Proceedings of the 16th International Symposium on Open Collaboration最新文献

Public Sector Platforms going Open: Creating and Growing an Ecosystem with Open Collaborative Development 公共部门平台走向开放:以开放的协同发展创造和成长生态系统

Proceedings of the 16th International Symposium on Open Collaboration Pub Date : 2020-08-25 DOI: 10.1145/3412569.3412572

J. Linåker, P. Runeson

{"title":"Public Sector Platforms going Open: Creating and Growing an Ecosystem with Open Collaborative Development","authors":"J. Linåker, P. Runeson","doi":"10.1145/3412569.3412572","DOIUrl":"https://doi.org/10.1145/3412569.3412572","url":null,"abstract":"Background: By creating ecosystems around platforms of Open Source Software (OSS) and Open Data (OD), and adopting open collaborative development practices, platform providers may exploit open innovation benefits. However, adopting such practices in a traditionally closed organization is a maturity process that we hypothesize cannot be undergone without friction. Objective: This study aims to investigate what challenges may occur for a newly-turned platform provider in the public sector, aiming to adopt open collaborative practices to create an ecosystem around the development of the underpinning platform. Method: An exploratory case-study is conducted at a Swedish public sector platform provider, which is creating an ecosystem around OSS and OD, related to the labor market. Data is collected through interviews, document studies, and prolonged engagement. Results: Findings highlight a fear among developers of being publicly questioned for their work, as they represent a government agency undergoing constant scrutiny. Issue trackers, roadmaps, and development processes are generally closed, while multiple channels are used for communication, causing internal and external confusion. Some developers are reluctant to communicate externally as they believe it interferes with their work. Lack of health metrics limits possibilities to follow ecosystem growth and for actors to make investment decisions. Further, an autonomous team structure is reported to complicate internal communication and enforcement of the common vision, as well as collaboration. A set of interventions for addressing the challenges are proposed, based on related work. Conclusions: We conclude that several cultural, organizational, and process-related challenges may reside, and by understanding these early on, platform providers can be preemptive in their work of building healthy ecosystems.","PeriodicalId":163498,"journal":{"name":"Proceedings of the 16th International Symposium on Open Collaboration","volume":"50 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-08-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114659987","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 6

You Shall Not Publish: Edit Filters on English Wikipedia 你不能在英文维基百科上发布:编辑过滤器

Proceedings of the 16th International Symposium on Open Collaboration Pub Date : 2020-08-25 DOI: 10.1145/3412569.3412580

Lyudmila Vaseva, C. Müller-Birn

引用次数: 1

Who Writes Wikipedia?: An Investigation from the Perspective of Ortega and Newton Hypotheses 谁写了维基百科?——从奥尔特加假说和牛顿假说的视角考察

Proceedings of the 16th International Symposium on Open Collaboration Pub Date : 2020-08-25 DOI: 10.1145/3412569.3412578

Anamika Chhabra, S. Iyengar

{"title":"Who Writes Wikipedia?: An Investigation from the Perspective of Ortega and Newton Hypotheses","authors":"Anamika Chhabra, S. Iyengar","doi":"10.1145/3412569.3412578","DOIUrl":"https://doi.org/10.1145/3412569.3412578","url":null,"abstract":"In any collaborative system, people do not contribute equally. This is particularly observed to be true for systems seeking to gather contributions from a large, diverse group of people. In such settings, it is seen that a sizable amount of contribution comes from a small group of highly-active users. While it is well-understood that such users are instrumental in the system's progress, the contribution made by a large group of less-active users is not sufficiently understood. Popularly called masses, these users comprise of the majority of the system's user base. It is, therefore, important to examine their worth in the system. The literature in this direction points towards two contradicting points of view with one acknowledging masses' contribution (Ortega Hypothesis) while the other deeming them unnecessary in the system (Newton Hypothesis). Given the large-scale collaboration facilitated by Wikipedia where a large crowd with a diverse skill-set and hence unequal contribution participates, a detailed investigation of the worth of masses becomes necessary for informed policy-making. In this work, we examine whether masses help or hamper the knowledge-building in Wikipedia. We specifically consider their contribution across different contribution types pertaining to the insertion of new content as well as the administrative activities. We observe that although the individual contribution by masses is small, yet they contribute important pieces of knowledge to Wikipedia articles. The results indicate that the overall contribution of masses across several parameters even exceeds the contribution by elites. We also find that as compared to masses, highly-active users dominate the edits where no new content is inserted and only activities involving the up-keeping of the existing content such as restructuring or formatting take place. The results of the study may help in devising appropriate incentivization policies for Wikipedia and the collaborative systems in general.","PeriodicalId":163498,"journal":{"name":"Proceedings of the 16th International Symposium on Open Collaboration","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-08-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126593594","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

Participation Inequality and the 90-9-1 Principle in Open Source 开源中的参与不平等和90-9-1原则

Proceedings of the 16th International Symposium on Open Collaboration Pub Date : 2020-08-25 DOI: 10.1145/3412569.3412582

Mattia Gasparini, R. Clarisó, M. Brambilla, Jordi Cabot

引用次数: 7

KDAP

Proceedings of the 16th International Symposium on Open Collaboration Pub Date : 2020-08-25 DOI: 10.1145/3412569.3412575

