Social computing for verifying social media content in breaking news
Social computing for verifying social media content in breaking news
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.
Social Media, Multimedia, Multimedia Forensics, Natural Language Processing, Information Extraction, Fact Checking, Geoparsing, Verification, News
83-89
Middleton, Stuart
404b62ba-d77e-476b-9775-32645b04473f
Papadopoulos, Symeon
818a6f28-8102-45b4-8e95-53be585ec20a
Kompatsiaris, Yiannis
364cc081-661c-4f71-b6e0-025b02c25592
1 April 2018
Middleton, Stuart
404b62ba-d77e-476b-9775-32645b04473f
Papadopoulos, Symeon
818a6f28-8102-45b4-8e95-53be585ec20a
Kompatsiaris, Yiannis
364cc081-661c-4f71-b6e0-025b02c25592
Middleton, Stuart, Papadopoulos, Symeon and Kompatsiaris, Yiannis
(2018)
Social computing for verifying social media content in breaking news.
IEEE Internet Computing, 22 (2), .
(doi:10.1109/MIC.2018.112102235).
Abstract
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.
Text
IC_IC-2017-01-0021.R1_Middleton
- Accepted Manuscript
More information
Accepted/In Press date: 10 May 2017
Published date: 1 April 2018
Keywords:
Social Media, Multimedia, Multimedia Forensics, Natural Language Processing, Information Extraction, Fact Checking, Geoparsing, Verification, News
Identifiers
Local EPrints ID: 412130
URI: http://eprints.soton.ac.uk/id/eprint/412130
PURE UUID: 2e0f9be2-42f3-49a3-9197-0b9820d9637d
Catalogue record
Date deposited: 11 Jul 2017 16:31
Last modified: 16 Mar 2024 05:31
Export record
Altmetrics
Contributors
Author:
Symeon Papadopoulos
Author:
Yiannis Kompatsiaris
Download statistics
Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.
View more statistics
