Children's exposure to mobile in-app advertising: An analysis of content appropriateness

Ying Chen, Sencun Zhu, Heng Xu, Yilu Zhou

Research output: Chapter in Book/Report/Conference proceedingConference contribution

11 Scopus citations

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.

Original languageEnglish (US)
Title of host publicationProceedings - SocialCom/PASSAT/BigData/EconCom/BioMedCom 2013
Pages196-203
Number of pages8
DOIs
StatePublished - Dec 1 2013
Event2013 ASE/IEEE Int. Conf. on Social Computing, SocialCom 2013, the 2013 ASE/IEEE Int. Conf. on Big Data, BigData 2013, the 2013 Int. Conf. on Economic Computing, EconCom 2013, the 2013 PASSAT 2013, and the 2013 ASE/IEEE Int. Conf. on BioMedCom 2013 - Washington, DC, United States
Duration: Sep 8 2013Sep 14 2013

Publication series

NameProceedings - SocialCom/PASSAT/BigData/EconCom/BioMedCom 2013

Other

Other2013 ASE/IEEE Int. Conf. on Social Computing, SocialCom 2013, the 2013 ASE/IEEE Int. Conf. on Big Data, BigData 2013, the 2013 Int. Conf. on Economic Computing, EconCom 2013, the 2013 PASSAT 2013, and the 2013 ASE/IEEE Int. Conf. on BioMedCom 2013
CountryUnited States
CityWashington, DC
Period9/8/139/14/13

All Science Journal Classification (ASJC) codes

  • Software

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