Beyond disclosure: the role of self-identity and context collapse in privacy management on identified social media for LGBTQ+ people

Purpose

While anonymous online interactions could be helpful and less risky, they are usually not enough for LGBTQ+ people to satisfy the need of expressing their marginalized identity to networks of known ties (i.e. on identified social media like Facebook, WeChat, and TikTok). However, identified social media bring LGBTQ+ people both sources and challenges like “context collapse” that flattens diverse networks or audiences that are originally separated. Previous studies focus on LGBTQ+ people's disclosure and responses to context collapse, few studies investigate how their perceptions of context collapse are shaped and their privacy management beyond regulating disclosure on social media. Drawing on identity theory and communication privacy management (CPM), this study aims to investigate how the need of LGBTQ+ people for self-identity affects their perceived context collapse and results in privacy management on identified social media.

Design/methodology/approach

Given the target population is LGBTQ+ people, The authors recruited participants through active LGBTQ+ online communities, influential LGBTQ+ activists, and the snowballing sampling. The authors empirically examined the proposed model using the PLS-SEM technique with a valid sample of 232 respondents concerning their identity practices and privacy management on WeChat, a typical and popular identified social media in China.

Findings

The results suggested that the need for expressing the self and the need for maintaining continuity of self-identity have significant influences on perceived context collapse, but vary in directions. The perceived context collapse will motivate LGBTQ+ individuals to engage in privacy management to readjust rules on ownership, access, and extension. However, only ownership management helps them regain the perceived privacy control on social media.

Originality/value

This study incorporated and highlighted the influence of LGBTQ+ identity in shaping context collapse and online privacy management. This study contributes to the literature on privacy and information communication and yields practical implications, especially on improving privacy-related interactive design for identified social media services.

Does the internet help governments contain the COVID-19 pandemic? Multi-country evidence from online human behaviour

The effectiveness of social distancing and other public health interventions for containing the COVID-19 pandemic has been demonstrated. However, whether and how Internet use behaviours can lead to enhanced self-protection and reduced transmission when considered in conjunction with behavioural interventions remains unclear. This study investigated the strength of effective Internet behaviours and its interaction with global public health interventions for controlling the COVID-19 pandemic. We conducted an econometric analysis of multisource infection and policy information, Internet behaviour, and meteorological information from worldwide in a 3-month period. People's Internet behaviours may contribute crucially to pandemic containment. Furthermore, they may help enhance the effects of public health interventions, particularly behavioural interventions. We discussed plausible mechanisms through which Internet behaviours reduce epidemic spread independently or in tandem with behavioural interventions. Further investigation into the heterogeneity of the interventions demonstrates Internet behaviour's significance in heightening the effects of difficult-to-implement, primitive crisis orientation, and specific objectives of interventions. Governments should recognise the importance of the Internet and leverage it in managing social crises. Our findings serve as a reference for the formulation of global public health policy. Specifically, the insights provided herein can facilitate the implementation of strategies for containing ongoing secondary outbreaks of COVID-19 or outbreaks of other emergent infectious diseases.

The Impact of Social Reputation Features in Innovation Tournaments: Evidence from a Natural Experiment

With firms increasingly relying on external knowledge resources for solving complex problems, the role of digital platforms, which make this external search efficient, has become significant. For such platforms, of which Kaggle is an example, a perennial challenge is to elicit high-quality solutions from their voluntary contributors. To this end, our work underscores the importance of platform-wide design decisions for the quality of solutions that the platform's users generate. We show that a social feature that offers reputational gain may lead to significant quality improvements. Therefore, we recommend that platforms should view such features more favorably and include them. In addition, our work also suggests that firms that are using digital platforms to engage with external knowledge sources should time their activities, keeping in mind platform-wide design changes given that such changes can directly impact the firm's surplus.

Fitness Tracker Information and Privacy Management: Empirical Study

Background

Fitness trackers allow users to collect, manage, track, and monitor fitness-related activities, such as distance walked, calorie intake, sleep quality, and heart rate. Fitness trackers have become increasingly popular in the past decade. One in five Americans use a device or an app to track their fitness-related activities. These devices generate massive and important data that could help physicians make better assessments of their patients’ health if shared with health providers. This ultimately could lead to better health outcomes and perhaps even lower costs for patients. However, sharing personal fitness information with health care providers has drawbacks, mainly related to the risk of privacy loss and information misuse.

Objective

This study investigates the influence of granting users granular privacy control on their willingness to share fitness information.

