Results for ' data business model, surveillance capitalism, social media, big five, personality, payment model '

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  1.  18
    Should We Pay for Our Social Media/Messenger Applications? Preliminary Data on the Acceptance of an Alternative to the Current Prevailing Data Business Model.Cornelia Sindermann, Daria J. Kuss, Melina A. Throuvala, Mark D. Griffiths & Christian Montag - 2020 - Frontiers in Psychology 11.
    In the age of surveillance capitalism, the prevailing business model underlying the use of social media applications (“apps”) foresees the exchange of personal data for the allowance to use an online service. Such a data business model comes with many potential negative side effects ranging from violation of privacy issues to election manipulation. Therefore, it is of utmost importance to think of alternatives to the current data business model. The (...)
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  2. Ethics of Identity in the Time of Big Data - Delivered at 25th Annual International Vincentian Business Ethics Conference (IVBEC), 2018, St. John’s University, New York.James Brusseau - manuscript
    According to Facebook’s Mark Zuckerberg, big data reality means, “The days of having a different image for your co-workers and for others are coming to an end, which is good because having multiple identities represents a lack of integrity.” Two sets of questions follow. One centers on technology and asks how big data mechanisms collapse our various selves (work-self, family-self, romantic-self) into one personality. The second question set shifts from technology to ethics by asking whether we want the (...)
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  3.  27
    Big Data, Surveillance Capitalism, and Precision Medicine: Challenges for Privacy.Mark A. Rothstein - 2021 - Journal of Law, Medicine and Ethics 49 (4):666-676.
    Surveillance capitalism companies, such as Google and Facebook, have substantially increased the amount of information collected, analyzed, and monetized, including health information increasingly used in precision medicine research, thereby presenting great challenges for health privacy.
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  4.  11
    Is Impression Management Through Status Updates Successful? Meta-Accuracy and Judgment Accuracy of Big Five Personality Traits Based on Status Updates From Social Network Sites in China.Ting Wu & Yong Zheng - 2019 - Frontiers in Psychology 10.
    Status updates on social network sites (SNSs) as a new medium for people to express “what is on your mind” on the Internet can provide much information. In the current study, we statistically analysed survey data to examine whether individuals utilize impression management in their status updates on SNSs, whether their attempts at impression management are successful, and whether users who post these status updates can infer how others view them based on these contents, whether the status updates (...)
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  5.  18
    BBC Arabic, Social Media and Citizen Production: An Experiment in Digital Democracy before the Arab Spring.Marie Gillespie - 2013 - Theory, Culture and Society 30 (4):92-130.
    This article examines an innovative experiment in democratizing international broadcasting through embracing a participatory model of production. In spring 2010, a political debate television series was co-created by BBC Arabic and citizen producers, using social media tools. Based around interviews with prominent political and controversial public figures, the programme (G710) was broadcast weekly on satellite TV across the Middle East and the Arabic-speaking world. Combining collaborative ethnography with corporate ‘big data’ analysis, the research team followed the experiment (...)
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  6.  73
    The General Data Protection Regulation in the Age of Surveillance Capitalism.Jane Andrew & Max Baker - 2019 - Journal of Business Ethics 168 (3):565-578.
    Clicks, comments, transactions, and physical movements are being increasingly recorded and analyzed by Big Data processors who use this information to trace the sentiment and activities of markets and voters. While the benefits of Big Data have received considerable attention, it is the potential social costs of practices associated with Big Data that are of interest to us in this paper. Prior research has investigated the impact of Big Data on individual privacy rights, however, there (...)
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  7. Readymades in the Social Sphere: an Interview with Daniel Peltz.Feliz Lucia Molina - 2013 - Continent 3 (1):17-24.
    Since 2008 I have been closely following the conceptual/performance/video work of Daniel Peltz. Gently rendered through media installation, ethnographic, and performance strategies, Peltz’s work reverently and warmly engages the inner workings of social systems, leaving elegant rips and tears in any given socio/cultural quilt. He engages readymades (of social and media constructions) and uses what are identified as interruptionist/interventionist strategies to disrupt parts of an existing social system, thus allowing for something other to emerge. Like the stereoscope (...)
