DocumentCode :
660781
Title :
Children´s Exposure to Mobile In-App Advertising: An Analysis of Content Appropriateness
Author :
Ying Chen ; Sencun Zhu ; Heng Xu ; Yilu Zhou
Author_Institution :
Dept. of Comput. Sci. & Eng., Pennsylvania State Univ., University Park, PA, USA
fYear :
2013
fDate :
8-14 Sept. 2013
Firstpage :
196
Lastpage :
203
Abstract :
There is a rising concern among parents that mobile advertisements may contain violent and sexual content even when the app itself is safe for children. Because mobile advertisements are not controlled by the content rating of apps, unexpected objectionable contents may occur and be harmful to children´s mental health. This study is the first to explore the content appropriateness of the in-app advertisements on mobile devices from children´s online safety perspective. We find in-app advertisements are common in the free apps designed for children on smart platforms. Experimental results show that a large percent of the in-app advertisements carry inappropriate contents for children. Unfortunately, neither mobile platforms nor advertising networks provide maturity policies to restrict the content appropriateness of the in-app advertisements. This research suggests that these challenges cannot easily be tackled by one entity. Instead, advertisement providers, advertising networks, app developers, and mobile platforms should collaborate in developing policies and mechanisms to monitor the content appropriateness of the in-app advertisements.
Keywords :
advertising data processing; mobile computing; safety; social aspects of automation; children exposure; children online safety; content appropriateness analysis; in-app advertisements; mobile advertisements; mobile in-app advertising; sexual content; smart platforms; violent content; Advertising; Androids; Google; Humanoid robots; Mobile communication; Pediatrics; Smart phones; Android apps; advertising network; applications (apps); children safety; iOS apps; in-app advertisement (ad); maturity rating; mobile advertisement (ad);
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Social Computing (SocialCom), 2013 International Conference on
Conference_Location :
Alexandria, VA
Type :
conf
DOI :
10.1109/SocialCom.2013.36
Filename :
6693333
Link To Document :
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