The effects of social structure overlap and profile extensiveness on Facebook friend requests

Yi Wu; Ben C.F. Choi; Jie Yu

doi:10.1007/978-3-319-39396-4_13

The effects of social structure overlap and profile extensiveness on Facebook friend requests

Yi Wu, Ben C.F. Choi, Jie Yu^*

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

In online social networks, new social connectivity is established when a respondent accepts a friend request from an unfamiliar requestor. While users are generally willing to establish online social connectivity, they are at times reluctant in constructing profile connections with unfamiliar others. Drawing on the privacy calculus perspective, this study examines the effects of social structure overlap and profile extensiveness on privacy risks as well as social capital gains and how the respondent responds to a friend request (i.e., intention to accept). The results provide strong evidence that social structure overlap and profile extensiveness influence privacy risks and social capital gains. In addition, while privacy risks reduce intention to accept, social capital gains increase intention to accept online social connectivity.

Original language	English
Title of host publication	HCI in Business, Government, and Organizations
Subtitle of host publication	eCommerce and Innovation - 3rd International Conference, HCIBGO 2016 and Held as Part of HCI International 2016, Proceedings
Editors	Fiona Fui-Hoon Nah, Chuan-Hoo Tan
Publisher	Springer Verlag
Pages	141-152
Number of pages	12
ISBN (Print)	9783319393957
DOIs	https://doi.org/10.1007/978-3-319-39396-4_13
Publication status	Published - 2016
Externally published	Yes
Event	3rd International Conference on HCI in Business, Government, and Organizations: eCommerce and Innovation, HCIBGO 2016 and Held as Part of 18th International Conference on Human-Computer Interaction, HCI International 2016 - Toronto, Canada Duration: Jul 17 2016 → Jul 22 2016

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	9751
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	3rd International Conference on HCI in Business, Government, and Organizations: eCommerce and Innovation, HCIBGO 2016 and Held as Part of 18th International Conference on Human-Computer Interaction, HCI International 2016
Country/Territory	Canada
City	Toronto
Period	7/17/16 → 7/22/16

Bibliographical note

Publisher Copyright:
© Springer International Publishing Switzerland 2016.

ASJC Scopus Subject Areas

Theoretical Computer Science
General Computer Science

Keywords

Impression formation
Intention to accept
Online social connectivity
Online social networks
Privacy calculus

Access to Document

10.1007/978-3-319-39396-4_13

Cite this

Wu, Y., Choi, B. C. F., & Yu, J. (2016). The effects of social structure overlap and profile extensiveness on Facebook friend requests. In F. F.-H. Nah, & C.-H. Tan (Eds.), HCI in Business, Government, and Organizations: eCommerce and Innovation - 3rd International Conference, HCIBGO 2016 and Held as Part of HCI International 2016, Proceedings (pp. 141-152). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 9751). Springer Verlag. https://doi.org/10.1007/978-3-319-39396-4_13

Wu, Yi ; Choi, Ben C.F. ; Yu, Jie. / The effects of social structure overlap and profile extensiveness on Facebook friend requests. HCI in Business, Government, and Organizations: eCommerce and Innovation - 3rd International Conference, HCIBGO 2016 and Held as Part of HCI International 2016, Proceedings. editor / Fiona Fui-Hoon Nah ; Chuan-Hoo Tan. Springer Verlag, 2016. pp. 141-152 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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title = "The effects of social structure overlap and profile extensiveness on Facebook friend requests",

abstract = "In online social networks, new social connectivity is established when a respondent accepts a friend request from an unfamiliar requestor. While users are generally willing to establish online social connectivity, they are at times reluctant in constructing profile connections with unfamiliar others. Drawing on the privacy calculus perspective, this study examines the effects of social structure overlap and profile extensiveness on privacy risks as well as social capital gains and how the respondent responds to a friend request (i.e., intention to accept). The results provide strong evidence that social structure overlap and profile extensiveness influence privacy risks and social capital gains. In addition, while privacy risks reduce intention to accept, social capital gains increase intention to accept online social connectivity.",

