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Projects / Programmes source: ARIS

Computer-assisted multilingual news discourse analysis with contextual embeddings

Research activity

Code Science Field Subfield
6.05.02  Humanities  Linguistics  Theoretical and applied linguistics 

Code Science Field
6.02  Humanities  Languages and Literature 
Keywords
Natural language processing, critical discourse analysis, news analysis, word embeddings, deep learning, diachronic news analysis, comparative news analysis, metaphor
Evaluation (rules)
source: COBISS
Researchers (23)
no. Code Name and surname Research area Role Period No. of publicationsNo. of publications
1.  55352  Matic Kavaš    Technical associate  2021 
2.  52077  Jan Kostanjevec  Political science  Junior researcher  2020 - 2021  20 
3.  28291  PhD Petra Kralj Novak  Computer science and informatics  Researcher  2020 - 2023  130 
4.  08949  PhD Nada Lavrač  Computer science and informatics  Researcher  2020 - 2023  867 
5.  23354  Marijan Manoilov  Economics  Technical associate  2023  21 
6.  50070  PhD Matej Martinc  Linguistics  Researcher  2020 - 2022  84 
7.  50488  PhD Primož Medved  Sociology  Researcher  2021  45 
8.  53800  Andraž Pelicon  Linguistics  Researcher  2020 - 2023  47 
9.  38127  PhD Nina Perger  Sociology  Researcher  2020 - 2023  139 
10.  29539  PhD Vid Podpečan  Computer science and informatics  Researcher  2020 - 2023  101 
11.  31844  PhD Senja Pollak  Linguistics  Head  2020 - 2023  285 
12.  56524  Marko Pranjić  Linguistics  Researcher  2022 - 2023  24 
13.  53851  PhD Matthew RJ Purver  Linguistics  Researcher  2020 - 2023  104 
14.  22331  PhD Maruša Pušnik  Political science  Researcher  2020 - 2021  379 
15.  37679  Andraž Repar  Linguistics  Researcher  2022 - 2023  33 
16.  15295  PhD Marko Robnik Šikonja  Computer science and informatics  Researcher  2020 - 2023  417 
17.  52066  PhD Blaž Škrlj  Computer science and informatics  Researcher  2020 - 2023  126 
18.  50769  PhD Tadej Škvorc  Computer science and informatics  Researcher  2022 - 2023  16 
19.  37486  PhD Anita Valmarska  Systems and cybernetics  Researcher  2022 - 2023  35 
20.  27578  PhD Andreja Vezovnik  Culturology  Researcher  2020 - 2023  246 
21.  24440  PhD Ana Zwitter Vitez  Linguistics  Researcher  2020 - 2023  118 
22.  56007  Aleš Žagar  Computer science and informatics  Researcher  2021 - 2023  26 
23.  23582  PhD Martin Žnidaršič  Computer science and informatics  Researcher  2020 - 2023  165 
Organisations (3)
no. Code Research organisation City Registration number No. of publicationsNo. of publications
1.  0106  Jožef Stefan Institute  Ljubljana  5051606000  89,990 
2.  0582  University of Ljubljana, Faculty of Social Sciences  Ljubljana  1626957  40,131 
3.  1539  University of Ljubljana, Faculty of Computer and Information Science  Ljubljana  1627023  16,002 
Abstract
The ability to analyse and understand the news media has never been more important than now. Mass online content surrounds us, with misinformation and bias rife, leading to a wide distrust in broadcast media, and increasing reliance on unattested sources and social media. Qualitative discourse analysis techniques are designed precisely to uncover and understand the biases, viewpoints and framing techniques involved; but are limited by their reliance on complex and time-consuming manual analysis. At the same time, computational natural language processing techniques have been developed which can accurately process and categorise text in a range of ways; but are rarely applied to critical discourse analysis tasks or in less-resourced languages such as Slovene. This project will bridge the gap between these two, by adapting recent NLP tools to Slovene, developing new methods to help identify important discourse analysis phenomena, support multilingual news analysis, and work with discourse analysts to produce tools and visualisation methods that they can use to augment and improve their work.
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