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The Confidant Response Model: Examin...
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Robbins, Stephanie A.
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The Confidant Response Model: Examining the Impact of Structure on Response Decisions for Recipients of Distressing Disclosures.
Record Type:
Language materials, printed : Monograph/item
Title/Author:
The Confidant Response Model: Examining the Impact of Structure on Response Decisions for Recipients of Distressing Disclosures./
Author:
Robbins, Stephanie A.
Description:
166 p.
Notes:
Source: Dissertation Abstracts International, Volume: 75-03(E), Section: A.
Contained By:
Dissertation Abstracts International75-03A(E).
Subject:
Speech Communication. -
Online resource:
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3602199
ISBN:
9781303540363
The Confidant Response Model: Examining the Impact of Structure on Response Decisions for Recipients of Distressing Disclosures.
Robbins, Stephanie A.
The Confidant Response Model: Examining the Impact of Structure on Response Decisions for Recipients of Distressing Disclosures.
- 166 p.
Source: Dissertation Abstracts International, Volume: 75-03(E), Section: A.
Thesis (Ph.D.)--University of California, Santa Barbara, 2013.
Modern technology has created a confessional culture, in which individuals regularly disclose personal information on public forums. However, little research has examined the effects of these disclosures on confidants. As such, the Confidant Response Theory (CRT) is advanced. The CRT is a framework that advances three phases (structural elements, cost-benefit analysis of engaging, and boundary management) to explain the impact of structural features and outcome expectancies on confidant decision-making processes. A portion of the CRT is tested, against the backdrop of research on the bystander effect, by manipulating structural features identifying response publicness on a simulated social networking site. Specifically, participants were led to believe they were viewing an acquaintance's distressing post on Facebook, and were given the option to either publicly comment or skip the posting. Response decisions and latencies were recorded. Findings indicate that structure indeed impacts response decisions: individuals were less likely to help (e.g., leave a textual response) in the presence of greater numbers of bystanders, and those who left a textual comment took longer to help when those bystanders included more friends. Finally, the present investigation examined the impact of online helping behaviors on immediately following offline helping behaviors, finding that those individuals who helped online were more likely to help offline. Practical and theoretical implications of the findings are discussed.
ISBN: 9781303540363Subjects--Topical Terms:
1017408
Speech Communication.
The Confidant Response Model: Examining the Impact of Structure on Response Decisions for Recipients of Distressing Disclosures.
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166 p.
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Source: Dissertation Abstracts International, Volume: 75-03(E), Section: A.
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Adviser: Walid A. Afifi.
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Modern technology has created a confessional culture, in which individuals regularly disclose personal information on public forums. However, little research has examined the effects of these disclosures on confidants. As such, the Confidant Response Theory (CRT) is advanced. The CRT is a framework that advances three phases (structural elements, cost-benefit analysis of engaging, and boundary management) to explain the impact of structural features and outcome expectancies on confidant decision-making processes. A portion of the CRT is tested, against the backdrop of research on the bystander effect, by manipulating structural features identifying response publicness on a simulated social networking site. Specifically, participants were led to believe they were viewing an acquaintance's distressing post on Facebook, and were given the option to either publicly comment or skip the posting. Response decisions and latencies were recorded. Findings indicate that structure indeed impacts response decisions: individuals were less likely to help (e.g., leave a textual response) in the presence of greater numbers of bystanders, and those who left a textual comment took longer to help when those bystanders included more friends. Finally, the present investigation examined the impact of online helping behaviors on immediately following offline helping behaviors, finding that those individuals who helped online were more likely to help offline. Practical and theoretical implications of the findings are discussed.
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http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3602199
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