Social influence: from contagion to a richer causal understanding
Social influence: from contagion to a richer causal understanding
A central problem in the analysis of observational data is inferring causal relationships - what are the underlying causes of the observed behaviors? With the recent proliferation of Big Data from online social networks, it has become important to determine to what extent social influence causes certain messages to ‘go viral’, and to what extent other causes also play a role. In this paper, we present a causal framework showing that social influence is confounded with personal similarity, traits of the focal item, and external circumstances. Combined with a set of qualitative considerations on the combination of these sources of causation, we show how this framework can enable investigators to systematically evaluate, strengthen and qualify causal claims about social influence, and we demonstrate its usefulness and versatility by applying it to a variety of common online social datasets.
116-132
Liotsiou, Dimitra
daf84d0f-299b-403f-94e3-bfdf4aadc7a0
Moreau, Luc
033c63dd-3fe9-4040-849f-dfccbe0406f8
Halford, Susan
0d0fe4d6-3c4b-4887-84bb-738cf3249d46
2016
Liotsiou, Dimitra
daf84d0f-299b-403f-94e3-bfdf4aadc7a0
Moreau, Luc
033c63dd-3fe9-4040-849f-dfccbe0406f8
Halford, Susan
0d0fe4d6-3c4b-4887-84bb-738cf3249d46
Liotsiou, Dimitra, Moreau, Luc and Halford, Susan
(2016)
Social influence: from contagion to a richer causal understanding.
In Social Informatics: 8th International Conference, SocInfo 2016, Bellevue, WA, USA, November 11-14, 2016, Proceedings, Part 2.
vol. 10047,
Springer.
.
(doi:10.1007/978-3-319-47874-6_9).
Record type:
Conference or Workshop Item
(Paper)
Abstract
A central problem in the analysis of observational data is inferring causal relationships - what are the underlying causes of the observed behaviors? With the recent proliferation of Big Data from online social networks, it has become important to determine to what extent social influence causes certain messages to ‘go viral’, and to what extent other causes also play a role. In this paper, we present a causal framework showing that social influence is confounded with personal similarity, traits of the focal item, and external circumstances. Combined with a set of qualitative considerations on the combination of these sources of causation, we show how this framework can enable investigators to systematically evaluate, strengthen and qualify causal claims about social influence, and we demonstrate its usefulness and versatility by applying it to a variety of common online social datasets.
Text
DLiotsiouSocialInfluenceCausalityCR.pdf
- Accepted Manuscript
More information
Accepted/In Press date: 27 September 2016
e-pub ahead of print date: 19 October 2016
Published date: 2016
Venue - Dates:
8th International Conference on Social Informatics (SocInfo 2016), Bellevue, United States, 2016-11-11 - 2016-11-14
Organisations:
Web & Internet Science
Identifiers
Local EPrints ID: 401369
URI: http://eprints.soton.ac.uk/id/eprint/401369
PURE UUID: 93facf60-5c59-4afa-8a94-e5c44b906639
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Date deposited: 29 Nov 2016 15:11
Last modified: 15 Mar 2024 18:33
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Contributors
Author:
Dimitra Liotsiou
Author:
Luc Moreau
Author:
Susan Halford
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