A Couple of Notes on Digital Information and Communication

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References

Bos, N., Olson, J., Gergle, D., Olson, G., & Wright, Z. (2002, April). Effects of four computer-mediated communications channels on trust development. In Proceedings of the SIGCHI conference on human factors in computing systems (pp. 135-140).

Fazio, L. K., Brashier, N. M., Payne, B. K., & Marsh, E. J. (2015). Knowledge does not protect against illusory truth. Journal of Experimental Psychology: General, 144(5), 993.

Fogg, B. J. (2003). Prominence-interpretation theory: Explaining how people assess credibility online. In CHI'03 extended abstracts on human factors in computing systems (pp. 722-723).

Geschke, D., Lorenz, J., & Holtz, P. (2019). The triple‐filter bubble: Using agent‐based modelling to test a meta‐theoretical framework for the emergence of filter bubbles and echo chambers. British Journal of Social Psychology, 58(1), 129-149.

High, A. C., & Caplan, S. E. (2009). Social anxiety and computer-mediated communication during initial interactions: Implications for the hyperpersonal perspective. Computers in Human Behavior, 25(2), 475-482.

John, N. A., & Dvir-Gvirsman, S. (2015). “I Don’t Like You Any More”: Facebook Unfriending by Israelis During the Israel–Gaza Conflict of 2014. Journal of Communication, 65(6), 953-974.

Nickerson, R. S. (1998). Confirmation bias: A ubiquitous phenomenon in many guises. Review of general psychology, 2(2), 175-220.

Pariser, E. (2011). The filter bubble: How the new personalized web is changing what we read and how we think. Penguin.

Petty, R. E., & Cacioppo, J. T. (1986). The elaboration likelihood model of persuasion. In Communication and persuasion (pp. 1-24). Springer, New York, NY.

Van Mierlo, T. (2014). The 1% rule in four digital health social networks: an observational study. Journal of medical Internet research, 16(2), e33.

Vosoughi, S., Roy, D., & Aral, S. (2018). The spread of true and false news online. Science, 359(6380), 1146-1151.

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