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35 angry bots12/21/2023 In Proceedings of the 5th International Symposium on Wikis and Open Collaboration (WikiSym '09). The Social Roles of Bots and Assisted Editing Programs. 5th Hellenic Conference on Artificial Intelligence (SETN 2008). An Empirical Study of Lazy Multilabel Classification Algorithms. Ioannis Vlahavas Eleftherios Spyromitros, Grigorios Tsoumakas.In Proceedings of the 12th International Conference on Intelligent User Interfaces (IUI '07). SuggestBot: Using Intelligent Task Routing to Help People Find Work in Wikipedia. Dan Cosley, Dan Frankowski, Loren Terveen, and John Riedl.ACM SIGCHI International Conference on Supporting Group Work (2009). proceedings of the International ACM SIGCHI Conference on Supporting Group Work. Feed me: motivating newcomer contribution in social network sites. Moira Burke, Cameron Marlow, and Thomas Lento.Journal of Statistical Mechanics: Theory and Experiment 2008, 10 (2008), P10008. Fast unfolding of communities in large networks. Vincent D Blondel, Jean-Loup Guillaume, Renaud Lambiotte, and Etienne Lefebvre.Role Theory: Expectations, Identities, and Behaviors. Wikipedian Self-Governance in Action: Motivating the Policy Lens. Ivan Beschastnikh, Travis Kriplean, and David W.In 2015 IEEE International Conference on Data Mining Workshop (ICDMW). Haram: a hierarchical aram neural network for large-scale text classification. Fernando Benites and Elena Sapozhnikova.Gaffers, Gofers, and Grips: Role-Based Coordination in Temporary Organizations. Case Method: function and process modelling. In Proceedings of the 18th ACM Conference on Computer Supported Cooperative Work & Social Computing (CSCW '15). Functional Roles and Career Paths in Wikipedia. Ofer Arazy, Felipe Ortega, Oded Nov, Lisa Yeo, and Adam Balila.In Proceedings of the 35th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR '12). Predicting Quality Flaws in User-generated Content: The Case of Wikipedia. Maik Anderka, Benno Stein, and Nedim Lipka.In particular, we build on previous research on newcomers by studying the relationship between the roles bots play, the interactions they have with newcomers, and the ensuing survival rate of the newcomers. We use a model to investigate how bots playing certain roles will have differential effects on human editors. We discuss different bot activities, including their edit frequency, their working spaces, and their software evolution. We then build a multi-class classifier to classify 1,601 bots based on labeled data. In this study, we use unsupervised learning to build a nine category taxonomy of bots based on their functions in English Wikipedia. This is important for understanding Wikipedia along with other kinds of work in which autonomous machines affect tasks performed by humans. Understanding these roles is an important step towards understanding the ecosystem, and designing better bots and interfaces between bots and humans. They play particular roles in the editing process. Bots are designed to perform certain functions and can acquire new functionality over time. Humans develop bots, argue for their approval, and maintain them, performing tasks such as monitoring activity, merging similar bots, splitting complex bots, and turning off malfunctioning bots. In many cases, editors and bots form tightly knit teams. Bots are playing an increasingly important role in the creation of knowledge in Wikipedia.
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