Social Computing for Verifying Social Media Content in Breaking News

被引：10
|
作者：
Middleton, Stuart E. [1 ]
Papadopoulos, Symeon [2 ]
Kompatsiaris, Yiannis [2 ]
机构：
[1] Univ Southampton, IT Innovat Ctr, Southampton, Hants, England
[2] Ctr Res & Technol Hellas, Informat Technol Inst, Thessaloniki, Greece
来源：
IEEE INTERNET COMPUTING | 2018年 / 22卷 / 02期
关键词：
fact checking; geoparsing; information extraction; Multimedia; multimedia forensics; natural language processing; news; social media; verification;
D O I：
10.1109/MIC.2018.112102235
中图分类号：
TP31 [计算机软件];
学科分类号：
081202 ; 0835 ;
摘要：
Social media is the place to go for both journalists and the general public when news events break, offering a real-time source of eyewitness images and videos through platforms like YouTube, Instagram, and Periscope. Yet, the value of such content as a means of documenting and disseminating breaking news is compromised by the increasing amount of content misuse and false claims in social media. To this end, cost-effective social-computing solutions for user-generated content verification are crucial for retaining the value and trust in social media for breaking news.
引用
收藏
页码：83 / 89
页数：7
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