MARC 主機 00000nam  2200337   4500 
001    AAI3101293 
005    20061222083424.5 
008    061222s2003                        eng d 
020    9780496488810 
035    (UnM)AAI3101293 
040    UnM|cUnM 
100 1  Kahlor, LeeAnn 
245 10 Modeling predictors of risk information-seeking and 
       processing when risks pose impersonal (rather than 
       personal) threats 
300    161 p 
500    Source: Dissertation Abstracts International, Volume: 64-
       08, Section: A, page: 2691 
500    Supervisor: Sharon Dunwoody 
502    Thesis (Ph.D.)--The University of Wisconsin - Madison, 
520    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
520    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    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 
520    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 
590    School code: 0262 
590    DDC 
650  4 Mass Communications 
690    0708 
710 20 The University of Wisconsin - Madison 
773 0  |tDissertation Abstracts International|g64-08A 
856 40 |u