When people's voices matter : examining mini-public deliberation and digital crowdsourcing with machine learning tools
Abstract/Contents
- Abstract
- Governments across the world have been increasingly using a variety of forms of public consultation to inform governance and strengthen legitimacy. In some public consultation, people's voices are thoughtful and consequential for policymaking while in other forms of public consultation, people's voices are more likely to be distorted by political interests. This dissertation aims to answer a question (challenge) posed by the latest development in the field deliberative democracy: what institutional designs can make a deliberative system function well and/or badly? To answer this question, I examine in depth, cases of mini-public deliberation and digital crowdsourcing. My dissertation provides building blocks regarding the elements of design for an effective deliberative system and offers suggestive lessons for facilitating a healthier and more impactful public dialogues in both democracies and authoritarianisms. My dissertation also demonstrates how we could leverage machine learning tools to systematically analyze the impact and quality of political dialogues.
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 | 2019; ©2019 |
| Publication date | 2019; 2019 |
| Issuance | monographic |
| Language | English |
Creators/Contributors
| Author | Chen, Kaiping |
|---|---|
| Degree supervisor | Fishkin, James S |
| Thesis advisor | Fishkin, James S |
| Thesis advisor | Goel, Ashish |
| Thesis advisor | Iyengar, Shanto |
| Thesis advisor | Pan, Jennifer, 1981- |
| Degree committee member | Goel, Ashish |
| Degree committee member | Iyengar, Shanto |
| Degree committee member | Pan, Jennifer, 1981- |
| Associated with | Stanford University, Department of Communication. |
Subjects
| Genre | Theses |
|---|---|
| Genre | Text |
Bibliographic information
| Statement of responsibility | Kaiping Chen. |
|---|---|
| Note | Submitted to the Department of Communication. |
| Thesis | Thesis Ph.D. Stanford University 2019. |
| Location | electronic resource |
Access conditions
- Copyright
- © 2019 by Kaiping Chen
- License
- This work is licensed under a Creative Commons Attribution Non Commercial 3.0 Unported license (CC BY-NC).
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