Privacy and pleasure: A paradox of the hedonic use of computer-mediated social networks

Church, E. Mitchell; Thambusamy, Ravi; Nemati, Hamid R.

doi:10.1016/j.chb.2017.08.040

Cited by 19 publications

(19 citation statements)

References 46 publications

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“…IS researchers have studied different aspects of OSN extensively due to the fact that they provide a significant opportunity to observe different aspects of human behaviour. Topics of study include information-sharing continuance (Shang, Wu, and Li 2017), risk-taking behaviour (Miller and Melton 2015), civic engagement (Warren, Sulaiman, and Jaafar 2015), subjective well-being (Chang and Hsu 2016), user anxiety (Tsai, Shen, and Chiang 2015), continued use intentions (Chen 2014;Lin 2016), habitual use (Giannakos et al 2013), privacy management (Debatin et al 2009;Heirman et al 2016;Alashoor, Han, and Joseph 2017;Church, Thambusamy, and Nemati 2017), and network formation (Oh, Agrawal, and Rao 2013;Goode et al 2014). Another key issue area, which has been well researched, is information sharing on OSN.…”

Section: Information Sharing On Online Social Networkmentioning

confidence: 99%

User misrepresentation in online social networks: how competition and altruism impact online disclosure behaviours

Church

Thambusamy

Nemati

2019

Behaviour & Information Technology

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Their sheer size and scale give social networks significant potential for shaping popular opinions. While the spread of information and influence within social networks has been popular area of research for some time, more recently a research trend has appeared in which the researcher seeks to understand how users can aggressively influence community opinions, often using misrepresented or false information. Such misrepresentations by users are deeply troubling for any social network, where revenue-generation and their reputation depend on accurate and reliable user generated information. This study investigates the individual motivations that both promote and inhibit intentions towards personal information misrepresentation. These motivations are hypothesised to result from the dichotomy of competitive and altruistic attitudes existing with social network communities. Results of a survey analysis involving 502 users of Facebook offer insights useful for understanding social network information sharing practices. Marketing strategies, in particular, should benefit from the careful evaluation of the factors that lead to honesty (or dishonesty) among OSN users.

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Section: Information Sharing On Online Social Networkmentioning

confidence: 99%

User misrepresentation in online social networks: how competition and altruism impact online disclosure behaviours

Church

Thambusamy

Nemati

2019

Behaviour & Information Technology

Self Cite

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“…Focusing on the benefits of disclosing information, previous studies have used several theories to measure benefits such as social capital theory [144,161,62], social support [54,118], motivation-based theory [151,150], and other less popular theories such as [284]. However, these theories have not been sufficiently supported by the community of behavioral science studies, except for social capital theory.…”

Section: Information Disclosure and Benefitmentioning

confidence: 99%

“…Online so-6.5. ANALYSIS AND RESULTS cial well-being was measured by items adapted from [62] and [80]. In addition, we took the dimension of depth (related to sensitivity of information) in information disclosure measured by items adapted from [279] as a reference in order to customize them for different types of receivers.…”

Section: Measurementmentioning

confidence: 99%

“…CN3 Privacy settings allow me to have full control over the personal information I provide on Facebook. Bonding Social Capital [280,80,62] BO1 There are people on Facebook I trust to help solve my problems. BO2 There are people on Facebook I can turn to for advice about making very important decisions.…”

Section: Constructmentioning

confidence: 99%

“…(reversed) BO8 There is no one on Facebook I know well enough to get them to do anything important. (reversed) Bridging Social Capital [280,80,62]…”

Section: Constructmentioning

confidence: 99%

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Measures of Privacy Protection on Social Environments

Bordera¹

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La dedicació d'aquesta tesi és obligatòria perquè sinó més d'un/a em mata. ha, ha, ha Amb aquestes línies vull expressar la meua gratitud... ...a la meua família pel seu constant suport. A ma mare per tot el que es preocupa per mi, que no passi fam, fred, i una infinitud de coses mes. A mon pare i a la meua germana, que encara que siguin molt pesats i no paren de demanar-me favors relacionats amb la "informàtica", em donen suport. I sobretot agrair-li'ho a la meua parella Bea, a la que li dec moltes coses, que ha hagut d'aguantar-me en els bons i mals moments (perquè encara que no ho paregui, jo sóc més bitxo que ella). No oblidi agrair-li'ho també als meus avis que ens han deixat i a mà iaio Vicent al que no visito el que és suficient però que vull moltíssim. ...als amics que m'acompanyen sempre. Als amics d' Alzira (tu també Ivan, guapo!), que des que era un nano, han compartit en mi tantíssimes coses. Des de les vesprades de mega-construccions amb Legos (Eh Aitor!), tardes jugant a videojocs, i desfilades militars als corredors de casa Julian a birres, mandanga, i nits de festa amb els meus cosins preferits (Aidan e Ian). També recordar als més pesats/cabuts com Frank amb el que he discutit molt de temes inversemblants a la part que graciosos. Als amics de la universitat que continuen allí (Javi i Cristian) i als que es troben treballant a l'empresa privada (Tomàs, Nico, Jose2, Jovi, Pedro, Marco, etc.) que compartissen amb mi la passió per la informàtica i pel deport ("¡VUAMOS!" Elias). ...als companys de l'equip d'investigació del VRAIN amb els quals vaig començar aquest camí i han finançat els meus treballs. A Sole i Javi que foren els meus mentors als inicis i dels quals he aprés un fum. Al Boss, Vicent Botti, que sempre m'ha oferit oportunitats al VRAIN i que hem brindà l'oportunitat de realitzar aquesta tesi. I especialment a Ana i Elena que han sigut les millores directores de tesi, les quals m'han ajudat en tot moment, inclús quan no es trobaven bé o després d'haver donat a llum a un preciós bebé (Felicitats Elena!).

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Privacy concerns when using augmented reality face filters? Explaining why and when use avoidance occurs

Cowan

Javornik

Jiang

2021

Psychology and Marketing

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Augmented reality face filters (e.g., Snapchat) are ubiquitous in today's market. Yet, we know little about the impact of individuals' concerns for their own and others' privacy and sharing biometric facial data while interacting with such augmented reality face filters. Our study aims to uncover whether privacy concerns affect responses toward augmented reality face filter apps, as well as the underlying mechanisms of this process, specifically perceived usefulness and flow. First, a survey study shows that individual perceptions of privacy concerns indirectly decrease use intentions and word‐of‐mouth via perceived usefulness and flow. Second, integrating construal level theory, we demonstrate in an experimental study that users report lower use intentions and word‐of‐mouth (again mediated through perceived usefulness and flow) when providing a concrete (vs. abstract) privacy policy. Additionally, we offer evidence for boundary effects and show that these patterns emerge only when users interacted with highly hedonic filters. The research demonstrates that privacy concerns related to use of augmented reality face filters indirectly affects future behavioral intentions and explains the phenomenon through lenses of the privacy paradox and construal level theory. By accounting for how people process information, the research evidence novel mechanisms for interrupting the privacy paradox.

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Privacy and pleasure: A paradox of the hedonic use of computer-mediated social networks

Cited by 19 publications

References 46 publications

User misrepresentation in online social networks: how competition and altruism impact online disclosure behaviours

User misrepresentation in online social networks: how competition and altruism impact online disclosure behaviours

Measures of Privacy Protection on Social Environments

Privacy concerns when using augmented reality face filters? Explaining why and when use avoidance occurs

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