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Self-Disclosures on Social Network Sites: The Influence of Context and Motivation on Privacy Management and Self-Disclosure Outcomes

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Abstract:

The current study employed communication privacy management theory (CPM) to examine how the criteria for privacy rules such as context and motivation influence information boundary management, following self-disclosures on social network sites (SNSs). A structural equation model is proposed to test the hypothesized paths. Findings reveal that perceptions of context for boundless communication positively predict both controlling information (i.e., boundary permeability rule of CPM) and the depth of self-disclosures. Controlling information negatively influences the depth of self-disclosure whereas controlling target (i.e., boundary ownership rule of CPM) positively influences the depth of self-disclosure. Implications of the findings are discussed to advance the modeling of comprehensive information boundary management on SNSs.
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Association:
Name: ICA's 67th Annual Conference
URL:
http://www.icahdq.org


Citation:
URL: http://citation.allacademic.com/meta/p1235392_index.html
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MLA Citation:

Choi, Soe Yoon. "Self-Disclosures on Social Network Sites: The Influence of Context and Motivation on Privacy Management and Self-Disclosure Outcomes" Paper presented at the annual meeting of the ICA's 67th Annual Conference, Hilton San Diego Bayfront, San Diego, USA, May 25, 2017 <Not Available>. 2018-01-10 <http://citation.allacademic.com/meta/p1235392_index.html>

APA Citation:

Choi, S. , 2017-05-25 "Self-Disclosures on Social Network Sites: The Influence of Context and Motivation on Privacy Management and Self-Disclosure Outcomes" Paper presented at the annual meeting of the ICA's 67th Annual Conference, Hilton San Diego Bayfront, San Diego, USA Online <APPLICATION/PDF>. 2018-01-10 from http://citation.allacademic.com/meta/p1235392_index.html

Publication Type: Session Paper
Review Method: Peer Reviewed
Abstract: The current study employed communication privacy management theory (CPM) to examine how the criteria for privacy rules such as context and motivation influence information boundary management, following self-disclosures on social network sites (SNSs). A structural equation model is proposed to test the hypothesized paths. Findings reveal that perceptions of context for boundless communication positively predict both controlling information (i.e., boundary permeability rule of CPM) and the depth of self-disclosures. Controlling information negatively influences the depth of self-disclosure whereas controlling target (i.e., boundary ownership rule of CPM) positively influences the depth of self-disclosure. Implications of the findings are discussed to advance the modeling of comprehensive information boundary management on SNSs.


 
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