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master's thesis
Otkrivanje lažnih vijesti u diskursu o ekologiji i klimatskim promjenama
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2024. urn:nbn:hr:168:795384
Hanić, Sanja
University of Zagreb
Faculty of Electrical Engineering and Computing

Institutional repository: FER Repository

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Hanić, S. (2024). Otkrivanje lažnih vijesti u diskursu o ekologiji i klimatskim promjenama (Master's thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:795384

Hanić, Sanja. "Otkrivanje lažnih vijesti u diskursu o ekologiji i klimatskim promjenama." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2024. https://urn.nsk.hr/urn:nbn:hr:168:795384

Hanić, Sanja. "Otkrivanje lažnih vijesti u diskursu o ekologiji i klimatskim promjenama." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2024. https://urn.nsk.hr/urn:nbn:hr:168:795384

Hanić, S. (2024). 'Otkrivanje lažnih vijesti u diskursu o ekologiji i klimatskim promjenama', Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 25 December 2024, https://urn.nsk.hr/urn:nbn:hr:168:795384

Hanić S. Otkrivanje lažnih vijesti u diskursu o ekologiji i klimatskim promjenama [Master's thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2024 [cited 2024 December 25] Available at: https://urn.nsk.hr/urn:nbn:hr:168:795384

S. Hanić, "Otkrivanje lažnih vijesti u diskursu o ekologiji i klimatskim promjenama", Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2024. Available at: https://urn.nsk.hr/urn:nbn:hr:168:795384

Metadata
TitleOtkrivanje lažnih vijesti u diskursu o ekologiji i klimatskim promjenama
Title (english)Detecting Fake News in Ecology and Climate Change Discourse
AuthorSanja Hanić
MentorMarina Bagić Babac (mentor)
Committee memberMarina Bagić Babac (predsjednik povjerenstva)
Committee memberVedran Mornar (član povjerenstva)
Committee memberGordan Gledec (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2024-09-10, Croatia
Abstract
Klimatske promjene su jedan od glavnih globalnih problema koji predstavlja mnoge sociološke, ekonomske i ekološke probleme, a širenje dezinformacija dodatno otežava ovaj i slične probleme u društvu. Ovaj rad istražuje modele strojnog i dubokog učenja te adekvatne reprezentacije teksta koje mogu riješiti problem automatskog prepoznavanja lažnih vijesti na temu klimatskih promjena te opisuje razlike u novinarskim člancima iz pouzdanih i nepouzdanih izvora. Analiziran je skup podataka s istinitim i lažnim člancima na temu klimatskih promjena na engleskom jeziku.
Abstract (english)
Climate change is one of the driving global issues that can cause many social, economical and ecological issues, while the spread of misinformation is making climate change and similar problems even more complex. This thesis explores machine learning and deep learning models as well as adequate text representation methods that can be used to solve the problem of automatic fake news detection on the topic of climate change and it describes differences in news articles from reliable and unreliable sources. An analysis of an English fake news dataset on the topic of climate change in made and described in the thesis.
Keywords
Keywords (english)
Languageenglish
URN:NBNurn:nbn:hr:168:795384
Study programmeTitle: Computing
Study programme type: university
Study level: graduate
Academic / professional title: magistar/magistra inženjer/inženjerka računarstva (magistar/magistra inženjer/inženjerka računarstva)
Type of resourceText
File originBorn digital
Access conditionsClosed access
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Created on2024-11-07 05:37:56