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Modeling predictors of risk informat...

Kahlor, LeeAnn.

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Modeling predictors of risk information-seeking and processing when risks pose impersonal (rather than personal) threats.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Modeling predictors of risk information-seeking and processing when risks pose impersonal (rather than personal) threats./
作者:	Kahlor, LeeAnn.
面頁冊數:	161 p.
附註:	Source: Dissertation Abstracts International, Volume: 64-08, Section: A, page: 2691.
Contained By:	Dissertation Abstracts International64-08A.
標題:	Mass Communications. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3101293
ISBN:	9780496488810

Modeling predictors of risk information-seeking and processing when risks pose impersonal (rather than personal) threats.
Kahlor, LeeAnn.

Modeling predictors of risk information-seeking and processing when risks pose impersonal (rather than personal) threats. - 161 p.

Source: Dissertation Abstracts International, Volume: 64-08, Section: A, page: 2691.

Thesis (Ph.D.)--The University of Wisconsin - Madison, 2003.

This dissertation draws on a recently developed model that maps predictors of information seeking and processing strategies within a risk setting. The value of the model---which was developed by Robert Griffin, Sharon Dunwoody and Kurt Neuwirth in the late 90s---lies not in its depiction of each individual relationship but in its effort to map those relationships causally to capture the complexity of a risk information-processing event. An additional strength of the model is its treatment of processing strategies as dependent rather than independent variables.

ISBN: 9780496488810Subjects--Topical Terms:

1017395
Mass Communications.

Modeling predictors of risk information-seeking and processing when risks pose impersonal (rather than personal) threats.
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245 1 0 $a Modeling predictors of risk information-seeking and processing when risks pose impersonal (rather than personal) threats.
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500 $a Source: Dissertation Abstracts International, Volume: 64-08, Section: A, page: 2691.
500 $a Supervisor: Sharon Dunwoody.
502 $a Thesis (Ph.D.)--The University of Wisconsin - Madison, 2003.
520 $a This dissertation draws on a recently developed model that maps predictors of information seeking and processing strategies within a risk setting. The value of the model---which was developed by Robert Griffin, Sharon Dunwoody and Kurt Neuwirth in the late 90s---lies not in its depiction of each individual relationship but in its effort to map those relationships causally to capture the complexity of a risk information-processing event. An additional strength of the model is its treatment of processing strategies as dependent rather than independent variables.
520 $a Previous research has applied the model to risks that pose a direct personal threat to individuals (for example, the consumption of contaminated fish or drinking water). This dissertation studies the goodness of fit of that model to risks that pose a more impersonal threat (in this case, the general health of the Great Lakes). Impersonal risks are those risks that pose no direct threat; they pose an indirect personal threat or a direct threat to entities other than the self. Environmental hazards such as global warming, overfishing, and encroachment on wildlife refuges fall into this category of risk.
520 $a The study finds the model is appropriate for both impersonal and personal threats. However, the extent to which the contributing factors ultimately predict to information processing in both risk situations differs. One example is the contribution made to affect by personal relevance indicators (as represented in the perceived hazard characteristics). One of the most important distinctions between personal and impersonal threats is the role played by perceived personal relevance (e.g., perceived personal risk and worry) in driving information processing styles. These results suggest that risk communicators interested in educating the public about impersonal risks should amplify relevance indicators aside from perceived personal risk when creating the target message.
520 $a Future research is necessary to determine the most informative and predictive iteration of the model. For example, while the original model portrays most predictors as acting indirectly on information seeking and processing (e.g., through the perceived gap between current information and information needed), this dissertation shows that those variables also have some direct influence on seeking and processing.
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