Privacy Paradox in Social Media: A System Dynamics Analysis

Ektor Arzoglou; Yki Kortesniemi; Sampsa Ruutu; Tommi Elo

doi:10.1007/978-3-031-08751-6_47

Privacy Paradox in Social Media: A System Dynamics Analysis

Ektor Arzoglou^*, Yki Kortesniemi, Sampsa Ruutu, Tommi Elo

^*Tämän työn vastaava kirjoittaja

Tutkimustuotos: Artikkeli kirjassa/konferenssijulkaisussa › Conference contribution › Scientific › vertaisarvioitu

1 Sitaatiot (Scopus)

5 Lataukset (Pure)

Abstrakti

The term ‘privacy paradox’ refers to the apparent inconsistency between people’s concerns about their privacy and their actual privacy behaviour. Although several possible explanations for this phenomenon have been provided so far, these assume that (1) all people share the same privacy concerns and (2) a snapshot at a given point in time is enough to explain the phenomenon. To overcome these limitations, this article presents a system dynamics simulation model that considers the diversity of privacy concerns during the process of social media adoption and identifies the types of situations in which the privacy paradox emerges. The results show that (1) the least concerned minority can induce the more concerned majority to adopt social media and (2) even the most concerned minority can be hindered by the less concerned majority from discarding social media. Both (1) and (2) are types of situations that reflect the privacy paradox.

Alkuperäiskieli	Englanti
Otsikko	Computational Science - ICCS 2022, 22nd International Conference, Proceedings
Toimittajat	Derek Groen, Clélia de Mulatier, Valeria V. Krzhizhanovskaya, Peter M.A. Sloot, Maciej Paszynski, Jack J. Dongarra
Kustantaja	Springer
Sivut	651-666
Sivumäärä	16
ISBN (painettu)	9783031087509
DOI - pysyväislinkit	https://doi.org/10.1007/978-3-031-08751-6_47
Tila	Julkaistu - 2022
OKM-julkaisutyyppi	A4 Artikkeli konferenssijulkaisuussa
Tapahtuma	International Conference on Computational Science - London, Iso-Britannia Kesto: 21 kesäk. 2022 → 23 kesäk. 2022

Julkaisusarja

Nimi	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Vuosikerta	13350 LNCS
ISSN (painettu)	0302-9743
ISSN (elektroninen)	1611-3349

Conference

Conference	International Conference on Computational Science
Lyhennettä	ICCS
Maa/Alue	Iso-Britannia
Kaupunki	London
Ajanjakso	21/06/2022 → 23/06/2022

Pääsy asiakirjaan

10.1007/978-3-031-08751-6_47

978-3-031-08751-6_47Accepted author manuscript, 1,1 MB

OpenUrl-saatavuus

Koko teksti

Muut tiedostot ja linkit

Linkki julkaisuun Scopuksessa

Siteeraa tätä

Arzoglou, E., Kortesniemi, Y., Ruutu, S., & Elo, T. (2022). Privacy Paradox in Social Media: A System Dynamics Analysis. teoksessa D. Groen, C. de Mulatier, V. V. Krzhizhanovskaya, P. M. A. Sloot, M. Paszynski, & J. J. Dongarra (Toimittajat), Computational Science - ICCS 2022, 22nd International Conference, Proceedings (Sivut 651-666). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vuosikerta 13350 LNCS). Springer. https://doi.org/10.1007/978-3-031-08751-6_47

Arzoglou, Ektor ; Kortesniemi, Yki ; Ruutu, Sampsa et al. / Privacy Paradox in Social Media : A System Dynamics Analysis. Computational Science - ICCS 2022, 22nd International Conference, Proceedings. Toimittaja / Derek Groen ; Clélia de Mulatier ; Valeria V. Krzhizhanovskaya ; Peter M.A. Sloot ; Maciej Paszynski ; Jack J. Dongarra. Springer, 2022. Sivut 651-666 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

@inproceedings{1710d522fc9d4c6998df5b57ca83b544,

title = "Privacy Paradox in Social Media: A System Dynamics Analysis",

abstract = "The term {\textquoteleft}privacy paradox{\textquoteright} refers to the apparent inconsistency between people{\textquoteright}s concerns about their privacy and their actual privacy behaviour. Although several possible explanations for this phenomenon have been provided so far, these assume that (1) all people share the same privacy concerns and (2) a snapshot at a given point in time is enough to explain the phenomenon. To overcome these limitations, this article presents a system dynamics simulation model that considers the diversity of privacy concerns during the process of social media adoption and identifies the types of situations in which the privacy paradox emerges. The results show that (1) the least concerned minority can induce the more concerned majority to adopt social media and (2) even the most concerned minority can be hindered by the less concerned majority from discarding social media. Both (1) and (2) are types of situations that reflect the privacy paradox.",

keywords = "Digital platforms, Privacy, Privacy paradox, Social media, System dynamics",

