Social network epistemology

Mark Alfano, Scott Cunningham, Wouter Muelemans, Ignaz Rutter, Max Sontag, Bettina Speckmann, Emily Sullivan

Research output: Contribution to conferenceAbstract

Abstract

This abstract describes how tools from network analysis and visualization can successfully support the study of philosophical questions in social epistemology. We introduce a particular network structure, namely the (m, k)-observer. We argue for its epistemic value and show that such observers are extremely rare in social media discussions of controversial topics. Our specific use case concerns a discussion of vaccine safety on Twitter.
Original languageEnglish
Pages320-321
Number of pages2
Publication statusPublished - 1 Nov 2018
EventIEEE 14th International Conference on eScience 2018 - Amsterdam, Netherlands
Duration: 29 Oct 20181 Nov 2018

Conference

ConferenceIEEE 14th International Conference on eScience 2018
CountryNetherlands
CityAmsterdam
Period29/10/181/11/18

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epistemology
social network
twitter
network analysis
social media
visualization
Values

Keywords

  • epistemology
  • social networks

Cite this

Alfano, M., Cunningham, S., Muelemans, W., Rutter, I., Sontag, M., Speckmann, B., & Sullivan, E. (2018). Social network epistemology. 320-321. Abstract from IEEE 14th International Conference on eScience 2018, Amsterdam, Netherlands.
Alfano, Mark ; Cunningham, Scott ; Muelemans, Wouter ; Rutter, Ignaz ; Sontag, Max ; Speckmann, Bettina ; Sullivan, Emily. / Social network epistemology. Abstract from IEEE 14th International Conference on eScience 2018, Amsterdam, Netherlands.2 p.
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abstract = "This abstract describes how tools from network analysis and visualization can successfully support the study of philosophical questions in social epistemology. We introduce a particular network structure, namely the (m, k)-observer. We argue for its epistemic value and show that such observers are extremely rare in social media discussions of controversial topics. Our specific use case concerns a discussion of vaccine safety on Twitter.",
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Alfano, M, Cunningham, S, Muelemans, W, Rutter, I, Sontag, M, Speckmann, B & Sullivan, E 2018, 'Social network epistemology', IEEE 14th International Conference on eScience 2018, Amsterdam, Netherlands, 29/10/18 - 1/11/18 pp. 320-321.

Social network epistemology. / Alfano, Mark; Cunningham, Scott; Muelemans, Wouter; Rutter, Ignaz; Sontag, Max; Speckmann, Bettina; Sullivan, Emily.

2018. 320-321 Abstract from IEEE 14th International Conference on eScience 2018, Amsterdam, Netherlands.

Research output: Contribution to conferenceAbstract

TY - CONF

T1 - Social network epistemology

AU - Alfano, Mark

AU - Cunningham, Scott

AU - Muelemans, Wouter

AU - Rutter, Ignaz

AU - Sontag, Max

AU - Speckmann, Bettina

AU - Sullivan, Emily

PY - 2018/11/1

Y1 - 2018/11/1

N2 - This abstract describes how tools from network analysis and visualization can successfully support the study of philosophical questions in social epistemology. We introduce a particular network structure, namely the (m, k)-observer. We argue for its epistemic value and show that such observers are extremely rare in social media discussions of controversial topics. Our specific use case concerns a discussion of vaccine safety on Twitter.

AB - This abstract describes how tools from network analysis and visualization can successfully support the study of philosophical questions in social epistemology. We introduce a particular network structure, namely the (m, k)-observer. We argue for its epistemic value and show that such observers are extremely rare in social media discussions of controversial topics. Our specific use case concerns a discussion of vaccine safety on Twitter.

KW - epistemology

KW - social networks

M3 - Abstract

SP - 320

EP - 321

ER -

Alfano M, Cunningham S, Muelemans W, Rutter I, Sontag M, Speckmann B et al. Social network epistemology. 2018. Abstract from IEEE 14th International Conference on eScience 2018, Amsterdam, Netherlands.