Passing the Torch: How Parental Privacy Concerns Affect Adolescent Self-Disclosure on Social Networking Sites

2023 | Management Information Systems Quarterly | Citations: 0

Authors: Wang, Jingguo; Dong, Meichen; Yang, Zhiyong; Li, Yuan

Abstract: Drawing upon the literatures in information privacy, developmental psychology, ... Expand

Abstract: Drawing upon the literatures in information privacy, developmental psychology, and family science, this research investigates how parental online privacy concerns can be passed on to adolescents and affect their self-disclosure on social networking sites. We propose that parental privacy concerns decrease adolescents' self-disclosure both directly (i.e., compliance) and indirectly through adolescents ' privacy concerns (i.e., internalization) and that such effects are moderated by parent-child privacy dissonance, parental internet evaluative mediation, and adolescents' gender. To test the research model, we collected matched parent-child data from 726 families in China. The results show the indirect effect of parental privacy concerns on adolescents' self-disclosure via their influence on adolescents' privacy concerns. In addition, parent-child privacy dissonance weakens the effect of adolescents' privacy concerns on selfdisclosure. The extent to which parents employ internet evaluative mediation to guide adolescents' online activities reinforces the effect of parental privacy concerns on adolescents' privacy concerns. Statistical analyses further revealed that the mediating effect of adolescents' privacy concerns is weakened by parent-child privacy dissonance but strengthened by internet evaluative mediation. We also found that parental privacy concerns affect sons and daughters through different paths, especially when parents employ high internet evaluative mediation. Under high internet evaluative mediation, parental privacy concerns affect sons' self-disclosure primarily through an indirect path (via sons' privacy concerns), but influence daughters' self-disclosure both directly and indirectly via daughters' privacy concerns. We conclude by discussing theoretical contributions and practical implications. Collapse

Topics: information privacy concern internet technology privacy Snapchat Instagram

Methods: chi squared test survey statistical hypothesis test descriptive statistic self reported survey

Theories: privacy calculus theory

Social Media Use Purposes and Psychological Wellbeing in Times of Crises

2023 | HICSS | Citations: 0

Authors: Wang, Tawei (David); Deng, Xuefei

Abstract: This study investigates the effect of social media (SM) use purposes and user ch ... Expand

Abstract: This study investigates the effect of social media (SM) use purposes and user characteristics on individual psychological wellbeing (PWB) during the coronavirus pandemic (COVID-19). Informed by the uses and gratifications theory and PWB research, this study analyzed survey data collected from 282 SM users aged 18 through 59 from a minority-serving university in the United States in March-April 2020. Our quantitative data analysis showed that social media can be used to improve the quality of personal experiences during the COVID-19 crisis through three mechanisms—connectedness (i.e., social), engagement (i.e., collaborative), and entertainment (i.e., hedonic). However, the effect varied by gender, SM usage level, and individual concern about COVID-19 risk. The findings contribute to the literature and offer implications in technology use for enhancing public mental health during crises. Collapse

Topics: social media pandemic covid 19 social network information exchange

Methods: survey descriptive statistic factor analysis ordinary least square conceptual modelling

Theories: uses and gratifications theory

The effects of advertisement disclosure on heavy and light Instagram users

2022 | Electronic Markets | Citations: 1

Authors: Saternus, Zofia; Weber, Patrick; Hinz, Oliver

Abstract: The present study investigates the moderating effect of usage intensity of the s ... Expand

Abstract: The present study investigates the moderating effect of usage intensity of the social networking site (SNS) Instagram (IG) on the influence of advertisement disclosure types on advertising performance. A national sample (N = 566) participated in a randomized online experiment including a real influencer and followers in order to investigate how different advertisement disclosure types affect advertising performance and how usage intensity moderates this effect. We find that disclosing an influencer’s postings with “#ad” increases the trustworthiness of the influencer and the general credibility of the posting for heavy users, but not for light users. Followership of a user has been found to strongly improve all researched variables (attitude toward product placement, trustworthiness of the spokesperson and general credibility of the posting). This study adds to literature the first distinction on heavy and light usage intensity, and on followership of an IG user when regarding the effects of advertisement disclosure types on advertising performance. To conclude, we present a number of recommendations regarding how advertisers, influencers, and SNS providers should develop strategies for monitoring, understanding, and responding to different social media users, e.g., to closely monitor an influencer’s audience to identify heavy users and optimally target them. Collapse

Topics: advertising management marketing management social media Facebook Snapchat

Methods: experiment survey descriptive statistic quantitative observational study parametric test

The Diffusion of Social Media Apps and Services in Online Social Networks – A Simulation Study

2021 | International Conference on Information Systems | Citations: 0

Authors: Beşer, Alper; Lackes, Richard

Abstract: Online social networks like Facebook or Instagram offer a variety of different ... Expand