     
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  8.  10
    Big Five Personality Traits Predict Successful Transitions From School to Vocational Education and Training: A Large-Scale Study.Désirée Nießen, Daniel Danner, Marion Spengler & Clemens M. Lechner - 2020 - Frontiers in Psychology 11:499880.
    Educational transitions play a pivotal role in shaping educational careers, and ultimately social inequality. Whereas parental socioeconomic status (SES) and cognitive ability have long been identified as key determinants of successful educational transitions, much less is known about the role of socio-emotional skills. To address this gap, the present study investigated whether Big Five personality traits predict success in the transition from secondary school to vocational education and training (VET) above and beyond SES, cognitive ability, and other covariates. Using (...)
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  9.  14
    One Social Media Company to Rule Them All: Associations Between Use of Facebook-Owned Social Media Platforms, Sociodemographic Characteristics, and the Big Five Personality Traits.Davide Marengo, Cornelia Sindermann, Jon D. Elhai & Christian Montag - 2020 - Frontiers in Psychology 11.
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  10. Data Capitalism: Redefining the Logics of Surveillance and Privacy.Sarah Myers West - 2019 - Business and Society 58 (1):20-41.
    This article provides a history of private sector tracking technologies, examining how the advent of commercial surveillance centered around a logic of data capitalism. Data capitalism is a system in which the commoditization of our data enables an asymmetric redistribution of power that is weighted toward the actors who have access and the capability to make sense of information. It is enacted through capitalism and justified by the association of networked technologies with the political and (...) benefits of online community, drawing upon narratives that foreground the social and political benefits of networked technologies. I examine its origins in the wake of the dotcom bubble, when technology makers sought to develop a new business model to support online commerce. By leveraging user data for advertising purposes, they contributed to an information environment in which every action leaves behind traces collected by companies for commercial purposes. Through analysis of primary source materials produced by technology makers, journalists, and business analysts, I examine the emergence of data capitalism between the mid-1990s and mid-2000s and its central role in the contemporary information economy. (shrink)
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  11.  51
    Towards a theoretical model of social media surveillance in contemporary society.Daniel Trottier & Christian Fuchs - 2015 - Communications 40 (1):113-135.
    Social media’ like Facebook or Twitter have become tremendously popular in recent years. Their popularity provides new opportunities for data collection by state and private companies, which requires a critical and theoretical focus on social media surveillance. The task of this paper is to outline a theoretical framework for defining social media surveillance in the context of contemporary society, identifying its principal characteristics, and understanding its broader societal implications. Social media surveillance is (...)
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  12.  9
    The Big Five and Big Two personality factors in Mongolia.Michael Minkov, Boris Sokolov, Marc Albert Tasse, Michael Schachner, Anneli Kaasa & Erdenebileg Jamballuu - 2022 - Frontiers in Psychology 13.
    Etic psychometric tools work less well in non-Western than in Western cultures, whereas data collected online in the former societies tend to be of superior quality to those from face-to-face interviews. This represents a challenge to the study of the universality of models of personality and other constructs. If one wishes to uncover the true structure of personality in a non-Western nation, should one study only highly educated, cognitively sophisticated Internet users, and exclude the rest? We used a different (...)
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  13.  40
    Internet surveillance after Snowden.Christian Fuchs & Daniel Trottier - 2017 - Journal of Information, Communication and Ethics in Society 15 (4):412-444.
    PurposeThis paper aims to present results of a study that focused on the question of how computer and data experts think about Internet and social media surveillance after Edward Snowden’s revelations about the existence of mass-surveillance systems of the Internet such as Prism, XKeyscore and Tempora. Computer and data experts’ views are of particular relevance because they are confronted day by day with questions about the processing of personal data, privacy and data protection.Design/methodology/approachThe (...)