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author = "Yi Wu and Choi, {Ben C.F.} and Jie Yu",

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doi = "10.1007/978-3-319-39396-4_13",

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series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

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Wu, Y, Choi, BCF & Yu, J 2016, The effects of social structure overlap and profile extensiveness on Facebook friend requests. in FF-H Nah & C-H Tan (eds), HCI in Business, Government, and Organizations: eCommerce and Innovation - 3rd International Conference, HCIBGO 2016 and Held as Part of HCI International 2016, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 9751, Springer Verlag, pp. 141-152, 3rd International Conference on HCI in Business, Government, and Organizations: eCommerce and Innovation, HCIBGO 2016 and Held as Part of 18th International Conference on Human-Computer Interaction, HCI International 2016, Toronto, Canada, 7/17/16. https://doi.org/10.1007/978-3-319-39396-4_13

The effects of social structure overlap and profile extensiveness on Facebook friend requests. / Wu, Yi; Choi, Ben C.F.; Yu, Jie.
HCI in Business, Government, and Organizations: eCommerce and Innovation - 3rd International Conference, HCIBGO 2016 and Held as Part of HCI International 2016, Proceedings. ed. / Fiona Fui-Hoon Nah; Chuan-Hoo Tan. Springer Verlag, 2016. p. 141-152 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 9751).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - The effects of social structure overlap and profile extensiveness on Facebook friend requests

AU - Wu, Yi

AU - Choi, Ben C.F.

AU - Yu, Jie

N1 - Publisher Copyright: © Springer International Publishing Switzerland 2016.

PY - 2016

Y1 - 2016

N2 - In online social networks, new social connectivity is established when a respondent accepts a friend request from an unfamiliar requestor. While users are generally willing to establish online social connectivity, they are at times reluctant in constructing profile connections with unfamiliar others. Drawing on the privacy calculus perspective, this study examines the effects of social structure overlap and profile extensiveness on privacy risks as well as social capital gains and how the respondent responds to a friend request (i.e., intention to accept). The results provide strong evidence that social structure overlap and profile extensiveness influence privacy risks and social capital gains. In addition, while privacy risks reduce intention to accept, social capital gains increase intention to accept online social connectivity.

AB - In online social networks, new social connectivity is established when a respondent accepts a friend request from an unfamiliar requestor. While users are generally willing to establish online social connectivity, they are at times reluctant in constructing profile connections with unfamiliar others. Drawing on the privacy calculus perspective, this study examines the effects of social structure overlap and profile extensiveness on privacy risks as well as social capital gains and how the respondent responds to a friend request (i.e., intention to accept). The results provide strong evidence that social structure overlap and profile extensiveness influence privacy risks and social capital gains. In addition, while privacy risks reduce intention to accept, social capital gains increase intention to accept online social connectivity.

KW - Impression formation

KW - Intention to accept

KW - Online social connectivity

KW - Online social networks

KW - Privacy calculus

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T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 141

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BT - HCI in Business, Government, and Organizations

A2 - Nah, Fiona Fui-Hoon

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PB - Springer Verlag

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Y2 - 17 July 2016 through 22 July 2016

ER -

Wu Y, Choi BCF, Yu J. The effects of social structure overlap and profile extensiveness on Facebook friend requests. In Nah FFH, Tan CH, editors, HCI in Business, Government, and Organizations: eCommerce and Innovation - 3rd International Conference, HCIBGO 2016 and Held as Part of HCI International 2016, Proceedings. Springer Verlag. 2016. p. 141-152. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-319-39396-4_13

The effects of social structure overlap and profile extensiveness on Facebook friend requests

Abstract

Publication series

Conference

Bibliographical note

ASJC Scopus Subject Areas

Keywords

Access to Document

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