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.
The research leading to these results has been funded by the Vienna Science and Technology Fund (WWTF) through project ICT15-129 (BigDAMA) and the Smart-Data@PoliTO center for Big Data technologies.
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Notes
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As of October \(17^{th}\), 2018 www.alexa.com/topsites.
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A deeper analysis can be found in our previous work [16].
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References
Anonymized datasaset of visits to webpages belonging to web pornographic domains, obtained from network passive measurements (2018). https://smartdata.polito.it/adult-clickstreams/
Catledge, L.D., Pitkow, J.E.: Characterizing browsing strategies in the world-wide web. Elsevier Comput. Netw. ISDN Syst. 27(6), 1065–1073 (1995)
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)
Cornog, M.: Libraries, erotica, pornography. Libr. Q.: Inf. Community Policy 61(4), 457–459 (1991)
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)
Dilevko, J., Gottlieb, L.: Selection and cataloging of adult pornography web sites for academic libraries. J. Acad. Libr. 30(1), 36–50 (2004)
Fan, J., Xu, J., Ammar, M.H.: Crypto-pan: Cryptography-based prefix-preserving anonymization. Comput. Netw. 46(2), 253–272 (2004)
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)
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)
Lewontin, R.C.: Sex, lies, and social science. N. Y. Rev. Books 42(7), 24–29 (1995)
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)
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)
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)
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)
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)
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
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)
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)
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)
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)
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Morichetta, A., Trevisan, M., Vassio, L. (2019). Characterizing Web Pornography Consumption from Passive Measurements. In: Choffnes, D., Barcellos, M. (eds) Passive and Active Measurement. PAM 2019. Lecture Notes in Computer Science(), vol 11419. Springer, Cham. https://doi.org/10.1007/978-3-030-15986-3_20
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