Abstract: Online social networks like Facebook or Instagram offer a variety of different social media services (e.g. sharing of information, photos, or videos) that are often encapsulated in social media apps for mobile devices like smartphones. The more users such apps have, the greater is the attraction of adoption for non-users because the social utility derived from using the offered services increases with the number of reachable members. In this paper, we propose a novel classification scheme for social media apps and investigate how different types can successfully diffuse in online social networks. For this, we wrote a simulation to test the diffusion in an extracted sub-graph of Facebook with more than 3 million vertices. Our results indicate that for some types of apps, a critical advertising budget exists that needs to be at least invested for maintaining a steady state. Otherwise, the activity in the app declines to zero. Collapse

Topics: mobile application social media advertising management frequency of use innovation management

Methods: simulation descriptive statistic experiment survey design

The role of social media in the engagement and information processes of social CRM

2020 | International Journal of Information Management | Citations: 24

Authors: Harrigan, Paul; Miles, Morgan P.; Fang, Yulin; Roy, Sanjit K.

Abstract: This study furthers investigation into exactly how Social CRM (S-CRM) is differe ... Expand

Abstract: This study furthers investigation into exactly how Social CRM (S-CRM) is different from traditional CRM, and models the interrelationships between its capabilities. It is underpinned in dynamic capabilities theory, to ex­ plain how social media, as a resource all organizations use, can lead to differing performance outcomes. It is underpinned in seminal research into traditional CRM, but which does not cater for the disruptive nature of social media. We outline how S-CRM is a second-order dynamic capability consistng of a set of first-order in­ tegrative dynamic capabiliies that, when properly interrelated, lead to performance outcomes. We particularly model the role of S-CRM front- and back-office technology capabilities, customer engagement initiatives, and social information processes in driving customer relationship performance. Findings show that S-CRM is dif­ ferent from traditional CRM in a range of ways in the front- and back-offices, and provide a framework for researcher and managers in information systems and marketing to operate at strategic and tactical levels within S-CRM, while being congisant of both. Collapse

Topics: social media information technology capability marketing management customer relationship management system electronic mail

Methods: survey partial least squares path modeling partial least squares regression descriptive statistic structural equation modeling

Theories: dynamic capabilities theory

Cross-Platform Spillover Effects in Consumption of Viral Content: A Quasi-Experimental Analysis Using Synthetic Controls

2020 | Information Systems Research | Citations: 0

Authors: Krijestorac, Haris; Garg, Rajiv; Mahajan, Vijay

Abstract: To inform product release and distribution strategies, research has analyzed cro ... Expand

Abstract: To inform product release and distribution strategies, research has analyzed cross-market spillovers in new product adoption. However, models that examine these effects for digital and viral media are still evolving. Given resistance to advertising, firms often seek to promote their own viral content to boost brand awareness. However, a key shortcoming of virality is its ephemeral nature. To gain insight into sustaining virality, we develop a quasi-experimental approach that estimates the backward spillover onto a focal platform by introducing a piece of content onto a new platform. We posit that introducing content to the audience of a new platform can generate word of mouth, which may affect its consumption within an earlier platform. We estimate these spillovers using data on 381 viral videos on 26 platforms (e.g., YouTube, Vimeo) and observe how consumption of videos on an initial “lead” platform is affected by their subsequent introduction onto “lag” platforms. This spillover is estimated as follows: for each multiplatform video, we compare its view growth after being introduced onto a new platform to that of a synthetic control based on similar single-platform videos. Analysis of 275 such spillover scenarios reveals that introducing a video onto a lag platform roughly doubles its subsequent view growth in the lead platform. This positive cross-platform spillover is persistent, bursty, and strongest in the first 42 days. We find that spillover is boosted when the video is consumed more in the lag platform, when the consumption rate peaks earlier in the lag platform, and when the lag platform targets a foreign market. Delaying a video’s introduction onto a lag platform affects spillover concavely, whereas its introduction onto additional platforms shows diminishing returns. We find further support for positive spillover through a small-scale randomized field experiment. Implications are discussed for platforms, content creators, and policy makers. Collapse

Topics: YouTube digital platform viral marketing digital media marketing management

Methods: synthetic control method experiment quasi experiment field experiment Kolmogorov-Smirnov test

The Influence of Design Updates on Users: the Case of Snapchat

2019 | HICSS | Citations: 0

Authors: Franzmann, Daniel; Fischer, Lukas; Holten, Roland

Abstract: Today’s smartphone apps are regularly updated and enhanced through software upda ... Expand

