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Picture in online customer reviews conveys detailed product information to help potential customers make purchase decisions, which is an important form of digital data. Therefore, understanding the predictors of picture sharing in online customer reviews is crucial for retail businesses to achieve digital transformation strategies for competitive advantage, high quality service and sustainable performance. By analyzing 6211 online customer reviews of 16 products crawled from the famous online shopping site JD.com in China, this study tests the effects of reviewer rank (who), product type (what), time interval (when), review device (where), consumption satisfaction (why), and the level of involvement (how) on whether customers sharing picture and picture count in online customer reviews based on the 5W1H analysis framework. The results show that: (1) with or without picture and picture count both influence the helpfulness of online customer reviews; (2) product type, time interval, review device, consumption satisfaction and the level of involvement significantly affect whether consumers share picture; and (3) review device, consumption satisfaction and the level of involvement significantly affect picture count. The findings can help managers manage picture reviews to improve business performance.

ObjectivePeople adjusting to living with a chronic disability, such as chronic pain, seek support and resources from societal systems, including health systems, to help them cope with this reality. This case study describes the use of a digital health platform designed to help in that quest.MethodMyHealthMyRecord (MHMR), is being developed to record, register and curate personal private experiences of a chronic condition. MHMR allows users to record and log short (30–90s) personal and private audio-videos of their accommodation-seeking journey in a way that can be encrypted, registered, curated and shared privately. This case study describes the use of a prototype version of the platform by a participant co-designer who experienced a sudden onset of a chronic pain condition, of undetermined origin. System use began three months after the onset of the condition and just after being discharged from several months of hospitalization without any definitive diagnosis.ResultDuring a three-month period, 65 short unstructured contributions were authored and logged. This paper presents a qualitative analysis of that content. The clips used various communication styles that documented experiences, concerns, issues, positive and negative interactions and pain episodes. Using thematic analysis with open coding, three domains (person-facing, accessibility and system-facing) and eight themes (pain, joy, therapy, environmental, recommendations, technical, culture and communication) were identified. Comments about pain, stress, etc., were the most common and occurred in 75% of all videos while technical and therapy/physio related comments were the fewest and occurred in 3 and 9% of the videos, respectively.ConclusionWe conclude that it is possible to create recordings of events, thoughts, reflections and issues on different aspects affecting an individual's health and well-being impact, including effects of the chronic condition as well as tangential outcomes such as accessibility (or lack of it), using MHMR over a longer period of time. The next steps will be to develop functionality to annotate the recordings, automatically analyze and summarize collections of recordings to make them consumable, useful and understandable to the individual and others, and then to share those analyses and summaries with others. In addition, evaluate this functionality longitudinally with more users.

Abstract Online wildlife trade is widespread and affects thousands of species. Yet, attempts to quantify online wildlife trade have mainly focused on a few platforms and taxonomic groups. Here, we study the prevalence of wildlife trade using automated data collection and filtering methods. We analyze trade across five digital platforms and 156 animal and plant species of conservation concern from a global biodiversity hotspot, the Philippines. We identified approximately 5000 highly relevant instances of trade in 1.47 million posts, focusing on 108 species, 79 of which are classified as threatened. Trade mainly occurred on webpages indexed in Google and on Twitter. We found that manual validation is essential, as animals obtained a higher proportion of hits prior to validation. Following manual validation, we observed a shift toward plant‐related trade hits. Scaling up these approaches to a global level is key to understanding the extent of digital wildlife trade across the globe.

Since the advent of digital tools, educational institutions, especially in higher education, have integrated various digital platforms for education such as Learning Management Systems (LMS), cloud computing, and multimedia servers, among others. The COVID-19 pandemic has further accelerated the adoption of these technologies, leading to an increase in the ecological and digital footprint associated with this digital transformation. The intensive use of virtual classrooms during the pandemic has resulted in a rise in carbon emissions, and this tension between innovation and ecological impact remains a continuous challenge. The utilization of digital technologies in education also highlights the need to address social inequalities in digital skills and work on them for all citizens. The mission of a digital coordinator within a university department aims to provide support to both teachers and learners in order to foster the emergence of responsible digital behaviors. This endeavor will require long-term planning and a shift in existing practices, with an emphasis on the development of sustainable and environmentally friendly practices. Overall, a concerted effort is crucial to nurture digital skills that are both effective and sustainable.