author = "Ektor Arzoglou and Yki Kortesniemi and Sampsa Ruutu and Tommi Elo",

note = "Publisher Copyright: {\textcopyright} 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.; International Conference on Computational Science, ICCS ; Conference date: 21-06-2022 Through 23-06-2022",

year = "2022",

doi = "10.1007/978-3-031-08751-6_47",

language = "English",

isbn = "9783031087509",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

publisher = "Springer",

pages = "651--666",

editor = "Derek Groen and {de Mulatier}, Cl{\'e}lia and Krzhizhanovskaya, {Valeria V.} and Sloot, {Peter M.A.} and Maciej Paszynski and Dongarra, {Jack J.}",

booktitle = "Computational Science - ICCS 2022, 22nd International Conference, Proceedings",

address = "Germany",

}

Arzoglou, E , Kortesniemi, Y, Ruutu, S & Elo, T 2022, Privacy Paradox in Social Media: A System Dynamics Analysis. julkaisussa D Groen, C de Mulatier, VV Krzhizhanovskaya, PMA Sloot, M Paszynski & JJ Dongarra (toim), Computational Science - ICCS 2022, 22nd International Conference, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vuosikerta 13350 LNCS, Springer, Sivut 651-666, International Conference on Computational Science, London, Iso-Britannia, 21/06/2022. https://doi.org/10.1007/978-3-031-08751-6_47

Privacy Paradox in Social Media: A System Dynamics Analysis. / Arzoglou, Ektor ; Kortesniemi, Yki; Ruutu, Sampsa et al.
Computational Science - ICCS 2022, 22nd International Conference, Proceedings. toim. / Derek Groen; Clélia de Mulatier; Valeria V. Krzhizhanovskaya; Peter M.A. Sloot; Maciej Paszynski; Jack J. Dongarra. Springer, 2022. s. 651-666 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vuosikerta 13350 LNCS).

Tutkimustuotos: Artikkeli kirjassa/konferenssijulkaisussa › Conference contribution › Scientific › vertaisarvioitu

TY - GEN

T1 - Privacy Paradox in Social Media

T2 - International Conference on Computational Science

AU - Arzoglou, Ektor

AU - Kortesniemi, Yki

AU - Ruutu, Sampsa

AU - Elo, Tommi

PY - 2022

Y1 - 2022

N2 - The term ‘privacy paradox’ refers to the apparent inconsistency between people’s concerns about their privacy and their actual privacy behaviour. Although several possible explanations for this phenomenon have been provided so far, these assume that (1) all people share the same privacy concerns and (2) a snapshot at a given point in time is enough to explain the phenomenon. To overcome these limitations, this article presents a system dynamics simulation model that considers the diversity of privacy concerns during the process of social media adoption and identifies the types of situations in which the privacy paradox emerges. The results show that (1) the least concerned minority can induce the more concerned majority to adopt social media and (2) even the most concerned minority can be hindered by the less concerned majority from discarding social media. Both (1) and (2) are types of situations that reflect the privacy paradox.

AB - The term ‘privacy paradox’ refers to the apparent inconsistency between people’s concerns about their privacy and their actual privacy behaviour. Although several possible explanations for this phenomenon have been provided so far, these assume that (1) all people share the same privacy concerns and (2) a snapshot at a given point in time is enough to explain the phenomenon. To overcome these limitations, this article presents a system dynamics simulation model that considers the diversity of privacy concerns during the process of social media adoption and identifies the types of situations in which the privacy paradox emerges. The results show that (1) the least concerned minority can induce the more concerned majority to adopt social media and (2) even the most concerned minority can be hindered by the less concerned majority from discarding social media. Both (1) and (2) are types of situations that reflect the privacy paradox.

KW - Digital platforms

KW - Privacy

KW - Privacy paradox

KW - Social media

KW - System dynamics

UR - http://www.scopus.com/inward/record.url?scp=85134337798&partnerID=8YFLogxK

U2 - 10.1007/978-3-031-08751-6_47

DO - 10.1007/978-3-031-08751-6_47

M3 - Conference contribution

AN - SCOPUS:85134337798

SN - 9783031087509

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 651

EP - 666

BT - Computational Science - ICCS 2022, 22nd International Conference, Proceedings

A2 - Groen, Derek

A2 - de Mulatier, Clélia

A2 - Krzhizhanovskaya, Valeria V.

A2 - Sloot, Peter M.A.

A2 - Paszynski, Maciej

A2 - Dongarra, Jack J.

PB - Springer

Y2 - 21 June 2022 through 23 June 2022

ER -

Arzoglou E , Kortesniemi Y, Ruutu S, Elo T. Privacy Paradox in Social Media: A System Dynamics Analysis. julkaisussa Groen D, de Mulatier C, Krzhizhanovskaya VV, Sloot PMA, Paszynski M, Dongarra JJ, toimittajat, Computational Science - ICCS 2022, 22nd International Conference, Proceedings. Springer. 2022. s. 651-666. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-031-08751-6_47