Abstract: Today’s smartphone apps are regularly updated and enhanced through software updates. The case at hand is the popular social multimedia messaging app Snapchat that released a design overhaul in February 2018. While the update neither changed any features nor caused any relevant bugs or crashes, it led to an uproar of Snapchat’s users and significantly decreased its app store ratings and consequently revenue. As a result, Snap Inc., the company behind Snapchat, was forced to reverse design changes to appease their users. The initial adverse effects of the update were surprising; however, after using difference-in-difference tests in combination with sentiment analysis, our results indicate that design updates can be perceived negatively by users. We contribute to IS literature by evaluating the effect of design changes and the role of perceived ease of use in the post-adoption stage. Collapse

Topics: Snapchat mobile application market mobile application digital distribution perceived ease of use

Methods: natural language processing sentiment analysis parametric test longitudinal research Student's t-test

Digital natives’ coping with loneliness: Facebook or face-to-face?

2019 | Information & Management | Citations: 0

Authors: Gentina, Elodie; Chen, Rui

Abstract: This study compares online self-disclosure through Facebook with offline self-di ... Expand

Abstract: This study compares online self-disclosure through Facebook with offline self-disclosure through face-to-face interactions to understand when and why digital natives may prefer to resolve perceived loneliness by turning to the Internet. Survey data from adolescents indicate that digital natives who employ passive coping favor self-disclosure through Facebook, but natives who engage in active coping prefer face-to-face self-disclosures. Both routes, through active and passive coping, appear to mediate the relationship between loneliness and online/offline self-disclosures. Moreover, the relationship between loneliness and self-disclosure exhibits gender differences. This study extends insights into digital natives, sheds light on self-disclosures, and contributes to coping research. Collapse

Topics: Facebook social media privacy internet technology data breach

Methods: survey cross sectional research data transformation confirmatory factor analysis factor analysis

Theories: social exchange theory privacy calculus theory big five model learning theory uncertainty reduction theory

The impact of Social Networking Sites on Relationship Maintenance of Social Capital

2019 | Americas Conference on Information Systems | Citations: 0

Authors: Mcloughlin, Shane; Maccani, Giovanni; Puvvala, Abhinay; Donnellan, Brian

Abstract: Although Social Networking Sites (SNS) offer numerous affordances in displacing ... Expand

Abstract: Although Social Networking Sites (SNS) offer numerous affordances in displacing the barriers of time and space for empowering rural citizens to maintain and increase their social capital, the degree to which these affordances diminish the relative significance of face to face and mediated communication is unclear. This paper examines the impact of SNS on Relationship Maintenance (RM) of social capital (SC) using a novel mixed method design, applied to a representative survey sample of a rural Irish community, followed by a sub-sample for in-depth interview. Findings illustrate that despite widespread adoption of SNS, the role and importance of SNS for RM of SC still pale in comparison to Face to Face & other media. We discuss our findings in relation to affordance theories of Computer Mediated Communication, highlighting factors such as Instrumental Awareness, altruistic behaviors, and socio-cultural contextual factors impacting appropriation and use value of SNS. Collapse

Topics: social capital electronic mail affordance telephone usability

Methods: survey theory development qualitative interview mixed method design artifact

Theories: theory of affordance

Using big data analytics to study brand authenticity sentiments: The case of Starbucks on Twitter

2019 | International Journal of Information Management | Citations: 1

Authors: Shirdastian, Hamid; Laroche, Michel; Richard, Marie-Odile

Abstract: There is a strong interest among academics and practitioners in studying brandin ... Expand

Abstract: There is a strong interest among academics and practitioners in studying branding issues in the big data era. In this article, we examine the sentiments toward a brand, via brand authenticity, to identify the reasons for positive or negative sentiments on social media. Moreover, in order to increase precision, we investigate sentiment polarity on a five-point scale. From a database containing 2,282,912 English tweets with the keyword ‘Starbucks’, we use a set of 2204 coded tweets both for analyzing brand authenticity and sentiment polarity. First, we examine the tweets qualitatively to gain insights about brand authenticity sentiments. Then we analyze the data quantitatively to establish a framework in which we predict both the brand authenticity dimensions and their sentiment polarity. Through three qualitative studies, we discuss several tweets from the dataset that can be classified under the quality commitment, heritage, uniqueness, and symbolism categories. Using latent semantic analysis (LSA), we extract the common words in each category. We verify the robustness of previous findings with an in-lab experiment. Results from the support vector machine (SVM), as the quantitative research method, illustrate the effectiveness of the proposed procedure of brand authenticity sentiment analysis. It shows high accuracy for both the brand authenticity dimensions’ predictions and their sentiment polarity. We then discuss the theoretical and managerial implications of the studies. Collapse

Topics: Twitter social media database system decision support system information management

Methods: support vector machine sentiment analysis computational algorithm machine learning latent semantic analysis

Theories: marketing theory