In search of hate speech in Lithuanian public discourse: A corpus-assisted analysis of online comments
The present paper aims to report on the preliminary findings from the initial stages of ongoing research on hate speech in Lithuanian online comments. Comments are marked strongly by such phenomena as flaming and trolling; therefore, in this genre we can expect a high degree of hostility, obscenity,...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Ruzaite, Jurate [verfasserIn] |
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| Format: |
E-Artikel |
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| Erschienen: |
De Gruyter ; 2018 |
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| Schlagwörter: |
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| Umfang: |
24 |
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| Reproduktion: |
Walter de Gruyter Online Zeitschriften |
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| Übergeordnetes Werk: |
Enthalten in: Lodz papers in pragmatics - Warsaw : Versita, 2007, 14(2018), 1 vom: 21. Sept., Seite 93-116 |
| Übergeordnetes Werk: |
volume:14 ; year:2018 ; number:1 ; day:21 ; month:09 ; pages:93-116 ; extent:24 |
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| DOI / URN: |
10.1515/lpp-2018-0005 |
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NLEJ248117319 |
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| 520 | |a The present paper aims to report on the preliminary findings from the initial stages of ongoing research on hate speech in Lithuanian online comments. Comments are marked strongly by such phenomena as flaming and trolling; therefore, in this genre we can expect a high degree of hostility, obscenity, high incidence of insults and aggressive lexis, which can inflict harm to individuals or organizations. The goal of the current research is thus to make an attempt to identify some features of verbal aggression in Lithuanian by applying the principles and instruments of corpus linguistics, which proved to be a useful approach when dealing with such issues as trolling. It is expected that further analysis of those features will help to identify and define formal linguistic criteria that could facilitate identification of hate speech in public discourse. The data has been obtained from the Lithuanian corpus of user-generated comments collected from one major Lithuanian portal, www.delfi.lt. The corpus consists of all the comments posted in the year 2014 and in total includes 17,909 comments, which make up 1,160,109 words. For the initial data analysis, linguistic aspects, such as wordlists, collocations, and formulaic language, were analysed by using the AntConc software. The interpretations of the results are still very tentative, but what the initial findings show is that overt aggression does not feature among the most frequent and most salient features of comments. Aggression is, in our data, indirectly expressed through creative language use, which can mainly be studied through qualitative analysis. | ||
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10.1515/lpp-2018-0005 doi articles2015-2020.pp (DE-627)NLEJ248117319 DE-627 ger DE-627 rakwb Ruzaite, Jurate verfasserin aut In search of hate speech in Lithuanian public discourse: A corpus-assisted analysis of online comments De Gruyter 2018 24 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier The present paper aims to report on the preliminary findings from the initial stages of ongoing research on hate speech in Lithuanian online comments. Comments are marked strongly by such phenomena as flaming and trolling; therefore, in this genre we can expect a high degree of hostility, obscenity, high incidence of insults and aggressive lexis, which can inflict harm to individuals or organizations. The goal of the current research is thus to make an attempt to identify some features of verbal aggression in Lithuanian by applying the principles and instruments of corpus linguistics, which proved to be a useful approach when dealing with such issues as trolling. It is expected that further analysis of those features will help to identify and define formal linguistic criteria that could facilitate identification of hate speech in public discourse. The data has been obtained from the Lithuanian corpus of user-generated comments collected from one major Lithuanian portal, www.delfi.lt. The corpus consists of all the comments posted in the year 2014 and in total includes 17,909 comments, which make up 1,160,109 words. For the initial data analysis, linguistic aspects, such as wordlists, collocations, and formulaic language, were analysed by using the AntConc software. The interpretations of the results are still very tentative, but what the initial findings show is that overt aggression does not feature among the most frequent and most salient features of comments. Aggression is, in our data, indirectly expressed through creative language use, which can mainly be studied through qualitative analysis. Walter de Gruyter Online Zeitschriften indirect hate speech online comments corpus linguistics offensive lexis Enthalten in Lodz papers in pragmatics Warsaw : Versita, 2007 14(2018), 1 vom: 21. Sept., Seite 93-116 (DE-627)NLEJ248236431 (DE-600)2406081-1 1898-4436 nnns volume:14 year:2018 number:1 day:21 month:09 pages:93-116 extent:24 https://doi.org/10.1515/lpp-2018-0005 Deutschlandweit zugänglich GBV_USEFLAG_U ZDB-1-DGR GBV_NL_ARTICLE AR 14 2018 1 21 09 93-116 24 |
