Rumour Veracity Estimation with Deep Learning for Twitter

Part 4: Security, Privacy, Ethics and MisinformationInternational audienceTwitter has become a fertile ground for rumours as information can propagate to too many people in very short time. Rumours can create panic in public and hence timely detection and blocking of rumour information is urgently required. We proposed and compare machine learning classifiers with a deep learning model using Recurrent Neural Networks for classification of tweets into rumour and non-rumour classes. A total thirteen features based on tweet text and user characteristics were given as input to machine learning classifiers. Deep learning model was trained and tested with textual features and five user characteristic features. The findings indicate that our models perform much better than machine learning based models

Metaverse beyond the hype: Multidisciplinary perspectives on emerging challenges, opportunities, and agenda for research, practice and policy

The metaverse has the potential to extend the physical world using augmented and virtual reality technologies allowing users to seamlessly interact within real and simulated environments using avatars and holograms. Virtual environments and immersive games (such as, Second Life, Fortnite, Roblox and VRChat) have been described as antecedents of the metaverse and offer some insight to the potential socio-economic impact of a fully functional persistent cross platform metaverse. Separating the hype and “meta…” rebranding from current reality is difficult, as “big tech” paints a picture of the transformative nature of the metaverse and how it will positively impact people in their work, leisure, and social interaction. The potential impact on the way we conduct business, interact with brands and others, and develop shared experiences is likely to be transformational as the distinct lines between physical and digital are likely to be somewhat blurred from current perceptions. However, although the technology and infrastructure does not yet exist to allow the development of new immersive virtual worlds at scale - one that our avatars could transcend across platforms, researchers are increasingly examining the transformative impact of the metaverse. Impacted sectors include marketing, education, healthcare as well as societal effects relating to social interaction factors from widespread adoption, and issues relating to trust, privacy, bias, disinformation, application of law as well as psychological aspects linked to addiction and impact on vulnerable people. This study examines these topics in detail by combining the informed narrative and multi-perspective approach from experts with varied disciplinary backgrounds on many aspects of the metaverse and its transformational impact. The paper concludes by proposing a future research agenda that is valuable for researchers, professionals and policy makers alike

Impact of fake news on firm performance during COVID-19: an assessment of moderated serial mediation using PLS-SEM

Purpose: Fake news on social media about COVID-19 pandemic and its associated issues (e.g. lockdown) caused public panic that lead to supply chain (SC) disruptions, which eventually affect firm performance. The purpose of this study is to understand how social media fake news effects firm performance, and how to mitigate such effects. Design/methodology/approach: Grounded on dynamic capability view (DCV), this study suggests that social media fake news effects firm performance via SC disruption (SCD) and SC resilience (SCR). Moreover, the relation between SCD and SCR is contingent upon SC learning (SCL) – a moderated mediation effect. To validate this complex model, the authors suggest effectiveness of using partial least squares structural equation modeling (PLS-SEM). Using an online survey, the results support the authors’ hypotheses. Findings: The results suggest that social media fake news does not affect firm performance directly. However, the authors’ serial mediation test confirms that SCD and SCR sequentially mediate the relationship between social media fake news and firm performance. In addition, a moderated serial mediation test confirms that a higher level of SCL strengthens the SCD–SCR relationship. Research limitations/implications: This work offers a new theoretical and managerial perspective to understand the effect of fake news on firm performance, in the context of crises, e.g. COVID-19. In addition, this study offers the advancement of PLS as more robust for real-world applications and more advantageous when models are complex. Originality/value: Prior studies in the SC and marketing domain suggest different effects of social media fake news on consumer behavior (e.g. panic buying) and SCD, respectively. This current study is a unique effort that investigates the ultimate effect of fake news on firm performance with complex causal relationships via SCD, SCR and SCL

Performance of small firms in a circular economy: configuring challenges and entrepreneurial orientation

Purpose: Society's concerns about environmental degradation have tightened competitive pressure and brought new challenges to small firms. Against this backdrop, this study develops a decision model to determine a suitable configuration for entrepreneurial orientation to help small firms manage circular economy challenges and improve their performance. Design/methodology/approach: This study used a multi-study and multi-method approach. Study 1, through qualitative in-depth interviews, identified a portfolio of circular economy challenges and entrepreneurial-orientation components. Study 2 applied the quality function deployment technique to determine the most important components of entrepreneurial orientation. Study 3 adopted a fuzzy set qualitative comparative analysis to determine the best configuration for challenges and components. Findings: The findings reveal a set of challenges and identify the salient need to combine the negation of these challenges with the components of entrepreneurial orientation; this combination will improve the performance of small firms. The research extends the current knowledge of managing circular economy challenges and offers decision-makers insights into improving their resilience. Originality/value: The use of the dynamic capability view, together with the multi-study and multi-method approach, may lead to an appropriate reconfiguration of entrepreneurial orientation, which, to date, has received limited empirical attention in the small-business-management discipline

Parental perceptions of dental health and need for treatment in children with epilepsy: a multicenter cross-sectional study

