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

页码：83 / 89

页数：7