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Topic Modeling as a Method for Frame Analysis: Data Mining the Climate Change Debate in India and the USA
| Content Provider | Scilit |
|---|---|
| Author | Ylä-Anttila, Tuukka Eranti, Veikko Kukkonen, Anna |
| Copyright Year | 2018 |
| Description | This article proposes an operationalization of topic modeling as a data mining method for studying framing in public debates. We argue that 'topics' can be interpreted as frames, if 1) frames are operationalized as connections between concepts, 2) subject-specific data is selected, and 3) topics are adequately validated as frames, for which we suggest a practical procedure. As an empirical example, we study the global climate change debate in the media, by comparing frames used by NGO's, governments and experts in India and the USA. Our model identifies 12 framings of climate change, used in varied proportions by the different actors in the two countries. Topic modeling frames enables the usage of larger datasets and facilitates discovery of previously unnoticed framing patterns. It does not replace qualitative interpretation, but rather complements it by enabling a degree of automated classification before the interpretive stage. |
| DOI | 10.31235/osf.io/dgc38 |
| Language | English |
| Publisher | Center for Open Science |
| Publisher Date | 2018-03-20 |
| Access Restriction | Open |
| Subject Keyword | Topic Modeling Climate Change |
| Content Type | Text |
| Resource Type | Article |