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  14. Surveillance Capitalism: a Marx-inspired account.Nikhil Venkatesh - 2021 - Philosophy 96 (3):359-385..
    Some of the world's most powerful corporations practise what Shoshana Zuboff (2015; 2019) calls ‘surveillance capitalism’. The core of their business is harvesting, analysing and selling data about the people who use their products. In Zuboff's view, the first corporation to engage in surveillance capitalism was Google, followed by Facebook; recently, firms such as Microsoft and Amazon have pivoted towards such a model. In this paper, I suggest that Karl Marx's analysis of the relations between (...)
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  15.  16
    Known or knowing publics? Social media data mining and the question of public agency.Giles Moss & Helen Kennedy - 2015 - Big Data and Society 2 (2).
    New methods to analyse social media data provide a powerful way to know publics and capture what they say and do. At the same time, access to these methods is uneven, with corporations and governments tending to have best access to relevant data and analytics tools. Critics raise a number of concerns about the implications dominant uses of data mining and analytics may have for the public: they result in less privacy, more surveillance and (...) discrimination, and they provide new ways of controlling how publics come to be represented and so understood. In this paper, we consider if a different relationship between the public and data mining might be established, one in which publics might be said to have greater agency and reflexivity vis-à-vis data power. Drawing on growing calls for alternative data regimes and practices, we argue that to enable this different relationship, data mining and analytics need to be democratised in three ways: they should be subject to greater public supervision and regulation, available and accessible to all, and used to create not simply known but reflexive, active and knowing publics. We therefore imagine conditions in which data mining is not just used as a way to know publics, but can become a means for publics to know themselves. (shrink)
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  16.  34
    Emerging models of data governance in the age of datafication.Anna Berti Suman, Max Craglia, Marisa Ponti & Marina Micheli - 2020 - Big Data and Society 7 (2).
    The article examines four models of data governance emerging in the current platform society. While major attention is currently given to the dominant model of corporate platforms collecting and economically exploiting massive amounts of personal data, other actors, such as small businesses, public bodies and civic society, take also part in data governance. The article sheds light on four models emerging from the practices of these actors: data sharing pools, data cooperatives, public data (...)
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  17.  7
    How partners mediate platform power: Mapping business and data partnerships in the social media ecosystem.Anne Helmond & Fernando N. van der Vlist - 2021 - Big Data and Society 8 (1).
    Social media platforms’ digital advertising revenues depend considerably on partnerships. Business partnerships are endemic and essential to the business of platforms, yet their role remains relatively underexplored in the literature on platformisation and platform power. This article considers the significance of partnerships in the social media ecosystem to better understand how industry platforms, and the infrastructure they build, mediate and shape platform power and governance. We argue that partners contribute to ‘platformisation’ through their collective development of (...)
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  18.  81
    Relationship Between Problematic Social Media Usage and Employee Depression: A Moderated Mediation Model of Mindfulness and Fear of COVID-19.Mehwish Majeed, Muhammad Irshad, Tasneem Fatima, Jabran Khan & Muhammad Mubbashar Hassan - 2020 - Frontiers in Psychology 11.
    Social media plays a significant role in modern life, but excessive use of it during the COVID-19 pandemic has become a source of concern. Supported by the conservation of resources theory, the current study extends the literature on problematic social media usage during COVID-19 by investigating its association with emotional and mental health outcomes. In a moderated mediation model, this study proposes that problematic social media use by workers during COVID-19 is linked to fear of COVID-19, (...)
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  19.  26
    Cybersyn, big data, variety engineering and governance.Raul Espejo - 2022 - AI and Society 37 (3):1163-1177.
    This contribution offers reflections about Chilean Cybersyn, 50 years ago. In recent years, Cybersyn, has received significant attention. It was the brainchild of Stafford Beer, who conceived it to support the transformation of the Chilean economy from its bureaucratic history to hopefully create a vibrant and modern society, driven by cybernetic tools. These aspects have received much attention in recent times; however, in this contribution, I want to discuss how working in Cybersyn influenced my work after the coup of 1973. (...)