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10.1515/lpp-2018-0005 doi articles2015-2020.pp (DE-627)NLEJ248117319 DE-627 ger DE-627 rakwb Ruzaite, Jurate verfasserin aut In search of hate speech in Lithuanian public discourse: A corpus-assisted analysis of online comments De Gruyter 2018 24 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier The present paper aims to report on the preliminary findings from the initial stages of ongoing research on hate speech in Lithuanian online comments. Comments are marked strongly by such phenomena as flaming and trolling; therefore, in this genre we can expect a high degree of hostility, obscenity, high incidence of insults and aggressive lexis, which can inflict harm to individuals or organizations. The goal of the current research is thus to make an attempt to identify some features of verbal aggression in Lithuanian by applying the principles and instruments of corpus linguistics, which proved to be a useful approach when dealing with such issues as trolling. It is expected that further analysis of those features will help to identify and define formal linguistic criteria that could facilitate identification of hate speech in public discourse. The data has been obtained from the Lithuanian corpus of user-generated comments collected from one major Lithuanian portal, www.delfi.lt. The corpus consists of all the comments posted in the year 2014 and in total includes 17,909 comments, which make up 1,160,109 words. For the initial data analysis, linguistic aspects, such as wordlists, collocations, and formulaic language, were analysed by using the AntConc software. The interpretations of the results are still very tentative, but what the initial findings show is that overt aggression does not feature among the most frequent and most salient features of comments. Aggression is, in our data, indirectly expressed through creative language use, which can mainly be studied through qualitative analysis. Walter de Gruyter Online Zeitschriften indirect hate speech online comments corpus linguistics offensive lexis Enthalten in Lodz papers in pragmatics Warsaw : Versita, 2007 14(2018), 1 vom: 21. Sept., Seite 93-116 (DE-627)NLEJ248236431 (DE-600)2406081-1 1898-4436 nnns volume:14 year:2018 number:1 day:21 month:09 pages:93-116 extent:24 https://doi.org/10.1515/lpp-2018-0005 Deutschlandweit zugänglich GBV_USEFLAG_U ZDB-1-DGR GBV_NL_ARTICLE AR 14 2018 1 21 09 93-116 24 |
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10.1515/lpp-2018-0005 doi articles2015-2020.pp (DE-627)NLEJ248117319 DE-627 ger DE-627 rakwb Ruzaite, Jurate verfasserin aut In search of hate speech in Lithuanian public discourse: A corpus-assisted analysis of online comments De Gruyter 2018 24 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier The present paper aims to report on the preliminary findings from the initial stages of ongoing research on hate speech in Lithuanian online comments. Comments are marked strongly by such phenomena as flaming and trolling; therefore, in this genre we can expect a high degree of hostility, obscenity, high incidence of insults and aggressive lexis, which can inflict harm to individuals or organizations. The goal of the current research is thus to make an attempt to identify some features of verbal aggression in Lithuanian by applying the principles and instruments of corpus linguistics, which proved to be a useful approach when dealing with such issues as trolling. It is expected that further analysis of those features will help to identify and define formal linguistic criteria that could facilitate identification of hate speech in public discourse. The data has been obtained from the Lithuanian corpus of user-generated comments collected from one major Lithuanian portal, www.delfi.lt. The corpus consists of all the comments posted in the year 2014 and in total includes 17,909 comments, which make up 1,160,109 words. For the initial data analysis, linguistic aspects, such as wordlists, collocations, and formulaic language, were analysed by using the AntConc software. The interpretations of the results are still very tentative, but what the initial findings show is that overt aggression does not feature among the most frequent and most salient features of comments. Aggression is, in our data, indirectly expressed through creative language use, which can mainly be studied through qualitative analysis. Walter de Gruyter Online Zeitschriften indirect hate speech online comments corpus linguistics offensive lexis Enthalten in Lodz papers in pragmatics Warsaw : Versita, 2007 14(2018), 1 vom: 21. Sept., Seite 93-116 (DE-627)NLEJ248236431 (DE-600)2406081-1 1898-4436 nnns volume:14 year:2018 number:1 day:21 month:09 pages:93-116 extent:24 https://doi.org/10.1515/lpp-2018-0005 Deutschlandweit zugänglich GBV_USEFLAG_U ZDB-1-DGR GBV_NL_ARTICLE AR 14 2018 1 21 09 93-116 24 |