Using traces of behaviors to predict outcomes is useful in varied contexts ranging from buyer behaviors to behaviors collected from smart-home devices. Increasingly, higher education systems have been using Learning Management System (LMS) digital data to capture and understand students' learning and well-being. Researchers in the social sciences are increasingly interested in the potential of using digital log data to predict outcomes and design interventions. Using LMS data for predicting the likelihood of students' success in for-credit college courses provides a useful example of how social scientists can use these techniques on a variety of data types. Here, we provide a primer on how LMS data can be feature-mapped and analyzed to accomplish these goals. We begin with a literature review summarizing current approaches to analyzing LMS data, then discuss ethical issues of privacy when using demographic data and equitable model building. In the second part of the paper, we provide an overview of popular machine learning algorithms and review analytic considerations such as feature generation, assessment of model performance, and sampling techniques. Finally, we conclude with an empirical example demonstrating the ability of LMS data to predict student success, summarizing important features and assessing model performance across different model specifications. [ABSTRACT FROM AUTHOR]

The nature of farming is – still – an essentially biological, and thus volatile, system, which poses substantial challenges to its integration into financialized capitalism. Financial investors often seek stability and predictability of returns that are hardly compatible with agriculture – but which are increasingly seen as achievable through data and digital farming technologies. This paper investigates how farmland investment brokers engage with, perceive, and produce farming data for their investors within a co-constructive process. Tackling land's 'stubborn materiality' for investment, I argue, has material and immaterial components: it includes the re-imagination of farming as a financial asset that delivers reliable income streams for investors; and the re-engineering of farmland's concrete materialities with digital farming technologies. Farmland investment brokers develop investor-suitable farmland imaginaries, underpinned by storytelling as well as the calculative 'evidence' of (digital) data. At the same time, digital technologies have become a key tool for transforming farms into 'investment grade assets' endowed with the rich data on farm performance and financial returns requested by investors. I conclude that the assetization and digitization of farmland need to be seen as closely intertwined and mutually reinforcing processes and identify key areas for future research on this intersection. [ABSTRACT FROM AUTHOR]

Copyright of Revista del Museo de Antropología is the property of Museo de Antropologia - IDACOR and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Cloud computing has gained considerable attention in academia and industry in recent years. The cloud facilitates data sharing and enables cost efficiency, thus playing a vital role today as well as for the foreseeable future. In this paper, a brief discussion the application of multi-tenant and load-balancing technologies to cloudbased digital resource sharing suitable for academic and digital libraries is presented. As a new paradigm for digital resource sharing, a proposal of improving the current user service model with private cloud storage for other sectors, including the medical and financial fields is offered. This paper gives a summary of cloud computing and its possible applications, combined with digital data optimisation for web-based services. This study could aid in identification and generation of cloud-based services that use multi-tenant and load-balancing methodologies for the best quality of service. [ABSTRACT FROM AUTHOR]

Copyright of Revista de Direito Internacional is the property of Revista de Direito Internacional and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Digital data infrastructures act as mediating technologies that shape and manipulate flows and visibilities. Focusing on the case of the Indian digital ID Aadhaar, this article proposes a theory of mediation as a conceptual framework for understanding the role of digital technology in projects for datafication of state governance and national economy. In 2016, the Indian biometric ID Aadhaar was instrumentalised in a nation-wide move towards digital monetary transfers, a campaign launched under the banner of 'demonetisation'. The digital state ID was integrated into Know Your Customer (KYC) systems of financial identification complicating government practices of recording and subjectivation. This process, during which government discourse explicitly drew parallels between political subjectivation and financial control, indicates the growing significance of the digital medium in shaping the relationship between states and their subjects. The notion of mediation proposed here addresses the mutual articulation between monetary transfers, practices of government recording and data valorisation in a context where state projects for digitalisation are increasingly integrated in global digital networks and data platforms. [ABSTRACT FROM AUTHOR]

