Abstract
Destination image significantly influences a tourist's decision-making
process. The impact of news media coverage
on destination image has attracted research attention and became particularly
evident after catastrophic events such
as the 2004 Indian Ocean earthquake that triggered a series of lethal
tsunamis. Building upon previous research, this
paper analyzes the prevalence of tourism destinations among 162 international
media sites. Term frequency captures
the attention a destination receives � from a general and, after contextual
filtering, from a tourism perspective. Calculating
sentiment estimates positive and negative media influences on destination
image at a given point in time.
Identifying semantic associations with the names of countries and
major cities, the results of co-occurrence analysis
reveal the public profiles of destinations, and the impact of current
events on media coverage. These results allow
national tourism organizations to assess how their destination is
covered by news media in general, and in a specific
tourism context. To guide analysts and marketers in this assessment,
an iterative analysis of semantic associations
through natural language processing extracts tourism knowledge automatically,
and represents this knowledge as
ontological structures.
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