Methods for detecting echo chambers in social media networks
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F23%3ARN337L6I" target="_blank" >RIV/00216208:11320/23:RN337L6I - isvavai.cz</a>
Result on the web
<a href="https://odr.chalmers.se/items/dcd8ba19-895b-4f0e-bfc7-3f431eb82c67" target="_blank" >https://odr.chalmers.se/items/dcd8ba19-895b-4f0e-bfc7-3f431eb82c67</a>
DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Methods for detecting echo chambers in social media networks
Original language description
"This thesis presents an approach to using Natural Language Processing to detect echo chambers in social media networks and to find identifying terms for those echo chambers. A dataset consisting of posts and user information from the micro-blogging service Twitter related to Sweden’s application to join the North Atlantic Treaty Organization was collected for the year leading up to the Swedish national election of 2022."
Czech name
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Czech description
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Classification
Type
O - Miscellaneous
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
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Continuities
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Others
Publication year
2023
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů