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Universität Bamberg: 15 Early Stage Researcher (PhD) positions
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Data from an online dating platform are used to study the importance of education for initiating and replying to online contacts. We analyse how these patterns are influenced by educational homophily and opportunity structures. Social exchange theory and mate search theory are used to explain online mate selection behaviour. Our results show that educational homophily is the dominant mechanism in online mate choice. Similarity in education significantly increases the rate of both sending and replying to initial contacts.
After controlling for the opportunity structure on the platform, the preference for similar educated others is the most important factor, particularly among women. Our results also support the exchange theoretical idea that homophily increases with educational level.
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Apocalypses in American Literature (PS II – SS 2007 -Uni Bamberg)
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Chair of Sociology I, University of Bamberg, Wilhelmsplatz 3, Bamberg on different Web sites, such as online-dating platforms, and masquerade as.
To browse Academia. Skip to main content. Log In Sign Up. Unfollow Follow Unblock. Other Affiliations:. I have been working on the documentation of the Oceanic language Vera’a, spoken in North Vanuatu. The current corpus For the glossing manual, see the papers section. Ulrike Mosel , Geoffrey L. Haig edit.
As the access to this document is restricted, you may want to search for a different version of it. More about this item Keywords Topic interest ; Unit nonresponse ; Online survey ; Web-generated process data ; Online dating ; Success bias ; Statistics Access and download statistics Corrections All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions.
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The workshop itself takes place March, Call for Papers: Background: Linguistic typology has traditionally taken the ”language” as a unit of comparison, and compared these units on the basis of features extracted from grammatical descriptions. A complementary approach involves harnessing recent developments in corpus linguistics and variationist sociolinguistics to the analysis of cross-linguistic data.
This approach, loosely termed corpus-based typology, deals with probabilistic generalizations drawn from observed language use recorded in corpora, and its object of study is a population of utterances, rather than languages as holistic artefacts cf. While research drawing on written corpus data has become increasingly influential in linguistic typology Haspelmath et al , see esp. A particular challenge to date consists in rendering this kind of data amenable to systematic investigation across corpora from diverse languages.
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