TY - JOUR
T1 - Vulnerability in social epistemic networks
AU - Sullivan, Emily
AU - Sondag, Max
AU - Rutter, Ignaz
AU - Meulemans, Wouter
AU - Cunningham, Scott
AU - Speckmann, Bettina
AU - Alfano, Mark
PY - 2020
Y1 - 2020
N2 - Social epistemologists should be well-equipped to explain and evaluate the growing vulnerabilities associated with filter bubbles, echo chambers, and group polarization in social media. However, almost all social epistemology has been built for social contexts that involve merely a speaker-hearer dyad. Filter bubbles, echo chambers, and group polarization all presuppose much larger and more complex network structures. In this paper, we lay the groundwork for a properly social epistemology that gives the role and structure of networks their due. In particular, we formally define epistemic constructs that quantify the structural epistemic position of each node within an interconnected network. We argue for the epistemic value of a structure that we call the (m,k)-observer. We then present empirical evidence that (m,k)-observers are rare in social media discussions of controversial topics, which suggests that people suffer from serious problems of epistemic vulnerability. We conclude by arguing that social epistemologists and computer scientists should work together to develop minimal interventions that improve the structure of epistemic networks.
AB - Social epistemologists should be well-equipped to explain and evaluate the growing vulnerabilities associated with filter bubbles, echo chambers, and group polarization in social media. However, almost all social epistemology has been built for social contexts that involve merely a speaker-hearer dyad. Filter bubbles, echo chambers, and group polarization all presuppose much larger and more complex network structures. In this paper, we lay the groundwork for a properly social epistemology that gives the role and structure of networks their due. In particular, we formally define epistemic constructs that quantify the structural epistemic position of each node within an interconnected network. We argue for the epistemic value of a structure that we call the (m,k)-observer. We then present empirical evidence that (m,k)-observers are rare in social media discussions of controversial topics, which suggests that people suffer from serious problems of epistemic vulnerability. We conclude by arguing that social epistemologists and computer scientists should work together to develop minimal interventions that improve the structure of epistemic networks.
KW - experimental philosophy
KW - filter bubble
KW - formal epistemology
KW - network
KW - Social epistemology
UR - http://www.scopus.com/inward/record.url?scp=85087378949&partnerID=8YFLogxK
U2 - 10.1080/09672559.2020.1782562
DO - 10.1080/09672559.2020.1782562
M3 - Article
AN - SCOPUS:85087378949
SN - 0967-2559
VL - 28
SP - 731
EP - 753
JO - International Journal of Philosophical Studies
JF - International Journal of Philosophical Studies
IS - 5
ER -