Ph.D. HCC — Social Computing Reading List

Sociological Foundations

Burt, R. (2004). Structural Holes and Good Ideas. American Journal of Sociology, 110(2).            

Granovetter, M. (1973). The Strength of Weak Ties. American Journal of Sociology. 78(6):1360-1380.

Hampton, K. N. (2016). Persistent and pervasive community: New communication technologies and the future of community. American Behavioral Scientist, 60(1), 101-124.

Oldenburg, R. (1999). The Great Good Place: Cafes, Coffee Shops, Bookstores, Bars, Hair Salons, and Other Hangouts at the Heart of a Community. Chapters 1 and 2. New York: Marlowe & Company.

Ostrom, E. (2015). Governing the Commons. Cambridge University Press. [Only pages 1-7; 29-57; 82-102]

Travers, J., and Milgram, S. (1977). An experimental study of the small world problem. In Social networks (pp. 179-197). Academic Press.

Social Computing Theories and Methods

Benkler, Y. (2002). Coase's Penguin,or Linux and the Nature of the Firm. Yale Law Journal 112:369

Bruckman, Amy (2022). "Should You Believe Wikipedia?" (just the title chapter)

Donath, J. (1999). Identity and Deception in the Virtual Community. In M. A. Smith & P. Kollock (Eds.), Communities in Cyberspace (pp. 29-59). New York: Routledge.

Grudin, Jonathan. (1988). Why CSCW applications fail: problems in the design and evaluation of organizational interfaces. In Proc. CSCW, 1988

Hancock, J. T., Naaman, M., and Levy, K. (2020). AI-mediated communication: Definition, research agenda, and ethical considerations. Journal of Computer-Mediated Communication, 25(1), 89-100.

Lazer, D. M., Pentland, A., Watts, D. J., Aral, S., Athey, S., Contractor, N., ... and Wagner, C. (2020). Computational social science: Obstacles and opportunities. Science, 369(6507), 1060-1062.

Olson, G. M., and Olson, J. S. (2000). Distance matters. Human-computer interaction, 15(2), 139-178.

Raymond, E. S. (2001). The Cathedral and the Bazaar: Musings on Linux and Open Source by an Accidental Revolutionary (Revised ed.). Sebastopol, CA: O’Reilly & Associates.

Saha, K., Gupta, P., Mark, G., Kiciman, E., and De Choudhury, M. (2024). Observer effect in social media use. In Proceedings of the 2024 CHI Conference on Human Factors in Computing Systems (pp. 1-20).

Scott, C. F., Marcu, G., Anderson, R. E., Newman, M. W., and Schoenebeck, S. (2023). Trauma-informed social media: Towards solutions for reducing and healing online harm. In Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems (pp. 1-20).

Waldman, A. E. (2020). Cognitive biases, dark patterns, and the ‘privacy paradox’. Current opinion in psychology, 31, 105-109.

Studies of Social Computing Systems

Burton, et al. (2012). Crowdsourcing subjective fashion advice using VizWiz: challenges and opportunities. Proc. ASSETS.

Chandrasekharan, E., Pavalanathan, U., Srinivasan, A., Glynn, A., Eisenstein, J., and Gilbert, E. (2017). You can't stay here: The efficacy of reddit's 2015 ban examined through hate speech. Proceedings of the ACM on human-computer interaction, 1(CSCW), 1-22.   

Cheng, J., Bernstein, M., Danescu-Niculescu-Mizil, C., and Leskovec, J. (2017). Anyone can become a troll: Causes of trolling behavior in online discussions. In Proceedings of the 2017 ACM conference on computer supported cooperative work and social computing (pp. 1217-1230).                             

Hancock, J. T., Toma, C., and Ellison, N. (2007). The truth about lying in online dating profiles. In Proceedings of the SIGCHI conference on Human factors in computing systems (pp. 449-452).

Hussein, E., Juneja, P., and Mitra, T. (2020). Measuring misinformation in video search platforms: An audit study on YouTube. Proceedings of the ACM on human-computer interaction, 4(CSCW1), 1-27.

Pennycook, G., Epstein, Z., Mosleh, M., Arechar, A. A., Eckles, D., and Rand, D. G. (2021). Shifting attention to accuracy can reduce misinformation online. Nature, 592(7855), 590-595.