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  20.  34
    The Big Five and Organizational Virtue.Dennis J. Moberg - 1999 - Business Ethics Quarterly 9 (2):245-272.
    Abstract:Recent developments in personality research point to an alchemy of character composed of five elements: extroversion, agreeableness, conscientiousness, neuroticism, and openness to experience. This paper surveys this research for its implications to the study of the virtues in organizational ethics. After subjecting each of these five character traits to several tests as to what constitutes a virtue, the empirical evidence supports an organizational virtue of agreeableness and an organizational virtue of conscientiousness. Although the empirical evidence falls short, an argument is (...)
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  21.  10
    Research on Chinese Consumers’ Attitudes Analysis of Big-Data Driven Price Discrimination Based on Machine Learning.Jun Wang, Tao Shu, Wenjin Zhao & Jixian Zhou - 2022 - Frontiers in Psychology 12:803212.
    From the end of 2018 in China, the Big-data Driven Price Discrimination (BDPD) of online consumption raised public debate on social media. To study the consumers’ attitude about the BDPD, this study constructed a semantic recognition frame to deconstruct the Affection-Behavior-Cognition (ABC) consumer attitude theory using machine learning models inclusive of the Labeled Latent Dirichlet Allocation (LDA), Long Short-Term Memory (LSTM), and Snow Natural Language Processing (NLP), based on social media comments text dataset. Similar to the questionnaires (...)
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  22.  34
    The Big Five and Organizational Virtue.Dennis J. Moberg - 1999 - Business Ethics Quarterly 9 (2):245-272.
    Abstract:Recent developments in personality research point to an alchemy of character composed of five elements: extroversion, agreeableness, conscientiousness, neuroticism, and openness to experience. This paper surveys this research for its implications to the study of the virtues in organizational ethics. After subjecting each of these five character traits to several tests as to what constitutes a virtue, the empirical evidence supports an organizational virtue of agreeableness and an organizational virtue of conscientiousness. Although the empirical evidence falls short, an argument is (...)
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  23.  9
    Plastic surveillance: Payment cards and the history of transactional data, 1888 to present.Josh Lauer - 2020 - Big Data and Society 7 (1).
    Modern payment cards encompass a bewildering array of consumer technologies, from credit and debit cards to stored-value and loyalty cards. But what unites all of these financial media is their connection to recordkeeping systems. Each swipe sends data hurtling through invisible infrastructures to verify accounts, record purchase details, exchange funds, and update balances. With payment cards, banks and merchants have been able to amass vast archives of transactional data. This information is a valuable asset in itself. (...)
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  24.  12
    Ethical Considerations in the Application of Artificial Intelligence to Monitor Social Media for COVID-19 Data.Lidia Flores & Sean D. Young - 2022 - Minds and Machines 32 (4):759-768.
    The COVID-19 pandemic and its related policies (e.g., stay at home and social distancing orders) have increased people’s use of digital technology, such as social media. Researchers have, in turn, utilized artificial intelligence to analyze social media data for public health surveillance. For example, through machine learning and natural language processing, they have monitored social media data to examine public knowledge and behavior. This paper explores the ethical considerations of using artificial intelligence to (...)
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  25.  11
    Doing social media analytics.Timothy Cribbin, Julie Barnett & Phillip Brooker - 2016 - Big Data and Society 3 (2).
    In the few years since the advent of ‘Big Data’ research, social media analytics has begun to accumulate studies drawing on social media as a resource and tool for research work. Yet, there has been relatively little attention paid to the development of methodologies for handling this kind of data. The few works that exist in this area often reflect upon the implications of ‘grand’ social science methodological concepts for new social media research. By (...)
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  26.  11
    The Relationship Between Big Five Personality and Social Well-Being of Chinese Residents: The Mediating Effect of Social Support.Yanghang Yu, Yuanyuan Zhao, Dongyan Li, Jingqiu Zhang & Jiewei Li - 2021 - Frontiers in Psychology 11.
