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Title:Analiza zasebnostnih politik v mobilnih aplikacijah : diplomsko delo
Authors:ID Jeromel, Aleš (Author)
ID Brumen, Boštjan (Mentor) More about this mentor... New window
Files:.pdf VS_Jeromel_Ales_2020.pdf (1,33 MB)
MD5: 15C194BB46D360FC9724F652035D219D
PID: 20.500.12556/dkum/dc85fa6c-dbac-4d31-b2ed-c833c551c70b
 
Language:Slovenian
Work type:Bachelor thesis/paper
Typology:2.11 - Undergraduate Thesis
Organization:FERI - Faculty of Electrical Engineering and Computer Science
Abstract:V diplomskem delu smo spoznali, kaj so politike zasebnosti, zakaj so pomembne, kaj je GDPR, katere metode berljivosti poznamo. Najpomembnejši del je predstavljalo zbiranje mobilnih aplikacij in nato zapis podatkov iz politik zasebnosti, izračuni po Flesh Kincaid Grade Level, Reading Ease, Automated Readability Index, SMOG, Gunning Fog, Dale Chall in seveda rezultati ter merjenje časov. Ugotovili smo, da so politike zasebnosti dokaj kompleksne, saj po večini zahtevajo nivo branja študentov univerzitetnega študija. Pokazatelj tega so štiri metode berljivosti od šestih. Ena od metod je pokazala, da politike zahtevajo izkušeni nivo branja, druga pa, da je potreben nivo podiplomskega študija.
Keywords:politika zasebnosti, mobilne aplikacije, GDPR, berljivostna ocena, metode berljivosti
Place of publishing:Maribor
Place of performance:Maribor
Publisher:[A. Jeromel]
Year of publishing:2020
Number of pages:VI, 70 f.
PID:20.500.12556/DKUM-77627 New window
UDC:659.2:004(043.2)
COBISS.SI-ID:37462275 New window
NUK URN:URN:SI:UM:DK:RNHDYKM6
Publication date in DKUM:03.11.2020
Views:1621
Downloads:308
Metadata:XML DC-XML DC-RDF
Categories:KTFMB - FERI
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Licences

License:CC BY-NC-ND 4.0, Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International
Link:http://creativecommons.org/licenses/by-nc-nd/4.0/
Description:The most restrictive Creative Commons license. This only allows people to download and share the work for no commercial gain and for no other purposes.
Licensing start date:08.09.2020

Secondary language

Language:English
Title:Analysis of privacy policies in mobile applications
Abstract:In this thesis we found out what are privacy policies, why are they so important. We also get to know what is GDPR and it's meaning and which readability methods do we know. The most important part was collecting mobile applications and after that, collecting data from privacy policies and of course, calculations from Flesch Kincaid Grade Level, Reading Ease, Automated Readability Index, SMOG, Gunning Fog, Dale Chall. We saw their results and time calculations of privacy policies. We find out that privacy policies are pretty complex, because they mostly require reading level of a college student. Four methods out of six showed this to us. One of the methods showed that policies requires skilled reading level. The second one's results told us that we require a reading level of a college graduate.
Keywords:privacy policy, mobile apps, GDPR, readability score, readability methods


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