Newcomer integration and learning in OSS technical support communities

Singh, Vandana; Kathuria, Sheetija; Johri, Aditya

doi:10.1145/2141512.2141581

Cited by 4 publications

(3 citation statements)

References 7 publications

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“…When using this method for extant texts such as Internet discussions, it is important to situate the texts in their contexts and incorporate that context into the generated theory [5]. Grounded theory beginning with open coding is a technique used often in online forum content analysis [16,31].…”

Section: Methodsmentioning

confidence: 99%

Understanding Copyright Law in Online Creative Communities

Fiesler

Feuston

Bruckman

2015

Proceedings of the 18th ACM Conference on Computer Supported Cooperative Work &Amp; Social Computing

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Copyright law is increasingly relevant to everyday interactions online, from social media status updates to artists showcasing their work. This is especially true in creative spaces where rules about reuse and remix are notoriously gray. Based on a content analysis of public forum postings in eight different online communities featuring different media types (music, video, art, and writing), we found that copyright is a frequent topic of conversation and that much of this discourse stems from problems that copyright causes for creative activities. We identify the major types of problems encountered, including chilling effects that negatively impact technology use. We find that many challenges can be explained by lack of knowledge about legal or policy rules, including breakdowns in user expectations for the sites they use. We argue that lack of clarity is a pervasive usability problem that should be considered more carefully in the design of user-generated content platforms.

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Section: Methodsmentioning

confidence: 99%

Understanding Copyright Law in Online Creative Communities

Fiesler

Feuston

Bruckman

2015

Proceedings of the 18th ACM Conference on Computer Supported Cooperative Work &Amp; Social Computing

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“…The importance of attracting, sustaining, and growing the newcomer population in communities is well documented [21,25,26,29,37]. Scholars have explored the factors that affect newcomers' returning behavior, such as • the community's replies to the newcomers' posts [23,42], • the use of socialization tactics in the communities [10], • the motivational factor [8,12,28,33,34,36], and • the norms the newcomers are expected to accept in order to be part of the community [43]. Using a machine learning approach, Burke, Joyce, Kim, Anand, and Kraut [5] analyzed about 41,000 messages from Usenet newsgroups.…”

Section: Helping Newcomers In the Online Communitiesmentioning

confidence: 99%

Imperatives in Past Online Discussions: Another Helpful Source for Community Newcomers?

Xiao¹,

Nickerson²

2019

Proceedings of the Annual Hawaii International Conference on System Sciences

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Experienced members of online communities use discussion to familiarize newcomers with norms. These members use imperatives, a kind of directive speech act, to suggest a course of action. A method for automatically recognizing such imperatives is described here. The recognition performance of the algorithm is compared to that of human readers. In addition, to test and illustrate the technique, the imperatives in a sample of Wikipedia deletion discussions are extracted, analyzed, and discussed. The method may be used not only to understand a community's culture and practices but also to elicit information that is beneficial to the community's newcomers.

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“…These strategies are used to help them gain knowledge and awareness of the community's expectations (Han & Farzan, ). Although the research purports similarities between newcomer behavior, some classification has been developed which suggests the heterogeneous and complex nature of newcomers (Han & Farzan, ; Singh, Kathuria, & Johri, ). It is important to note this behavioral complexity could have an impact on newcomer legitimacy classification, whereby other behaviors could be intertwined with legitimacy behavior.…”

Section: Introductionmentioning

confidence: 99%