Methods

The study used 270 valid responses collected from Mtrurkers through Amazon Mechanical Turk (MTurk). Participants were randomly assigned to one of two groups. The conceptual model was tested using structural equation modeling (SEM). The dependent variable was the intention to share fitness information. The independent variables were perceived risk, perceived benefits, and trust in the system.

Results

SEM explained about 60% of the variance in the dependent variable. Three of the four hypotheses were supported. Perceived risk and trust in the system had a significant relationship with the dependent variable, while trust in the system was not significant.

Conclusions

The findings show that people are willing to share their fitness information if they have granular privacy control. This study has practical and theoretical implications. It integrates communication privacy management (CPM) theory with the privacy calculus model.

Information disclosure willingness and mobile cloud computing collaboration apps: the impact of security and assurance mechanisms

Purpose

In this research, the authors focus on mobile cloud computing (MCC) collaboration apps that are multiplatform and send the users’ data to the cloud. Despite their benefits, MCC collaboration apps raise privacy concerns, as the users’ information is sent to the cloud where users lack direct control. This study aims to investigate why users disclose information to MCC apps despite privacy concerns and examine the effect of security and assurance mechanisms (i.e. privacy policies and ISO/IEC 27018 certification) on users’ perceptions and information disclosure. Based on three surveys conducted in 2016 (n = 515), 2017 (n = 505) and 2018 (n = 543), this study finds mixed results regarding the relationships among security, assurance mechanisms, utilitarian benefits and information disclosure.

Design/methodology/approach

This study conducted three scenario-based surveys in the USA in 2016 (n = 515), 2017 (n = 505) and 2018 (n = 543).

Findings

This study finds mixed results of relationships among security, assurance mechanisms, utilitarian benefit and information disclosure.

Originality/value

With proliferation of MCC apps, the investigation of how users make privacy decision to disclose personal information to these apps is sparse. This study, for the first time, investigates whether the signals of assurance mechanism decrease users’ privacy concerns. This study also examines the interplay between security and privacy within information disclosure behavior. Finally, this study was conducted in 3 years to enhance the generalizability and robustness of findings.

Understanding content sharing on the internet: test of a cognitive-affective-conative model

Purpose

With the prevalence of user-generated content on the internet, this study aims to propose a cognitive-affective-conative model to examine how users create and share their content online. The moderating role of gender differences is also tested in the model.

Design/methodology/approach

This study collects a representative sample of 873 internet users via a nation-wide survey in Taiwan.

Findings

The results show that hedonic value has a positive impact on internet satisfaction, and social value affects life satisfaction and internet satisfaction positively. Both life satisfaction and internet satisfaction are positively related to content sharing on the internet. In particular, the positive effect of life satisfaction on online content sharing is greater for male users than for female users.

Research limitations/implications

This study contributes to the existing literature by investigating online content sharing behavior from the cognitive-affective-conative perspective. This study also provides a better understanding of this behavior by simultaneously examining life satisfaction and internet satisfaction as two underlying mechanisms. Furthermore, gender differences play an important role in determining content sharing on the internet.

Practical implications

For digital marketing practitioners, this study suggests several online editing and social mechanisms for encouraging users' engagement in content sharing behavior on the internet.

Originality/value

This study is one of the first that examines a cognitive-affective-conative framework of content sharing behavior on the internet. This study also demonstrates boundary conditions of this framework by testing the moderating role of gender differences.

Greater patient health information control to improve the sustainability of health information exchanges

Health information exchanges (HIEs) are multisided platforms that facilitate the sharing of patient health information (PHI) between providers and payers across organizations within a region, community or hospital system. The benefits of HIEs to payers and providers include lower cost, faster services, and better health outcome. However, most HIEs have configured the patient healthcare consent process to give all providers who sign up with the exchange access to PHI for all consenting patients, leaving no control to patients in customized what information to share and with who. This research investigates the impact of granting greater control to patients in sharing their personal health information on consent rates and making them active participants in the HIEs system. This research utilizes a randomized experimental survey design study. The study uses responses from 388 participants and structural equation modeling (SEM) to test the conceptual model. The main findings of this research include that patients consent rate increases significantly when greater control in sharing PHI is offered to the patient. In addition, greater control reduces the negative impact of privacy concern on the intention to consent. Similarly, trust in healthcare professionals leads to higher consent when greater control is offered to the patient. Thus, greater control empowers the role of trust in engaging patients and sustaining HIEs. The paper makes a theoretical contribution to research by extending the unified theory of acceptance and use of technology (UTAUT) model. The findings impact practice by providing insights that will help sustain HIEs.