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Akademický článek
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Autor:
Buntain, Cody, Golbeck, Jennifer
Publikováno v:
2017 IEEE International Conference on Smart Cloud (SmartCloud)
Information quality in social media is an increasingly important issue, but web-scale data hinders experts' ability to assess and correct much of the inaccurate content, or `fake news,' present in these platforms. This paper develops a method for aut
Externí odkaz:
http://arxiv.org/abs/1705.01613
Autor:
Golbeck, Jennifer1 (AUTHOR) jgolbeck@umd.edu
Publikováno v:
PLoS ONE. 9/14/2023, Vol. 18 Issue 9, p1-12. 12p.
This paper introduces LABurst, a general technique for identifying key moments, or moments of high impact, in social media streams without the need for domain-specific information or seed keywords. We leverage machine learning to model temporal patte
Externí odkaz:
http://arxiv.org/abs/1508.00488
Autor:
Golbeck, Jennifer
Benford's Law states that the frequency of first digits of numbers in naturally occurring systems is not evenly distributed. Numbers beginning with a 1 occur roughly 30\% of the time, and are six times more common than numbers beginning with a 9. We
Externí odkaz:
http://arxiv.org/abs/1504.04387
Autor:
Golbeck, Jennifer.
Thesis (Ph. D.) -- University of Maryland, College Park, 2005.
Thesis research directed by: Computer Science. Title from t.p. of PDF. Includes bibliographical references. Published by UMI Dissertation Services, Ann Arbor, Mich. Also available in
Thesis research directed by: Computer Science. Title from t.p. of PDF. Includes bibliographical references. Published by UMI Dissertation Services, Ann Arbor, Mich. Also available in
Externí odkaz:
http://hdl.handle.net/1903/2384