    Previous studies have noted that personality traits are important predictors of well-being, but how big five personality influences social well-being is still unknown. This study aims to examine the link between big five personality and five dimensions of social well-being in the Chinese cultural context and whether social support can play the mediating effect in the process. This study included 1,658 participants from different communities in China, and regression analyses were conducted. Results revealed that five personality traits (...)
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  27.  24
    Personal choices and situated data: Privacy negotiations and the acceptance of household Intelligent Personal Assistants.Anouk Mols & Jason Pridmore - 2020 - Big Data and Society 7 (1).
    The emergence of personal assistants in the form of smart speakers has begun to significantly alter people’s everyday experiences with technology. The rate at which household Intelligent Personal Assistants such as Amazon’s Echo and Google Home emerged in household spaces has been rapid. They have begun to move human–computer interaction from text-based to voice-activated input, offering a multiplicity of features through speech. The supporting infrastructure connects with artificial intelligence and the internet of things, allowing digital interfaces with domestic appliances, lighting (...)
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  28.  11
    Social media analytics and research testbed (SMART): Exploring spatiotemporal patterns of human dynamics with geo-targeted social media messages.Su-Yeon Han, Jean Mark Gawron, Brian H. Spitzberg, Christopher Allen, Chin-Te Jung, Ming-Hsiang Tsou & Jiue-An Yang - 2016 - Big Data and Society 3 (1).
    The multilevel model of meme diffusion conceptualizes how mediated messages diffuse over time and space. As a pilot application of implementing the meme diffusion, we developed the social media analytics and research testbed to monitor Twitter messages and track the diffusion of information in and across different cities and geographic regions. Social media analytics and research testbed is an online geo-targeted search and analytics tool, including an automatic data processing procedure at the backend and an interactive (...)
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  29.  11
    Big Five Personality, Academic Entrepreneurial Motivation, and Academic Entrepreneurial Intention: A Research Method Based on Fuzzy Set Qualitative Comparative Analysis.Yuying Zhang, Peng Wang & Yanzhi Zhao - 2022 - Frontiers in Psychology 12.
    Scholars are the main force behind academic entrepreneurship. The method of how to stimulate scholars’ academic entrepreneurial intention and how to further promote social and economic development are important questions for the academic community. Research on the “net effect” of the factors affecting academic entrepreneurial intention has achieved some theoretical results. However, the results that affect academic entrepreneurial intention are complex and not influenced by a single factor, but rather by the interaction between various factors. Therefore, this study used (...)
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  30.  7
    Personalization and probabilities: Impersonal propensities in online grocery shopping.Adrian Mackenzie - 2018 - Big Data and Society 5 (1).
    Accounts of big data practices often assume that they target individuals. Personalization, with all the risks of discrimination and bias it entails, has been the critical focus in accounts of consumption, government, social media, and health. This paper argues that personalization through models using large-scale data is part of a more expansive change in probabilization that, in principle, is not reducible to individual or ‘personal’ attributes and actions. It describes the ‘personalization’ of an online grocery shopping recommender (...)
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  31.  16
    A crisis that changed the banking scenario in India: exploring the role of ethics in business.Sushma Nayak & Jyoti Chandiramani - 2022 - Asian Journal of Business Ethics 11 (1):7-32.
    Digital business has marked an era of transformation, but also an unprecedented growth of cyber threats. While digital explosion witnessed by the banking sector since the COVID-19 pandemic has been significant, the level and frequency of cybercrimes have gone up as well. Cybercrime officials attribute it to remote working—people using home computers or laptops with vulnerable online security than office systems; malicious actors relentlessly developing their tactics to find new ways to break into enterprise networks and grasping defence evasion; (...)
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  32.  65
    Big Data and Personalized Pricing.Etye Steinberg - 2019 - Business Ethics Quarterly 30 (1):97-117.
