From secrete admirer to cyberstalker - a measure of online interpersonal surveillance

Zijian Zhang; Jiamou Liu Ziheng Wei; Yingying Tao Quan Bai

doi:10.1145/3110025.3110065

From secrete admirer to cyberstalker - a measure of online interpersonal surveillance

Zijian Zhang, Jiamou Liu Ziheng Wei, Yingying Tao Quan Bai

School of Cyberspace Science and Technology

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

2 Citations (Scopus)

Abstract

By persistently gathering information over social networks, a person can extract detailed accounts of the lives of others and monitor their daily routines. Such surveillance behaviors have posed serious privacy concerns. This paper addresses the question, “who is surveilling you through social networking?”. Viewing a network as interconnected agents who interact through posting and retrieving information, we provide a measure to quantify the level of attention a person pays towards another. This measure allows us to capture online interpersonal surveillance.

Original language	English
Title of host publication	Proceedings of the 2017 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2017
Editors	Jana Diesner, Elena Ferrari, Guandong Xu
Publisher	Association for Computing Machinery, Inc
Pages	613-614
Number of pages	2
ISBN (Electronic)	9781450349932
DOIs	https://doi.org/10.1145/3110025.3110065
Publication status	Published - 31 Jul 2017
Event	9th IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2017 - Sydney, Australia Duration: 31 Jul 2017 → 3 Aug 2017

Publication series

Name	Proceedings of the 2017 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2017

Conference

Conference	9th IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2017
Country/Territory	Australia
City	Sydney
Period	31/07/17 → 3/08/17

Keywords

Attention
Cyberstalking
Interpersonal surveillance
Social network

Access to Document

10.1145/3110025.3110065

Cite this

Zhang, Z., Ziheng Wei, J. L., & Quan Bai, Y. T. (2017). From secrete admirer to cyberstalker - a measure of online interpersonal surveillance. In J. Diesner, E. Ferrari, & G. Xu (Eds.), Proceedings of the 2017 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2017 (pp. 613-614). (Proceedings of the 2017 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2017). Association for Computing Machinery, Inc. https://doi.org/10.1145/3110025.3110065

Zhang, Zijian ; Ziheng Wei, Jiamou Liu ; Quan Bai, Yingying Tao. / From secrete admirer to cyberstalker - a measure of online interpersonal surveillance. Proceedings of the 2017 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2017. editor / Jana Diesner ; Elena Ferrari ; Guandong Xu. Association for Computing Machinery, Inc, 2017. pp. 613-614 (Proceedings of the 2017 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2017).

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title = "From secrete admirer to cyberstalker - a measure of online interpersonal surveillance",

abstract = "By persistently gathering information over social networks, a person can extract detailed accounts of the lives of others and monitor their daily routines. Such surveillance behaviors have posed serious privacy concerns. This paper addresses the question, “who is surveilling you through social networking?”. Viewing a network as interconnected agents who interact through posting and retrieving information, we provide a measure to quantify the level of attention a person pays towards another. This measure allows us to capture online interpersonal surveillance.",

keywords = "Attention, Cyberstalking, Interpersonal surveillance, Social network",

author = "Zijian Zhang and {Ziheng Wei}, {Jiamou Liu} and {Quan Bai}, {Yingying Tao}",

note = "Publisher Copyright: {\textcopyright} 2017 Association for Computing Machinery.; 9th IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2017 ; Conference date: 31-07-2017 Through 03-08-2017",

year = "2017",

month = jul,

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doi = "10.1145/3110025.3110065",

language = "English",

series = "Proceedings of the 2017 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2017",

publisher = "Association for Computing Machinery, Inc",

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booktitle = "Proceedings of the 2017 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2017",

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Zhang, Z, Ziheng Wei, JL & Quan Bai, YT 2017, From secrete admirer to cyberstalker - a measure of online interpersonal surveillance. in J Diesner, E Ferrari & G Xu (eds), Proceedings of the 2017 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2017. Proceedings of the 2017 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2017, Association for Computing Machinery, Inc, pp. 613-614, 9th IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2017, Sydney, Australia, 31/07/17. https://doi.org/10.1145/3110025.3110065

From secrete admirer to cyberstalker - a measure of online interpersonal surveillance. / Zhang, Zijian; Ziheng Wei, Jiamou Liu; Quan Bai, Yingying Tao.
Proceedings of the 2017 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2017. ed. / Jana Diesner; Elena Ferrari; Guandong Xu. Association for Computing Machinery, Inc, 2017. p. 613-614 (Proceedings of the 2017 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2017).

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

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N2 - By persistently gathering information over social networks, a person can extract detailed accounts of the lives of others and monitor their daily routines. Such surveillance behaviors have posed serious privacy concerns. This paper addresses the question, “who is surveilling you through social networking?”. Viewing a network as interconnected agents who interact through posting and retrieving information, we provide a measure to quantify the level of attention a person pays towards another. This measure allows us to capture online interpersonal surveillance.

AB - By persistently gathering information over social networks, a person can extract detailed accounts of the lives of others and monitor their daily routines. Such surveillance behaviors have posed serious privacy concerns. This paper addresses the question, “who is surveilling you through social networking?”. Viewing a network as interconnected agents who interact through posting and retrieving information, we provide a measure to quantify the level of attention a person pays towards another. This measure allows us to capture online interpersonal surveillance.

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KW - Interpersonal surveillance

KW - Social network

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Zhang Z, Ziheng Wei JL, Quan Bai YT. From secrete admirer to cyberstalker - a measure of online interpersonal surveillance. In Diesner J, Ferrari E, Xu G, editors, Proceedings of the 2017 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2017. Association for Computing Machinery, Inc. 2017. p. 613-614. (Proceedings of the 2017 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2017). doi: 10.1145/3110025.3110065

From secrete admirer to cyberstalker - a measure of online interpersonal surveillance

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