Volume 39 - Article 22 | Pages 647–670
WhatsApp usage patterns and prediction of demographic characteristics without access to message content
By Avi Rosenfeld, Sigal Sina, David Sarne, Or Avidov, Sarit Kraus
References
Argamon, S., Koppel, M., Pennebaker, J.W., and Schler, J. (2009). Automatically profiling the author of an anonymous text. Communications of the ACM 52(2): 119–123.
Bakshy, E., Rosenn, I., Marlow, C., and Adamic, L. (2012). The role of social networks in information diffusion. In: Mille, A., Gandon, F.L., Misselis, J., Rabinovich, M., and Staab, S. (eds.). Proceedings of the 21st International Conference on World Wide Web. New York: ACM: 519–528.
Bouhnik, D. and Deshen, M. (2014). WhatsApp goes to school: Mobile instant messaging between teachers and students. Journal of Information Technology Education: Research 13: 217–231.
Church, K. and de Oliveira, R. (2013). What’s up with WhatsApp? Comparing mobile instant messaging behaviors with traditional SMS. In: Rohs, M., Schmidt, A., Ashbrook, D., and Rukzio, E. (eds.). Proceedings of the 15th International Conference on Human-Computer Interaction with Mobile Devices and Services. New York: ACM: 352–361.
Fan, W., Wallace, L., Rich, S., and Zhang, Z. (2006). Tapping the power of text mining. Communications of the ACM 49(9): 76–82.
Fiadino, P., Schiavone, M., and Casas, P. (2014). Vivisecting WhatsApp through large-scale measurements in mobile networks. Paper presented at the SIGCOMM, Chicago, USA, August 17–22, 2014.
Gulacti, U., Lok, U., Hatipoglu, S., and Polat, H. (2016). An analysis of WhatsApp usage for communication between consulting and emergency physicians. Journal of Medical Systems 40(130): 1–7.
Jain, J., Eddy Luaran, J., and Rahman, N.b.A. (2016). Learning beyond the walls: The role of WhatsApp groups. In: Luaran, J.E., Sardi, J., Aziz, A., and Alias, N.A. (eds.). Envisioning the future of online learning: Selected papers from the International Conference on e-Learning 2015. Singapore: Springer: 447–457.
Johnston, M., King, D., Arora, S., Behar, N., Athanasiou, T., Sevdalis, N., and Darzi, A. (2015). Smartphones let surgeons know WhatsApp: An analysis of communication in emergency surgical teams. American Journal of Surgery 209(1): 4551.
Kring, A.M. and Gordon, A.H. (1998). Sex differences in emotion: Expression, experience, and physiology. Journal of Personality and Social Psychology 74(3): 686–703.
Lin, Y.H., Lin, Y.C., Lee, Y.H., Lin, P.H., Lin, S.H., Chang, L.R., Tseng, H.W., Yen, L.Y., Yang, C.C.H., and Kuo, T.B.J. (2015). Time distortion associated with smartphone addiction: Identifying smartphone addiction via a mobile application (App). Journal of Psychiatric Research 65: 139–145.
Montag, C., Błaszkiewicz, K., Sariyska, R., Lachmann, B., Andone, I., Trendafilov, B., Eibes, M., and Markowetz, A. (2015). Smartphone usage in the 21st century: Who is active on WhatsApp? BMC Research Notes 8(1): 1–6.
Mudliar, P. and Rangaswamy, N. (2015). Offline strangers, online friends: Bridging classroom gender segregation with WhatsApp. In: Begole, B., Kim, J., Inkpen, K., and Woo, W. (eds.). Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems. New York: ACM: 3799–3808.
Naveed, N., Gottron, T., Kunegis, J., and Alhadi, A.C. (2011). Bad news travel fast: A content-based analysis of interestingness on Twitter. In: De Roure, D. and Poole, M.S. (eds.). Proceedings of the 3rd International Conference on Web Science. New York: ACM: 8:1–8:7.
O’Hara, K.P., Massimi, M., Harper, R., Rubens, S., and Morris, J. (2014). Everyday dwelling with WhatsApp. In: Fussell, S.R., Lutters, W.G., Morris, M.R., and Reddy, M. (eds.). Proceedings of the 17th ACM Conference on Computer Supported Cooperative Work and Social Computing. New York: ACM: 1131–1143.
Pielot, M., de Oliveira, R., Kwak, H., and Oliver, N. (2014). Didn’t you see my message? Predicting attentiveness to mobile instant messages. In: Jones, M., Palanque, P.A., Schmidt, A., and Grossman, T. (eds.). Proceedings of the SIGCHI Conference on Human Factors in Computing Systems. New York: ACM: 3319–3328.
Quinlan, J.R. (1996). Improved use of continuous attributes in C4.5. Journal of Artificial Intelligence Research 4: 77–90.
Robin, X., Turck, N., Hainard, A., Tiberti, N., Lisacek, F., Sanchez, J.C., and Müller, M. (2011). pROC: An open-source package for R and S+ to analyze and compare ROC curves. BMC Bioinformatics 12: 77.
Thelwall, M., Wilkinson, D., and Uppal, S. (2010). Data mining emotion in social network communication: Gender differences in myspace. Journal of the Association for Information Science and Technology 61(1): 190–199.
Van Wel, L. and Royakkers, L. (2004). Ethical issues in web data mining. Ethics and Information Technology 6(2): 129–140.
Wagner, C., Garcia, D., Jadidi, M., and Strohmaier, M. (2015). It’s a man’s Wikipedia? Assessing gender inequality in an online encyclopedia. Paper presented at the 9th International AAAI Conference on Web and Social Media, Oxford, UK, May 26–29, 2015.
Wang, Y.C., Burke, M., and Kraut, R.E. (2013). Gender, topic, and audience response: An analysis of user-generated content on facebook. In: Mackay, W.E., Brewster, S.A., and Bødker, S. (eds.). Proceedings of the SIGCHI Conference on Human Factors in Computing Systems. New York: ACM: 31–34.
Witten, I.H. and Frank, E. (2005). Data mining: Practical machine larning tools and techniques. Burlington: Morgan Kaufmann.
Xiang, R., Neville, J., and Rogati, M. (2010). Modeling relationship strength in online social networks. In: Rappa, M., Jones, P., Freire, J., and Chakrabarti, S. (eds.). Proceedings of the 19th International Conference on World Wide Web. New York: ACM: 981–990.