    ABSTRACT:Technological advances introduce the possibility that, in the future, firms will be able to use big-data analysis to discover and offer consumers their individual reservation price. This can generate some interesting benefits, such as a better state of affairs in terms of equality of both welfare and resources, as well as increased social welfare. However, these benefits are countered by considerations of relational equality. This article takes up the market-failures approach as its basis to demonstrate what is wrong (...)
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  33.  8
    Unpacking the effects of personality traits on algorithmic awareness: The mediating role of previous knowledge and moderating role of internet use.Wei Fang & Jianbin Jin - 2022 - Frontiers in Psychology 13.
    The COVID-19 pandemic has accelerated the integration of algorithms in online platforms to facilitate people’s work and life. Algorithms are increasingly being utilized to tailor the selection and presentation of online content. Users’ awareness of algorithmic curation influences their ability to properly calibrate their reception of online content and interact with it accordingly. However, there has been a lack of research exploring the factors that contribute to users’ algorithmic awareness, especially in the roles of personality traits. In this study, we (...)
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  34.  40
    Airports as data filters: Converging surveillance systems after September 11th.David Lyon - 2003 - Journal of Information, Communication and Ethics in Society 1 (1):13-20.
    Airports are crucial channels of mobility for the global citizens of the twenty‐first century. They are points of entry and exit for tourists, business persons, workers, students and of course, for some refugees as well. The scale of operations is huge ‐ international passenger travel increased twelve‐fold in the second half of the twentieth century and the vast majority of this is accounted for in air travel. In the USA alone there are two million daily airtravelers on 20,000 flights. (...)
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  35.  8
    Customer Knowledge Management via Social Media: A Case Study of an Indian Retailer.Arunima Kambikanon Valacherry & Pakkeerappagari Pakkeerappa - 2018 - Journal of Human Values 24 (1):39-55.
    The socialization process in knowledge management has been in discussion for more than a decade, and most research has focused on socialization among employees in developing organizational knowledge. But this article tries to explore the socialization aspect in customer knowledge management in a customer-centric industry, retail using social media. The case study of a leading Indian retailer is implemented using netnography, a research technique that draws data from computer-mediated communication channels. The communications of the retailer to and from (...)
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  36.  36
    Unsupervised by any other name: Hidden layers of knowledge production in artificial intelligence on social media.Geoffrey C. Bowker & Anja Bechmann - 2019 - Big Data and Society 6 (1).
    Artificial Intelligence in the form of different machine learning models is applied to Big Data as a way to turn data into valuable knowledge. The rhetoric is that ensuing predictions work well—with a high degree of autonomy and automation. We argue that we need to analyze the process of applying machine learning in depth and highlight at what point human knowledge production takes place in seemingly autonomous work. This article reintroduces classification theory as an important framework for understanding (...)
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  37. clicktatorship and democrazy: Social media and political campaigning.Martin A. M. Gansinger & Ayman Kole - 2018 - In M. A. M. Gansinger & Ayman Kole (eds.), Vortex of the Web. Potentials of the online environment. Hamburg: pp. 15-40.
    This chapter aims to direct attention to the political dimension of the social media age. Although current events like the Cambridge Analytica data breach managed to raise awareness for the issue, the systematically organized and orchestrated mechanisms at play still remain oblivious to most. Next to dangerous monopoly-tendencies among the powerful players on the market, reliance on automated algorithms in dealing with content seems to enable large-scale manipulation that is applied for economical and political purposes alike. The successful (...)
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  38.  11
    Navigating Big Data dilemmas: Feminist holistic reflexivity in social media research.Danielle J. Corple, Jasmine R. Linabary & Cheryl Cooky - 2018 - Big Data and Society 5 (2).
    Social media offers an attractive site for Big Data research. Access to big social media data, however, is controlled by companies that privilege corporate, governmental, and private research firms. Additionally, Institutional Review Boards’ regulative practices and slow adaptation to emerging ethical dilemmas in online contexts creates challenges for Big Data researchers. We examine these challenges in the context of a feminist qualitative Big Data analysis of the hashtag event #WhyIStayed. We argue power, context, and (...)
