國立虎尾科技大學 |

Automatically Characterizing Product and Process Incentives in Collective Intelligence.

紀錄類型:	書目-語言資料,手稿 : Monograph/item
正題名/作者:	Automatically Characterizing Product and Process Incentives in Collective Intelligence./
作者:	Lavoie, Allen Brockhurst.
面頁冊數:	1 online resource (176 pages)
附註:	Source: Dissertation Abstracts International, Volume: 77-09(E), Section: B.
標題:	Artificial intelligence. -
電子資源:	click for full text (PQDT)
ISBN:	9781339648781

Automatically Characterizing Product and Process Incentives in Collective Intelligence.
Lavoie, Allen Brockhurst.

Automatically Characterizing Product and Process Incentives in Collective Intelligence. - 1 online resource (176 pages)

Source: Dissertation Abstracts International, Volume: 77-09(E), Section: B.

Thesis (Ph.D.)--Washington University in St. Louis, 2016.

Includes bibliographical references

Social media facilitate interaction and information dissemination among an unprecedented number of participants. Why do users contribute, and why do they contribute to a specific venue? Does the information they receive cover all relevant points of view, or is it biased? The substantial and increasing importance of online communication makes these questions more pressing, but also puts answers within reach of automated methods. I investigate scalable algorithms for understanding two classes of incentives which arise in collective intelligence processes. Product incentives exist when contributors have a stake in the information delivered to other users. I investigate product-relevant user behavior changes, algorithms for characterizing the topics and points of view presented in peer-produced content, and the results of a field experiment with a prediction market framework having associated product incentives. Process incentives exist when users find contributing to be intrinsically rewarding. Algorithms which are aware of process incentives predict the effect of feedback on where users will make contributions, and can learn about the structure of a conversation by observing when users choose to participate in it. Learning from large-scale social interactions allows us to monitor the quality of information and the health of venues, but also provides fresh insights into human behavior.

Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2018

Mode of access: World Wide Web

ISBN: 9781339648781Subjects--Topical Terms:

559380
Artificial intelligence.
Index Terms--Genre/Form:

554714
Electronic books.

Automatically Characterizing Product and Process Incentives in Collective Intelligence.
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500 $a Adviser: Sanmay Das.
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504 $a Includes bibliographical references
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538 $a Mode of access: World Wide Web
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