Open Source and Professional Advancement
IEEE Software
A familiar face(book): profile elements as signals in an online social network
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Identity management: multiple presentations of self in facebook
Proceedings of the 2007 international ACM conference on Supporting group work
Social media for software engineering
Proceedings of the FSE/SDP workshop on Future of software engineering research
Collaborative sensemaking during admin permission granting in wikipedia
OCSC'11 Proceedings of the 4th international conference on Online communities and social computing
Social coding in GitHub: transparency and collaboration in an open software repository
Proceedings of the ACM 2012 conference on Computer Supported Cooperative Work
Signaling theory and information asymmetry in online commerce
Information and Management
Designing to improve interpersonal impression accuracy in online peer production
CHI '13 Extended Abstracts on Human Factors in Computing Systems
From rookie to all-star: professional development in a graphic design social networking site
Proceedings of the 17th ACM conference on Computer supported cooperative work & social computing
Proceedings of the 17th ACM conference on Computer supported cooperative work & social computing
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Social networking tools now allow professionals to post and share their work in online spaces. These professionals build reputation within a community of practice, often with the goal of finding a job. But how are the visible traces of their actions and interactions in online workspaces used in the hiring process? We conducted interviews with members of the GitHub "social coding" community to understand how profiles on the site are used to assess people during recruitment and hiring for software development positions. Both employers and job seekers pointed to specific cues provided on profiles that led them to make inferences (or form impressions) about a candidate's technical skills, motivations, and values. These cues were seen as more reliable indicators of technical abilities and motivation than information provided on a resume, because of the transparency of work actions on GitHub and relative difficulty of manipulating behavior traces. The use of online workspaces like GitHub has implications for the type of information sought by employers as well as the activity traces job hunters might seek to leave.