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  39.  20
    Children’s digital playgrounds as data assemblages: Problematics of privacy, personalization, and promotional culture.Leslie Regan Shade & Karen Louise Smith - 2018 - Big Data and Society 5 (2).
    Children’s digital playgrounds have evolved from commercialized digital spaces such as websites and games to include an array of convergent digital media consisting of social media platforms, mobile apps, and the internet of toys. In these digital spaces, children’s data is shared with companies for analytics, personalization, and advertising. This article describes children’s digital playgrounds as a data assemblage involving commercial surveillance of children, ages 3–12. The privacy sweep is used as a method to follow the (...)
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  40.  25
    Community perspectives on the benefits and risks of technologically enhanced communicable disease surveillance systems: a report on four community juries.Chris Degeling, Stacy M. Carter, Antoine M. van Oijen, Jeremy McAnulty, Vitali Sintchenko, Annette Braunack-Mayer, Trent Yarwood, Jane Johnson & Gwendolyn L. Gilbert - 2020 - BMC Medical Ethics 21 (1):1-14.
    Background Outbreaks of infectious disease cause serious and costly health and social problems. Two new technologies – pathogen whole genome sequencing and Big Data analytics – promise to improve our capacity to detect and control outbreaks earlier, saving lives and resources. However, routinely using these technologies to capture more detailed and specific personal information could be perceived as intrusive and a threat to privacy. Method Four community juries were convened in two demographically different Sydney municipalities and two regional (...)
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  41.  7
    Social determinants of health in the Big Data mode of population health risk calculation.Rachel Rowe - 2021 - Big Data and Society 8 (2).
    Amidst the climate of crisis surrounding the rise in opioid-related overdose in the USA, early in 2019, Google and Deloitte launched ‘Opioid360’. Here came a platform combining browser histories, credit, insurance, social media, and traditional survey data to sell the service of risk calculation in population health. Opioid360's approach to automating risk calculation not only promised to identify persons ‘at risk’ of opioid dependence, but also paved the way for broader applications anticipating common chronic diseases and coordinating logistical (...)
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  42.  8
    The relationship between Big Five Personality Traits, eating habits, physical activity, and obesity in Indonesia based on analysis of the 5th wave Indonesia Family Life Survey.Greena Pristyna, Trias Mahmudiono, Mahmud A. Rifqi & Diah Indriani - 2022 - Frontiers in Psychology 13.
    This study investigated the association between Big Five Personality Traits and nutrition-related variables. We used secondary data from the Indonesia Family Life Survey wave 5 involving a total of 14,473 men and 16,467 women aged 15−101 years in Indonesia that was selected by stratified random sampling conducted in the period 2014 to 2015. Data were collected through interviews with the Big Five Index 15 and a questionnaire similar to the Global Physical Activity Questionnaire which was translated into the (...)
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  43. The AI Human Condition is a Dilemma between Authenticity and Freedom.James Brusseau - manuscript
    Big data and predictive analytics applied to economic life is forcing individuals to choose between authenticity and freedom. The fact of the choice cuts philosophy away from the traditional understanding of the two values as entwined. This essay describes why the split is happening, how new conceptions of authenticity and freedom are rising, and the human experience of the dilemma between them. Also, this essay participates in recent philosophical intersections with Shoshana Zuboff’s work on surveillance capitalism, but the (...)
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  44.  22
    Addressing bias in artificial intelligence for public health surveillance.Lidia Flores, Seungjun Kim & Sean D. Young - 2024 - Journal of Medical Ethics 50 (3):190-194.
    Components of artificial intelligence (AI) for analysing social big data, such as natural language processing (NLP) algorithms, have improved the timeliness and robustness of health data. NLP techniques have been implemented to analyse large volumes of text from social media platforms to gain insights on disease symptoms, understand barriers to care and predict disease outbreaks. However, AI-based decisions may contain biases that could misrepresent populations, skew results or lead to errors. Bias, within the scope of this (...)