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10.1515/lpp-2018-0005 doi articles2015-2020.pp (DE-627)NLEJ248117319 DE-627 ger DE-627 rakwb Ruzaite, Jurate verfasserin aut In search of hate speech in Lithuanian public discourse: A corpus-assisted analysis of online comments De Gruyter 2018 24 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier The present paper aims to report on the preliminary findings from the initial stages of ongoing research on hate speech in Lithuanian online comments. Comments are marked strongly by such phenomena as flaming and trolling; therefore, in this genre we can expect a high degree of hostility, obscenity, high incidence of insults and aggressive lexis, which can inflict harm to individuals or organizations. The goal of the current research is thus to make an attempt to identify some features of verbal aggression in Lithuanian by applying the principles and instruments of corpus linguistics, which proved to be a useful approach when dealing with such issues as trolling. It is expected that further analysis of those features will help to identify and define formal linguistic criteria that could facilitate identification of hate speech in public discourse. The data has been obtained from the Lithuanian corpus of user-generated comments collected from one major Lithuanian portal, www.delfi.lt. The corpus consists of all the comments posted in the year 2014 and in total includes 17,909 comments, which make up 1,160,109 words. For the initial data analysis, linguistic aspects, such as wordlists, collocations, and formulaic language, were analysed by using the AntConc software. The interpretations of the results are still very tentative, but what the initial findings show is that overt aggression does not feature among the most frequent and most salient features of comments. Aggression is, in our data, indirectly expressed through creative language use, which can mainly be studied through qualitative analysis. Walter de Gruyter Online Zeitschriften indirect hate speech online comments corpus linguistics offensive lexis Enthalten in Lodz papers in pragmatics Warsaw : Versita, 2007 14(2018), 1 vom: 21. Sept., Seite 93-116 (DE-627)NLEJ248236431 (DE-600)2406081-1 1898-4436 nnns volume:14 year:2018 number:1 day:21 month:09 pages:93-116 extent:24 https://doi.org/10.1515/lpp-2018-0005 Deutschlandweit zugänglich GBV_USEFLAG_U ZDB-1-DGR GBV_NL_ARTICLE AR 14 2018 1 21 09 93-116 24 |
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10.1515/lpp-2018-0005 doi articles2015-2020.pp (DE-627)NLEJ248117319 DE-627 ger DE-627 rakwb Ruzaite, Jurate verfasserin aut In search of hate speech in Lithuanian public discourse: A corpus-assisted analysis of online comments De Gruyter 2018 24 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier The present paper aims to report on the preliminary findings from the initial stages of ongoing research on hate speech in Lithuanian online comments. Comments are marked strongly by such phenomena as flaming and trolling; therefore, in this genre we can expect a high degree of hostility, obscenity, high incidence of insults and aggressive lexis, which can inflict harm to individuals or organizations. The goal of the current research is thus to make an attempt to identify some features of verbal aggression in Lithuanian by applying the principles and instruments of corpus linguistics, which proved to be a useful approach when dealing with such issues as trolling. It is expected that further analysis of those features will help to identify and define formal linguistic criteria that could facilitate identification of hate speech in public discourse. The data has been obtained from the Lithuanian corpus of user-generated comments collected from one major Lithuanian portal, www.delfi.lt. The corpus consists of all the comments posted in the year 2014 and in total includes 17,909 comments, which make up 1,160,109 words. For the initial data analysis, linguistic aspects, such as wordlists, collocations, and formulaic language, were analysed by using the AntConc software. The interpretations of the results are still very tentative, but what the initial findings show is that overt aggression does not feature among the most frequent and most salient features of comments. Aggression is, in our data, indirectly expressed through creative language use, which can mainly be studied through qualitative analysis. Walter de Gruyter Online Zeitschriften indirect hate speech online comments corpus linguistics offensive lexis Enthalten in Lodz papers in pragmatics Warsaw : Versita, 2007 14(2018), 1 vom: 21. Sept., Seite 93-116 (DE-627)NLEJ248236431 (DE-600)2406081-1 1898-4436 nnns volume:14 year:2018 number:1 day:21 month:09 pages:93-116 extent:24 https://doi.org/10.1515/lpp-2018-0005 Deutschlandweit zugänglich GBV_USEFLAG_U ZDB-1-DGR GBV_NL_ARTICLE AR 14 2018 1 21 09 93-116 24 |
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in search of hate speech in lithuanian public discourse: a corpus-assisted analysis of online comments |