Big Data in recent years have become a source of information about the state of development of economic processes and systems. With proper analysis and interpretation, Big Data can be used to support management decision-making and development of a company's or organization's strategy. For the in-depth study of the chosen topic, more than 40 sources of scientific literature were studied, which made it possible to evaluate both the theoretical aspects of Big Data development and the practical possibilities of implementing big data in the development of modern business. In view of this, the purpose of the research is to determine the features of using Big Data to optimize economic processes in the digital age, taking into account the potential opportunities for analyzing large data sets. To achieve the goal, both general scientific methods (analysis, synthesis, induction, deduction) and special methods of statistical data analysis and forecasting using built-in Microsoft Excel algorithms were used. As a result of conducting research and analysis of statistical material, it has been proven that the significance of Big Data will increase over time, and new opportunities for using this type of information will open up for companies. The scientific novelty of the work consists in defining a wide range of opportunities and prerequisites for using Big Data to support approved management decisions for tactical and strategic business development. The use of Big Data will create prerequisites for more active and stable development for business, as it will allow a more systematic and balanced approach to the analysis of various types of data on the state of the external and internal environment of the business, to determine potential development opportunities and directions of strategic promotion in the market. [ABSTRACT FROM AUTHOR]

Copyright of China Journal of Social Work is the property of Routledge and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

DNA has emerged as a promising medium for digital data storage because of its high density, longevity, as well as energy efficiency. However, the security provided by DNA storage systems remains a concern, particularly as the technology is adopted for sensitive data applications. DNA encryption offers a potential solution to this problem by encoding the stored data in a secure and reversible manner. In this paper, a new DNA encryption for storage applications by editing or creating a new DNA sequence to store big data for archival purposes in an encrypted format to provide security, is proposed. It is concluded that DNA encryption is a promising approach for securing digital data in DNA storage systems, and there is requirement for further research to optimize the performance and reliability of this technology. [ABSTRACT FROM AUTHOR]

Research discusses one of the constitutional amendments of 2020. In accordance with the new version of paragraph “m” of Part 1 of Article 71 of the Constitution of the Russian Federation, the exclusive powers of the Russian Federation include issues of ensuring the security of the individual, society and the state when applying information technologies, and digital data turnover. The consolidation of the problem of information security at the constitutional level determines the need for a partial modernization of its theoretical model. Modification and revision of some of its components will lead to higher effectiveness of constitutional regulation and improve the quality of application of industry legislation in the field of information technology and information protection. The purpose of the research is to investigate the main directions of enhancing the theoretical model of information security in terms of constitutional changes. The employed research methods are formal-legal, logical, system, statistical, structural-functional, modeling, and forecasting. The outcome of the study can be outlined as follows. The research clarifies the concept of information security, proposes to generalize the range of basic subjects of public relations related to information security, expand their rights and obligations, highlight the constitutional and sectoral legal regimes of information protection, and strengthen responsibility for offenses in the information sphere. In conclusion the study argues that updating the theoretical model of information security of the Russian Federation should be carried out in the following key areas: firstly, developing information security targets expressed in strategic and program documents of the state; secondly, clarifying classification of information security threats; thirdly, expanding legal regulation density; fourth, strengthening the law-enforcement mechanisms of information security; fifth, establising and maintening optimal balance between legal, technical and ethical regulation of information technologies, primarily digital technologies; and finally, definiing acceptable and unacceptable boundaries of application of information technology and digital data in people's lives.

The paper investigates if and how mobile phone data can help to describe the complexity of urban phenomena, highlighting the challenges faced by researchers integrating mobile phone data into their activities. Two perspectives are offered: the first is a reflection on the features of these data collected anonymously by mobile phone users, as a condition for understanding its potentialities and limits for the analysis, visualization, and interpretation of people’s presence and movements in urban spaces (research on mobile phone data). The second perspective focuses on the uses of mobile phone data in spatial research, starting from the outcomes described in this special issue and highlighting the potentialities and limits of these data in facing several research questions in urban studies (research with mobile phone data).

