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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Page: 1 2 Hits 1 – 20 of 31 1 A corpus-based analysis of meaning variations in German tag questions evidence from spoken and written conversational corpora Clausen, Yulia [Verfasser]; Scheffler, Tatjana [Verfasser]. - Potsdam : Universität Potsdam, 2021 DNB Subject Category Language Show details 2 Emoji Homophones ... Scheffler, Tatjana. - : Open Science Framework, 2021 BASE Show details 3 Individual linguistic variability in social media ... Scheffler, Tatjana; Seemann, Hannah. - : Ruhr-Universität Bochum, 2021 BASE Show details 4 The Telegram Chronicles of Online Harm Scheffler, Tatjana; Solopova, Veronika; Popa-Wyatt, Mihaela In: Journal of Open Humanities Data; Vol 7 (2021); 8 ; 2059-481X (2021) Abstract: Harmful language is frequent in social media, in particular in spaces which are considered anonymous and/or allow free participation. In this paper, we analyze the language in a Telegram channel populated by followers of former US President Donald Trump. We seek to identify the ways in which harmful language is used to create a specific narrative in a group of mostly like-minded discussants. Our research has several aims. First, we create an extended taxonomy of potentially harmful language that includes not only hate speech and direct insults (which have been the focus of existing computational methods), but also other forms of harmful speech discussed in the literature. We manually apply this taxonomy to a large portion of the corpus, including the time period leading up to and the aftermath of the January 2021 US Capitol riot. Our data gives empirical evidence for harmful speech, such as in/out-group divisive language and the use of codes within certain communities, that have not often been investigated before. Second, we compare our manual annotations of harmful speech to several automatic methods for classifying hate speech and offensive language, namely list-based and machine-learning-based approaches. We find that the Telegram data sets still pose particular challenges for these automatic methods. Finally, we argue for the value of studying such naturally-occurring, coherent data sets for research on online harm and how to address it in linguistics and philosophy. Keyword: computational linguistics; corpus linguistics; hate speech; linguistics; offensive language detection; online harm; philosophy; social media; Telegram URL: https://doi.org/10.5334/johd.31 https://openhumanitiesdata.metajnl.com/jms/article/view/31 BASE Hide details 5 A Telegram Corpus for Hate Speech, Offensive Language, and Online Harm Scheffler, Tatjana; Solopova, Veronika; Popa-Wyatt, Mihaela In: Journal of Open Humanities Data; Vol 7 (2021); 9 ; 2059-481X (2021) BASE Show details 6 A corpus-based analysis of meaning variations in German tag questions evidence from spoken and written conversational corpora ... Clausen, Yulia; Scheffler, Tatjana. - : Universität Potsdam, 2021 BASE Show details 7 A corpus-based analysis of meaning variations in German tag questions evidence from spoken and written conversational corpora Clausen, Yulia; Scheffler, Tatjana. - 2021 BASE Show details 8 Beißwenger, Michael Scheffler, Tatjana [Verfasser]. - 2020 DNB Subject Category Language Show details 9 Individual linguistic variability in social media Scheffler, Tatjana [Verfasser]; Seemann, Hannah [Verfasser]. - Bochum : Ruhr-Universität Bochum, 2020 DNB Subject Category Language Show details 10 Feature Explorations for Hate Speech Classification Haegert, Erik; Sasse, Mino Lee; Pornavalai, Santichai... In: http://hw.oeaw.ac.at/8435-5 (2018) BASE Show details 11 A dialectical approach for argument-based judgment aggregation Caminada, Martin; Booth, Richard. - : IOS Press, 2016 BASE Show details 12 Mapping German Tweets to Geographic Regions Gontrum, Johannes; Scheffler, Tatjana; Wegel, Matthhias. - 2014 BASE Show details 13 Two-dimensional semantics : clausal adjuncts and complements Scheffler, Tatjana. - Berlin [u.a.] : De Gruyter Mouton, 2013 Leibniz-Zentrum Allgemeine Sprachwissenschaft Show details 14 Two-dimensional Semantics : Clausal Adjuncts and Complements Scheffler, Tatjana [Verfasser]. - Berlin/Boston : De Gruyter, 2013 DNB Subject Category Language Show details 15 Two-dimensional Semantics. Clausal Adjuncts and Complements Scheffler, Tatjana. - Berlin usw. : de Gruyter, 2013 IDS Bibliografie zur deutschen Grammatik Show details 16 Two-dimensional semantics : clausal adjuncts and complements Scheffler, Tatjana. - Berlin [u.a.] : de Gruyter, 2013 BLLDB UB Frankfurt Linguistik Show details 17 Two-dimensional semantics : clausal adjuncts and complements Scheffler, Tatjana. - Berlin [u.a.] : de Gruyter, 2013 DNB Subject Category Language IDS Mannheim Show details 18 Evidentiality and German Attitude Verbs Scheffler, Tatjana In: University of Pennsylvania Working Papers in Linguistics (2009) BASE Show details 19 Relevance conditionals as utterance modifying adverbials Scheffler, Tatjana In: Empirical Issues in Syntax and Semantics. Papers from CSSP 2007 (2008) 7, 373-392 IDS Konnektoren im Deutschen Show details 20 Semantic operators in different dimensions Scheffler, Tatjana In: Dissertations available from ProQuest (2008) BASE Show details Page: 1 2

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