Title:
Analyzing Framing Processes by Means of Logical Argument Mapping
Analyzing Framing Processes by Means of Logical Argument Mapping
| dc.contributor.author | Hoffmann, Michael H. G. | en_US |
| dc.contributor.corporatename | Georgia Institute of Technology. School of Public Policy | en_US |
| dc.date.accessioned | 2008-06-02T20:00:54Z | |
| dc.date.available | 2008-06-02T20:00:54Z | |
| dc.date.issued | 2008 | |
| dc.description.abstract | The primary goal of this chapter is to present a new method—called Logical Argument Mapping (LAM)—for the analysis of framing processes. To justify this approach, I start with a distinction between boundary setting, sensemaking, and meaning construction as three forms or aspects of framing, and argue that crucial for the resolution of framebased controversies is our ability to deal with entire "webs" of mutually supporting beliefs. LAM allows us to visualize the inferential structure of those webs of belief in a holistic manner. The method is introduced by means of an exemplary analysis of two conflicting interpretations of how the international community should deal with Hamas after its election victory in 2006. | en_US |
| dc.identifier.uri | http://hdl.handle.net/1853/22232 | |
| dc.language.iso | en_US | en_US |
| dc.publisher | Georgia Institute of Technology | en_US |
| dc.relation.ispartofseries | School of Public Policy Working Papers ; 36 | en_US |
| dc.subject | Logical argument mapping | en_US |
| dc.subject | LAM | en_US |
| dc.subject | Framing | en_US |
| dc.subject | Webs of belief | en_US |
| dc.subject | Middle-East conflict | en_US |
| dc.title | Analyzing Framing Processes by Means of Logical Argument Mapping | en_US |
| dc.type | Text | |
| dc.type.genre | Working Paper | |
| dspace.entity.type | Publication | |
| local.contributor.corporatename | School of Public Policy | |
| local.contributor.corporatename | Ivan Allen College of Liberal Arts | |
| local.relation.ispartofseries | School of Public Policy Working Papers | |
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| relation.isOrgUnitOfPublication | b1049ff1-5166-442c-9e14-ad804b064e38 | |
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