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  45.  6
    New geographies of platform capitalism: The case of digital monopolization in Turkey.Melih Yeşilbağ - 2022 - Big Data and Society 9 (2).
    The rise of digital platforms is growingly acknowledged as a pivotal characteristic of contemporary capitalism. A subset of the literature on digital platforms scrutinized the political economy of platform companies, their data-driven business models along with the economic, social, and political consequences of platformization. Yet, this strand has been overwhelmingly interested in Big Tech companies in the United States and China. In this article, I aim to expand the geographical span of this emerging literature by scrutinizing platformization (...)
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  46.  11
    Impact of emotional intelligence and personality traits on managing team performance in virtual interface.Susan Murmu & Netra Neelam - 2022 - Asian Journal of Business Ethics 11 (1):33-53.
    This research paper explores the implications of emotional intelligence and the Big Five personality model on virtual team effectiveness. It illustrates how emotional intelligence and Big Five personality traits help team members better understand interpersonal relationships and develop constructive virtual teams. The widespread use of virtual team meetings for collaborative work over in-person interaction with diverse personalities creates discord and trust among team members, limiting overall productivity. A quantitative analysis approach is used, with hypotheses tested and a series of (...)
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  47.  11
    Social media and the social sciences: How researchers employ Big Data analytics.Mylynn Felt - 2016 - Big Data and Society 3 (1).
    Social media posts are full of potential for data mining and analysis. Recognizing this potential, platform providers increasingly restrict free access to such data. This shift provides new challenges for social scientists and other non-profit researchers who seek to analyze public posts with a purpose of better understanding human interaction and improving the human condition. This paper seeks to outline some of the recent changes in social media data analysis, with a focus on Twitter, (...)
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  48.  32
    ‘Consuming Good’ on Social Media: What Can Conspicuous Virtue Signalling on Facebook Tell Us About Prosocial and Unethical Intentions?Elaine Wallace, Isabel Buil & Leslie de Chernatony - 2020 - Journal of Business Ethics 162 (3):577-592.
    Mentioning products or brands on Facebook enables individuals to display an ideal self to others through a form of virtual conspicuous consumption. Drawing on conspicuous donation behaviour literature, we investigate ‘conspicuous virtue signalling’, as conspicuous consumption on Facebook. CVS occurs when an individual mentions a charity on their Facebook profile. We investigate need for uniqueness and attention to social comparison information as antecedents of two types of CVS–self-oriented and other-oriented. We also explore the relationship between CVS and self-esteem, and (...)
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  49.  20
    Review of Humans and Machines at Work: Monitoring, Surveillance, and Automation in Contemporary Capitalism by Phoebe V. Moore, Martin Upchurch, and Xanthe Whittaker. [REVIEW]Swatee B. Kulkarni - 2020 - Journal of Business Ethics 161 (1):237-241.
    This book is a collection of essays written by various authors including the editors of the collection, Phoebe V. Moore, Martin Upchurch, and Xanthe Whittaker. These essays deal with the current topics of monitoring of workers in the new gig economy, digitalization of the work, and use of big data for the restructuring of the workforce. This book examines how new forms of surveillance are being adopted into contemporary work. It draws from original empirical research engaging with existing (...)
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  50.  9
    Review of Humans and Machines at Work: Monitoring, Surveillance, and Automation in Contemporary Capitalism by Phoebe V. Moore, Martin Upchurch, and Xanthe Whittaker. [REVIEW]Swatee B. Kulkarni - 2020 - Journal of Business Ethics 161 (1):237-241.
    This book is a collection of essays written by various authors including the editors of the collection, Phoebe V. Moore, Martin Upchurch, and Xanthe Whittaker. These essays deal with the current topics of monitoring of workers in the new gig economy, digitalization of the work, and use of big data for the restructuring of the workforce. This book examines how new forms of surveillance are being adopted into contemporary work. It draws from original empirical research engaging with existing (...)
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