Australian Computer Society: ACS Digital Library
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Factors affecting prosocial sharing health-related information on social media during a health crisis: A dual exchanging-protecting model
During a health crisis, prosocial sharing of health-related information (HRI) on social media can help deliver early warnings about new diseases, raise social awareness, exchange support, and spread health policies. Current literature has mainly focused on the factors of general sharing of HRI under normal conditions but neglected those motivations under the health crisis context. This study aims to investigate factors that influence prosocial sharing of HRI on social media during a health crisis. To obtain the objective, this study proposes a dual exchanging-protecting model derived from the fear appeal model and social exchange theory. A partial least squares analysis, carried out on surveyed data of 326 participants, suggested that online users performed two steps of threat appraisal and coping appraisal when they share HRI on social media. Specifically, both health and information risks were found to have impacts on prosocial sharing via motivational factors. Additionally, the motivations of prosocial sharing include both protecting factors (i.e., sharing efficacy, response efficacy) and an exchanging factor (i.e., reciprocity expectation). Our findings offer several theoretical implications and practical contributions for health communicators
Approaches and Models for Teaching Digital Ethics in Information Systems Courses – A Review of the Literature
The value and importance of teaching Digital Ethics within Information Systems and ICT courses is widely recognized and stand-alone or integrated digital ethics units are broadly implemented across degree courses. However, how such courses should be taught and what content they should include is a little explored topic. Using a narrative literature review methodology, this paper reviews the pedagogical theories underpinning digital ethics courses discussed in the literature and outlines approaches that deploy standalone ethics units, integrated ethics teaching, and hybrid teaching approaches and the use of interdisciplinary models. The paper identifies the employment of, and emphasis given to various moral theories in digital ethics education. The paper then discusses how our findings relating to different pedagogical approaches, degree of integration of ethics teaching, the use of interdisciplinary models and use of moral theories—are related to each other. The discussion explores trends in approaches and models for teaching digital ethics highlighted in the review, and makes recommendations for further exploration and inquiry. It concludes that the effective teaching of digital ethics will likely involve a considered combination of approaches, models and techniques, which may also be tailored to the needs of different roles and industries
Investigating the Moderating Effect of Massively Multiplayer Online (MMO) Games on the Correlation Between Flow and Game Addiction: A Meta-Analysis
The flow theory of addiction suggests that the psychological flow state and addiction are positively correlated. However, based on 23 empirical studies involving 6,772 subjects, our meta-analysis shows that this relationship is significantly weakened in massively multiplayer online (MMO) games. Our results suggest that game genre, which is often overlooked in existing theories, warrants more attention in future research on game addiction. For game developers, our results suggest that it is particularly important for non-MMO games to provide a good match between game challenge and player skill level, which is essential to the flow experience. As MMO games have been reported to be more addictive than non-MMO games, future research should also investigate the unique characteristics of MMO games that cause addiction in this game genre
Indigenous Knowledge-Sharing Interventions in Australia and the Use of Information and Communication Technology: A Scoping Review
Indigenous peoples in Australia are subject to significant disadvantages both socio-economically and in health, education and service provision. Knowledge-sharing interventions, including those with an information and communications technology (ICT) base, have the potential to address these challenges. Interventions occur against a background of an ancient culture with distinctive ways of knowing and doing, including storytelling, art and performance. This study documents the results of a scoping review of interventions that have been undertaken in this context. It considers the outcomes of these interventions, the extent to which Indigenous ways of knowing were accounted for and whether ICT was involved. Our review of the peer-reviewed literature located two prior reviews and seven primary studies. All of the primary studies were about health interventions; of these, all those that reported positive outcomes only had incorporated Indigenous ways of knowing, some in innovative ways. Only two studies used ICT as their main vehicle. This article provides a base for further work by documenting the current status of the field and identifying the gaps, such as the scarcity of non-health and ICT-based studies. The cases identified provide useful insights for those with an interest in developing future initiatives
Data-Driven Organizations: Review, Conceptual Framework, and Empirical Illustration
With companies and other organizations increasingly striving to become (more) data-driven, there has been growing research interest in the notion of a data-driven organization (DDO). In existing literature, however, different understandings of such an organization emerged. The study at hand sets forth to synthesize the fragmented body of research through a review of existing DDO definitions and implicit understandings of this concept in the information systems and related literatures. Based on the review results and drawing on the established concept of the “knowing organization,” our study identifies five core dimensions of a DDO—namely, data sourcing & sensemaking, data capabilities, data-driven culture, data-driven decision-making, and data-driven value creation—which we integrate into a conceptual DDO framework. Most notably, the proposed framework suggests that—like its predecessor, the knowing organization—a DDO may draw on an outside-in view; however, it may also draw on an inside-out view, or even combine the two views, thereby setting itself apart from the knowing organization. To illustrate our conceptual DDO framework and demonstrate its usefulness, we apply this framework to three empirical examples. Theoretical and practical contributions as well as directions for future research are discussed
Integrating Users’ Perceptions to Identify Features Indicating the Quality of Cancer-Related Podcasts Provided by Non-Profit Cancer Organisations
