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41
Der Elfenbeinturm hat Fenster. Browserfenster : Wissenschaftskommunikation in sozialen Medien [Online resource]
In: Workshop Neue Formate in der Wissenschaftskommunikation - Herausforderung für die Informationsversorgung? (2021), 1-36
Linguistik-Repository
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42
Topics and subjects in German newspaper editorials: a corpus study
In: Deutsche Gesellschaft für Sprachwissenschaft / Jahrestagung <39., 2017, Saarbrücken>. Information structuring in discourse. - Leiden : Brill (2021), 86-111
BLLDB
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43
Commitment in Newspaper Coverage of Climate Change: A corpus-based analysis of print news from the USA and Australia ...
Fest, Jennifer. - : RWTH Aachen University, 2021
BASE
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44
PLT ...
Stepaniuk, Krzysztof. - : Mendeley, 2021
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45
PLT ...
Stepaniuk, Krzysztof. - : Mendeley, 2021
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46
PLT ...
Stepaniuk, Krzysztof. - : Mendeley, 2021
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47
Predicting emotional links between genre, plot, and reader response ...
Sharma, Srishti. - : Open Science Framework, 2021
BASE
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48
The multimodality and temporality of pain displays ...
Weatherall, Ann; Keevallik, Leelo; La, Jessica. - : Open Access Victoria University of Wellington | Te Herenga Waka, 2021
BASE
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49
The multimodality and temporality of pain displays ...
Weatherall, Ann; Keevallik, Leelo; La, Jessica. - : Open Access Victoria University of Wellington | Te Herenga Waka, 2021
BASE
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50
Repositioning Graphic Heritage booklet (online version) ...
Harland, Robert G.; Xu, Johnny. - : Loughborough University, 2021
BASE
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51
Repositioning Graphic Heritage booklet (online version) ...
Harland, Robert G.; Xu, Johnny. - : Loughborough University, 2021
BASE
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52
Mooc in Portuguese Language Teaching ; A Research Project Portugal-Brazil
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53
The Telegram Chronicles of Online Harm
In: Journal of Open Humanities Data; Vol 7 (2021); 8 ; 2059-481X (2021)
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54
A Telegram Corpus for Hate Speech, Offensive Language, and Online Harm
In: Journal of Open Humanities Data; Vol 7 (2021); 9 ; 2059-481X (2021)
Abstract: We provide a new text corpus from the social medium Telegram, which is rich in indirect forms of divisive speech. We scraped all messages from one channel of Donald Trump supporters, covering a large part of his presidency, from late 2016 until January 2021, including the January 6 Capitol riot. The discussion among the group members, over this long time period, includes the spread of disinformation, disparaging of out-group members, and other forms of harmful speech. To enable research into the role of harmful speech in political discourse, we added two types of annotations to the corpus: (i) automatic annotations of offensive language for all messages, and (ii) our own manual annotations of harmful language for a portion of the posts leading up to the January 2021 Capitol riot and its aftermath.
Keyword: computational linguistics; harmful speech; linguistics; offensive language; philosophy; social media
URL: https://doi.org/10.5334/johd.32
https://openhumanitiesdata.metajnl.com/jms/article/view/32
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55
Modelowanie percepcji transformacji politycznej. Podejście systemowe ...
Kasianiuk, Krzysztof. - : figshare, 2021
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56
Modelowanie percepcji transformacji politycznej. Podejście systemowe ...
Kasianiuk, Krzysztof. - : figshare, 2021
BASE
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57
100 Years of South African Kalahari Place Names, featuring: Nǀuu, Khoekhoe, Tswana, Afrikaans, English and Gaelic ...
Jones, Kerry; Slingsby, Thomas. - : University of Cape Town, 2021
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58
100 Years of South African Kalahari Place Names, featuring: Nǀuu, Khoekhoe, Tswana, Afrikaans, English and Gaelic ...
Jones, Kerry; Slingsby, Thomas. - : University of Cape Town, 2021
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59
LINGUISTIC EXPERTISE DEVELOPMENT TRAJECTORIES: FROM CREATIVE FREEDOM TO CENSORSHIP ...
Shoshin, Serguei. - : figshare, 2021
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60
Plant poster: Spinnekopblom (Bilingual Ju|'hoansi and English with QR codes) ...
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