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Key Indicators for Data Sharing - In Relation with Digital Services
Daffodil International University, Bangladesh.
Daffodil International University, Bangladesh.
Linnéuniversitetet, Fakulteten för teknik (FTK), Institutionen för datavetenskap och medieteknik (DM), Institutionen för medieteknik (ME). Telenor Grp, Oslo, Norway.
2016 (Engelska)Ingår i: DATA MINING AND BIG DATA, DMBD 2016, Springer, 2016, s. 353-363Konferensbidrag, Publicerat paper (Refereegranskat)
Abstract [en]

Rapid growth of data intensive digital services are creating potential risks of violating consumer centric data privacy. Protection of data privacy is becoming one of the key challenges for most of the big data business entities. Due to thank of big data, recommendation and personalization are becoming very popular in digital space. However it is hard to find a well-defined boundary which illustrates privacy threat to consumers' in relation with improving already opted-in communication services. In this paper, we initiated identifying key indicators for consumer configured privacy policy in relation with personalized services taking into consideration that "Privacy is a tool for balancing personalization". We survey user attitudes towards privacy and personalization and discovered key indicators for configuring privacy policy by analyzing survey data about privacy concern and data sharing attitude of the consumers. We found that consumers did not want to stop using social media based communication services due to privacy risks. Moreover, consumers have attitude of sharing their data, provided that appropriate personalization features are in place.

Ort, förlag, år, upplaga, sidor
Springer, 2016. s. 353-363
Serie
Lecture Notes in Computer Science, ISSN 0302-9743 ; 9714
Nyckelord [en]
Data sharing, Big data driven digital services
Nationell ämneskategori
Data- och informationsvetenskap
Forskningsämne
Data- och informationsvetenskap, Medieteknik
Identifikatorer
URN: urn:nbn:se:lnu:diva-58207DOI: 10.1007/978-3-319-40973-3_35ISI: 000386323800035Scopus ID: 2-s2.0-85033692261ISBN: 978-3-319-40973-3 (tryckt)ISBN: 978-3-319-40972-6 (tryckt)OAI: oai:DiVA.org:lnu-58207DiVA, id: diva2:1047734
Konferens
1st International Conference on Data Mining and Big Data (DMBD), JUN 25-30, 2016, Bali, INDONESIA
Tillgänglig från: 2016-11-18 Skapad: 2016-11-18 Senast uppdaterad: 2025-02-18Bibliografiskt granskad

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Rana, Juwel

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Totalt: 186 träffar
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