A great deal has been written about the many ways in which the Internet has changed how we connect, communicate, share. One of the places where this change has been most significant is in how information is produced and disseminated; where the individual was historically a passive consumer, she is now a potential creator. The collaborative production of information artifacts is therefore largely open to anyone who wants to participate - regardless of experience, expertise, or motivation - and collaborators often have the ability to act with a high degree of autonomy.
The work presented here therefore examines how and why people behave the way they do in co-production. The first portion of this work examines individual user behavior in these settings, and the motivational determinants of “who does what”. The final portion of this dissertation investigates how individuals’ localized patterns of behavior influence each other and give way to global systems behavior. This research contributes novel methodological and statistical approaches for the analysis of behavior in such settings, and helps us to understand the relationships between motivation, behavior, and emergent patterns of coordination.
Insights gained from this work lay the foundation for future researchers and designers to build interventions that help participants to collaborate more effectively, to build more robust communities, and to engage individuals at the community periphery in a more targeted manner by appealing to specific relevant types of motivation.
|Commitee:||Arazy, Ofer, Cheshire, Coye, Butner, Jonathan, Keegan, Brian|
|School:||New York University Tandon School of Engineering|
|School Location:||United States -- New York|
|Source:||MAI 81/4(E), Masters Abstracts International|
|Subjects:||Computer science, Social research|
|Keywords:||Computational Social Science, Computer Supported Cooperative Work, Human Computer Interaction, Peer-Production|
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