -> getting users on board (community guide lines) % -> incentives for new users via reputation (maybe batches (do research on that)) % -> gaming the system % -> prevent 1 day flies % -> keep new users engaged %paper links bekommen: %tutorial: Bernal et al. \cite{bernal2017interrupted} %You Can’t Stay Here: The Efficacy of Reddit’s 2015 Ban Examined Through Hate Speech \cite{chandrasekharan2017you} % -> reddit hate community ban: change = ban % -> todo %Tracing Community Genealogy: How New Communities Emerge from the Old \cite{tan2018tracing} %On the personality traits of stackoverflow users \cite{bazelli2013personality} analyzing personality traits % -> gute vorlage http://softwareprocess.es/pubs/bazelli2013ICSMERA-Personality.pdf % <- One-day flies on StackOverflow \cite{slag2015one} % -> [1] Discovering Value from Community Activity on Focused Question Answering Sites: A Case Study of Stack Overflow \cite{anderson2012discovering} % -> [23] Predicting the perceived quality of online mathematics contributions from users' reputations \cite{tausczik2011predicting} about mathoverflow and quality % -> [4] Predictors of Answer Quality in Online Q&A Sites cite{harper2008predictors} shows that open qa sites are better than paywall or expert sites % -> todo done % -> todo done % -> contains generic refernces to boost ref count % -> [5] Building reputation in stackoverflow: an empirical investigation. \cite{bosu2013building} gaming the reputation system of SO % -> [8] Analysis of the reputation system and user contributions on a question answering website: Stackoverflow \cite{movshovitz2013analysis} about the reputation system % -> todo done % -> [1] Design Lessons from the Fastest Q&A Site in the West \cite{mamykina2011design} understanding SO success % -> [2] How Do Programmers Ask and Answer Questions on the Web? \cite{treude2011programmers} % -> [10] The role of knowledge in software development \cite{robillard1999role} people have different areas of knowledge and expertise % -> [3] Finding the Right Facts in the Crowd: Factoid Question Answering over Social Media \cite{bian2008finding} %No Country for Old Members: User Lifecycle and Linguistic Change in Online Communities \cite{danescu2013no} %Better When It Was Smaller? Community Content and Behavior After Massive Growth \cite{lin2017better} % -> breaching community norms (kraut 2012) % -> lowering content quality (Gorbatai 2011) %Eliciting New Wikipedia Users’ Interests via Automatically Mined Questionnaires: For a Warm Welcome, Not a Cold Start \cite{yazdanian2019eliciting} % -> 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 %literatur analyse todo