Show simple item record

[journal article]

dc.contributor.authorMerz, Nicolasde
dc.contributor.authorRegel, Svende
dc.contributor.authorLewandowski, Jirkade
dc.date.accessioned2019-10-15T13:55:47Z
dc.date.available2019-10-15T13:55:47Z
dc.date.issued2016de
dc.identifier.issn2053-1680de
dc.identifier.urihttps://www.ssoar.info/ssoar/handle/document/64568
dc.description.abstractThis article presents a digital, open-access, multilingual, annotated corpus of electoral programs. It complements the recent methodological innovations in (semi-) computerized content analysis by providing a large, standardized text corpus for the political science community. The corpus is based on the collection of the Manifesto Project, which comprises of (at the time of writing) the largest hand-annotated text corpus of electoral programs available. Since 2009 the project’s costly and time-intensive procedure of collecting and coding documents has been fully digitized. As a result, it now provides more than 1800 machine readable documents from 40 different countries. Six hundred of these documents contain content-analyzed annotations at the level of single (quasi-) sentences, which correspond to the Manifesto Project coding scheme. Additionally, the corpus will continually be extended by incorporating new elections and digitizing older documents. The database also provides meta-information for each document (eg. party, election, language, etc.) that allow it to be referenced back to the Manifesto Dataset. The corpus is stored in a standardized format in an online database, and an API and R package (manifestoR) guarantee easy access.de
dc.languageende
dc.subject.ddcSozialwissenschaften, Soziologiede
dc.subject.ddcSocial sciences, sociology, anthropologyen
dc.subject.otherR package; electoral programs; text corpusde
dc.titleThe Manifesto Corpus: a new resource for research on political parties and quantitative text analysisde
dc.description.reviewbegutachtet (peer reviewed)de
dc.description.reviewpeer revieweden
dc.source.journalResearch and Politics
dc.source.volume3de
dc.publisher.countryGBR
dc.source.issue2de
dc.subject.classozErhebungstechniken und Analysetechniken der Sozialwissenschaftende
dc.subject.classozMethods and Techniques of Data Collection and Data Analysis, Statistical Methods, Computer Methodsen
dc.subject.thesozWahlkampfde
dc.subject.thesozelection campaignen
dc.subject.thesozpolitisches Programmde
dc.subject.thesozpolitical programen
dc.subject.thesozParteide
dc.subject.thesozpartyen
dc.subject.thesozInhaltsanalysede
dc.subject.thesozcontent analysisen
dc.subject.thesozTextanalysede
dc.subject.thesoztext analysisen
dc.subject.thesozquantitative Methodede
dc.subject.thesozquantitative methoden
dc.subject.thesozDatenbankde
dc.subject.thesozdata banken
dc.rights.licenceCreative Commons - Namensnennung, Nicht-kommerz. 3.0de
dc.rights.licenceCreative Commons - Attribution-NonCommercial 3.0en
ssoar.contributor.institutionWZBde
internal.statusformal und inhaltlich fertig erschlossende
internal.identifier.thesoz10061878
internal.identifier.thesoz10034891
internal.identifier.thesoz10036000
internal.identifier.thesoz10035488
internal.identifier.thesoz10035477
internal.identifier.thesoz10052183
internal.identifier.thesoz10040521
dc.type.stockarticlede
dc.type.documentZeitschriftenartikelde
dc.type.documentjournal articleen
dc.source.pageinfo1-8de
internal.identifier.classoz10105
internal.identifier.journal1137
internal.identifier.document32
internal.identifier.ddc300
dc.identifier.doihttps://doi.org/10.1177/2053168016643346de
dc.description.pubstatusVeröffentlichungsversionde
dc.description.pubstatusPublished Versionen
internal.identifier.licence31
internal.identifier.pubstatus1
internal.identifier.review1
internal.dda.referencehttps://www.econstor.eu/oai/request@@oai:econstor.eu:10419/172197
ssoar.urn.registrationfalsede


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record