Matches in SemOpenAlex for { <https://semopenalex.org/work/W3036100404> ?p ?o ?g. }
Showing items 1 to 42 of
42
with 100 items per page.
- W3036100404 endingPage "48" @default.
- W3036100404 startingPage "27" @default.
- W3036100404 abstract "In this chapter we test two techniques of textual analysis for measuring populism across large numbers of party systems. We first use holistic grading, applying the technique to electoral manifestos from 144 parties in 27 countries from Western Europe and the Americas; as a validity check, for about half the sample we also code campaign speeches by candidates or party leaders. Our results show that manifestos perform relatively well alone, and that populism is stronger in Latin America than in Europe; indeed, the level of populism among some European parties typically considered as examples of radical right populism might be overstated. We then contrast the results with automated textual analysis, applying supervised learning methods to generate a model that can correctly classify documents as populist or not. In this sample, the results are not fully satisfactory, performing well only if we restrict populist classification to a binary choice, but they indicate that with more data automated techniques could be a viable option." @default.
- W3036100404 created "2020-06-25" @default.
- W3036100404 creator A5008053056 @default.
- W3036100404 creator A5052791757 @default.
- W3036100404 date "2018-10-11" @default.
- W3036100404 modified "2023-09-26" @default.
- W3036100404 title "Textual analysis" @default.
- W3036100404 cites W2105173981 @default.
- W3036100404 doi "https://doi.org/10.4324/9781315196923-2" @default.
- W3036100404 hasPublicationYear "2018" @default.
- W3036100404 type Work @default.
- W3036100404 sameAs 3036100404 @default.
- W3036100404 citedByCount "13" @default.
- W3036100404 countsByYear W30361004042019 @default.
- W3036100404 countsByYear W30361004042020 @default.
- W3036100404 countsByYear W30361004042021 @default.
- W3036100404 countsByYear W30361004042022 @default.
- W3036100404 countsByYear W30361004042023 @default.
- W3036100404 crossrefType "book-chapter" @default.
- W3036100404 hasAuthorship W3036100404A5008053056 @default.
- W3036100404 hasAuthorship W3036100404A5052791757 @default.
- W3036100404 hasConcept C41008148 @default.
- W3036100404 hasConceptScore W3036100404C41008148 @default.
- W3036100404 hasLocation W30361004041 @default.
- W3036100404 hasOpenAccess W3036100404 @default.
- W3036100404 hasPrimaryLocation W30361004041 @default.
- W3036100404 hasRelatedWork W1596801655 @default.
- W3036100404 hasRelatedWork W2130043461 @default.
- W3036100404 hasRelatedWork W2350741829 @default.
- W3036100404 hasRelatedWork W2358668433 @default.
- W3036100404 hasRelatedWork W2376932109 @default.
- W3036100404 hasRelatedWork W2382290278 @default.
- W3036100404 hasRelatedWork W2390279801 @default.
- W3036100404 hasRelatedWork W2748952813 @default.
- W3036100404 hasRelatedWork W2899084033 @default.
- W3036100404 hasRelatedWork W2530322880 @default.
- W3036100404 isParatext "false" @default.
- W3036100404 isRetracted "false" @default.
- W3036100404 magId "3036100404" @default.
- W3036100404 workType "book-chapter" @default.