@inproceedings{van-den-berg-etal-2020-doctor,
title = "Doctor Who? Framing Through Names and Titles in {G}erman",
author = "van den Berg, Esther and
Korfhage, Katharina and
Ruppenhofer, Josef and
Wiegand, Michael and
Markert, Katja",
booktitle = "Proceedings of the Twelfth Language Resources and Evaluation Conference",
month = may,
year = "2020",
address = "Marseille, France",
publisher = "European Language Resources Association",
url = "https://aclanthology.org/2020.lrec-1.606",
pages = "4924--4932",
abstract = "Entity framing is the selection of aspects of an entity to promote a particular viewpoint towards that entity. We investigate entity framing of political figures through the use of names and titles in German online discourse, enhancing current research in entity framing through titling and naming that concentrates on English only. We collect tweets that mention prominent German politicians and annotate them for stance. We find that the formality of naming in these tweets correlates positively with their stance. This confirms sociolinguistic observations that naming and titling can have a status-indicating function and suggests that this function is dominant in German tweets mentioning political figures. We also find that this status-indicating function is much weaker in tweets from users that are politically left-leaning than in tweets by right-leaning users. This is in line with observations from moral psychology that left-leaning and right-leaning users assign different importance to maintaining social hierarchies.",
language = "English",
ISBN = "979-10-95546-34-4",
}
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<abstract>Entity framing is the selection of aspects of an entity to promote a particular viewpoint towards that entity. We investigate entity framing of political figures through the use of names and titles in German online discourse, enhancing current research in entity framing through titling and naming that concentrates on English only. We collect tweets that mention prominent German politicians and annotate them for stance. We find that the formality of naming in these tweets correlates positively with their stance. This confirms sociolinguistic observations that naming and titling can have a status-indicating function and suggests that this function is dominant in German tweets mentioning political figures. We also find that this status-indicating function is much weaker in tweets from users that are politically left-leaning than in tweets by right-leaning users. This is in line with observations from moral psychology that left-leaning and right-leaning users assign different importance to maintaining social hierarchies.</abstract>
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%0 Conference Proceedings
%T Doctor Who? Framing Through Names and Titles in German
%A van den Berg, Esther
%A Korfhage, Katharina
%A Ruppenhofer, Josef
%A Wiegand, Michael
%A Markert, Katja
%S Proceedings of the Twelfth Language Resources and Evaluation Conference
%D 2020
%8 May
%I European Language Resources Association
%C Marseille, France
%@ 979-10-95546-34-4
%G English
%F van-den-berg-etal-2020-doctor
%X Entity framing is the selection of aspects of an entity to promote a particular viewpoint towards that entity. We investigate entity framing of political figures through the use of names and titles in German online discourse, enhancing current research in entity framing through titling and naming that concentrates on English only. We collect tweets that mention prominent German politicians and annotate them for stance. We find that the formality of naming in these tweets correlates positively with their stance. This confirms sociolinguistic observations that naming and titling can have a status-indicating function and suggests that this function is dominant in German tweets mentioning political figures. We also find that this status-indicating function is much weaker in tweets from users that are politically left-leaning than in tweets by right-leaning users. This is in line with observations from moral psychology that left-leaning and right-leaning users assign different importance to maintaining social hierarchies.
%U https://aclanthology.org/2020.lrec-1.606
%P 4924-4932
Markdown (Informal)
[Doctor Who? Framing Through Names and Titles in German](https://aclanthology.org/2020.lrec-1.606) (van den Berg et al., LREC 2020)
ACL
- Esther van den Berg, Katharina Korfhage, Josef Ruppenhofer, Michael Wiegand, and Katja Markert. 2020. Doctor Who? Framing Through Names and Titles in German. In Proceedings of the Twelfth Language Resources and Evaluation Conference, pages 4924–4932, Marseille, France. European Language Resources Association.