While cancer podcasts are valuable for support and information, there is a significant gap in understanding their quality features from users’ perspectives. Understanding quality features from users’ perspectives is important to ensure that cancer-affected people receive the support they need. This study addresses this gap by combining multiple theoretical perspectives: a. the IQ assessment framework, source credibility theory, two-factor theory of website design to assess the quality of podcasts, and b. reception theory to highlight listeners’ perception of quality. These perspectives, together, enrich the concept of information systems quality and provide a comprehensive understanding of podcasts’ quality. Through semi-structured interviews with 17 cancer-affected individuals, the research found that credibility, content, and design were essential quality features, with the visual appearance serving as a motivational factor. The integration of Reception Theory highlights users’ active role in shaping quality perceptions, offering new insights into the effective design of cancer-related podcasts. This novel approach bridges a critical research gap, illuminating the complex interplay of technical and human factors in assessing podcast quality from the perspective of users
Do Challenge and Hindrance Stressors Effect Cyberloafing Differently? Attentiveness and Anger as Mediators and Trait Mindfulness as a Moderator
The objective of this study is to test the differential effect of challenge and hindrance stressors on cyberloafing, specifically using attentiveness and anger as mediators, respectively. It also investigates the effect of trait mindfulness as a moderator on the effect of hindrance stressors on cyberloafing through anger. We collected data from 304 full-time Indian employees, working in broad-ranging industries and functions. The findings showed that challenge stressors have an indirect negative effect on cyberloafing through attentiveness. The results also indicated that anger partially mediates the positive relationship between hindrance stressors and cyberloafing. Simple moderation analysis revealed that high trait mindfulness lowers the impact of hindrance stressors on anger. Moreover, trait mindfulness moderated the indirect effect of hindrance stressors on cyberloafing through anger, in a way that the indirect effect became weaker in the case of high trait mindfulness. To regulate cyberloafing, we discussed the importance of optimizing challenge stressors to increase attentiveness and enhancing trait mindfulness to weaken the negative effects of hindrance stressors on anger and cyberloafing in the context of the theoretical and practical contribution of the study
Defining Digital Wellbeing Literacy in Remote Work Integrated Learning
The pandemic has accelerated the adoption of remote Work-Integrated Learning (WIL) programs for Higher Education (HE) students, fostered by advances in digital technologies. Emerging as a new post-covid normal, the ‘remote workplace’ and remote WIL brings further challenges with students expressing anxiety in dealing with this new form of working environment. Having the capacity to talk about wellbeing issues with others is an important wellbeing literacy (WL) skill. This paper addresses the need for a better understanding of wellbeing literacy (WL) skills in remote WIL workplaces. Interpreting WL in remote settings can further the definition of WL by extending it to a digital context. In contributing to Computer-Supported Cooperative Work (CSCW) research and the emerging field of WL, this paper explores how WIL students develop WL skills in a remote setting, which we define as Digital Wellbeing Literacy (DWL). In-depth interviews were held with WIL academics, WIL professionals, WIL students and wellbeing experts on digital and pedagogical factors that support WL in remote work. We found that students proactively use digital communication tools and social media to communicate wellbeing concerns, which in turn helps them practice DWL. We propose four strategies toward improving DWL in HE WIL offerings. 
Hate Speech Patterns in Social Media: A Methodological Framework and Fat Stigma Investigation Incorporating Sentiment Analysis, Topic Modelling and Discourse Analysis
Social media offers users an online platform to freely express themselves; however, when users post opinionated and offensive comments that target certain individuals or communities, this could instigate animosity towards them. Widespread condemnation of obesity (fatness) has led to much fat stigmatizing content being posted online. A methodological framework that uses a novel mixed-method approach for unearthing hate speech patterns from large text-based corpora gathered from social media is proposed. We explain the use of computer-mediated quantitative methods comprising natural language processing techniques such as sentiment analysis, emotion analysis and topic modelling, along with qualitative discourse analysis. Next, we have applied the framework to a corpus of texts on gendered and weight-based data that have been extracted from Twitter and Reddit. This assisted in the detection of different emotions being expressed, the composition of word frequency patterns and the broader fat-based themes underpinning the hateful content posted online. The framework has provided a synthesis of quantitative and qualitative methods that draw on social science and data mining techniques to build real-world knowledge in hate speech detection. Current information systems research is limited in its use of mixed analytic approaches for studying hate speech in social media. Our study therefore contributes to future research by establishing a roadmap for conducting mixed-method analyses for better comprehension and understanding of hate speech patterns
How Big Five Personality Traits affect Information and Communication Technology Use: A Meta-Analysis
This study performed a meta-analysis of forty-eight studies to synthesize existing literature examining the relationship between ‘Big Five’ personality traits and the use of various Information and Communication Technologies (ICTs). We conducted sub-group analysis to investigate the potential moderators on the relationship between personality and ICT use. The results largely reveal that the ‘Big Five’ personality traits are significantly associated with the use of various ICTs. Specifically, ‘extroversion’ showed the strongest association with social networking, along with business and commerce-based ICTs, while ‘openness’ had the highest correlations with career and education, and information-based ICTs. The results also identified technology type, region of the country, and voluntariness as potential moderators. This paper offers theoretical and practical implications that researchers could embrace in enhancing understanding of traits-technology fit, and technology providers in improving crafting, marketing, and delivering technology at the individual, organizational, national, and global levels