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Characterizing Web Pornography Consumption from Passive Measurements

  • Andrea Morichetta
  • Martino Trevisan
  • Luca VassioEmail author
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 11419)

Abstract

Web pornography represents a large fraction of the Internet traffic, with thousands of websites and millions of users. Studying web pornography consumption allows understanding human behaviors and it is crucial for medical and psychological research. However, given the lack of public data, these works typically build on surveys, limited by different factors, e.g., unreliable answers that volunteers may (involuntarily) provide.

In this work, we collect anonymized accesses to pornography websites using HTTP-level passive traces. Our dataset includes about \(15\,000\) broadband subscribers over a period of 3 years. We use it to provide quantitative information about the interactions of users with pornographic websites, focusing on time and frequency of use, habits, and trends. We distribute our anonymized dataset to the community to ease reproducibility and allow further studies.

Keywords

Passive measurements Web pornography Adult content User behaviour Network monitoring 

References

  1. 1.
    Anonymized datasaset of visits to webpages belonging to web pornographic domains, obtained from network passive measurements (2018). https://smartdata.polito.it/adult-clickstreams/
  2. 2.
    Catledge, L.D., Pitkow, J.E.: Characterizing browsing strategies in the world-wide web. Elsevier Comput. Netw. ISDN Syst. 27(6), 1065–1073 (1995)CrossRefGoogle Scholar
  3. 3.
    Coletto, M., Aiello, L.M., Lucchese, C., Silvestri, F.: Adult content consumption in online social networks. Soc. Netw. Anal. Min. 7(1), 28:1–28:21 (2017)CrossRefGoogle Scholar
  4. 4.
    Cornog, M.: Libraries, erotica, pornography. Libr. Q.: Inf. Community Policy 61(4), 457–459 (1991)CrossRefGoogle Scholar
  5. 5.
    Daspe, M.E., Vaillancourt-Morel, M.P., Lussier, Y., Sabourin, S., Ferron, A.: When pornography use feels out of control: the moderation effect of relationship and sexual satisfaction. J. Sex Marital Ther. 44(4), 343–353 (2018)CrossRefGoogle Scholar
  6. 6.
    Dilevko, J., Gottlieb, L.: Selection and cataloging of adult pornography web sites for academic libraries. J. Acad. Libr. 30(1), 36–50 (2004)CrossRefGoogle Scholar
  7. 7.
    Fan, J., Xu, J., Ammar, M.H.: Crypto-pan: Cryptography-based prefix-preserving anonymization. Comput. Netw. 46(2), 253–272 (2004)Google Scholar
  8. 8.
    Fomitchev, M.I.: How Google analytics and conventional cookie tracking techniques overestimate unique visitors. In: Proceedings of the 19th International Conference on World Wide Web, pp. 1093–1094 (2010)Google Scholar
  9. 9.
    Joshua, G., Joshua, W., Julie, E., Kenneth, P., Shane, K.: Moral disapproval and perceived addiction to internet pornography: a longitudinal examination. Addiction 113(3), 496–506 (2014)Google Scholar
  10. 10.
    Lewontin, R.C.: Sex, lies, and social science. N. Y. Rev. Books 42(7), 24–29 (1995)Google Scholar
  11. 11.
    Mazières, A., Trachman, M., Cointet, J.P., Coulmont, B., Prieur, C.: Deep tags: toward a quantitative analysis of online pornography. Porn Studies 1(2), 80–95 (2014)CrossRefGoogle Scholar
  12. 12.
    Ochs, E.P., Binik, Y.M.: The use of couple data to determine the reliability of self-reported sexual behavior. J. Sex Res. 36(4), 374–384 (1999)CrossRefGoogle Scholar
  13. 13.
    Ortiz, F., Castañeda, V., Baeza-Yates, R., Verschae, R., del Solar, J.R.: Characterizing objectionable image content (pornography and nude images) of specific web segments: Chile as a case study. In: Web Congress, Latin American(LA-WEB), pp. 269–278 (2005)Google Scholar
  14. 14.
    Short, M.B., Black, L., Smith, A.H., Wetterneck, C.T., Wells, D.E.: A review of internet pornography use research: methodology and content from the past 10 years. Cyberpsychology Behav. Soc. Netw. 15(1), 13–23 (2012)CrossRefGoogle Scholar
  15. 15.
    Trevisan, M., Finamore, A., Mellia, M., Munafo, M., Rossi, D.: Traffic analysis with off-the-shelf hardware: challenges and lessons learned. IEEE Commun. Mag. 55(3), 163–169 (2017)CrossRefGoogle Scholar
  16. 16.
    Trevisan, M., Giordano, D., Drago, I., Mellia, M., Munafo, M.: Five years at the edge: watching internet from the ISP network. In: Proceedings of the 14th International Conference on Emerging Networking EXperiments and Technologies, pp. 1–12. CoNEXT 2018. ACM, New York (2018).  https://doi.org/10.1145/3281411.3281433
  17. 17.
    Tyson, G., Elkhatib, Y., Sastry, N., Uhlig, S.: Measurements and analysis of a major adult video portal. ACM Trans. Multimedia Comput. Commun. Appl. 12(2), 35:1–35:25 (2016)CrossRefGoogle Scholar
  18. 18.
    Vaillancourt-Morel, M.P., Blais-Lecours, S., Labadie, C., Bergeron, S., Sabourin, S., Godbout, N.: Profiles of cyberpornography use and sexual well-being in adults. J. Sex. Med. 14(1), 78–85 (2017)CrossRefGoogle Scholar
  19. 19.
    Vassio, L., Drago, I., Mellia, M.: Detecting user actions from HTTP traces: toward an automatic approach. In: 2016 International Wireless Communications and Mobile Computing Conference (IWCMC), pp. 50–55 (2016)Google Scholar
  20. 20.
    Vassio, L., Drago, I., Mellia, M., Houidi, Z.B., Lamali, M.L.: You, the web, and your device: longitudinal characterization of browsing habits. ACM Trans. Web 12(4), 24:1–24:30 (2018)CrossRefGoogle Scholar

Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • Andrea Morichetta
    • 1
  • Martino Trevisan
    • 1
  • Luca Vassio
    • 1
    Email author
  1. 1.Politecnico di TorinoTurinItaly

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