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DOI:	10.1371/journal.pone.0128193
论文题名:	Computational Fact Checking from Knowledge Networks
作者:	Giovanni Luca Ciampaglia; Prashant Shiralkar; Luis M. Rocha; Johan Bollen; Filippo Menczer; Alessandro Flammini
刊名:	PLOS ONE
ISSN:	1932-6203
出版年:	2015
发表日期:	2015-6-17
卷:	10, 期:6
语种:	英语
英文关键词:	Graphs ; Online encyclopedias ; Algorithms ; Ontologies ; Network analysis ; Governments ; Historical geography ; Social media
英文摘要:	Traditional fact checking by expert journalists cannot keep up with the enormous volume of information that is now generated online. Computational fact checking may significantly enhance our ability to evaluate the veracity of dubious information. Here we show that the complexities of human fact checking can be approximated quite well by finding the shortest path between concept nodes under properly defined semantic proximity metrics on knowledge graphs. Framed as a network problem this approach is feasible with efficient computational techniques. We evaluate this approach by examining tens of thousands of claims related to history, entertainment, geography, and biographical information using a public knowledge graph extracted from Wikipedia. Statements independently known to be true consistently receive higher support via our method than do false ones. These findings represent a significant step toward scalable computational fact-checking methods that may one day mitigate the spread of harmful misinformation.
URL:	http://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0128193&type=printable
Citation statistics:
资源类型:	期刊论文
标识符:	http://119.78.100.158/handle/2HF3EXSE/21216
Appears in Collections:	过去全球变化的重建影响、适应和脆弱性科学计划与规划气候变化与战略全球变化的国际研究计划气候减缓与适应气候变化事实与影响

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journal.pone.0128193.PDF（2925KB）	期刊论文	作者接受稿	开放获取	CC BY-NC-SA	View Download

作者单位:

Center for Complex Networks and Systems Research, Indiana University, Bloomington, Indiana, United States of America;Center for Complex Networks and Systems Research, Indiana University, Bloomington, Indiana, United States of America;Center for Complex Networks and Systems Research, Indiana University, Bloomington, Indiana, United States of America;Instituto Gulbenkian de Ciencia, Oeiras, Portugal;Center for Complex Networks and Systems Research, Indiana University, Bloomington, Indiana, United States of America;Center for Complex Networks and Systems Research, Indiana University, Bloomington, Indiana, United States of America;Center for Complex Networks and Systems Research, Indiana University, Bloomington, Indiana, United States of America

Recommended Citation:

Giovanni Luca Ciampaglia,Prashant Shiralkar,Luis M. Rocha,et al. Computational Fact Checking from Knowledge Networks[J]. PLOS ONE,2015-01-01,10(6)

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