Design for collective action
Abstract/Contents
- Abstract
- From Twitter hashtags such as #metoo to protests by Amazon Mechanical Turk workers in the public sphere, collectives come together online to make progress on shared issues. Research has long celebrated the web's affordances for galvanizing such coordinated action. By lowering the costs of communication, the web promises to enable distributed collectives to gather and act around shared issues. However, in practice even highly motivated collectives often fail to envision shared outcomes and act on them collectively. This dissertation introduces social computing systems that directly center trust and familiarity to more effectively support collective action. I will demonstrate this concept through three projects. The first, Hive, explores how social systems can help build strong networks by organizing a collective into small teams, then intermixing viewpoints by gradually rotating team membership. I deployed this project with Mozilla to reimagine accessible web browsing with disability advocates online. The second project, Huddler, demonstrates an algorithmic solution to the problem of teams benefiting from highly familiar members but experiencing unpredictable availability. Finally, the third project, Dynamo, shows how structured human labor can help move efforts forward when they stall. I undertook this project in collaboration with worker rights advocates on Amazon Mechanical Turk. Through the body of work in this dissertation I envision alternate roles for social computing ecosystems in society that directly support efforts for social change.
Description
| Type of resource | text |
|---|---|
| Form | electronic resource; remote; computer; online resource |
| Extent | 1 online resource. |
| Place | California |
| Place | [Stanford, California] |
| Publisher | [Stanford University] |
| Copyright date | 2018; ©2018 |
| Publication date | 2018; 2018 |
| Issuance | monographic |
| Language | English |
Creators/Contributors
| Author | Salehi, Niloufar |
|---|---|
| Degree supervisor | Bernstein, Michael S, 1984- |
| Thesis advisor | Bernstein, Michael S, 1984- |
| Thesis advisor | Landay, James A, 1967- |
| Degree committee member | Landay, James A, 1967- |
| Associated with | Stanford University, Computer Science Department. |
Subjects
| Genre | Theses |
|---|---|
| Genre | Text |
Bibliographic information
| Statement of responsibility | Niloufar Salehi. |
|---|---|
| Note | Submitted to the Computer Science Department. |
| Thesis | Thesis Ph.D. Stanford University 2018. |
| Location | electronic resource |
Access conditions
- Copyright
- © 2018 by Niloufar Salehi
- License
- This work is licensed under a Creative Commons Attribution Non Commercial 3.0 Unported license (CC BY-NC).
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