Amit Verma, S. S. Iyengar, Simran Setia, Neeru Dubey

{"title":"KDAP","authors":"Amit Verma, S. S. Iyengar, Simran Setia, Neeru Dubey","doi":"10.1145/3412569.3412575","DOIUrl":"https://doi.org/10.1145/3412569.3412575","url":null,"abstract":"With the success of crowdsourced portals, such as Wikipedia, Stack Overflow, Quora, and GitHub, a class of researchers is driven towards understanding the dynamics of knowledge building on these portals. Even though collaborative knowledge building portals are known to be better than expert-driven knowledge repositories, limited research has been performed to understand the knowledge building dynamics in the former. This is mainly due to two reasons; first, unavailability of the standard data representation format, second, lack of proper tools and libraries to analyze the knowledge building dynamics. We describe Knowledge Data Analysis and Processing Platform (KDAP), a programming toolkit that is easy to use and provides high-level operations for analysis of knowledge data. We propose Knowledge Markup Language (Knol-ML), a standard representation format for the data of collaborative knowledge building portals. KDAP can process the massive data of crowdsourced portals like Wikipedia and Stack Overflow efficiently. As a part of this toolkit, a data-dump of various collaborative knowledge building portals is published in Knol-ML format. The combination of Knol-ML and the proposed open-source library will help the knowledge building community to perform benchmark analysis. URL:https://github.com/descentis/kdap Supplementary Material: https://bit.ly/2Z3tZK5","PeriodicalId":163498,"journal":{"name":"Proceedings of the 16th International Symposium on Open Collaboration","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-08-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123802703","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 5

Towards a Maturity Model for Assessment of Organization Readiness in Implementing and Deploying an Open Innovation Platform 面向开放式创新平台实施和部署的组织准备评估成熟度模型

Proceedings of the 16th International Symposium on Open Collaboration Pub Date : 2020-08-25 DOI: 10.1145/3412569.3412868

Pablo Cruz, H. Astudillo

引用次数: 1

Recommending Tasks to Newcomers in OSS Projects: How Do Mentors Handle It? 在OSS项目中向新人推荐任务:导师如何处理?

Proceedings of the 16th International Symposium on Open Collaboration Pub Date : 2020-08-25 DOI: 10.1145/3412569.3412571

Sogol Balali, Umayal Annamalai, Hema Susmita Padala, Bianca Trinkenreich, M. Gerosa, Igor Steinmacher, A. Sarma

{"title":"Recommending Tasks to Newcomers in OSS Projects: How Do Mentors Handle It?","authors":"Sogol Balali, Umayal Annamalai, Hema Susmita Padala, Bianca Trinkenreich, M. Gerosa, Igor Steinmacher, A. Sarma","doi":"10.1145/3412569.3412571","DOIUrl":"https://doi.org/10.1145/3412569.3412571","url":null,"abstract":"Software developers who want to start contributing to an Open Source Software (OSS) project often struggle to find appropriate first tasks. The voluntary, self-organizing distribution of decentralized labor and the distinct nature of some OSS projects intensifies this challenge. Mentors, who work closely with newcomers, develop strategies to recommend tasks. However, to date neither the challenges mentors face in recommending tasks nor their strategies have been formally documented or studied. In this paper, we interviewed mentors of well-established OSS projects (n=10) and qualitatively analyzed their answers to identify both challenges and strategies related to recommending tasks for newcomers. Then, we employed a survey (n=30) to map the strategies to challenges and collect additional strategies. Our study identified 7 challenges and 13 strategies related to task recommendation. Strategies such as \"tagging the issues based on difficulty,\" \"adding documentation,\" \"assigning a small task first and then challenge the newcomers with bigger tasks,\" and \"dividing tasks into smaller pieces\" were frequently mentioned as ways to overcome multiple challenges. Our results provide insights for mentors about the strategies OSS communities can use to guide their mentors and for tool builders who design automated support for task assignment.","PeriodicalId":163498,"journal":{"name":"Proceedings of the 16th International Symposium on Open Collaboration","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-08-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134353434","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 23

Sharing your coding schemas: Developing a Platform to fit within the Qualitative Research Workflow 分享你的编码模式:开发一个平台，以适应定性研究工作流程

Proceedings of the 16th International Symposium on Open Collaboration Pub Date : 2020-08-25 DOI: 10.1145/3412569.3412574

Julian Hocker, Taryn Bipat, M. Zachry, David W. Mcdonald

引用次数: 2

Classifying Wikipedia Article Quality With Revision History Networks 使用修订历史网络对维基百科文章质量进行分类

Proceedings of the 16th International Symposium on Open Collaboration Pub Date : 2020-08-25 DOI: 10.1145/3412569.3412581

Narun K. Raman, Nathaniel Sauerberg, Jonah Fisher, Sneha Narayan

引用次数: 8

An overview of decentralized autonomous organizations on the blockchain 区块链上分散自治组织的概述

Proceedings of the 16th International Symposium on Open Collaboration Pub Date : 2020-08-25 DOI: 10.1145/3412569.3412579

Youssef El Faqir, J. Arroyo, Samer Hassan

引用次数: 56