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RumorLens: A System for Analyzing the Impact of Rumors and Corrections in Social Media Paul Resnick1, Samuel Carton1, Souneil Park2, Yuncheng Shen1, Nicole Zeffer1 1 University of Michigan School of Information 2
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Document Date: 2014-10-24 07:34:17

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File Size: 566,49 KB

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City

Ferguson / /

Company

P. / Schultz D. D. / User/Machine Systems / Resnick / Mei / Garrett / Twitter / Google / The Guardian / Telefonica / /

Country

Australia / /

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Event

Product Recall / Product Issues / /

Facility

RumorLens pipeline / University of Michigan School / Massachusetts Institute of Technology / /

IndustryTerm

news media / similar tool / social media / web community / data-mining tools / data mining / online rumors / data mining pipeline / social networks / software pipeline / visual analysis tool / search engine / interactive tools / web browsing sessions / online political rumoring / /

Organization

University of Michigan School of Information / National Science Foundation / Massachusetts Institute of Technology / American Psychological Association / /

Person

License / Jay-Z / /

Position

Author / same author / rapper / journalist / analyst / /

Product

retrieval with query pooling / /

ProvinceOrState

Missouri / Queensland / Massachusetts / /

PublishedMedium

The Guardian / Communications of the ACM / /

Technology

API / data mining / search engine / /

URL

http /

SocialTag