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In search of hate speech in Lithuanian public discourse: A corpus-assisted analysis of online comments |
| abstract |
The present paper aims to report on the preliminary findings from the initial stages of ongoing research on hate speech in Lithuanian online comments. Comments are marked strongly by such phenomena as flaming and trolling; therefore, in this genre we can expect a high degree of hostility, obscenity, high incidence of insults and aggressive lexis, which can inflict harm to individuals or organizations. The goal of the current research is thus to make an attempt to identify some features of verbal aggression in Lithuanian by applying the principles and instruments of corpus linguistics, which proved to be a useful approach when dealing with such issues as trolling. It is expected that further analysis of those features will help to identify and define formal linguistic criteria that could facilitate identification of hate speech in public discourse. The data has been obtained from the Lithuanian corpus of user-generated comments collected from one major Lithuanian portal, www.delfi.lt. The corpus consists of all the comments posted in the year 2014 and in total includes 17,909 comments, which make up 1,160,109 words. For the initial data analysis, linguistic aspects, such as wordlists, collocations, and formulaic language, were analysed by using the AntConc software. The interpretations of the results are still very tentative, but what the initial findings show is that overt aggression does not feature among the most frequent and most salient features of comments. Aggression is, in our data, indirectly expressed through creative language use, which can mainly be studied through qualitative analysis. |
| abstractGer |
The present paper aims to report on the preliminary findings from the initial stages of ongoing research on hate speech in Lithuanian online comments. Comments are marked strongly by such phenomena as flaming and trolling; therefore, in this genre we can expect a high degree of hostility, obscenity, high incidence of insults and aggressive lexis, which can inflict harm to individuals or organizations. The goal of the current research is thus to make an attempt to identify some features of verbal aggression in Lithuanian by applying the principles and instruments of corpus linguistics, which proved to be a useful approach when dealing with such issues as trolling. It is expected that further analysis of those features will help to identify and define formal linguistic criteria that could facilitate identification of hate speech in public discourse. The data has been obtained from the Lithuanian corpus of user-generated comments collected from one major Lithuanian portal, www.delfi.lt. The corpus consists of all the comments posted in the year 2014 and in total includes 17,909 comments, which make up 1,160,109 words. For the initial data analysis, linguistic aspects, such as wordlists, collocations, and formulaic language, were analysed by using the AntConc software. The interpretations of the results are still very tentative, but what the initial findings show is that overt aggression does not feature among the most frequent and most salient features of comments. Aggression is, in our data, indirectly expressed through creative language use, which can mainly be studied through qualitative analysis. |
| abstract_unstemmed |
The present paper aims to report on the preliminary findings from the initial stages of ongoing research on hate speech in Lithuanian online comments. Comments are marked strongly by such phenomena as flaming and trolling; therefore, in this genre we can expect a high degree of hostility, obscenity, high incidence of insults and aggressive lexis, which can inflict harm to individuals or organizations. The goal of the current research is thus to make an attempt to identify some features of verbal aggression in Lithuanian by applying the principles and instruments of corpus linguistics, which proved to be a useful approach when dealing with such issues as trolling. It is expected that further analysis of those features will help to identify and define formal linguistic criteria that could facilitate identification of hate speech in public discourse. The data has been obtained from the Lithuanian corpus of user-generated comments collected from one major Lithuanian portal, www.delfi.lt. The corpus consists of all the comments posted in the year 2014 and in total includes 17,909 comments, which make up 1,160,109 words. For the initial data analysis, linguistic aspects, such as wordlists, collocations, and formulaic language, were analysed by using the AntConc software. The interpretations of the results are still very tentative, but what the initial findings show is that overt aggression does not feature among the most frequent and most salient features of comments. Aggression is, in our data, indirectly expressed through creative language use, which can mainly be studied through qualitative analysis. |
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