Literature DB >> 12472332

Does pornography-blocking software block access to health information on the Internet?

Caroline R Richardson1, Paul J Resnick, Derek L Hansen, Holly A Derry, Victoria J Rideout.   

Abstract

CONTEXT: The Internet has become an important tool for finding health information, especially among adolescents. Many computers have software designed to block access to Internet pornography. Because pornography-blocking software cannot perfectly discriminate between pornographic and nonpornographic Web sites, such products may block access to health information sites, particularly those related to sexuality.
OBJECTIVE: To quantify the extent to which pornography-blocking software used in schools and libraries limits access to health information Web sites. DESIGN AND
SETTING: In a simulation of adolescent Internet searching, we compiled search results from 24 health information searches (n = 3206) and 6 pornography searches (n = 781). We then classified the content of each site as either health information (n = 2467), pornography (n = 516), or other (n = 1004). We also compiled a list of top teen health information sites (n = 586). We then tested 6 blocking products commonly used in schools and libraries and 1 blocking product used on home computers, each at 2 or 3 levels of blocking restrictiveness. MAIN OUTCOME MEASURE: Rates of health information and pornography blocking.
RESULTS: At the least restrictive blocking setting, configured to block only pornography, the products blocked a mean of only 1.4% of health information sites. The differences between blocking products was small (range, 0.6%-2.3%). However, about 10% of health sites found using some search terms related to sexuality (eg, safe sex, condoms) and homosexuality (eg, gay) were blocked. The mean pornography blocking rate was 87% (range, 84%-90%). At moderate settings, the mean blocking rate was 5% for health information and 90% for pornography. At the most restrictive settings, health information blocking increased substantially (24%), but pornography blocking was only slightly higher (91%).
CONCLUSIONS: Blocking settings have a greater impact than choice of blocking product on frequency of health information blocking. At their least restrictive settings, overblocking of general health information poses a relatively minor impediment. However, searches on some terms related to sexuality led to substantially more health information blocking. More restrictive blocking configurations blocked pornography only slightly more, but substantially increased blocking of health information sites.

Entities:  

Mesh:

Year:  2002        PMID: 12472332     DOI: 10.1001/jama.288.22.2887

Source DB:  PubMed          Journal:  JAMA        ISSN: 0098-7484            Impact factor:   56.272


  8 in total

1.  Blocking of pornography-seeking behavior in digital image libraries: adventures in the skin trade.

Authors:  Christoph U Lehmann; Bernard A Cohen; George R Kim
Journal:  AMIA Annu Symp Proc       Date:  2005

2.  Nursery, gutter, or anatomy class? Obscene expression in consumer health.

Authors:  Catherine Arnott Smith
Journal:  AMIA Annu Symp Proc       Date:  2007-10-11

Review 3.  Setting the public agenda for online health search: a white paper and action agenda.

Authors:  Liza Greenberg; Guy D'Andrea; Dan Lorence
Journal:  J Med Internet Res       Date:  2004-06-08       Impact factor: 5.428

4.  Availability of antibiotics for purchase without a prescription on the internet.

Authors:  Arch G Mainous; Charles J Everett; Robert E Post; Vanessa A Diaz; William J Hueston
Journal:  Ann Fam Med       Date:  2009 Sep-Oct       Impact factor: 5.166

5.  How adolescents use technology for health information: implications for health professionals from focus group studies.

Authors:  Harvey Skinner; Sherry Biscope; Blake Poland; Eudice Goldberg
Journal:  J Med Internet Res       Date:  2003-12-18       Impact factor: 5.428

6.  How do adolescents access health information? And do they ask their physicians?

Authors:  George Ettel; Ian Nathanson; Donna Ettel; Christine Wilson; Paul Meola
Journal:  Perm J       Date:  2012

7.  Improving Web searches: case study of quit-smoking Web sites for teenagers.

Authors:  Malcolm Koo; Harvey Skinner
Journal:  J Med Internet Res       Date:  2003-11-14       Impact factor: 5.428

8.  Adolescents searching for health information on the Internet: an observational study.

Authors:  Derek L Hansen; Holly A Derry; Paul J Resnick; Caroline R Richardson
Journal:  J Med Internet Res       Date:  2003-10-17       Impact factor: 5.428

  8 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.