Ahmed Hussein Subki,1 Abdel Moniem Mukhtar,2 Omar M Saggaf,1 Ragaa A Ali,3 Khalid A Khalifa,3 Dalia M Al-Lulu,3 Mohammed Saad Alsallum,1 Diyaa H Bokhary,1 Ayman M Baabdullah,1 Sulaiman M Kassar,1 Basil M Jan,4 Muhab M Hindi,1 Mohammed M Jan1 1Department of Pediatrics, Faculty of Medicine, King Abdulaziz University, Jeddah, Saudi Arabia; 2Department of Family and Community Medicine, Faculty of Medicine, King Abdulaziz University, Jeddah, Saudi Arabia; 3Batterjee Medical College, Jeddah, Saudi Arabia; 4Faculty of Dentistry, King Abdulaziz University, Jeddah, Saudi Arabia Background: Epilepsy is a common neurological disorder in childhood. However, there have been limited studies on its impact on the oral health of affected children. Our study aimed to assess the oral health of children with epilepsy in the city of Jeddah, Saudi Arabia, as perceived by their mothers. Methods: We conducted a cross-sectional study in three hospitals. We included children 2–18 years old with physician-confirmed epilepsy diagnosis. We assessed parental perception of dental status and need for dental care using a standardized questionnaire that was completed by the mothers. To adjust for potential confounding variables, we used univariate and multivariate logistic regression. Results: We included 96 children with epilepsy in our study. Their mean age was 6.4±3.4 years. In 55.2% (n=53), dental status was rated as bad, and in 84.4% (n=81) a need for dental care was expressed. Cerebral palsy (OR 5.06, 95% CI 1.28–19.99; P=0.021), motor disability (OR 6.41, 95% CI 1.12–36.73; P=0.037), referral from a pediatric neurology clinic to a dentist (OR 10.755, 95% CI 3.290–35.151; P<0.001), and irregular brushing of teeth (OR 5.397, 95% CI 1.536–18.961; P=0.009) were significantly associated with increased risk of perceived bad dental status. Perception of the child as being overweight (OR 0.117, 95% CI 0.034–0.400; P=0.001) was significantly associated with decreased risk of perceived bad dental status. Motor disability (OR 5.73, 95% CI 1.64–20.04; P=0.006) was significantly associated with increased parental expression of need for dental care. Conclusion: In most children with epilepsy, perceived dental status was bad and there was a high expressed need for dental care. Interventions to improve the dental health of children with epilepsy should focus on those with cerebral palsy and motor disability. Keywords: oral, dental, teeth, hygiene, health, epilepsy, chil

Shaping the Metaverse into Reality: A Holistic Multidisciplinary Understanding of Opportunities, Challenges, and Avenues for Future Investigation

\ua9 2023 International Association for Computer Information Systems. The term metaverse is described as the next iteration of the Internet. Metaverse is a virtual platform that uses extended reality technologies, i.e. augmented reality, virtual reality, mixed reality, 3D graphics, and other emerging technologies to allow real-time interactions and experiences in ways that are not possible in the physical world. Companies have begun to notice the impact of the metaverse and how it may help maximize profits. The purpose of this paper is to offer perspectives on several important areas, i.e. marketing, tourism, manufacturing, operations management, education, the retailing industry, banking services, healthcare, and human resource management that are likely to be impacted by the adoption and use of a metaverse. Each includes an overview, opportunities, challenges, and a potential research agenda

A Meta-analysis of Social Commerce Adoption Research

Social commerce is a subset of e-commerce that utilises social media to facilitate interaction between sellers and consumers. Over the last number of years, the subject of social commerce has attracted significant attention from many researchers as they attempt to understand the factors affecting its adoption by consumers. A review of results from existing studies suggests inconsistent results for many relationships. Hence, this research has conducted a meta-analysis of 65 studies and synthesized the findings from existing studies in order to estimate the cumulative correlation coefficient (β) and significance (p). The investigation found that behavioural intention, trust, perceived usefulness, and social support are frequently examined dependent variables, that are strongly influenced by a number of independent variables. The findings in this study suggests that perceived usefulness, hedonic value, social commerce constructs, subjective norms, informational and emotional support are important for encouraging social commerce adoption. This research highlights various antecedents that have been theoretically examined in different social commerce studies that explore the effect size through meta-analysis

Investigating the Impact of Social Media Commerce Constructs on Social Trust and Customer Value Co-creation: A Theoretical Analysis

Social media commerce has been one of the fastest-growing areas over recent years. However, only a limited number of studies have addressed the related issues of social media commerce. It was also noticed that extant literature did not explore or link the impact of social commerce constructs on social trust and how this could impact the customer value co-creation. Hence, the current research aims to identify this gap and to propose a conceptual framework that highlights the linkage between social commerce constructs, social trust, and customer value co-creation. In line with this, a number of exploratory interviews were conducted to gain further understanding about how the customer’s perception of customer value co-creation and social trust could be affected by the role of social commerce. Accordingly, the current model proposes that social commerce constructs (second-order; ratings and reviews, recommendations and referrals, and forums and communities) impact social trust, which in turn affects customer value co-creation dimensions (functional value, hedonic value, and social value) in social network sites (SNSs). Theoretical and practical implications are provided