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Title:Analiza družabnega omrežja Twitter v času pandemije COVID-19 : magistrska naloga
Authors:ID Gorenc, Tomaž (Author)
ID Levnajić, Zoran (Mentor) More about this mentor... New window
Files:.pdf MAG_2021_Gorenc_Tomaz.pdf (5,02 MB)
MD5: 39BB1BD70445591975E7FB6E50DF0279
 
Language:Slovenian
Work type:Master's thesis/paper
Typology:2.09 - Master's Thesis
Organization:FIŠ - Faculty of Information Studies in Novo mesto
Abstract:Pandemija covid-19 je spremenila svet. Za zajezitev okužb smo večino časa preživeli po svojih domovih, opravljali delo od doma, se šolali na daljavo, veliko več smo se rekreirali in hodili samo po nujnih opravkih. Ker smo bili več časa doma, smo imeli več prostega časa. Posledično smo preživeli več časa na družabnih omrežjih, kjer so se začele pojavljati poleg preverjenih informacij tudi nepreverjene informacije, govorice in zarote. Tako se je poleg obstoječe pandemije pojavila še t. i. »infodemija« in je zajezitev le-te postalo skoraj enako pomembno kot zajezitev same pandemije. V sklopu magistrske naloge smo analizirali družabno omrežje Twitter, tako da smo zbrali in analizirali slovenske tvite, povezane s pandemijo covid-19 z uporabo programskega jezika Python. Proučevali smo vpliv pandemije na Twitter in kaj Slovence najbolj skrbi v povezavi s pandemijo.
Keywords:COVID-19, pandemija, Twitter, družabna omrežja, infodemija
Place of publishing:Novo mesto
Place of performance:Novo mesto
Publisher:[T. Gorenc]
Year of publishing:2021
Year of performance:2021
Number of pages:XV, 89 str.
PID:20.500.12556/ReVIS-8742 New window
COBISS.SI-ID:71009283 New window
UDC:316.47:004.738.5:616.98-036.21:578.834(043.2)
Note:Na ov.: Magistrska naloga : študijskega programa druge stopnje;
Publication date in ReVIS:17.03.2022
Views:5931
Downloads:85
Metadata:XML DC-XML DC-RDF
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GORENC, Tomaž, 2021, Analiza družabnega omrežja Twitter v času pandemije COVID-19 : magistrska naloga [online]. Master’s thesis. Novo mesto : T. Gorenc. [Accessed 13 April 2025]. Retrieved from: https://revis.openscience.si/IzpisGradiva.php?lang=eng&id=8742
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Secondary language

Language:English
Abstract:The COVID-19 pandemic has changed the world. To contain the infections, we spent most of our time in our homes, working from home, studying online, spending more time exercising and leaving home only for essential activities. Since we were at home more time, we consequently had more free time. As a result, we spent more time on social media, where in addition to verified information, unverified information, rumors and conspiracy theories began to appear. Thus, in addition to the existing pandemic, we had to deal with the so-called »Infodemic« and its containment has become almost as important as the containment of the pandemic itself. As part of the master's thesis, we analyzed the social network Twitter by collecting and analyzing Slovenian tweets related to COVID-19 using the Python programming language. We studied how the pandemic has been affecting Twitter and what aspects of pandemic Slovenians are mostly worried about.
Keywords:COVID-19, pandemic, Twitter, social networks, infodemic


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