Sexual behavior patterns in online sexually explicit materials: a network analysis

Yanyan Zhou (), Bryant Paul (), Vincent Malic () and Jingyuan Yu ()
Additional contact information
Yanyan Zhou: Indiana University Bloomington
Bryant Paul: Indiana University Bloomington
Vincent Malic: Indiana University-Bloomington
Jingyuan Yu: Department of Social Psychology, Universitat Autónoma de Barcelona

Quality & Quantity: International Journal of Methodology, 2019, vol. 53, issue 4, No 27, 2253-2271

Abstract: Abstracts Free online sexually explicit materials have become the major way for pornography viewers to consume pornographic materials. Most previous content analytic studies have focused on aggression and degradation behaviors in sexually explicit materials. Fewer studies have focused on the prevalence of depictions of individual sexual behaviors, overlooking that pornographic materials not only show viewers individual sexual behaviors but also provide sexual scripts, which contain a series of co-occurring sexual behaviors. Using the network analysis method, the current study examined the co-occurrence patterns of a large number of sexual behaviors depicted in free online sexually explicit materials. The study has revealed the primary sexual script depicted in popular online sexually explicit materials and predicted the potential effects of such a script.

Keywords: Pornography; Sexualization; Sexual script; Sexual behaviors; Network analysis (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
http://link.springer.com/10.1007/s11135-019-00869-7 Abstract (text/html)
Access to the full text of the articles in this series is restricted.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:qualqt:v:53:y:2019:i:4:d:10.1007_s11135-019-00869-7

Ordering information: This journal article can be ordered from
http://www.springer.com/economics/journal/11135

DOI: 10.1007/s11135-019-00869-7

Access Statistics for this article

Quality & Quantity: International Journal of Methodology is currently edited by Vittorio Capecchi

More articles in Quality & Quantity: International Journal of Methodology from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().