Purpose: The Alabama Department of Public Health (ADPH) sponsored a TikTok contest to improve vaccination rates among young people. This analysis sought to advance understanding of COVID-19 vaccine perceptions among ADPH contestants and TikTok commenters. Approach: This exploratory content analysis characterized sentiment and imagery in the TikTok videos and comments. Videos were coded by two reviewers and engagement metrics were collected for each video. Setting: Publicly available TikTok videos entered into ADPH's contest with the hashtags #getvaccinatedAL and #ADPH between July 16 – August 6, 2021. Participants: ADPH contestants (n = 44) and TikTok comments (n = 502). Method: A content analysis was conducted; videos were coded by two reviewers and engagement metrics was collected for each video (e.g., reason for vaccination, content, type of vaccination received). Video comments were analyzed using VADER, a lexicon and rule-based sentiment analysis tool). Results: Of 44 videos tagged with #getvaccinatedAL and #ADPH, 37 were related to the contest. Of the 37 videos, most cited family/friends and civic duty as their reason to get the COVID-19 vaccine. Videos were shared an average of 9 times and viewed 977 times. 70% of videos had comments, ranging from 0-61 (mean 44). Words used most in positively coded comments included, "beautiful," "smiling face emoji with 3 hearts," "masks," and "good.;" whereas words used most in negatively coded comments included "baby," "me," "chips," and "cold." Conclusion: Understanding COVID-19 vaccine sentiment expressed on social media platforms like TikTok can be a powerful tool and resource for public health messaging. [ABSTRACT FROM AUTHOR]

Purpose: To describe a novel, noninvasive, intraoral optical scanning--based approach for characterising the buccolingual profile of peri-implant tissues using a 3D surface defect map. Materials and methods: Intraoral optical scans of 20 isolated dental implants with peri-implant soft tissue dehiscence in 20 subjects were captured. The digital models were then imported into image analysis software, where an examiner (LM) performed a 3D surface defect map analysis characterising the buccolingual profile of the peri-implant tissues in respect to the adjacent teeth. Ten linear divergence points that were 0.5 mm apart in a corono-apical direction were identified at the mid facial aspect of the implants. Based on these points, the implants were grouped into three different buccolingual profiles. Results: The method for creating the 3D surface defect map of isolated implant sites was outlined. Eight implants displayed pattern 1 (coronal profile of peri-implant tissues more lingual/palatal than their apical portion), six implants exhibited pattern 2 (opposite of pattern 1) and six sites showed pattern 3 (relatively uniform and "flat"). Conclusions: A novel method for assessing the buccolingual profile/position of peri-implant tissues using a single intraoral digital impression was proposed. The 3D surface defect map visualises the volumetric differences in the region of interest compared to the adjacent sites, allowing for objective quantification and reporting of profile/ridge deficiencies of isolated sites. [ABSTRACT FROM AUTHOR]

As the digital workplace becomes more prevalent, organizations are faced with the challenge of balancing security and information management. On one hand, there is a need to protect sensitive data and prevent cyberattacks, while on the other hand, organizations must enable employees to collaborate and share information effectively. Machine learning (ML) is a promising technology that can help organizations address this challenge. By analyzing data patterns and identifying potential security threats, ML algorithms can enhance security measures and mitigate risks. At the same time, ML can also facilitate information management by automating routine tasks and improving the accuracy of data analysis. In this paper, we explore the role of ML in balancing security and information management in the digital workplace. We propose a hybrid ML model that integrates autoencoder and convolutional subnetworks in unified architecture to help capturing and security threats in the digital workplace, without compromising the information management tasks. We also present a case study of a real-world implementation of ML in a digital workplace setting, highlighting the benefits and limitations of this approach. Our findings suggest that ML can be a valuable tool for achieving a balance between security and information management in the digital workplace, but its successful implementation requires careful consideration of organizational context and stakeholder needs. [ABSTRACT FROM AUTHOR]

Dealing with various aspects of archaeological research typically results in diverse and often very large datasets and, over the last few decades, primarily in a born-digital format. These data may be produced in many ways, but when we refer to archaeological data, we typically mean the primary data collected during various forms of archaeological fieldwork. Such data represent the primary information about fieldwork procedures and original archaeological contexts, while in the case of archaeological excavation, it serves as the sole remaining evidence of the contextual significance of archaeological features and finds. Therefore, it holds immense importance for archaeological heritage, and undoubtedly, the procedures for data archiving become the most vital prerequisite for its long-term preservation. In Croatia, the legal framework for managing cultural heritage is defined by the Act on the Protection and Preservation of Cultural Objects. Simultaneously, archaeological activities are governed by the Ordinance on Archaeological Research, which, together with the Act on Museums, also regulates the archiving of field documentation. These regulations stipulate that, in addition to archaeological finds, fieldwork documentation must be submitted to a competent public museum institution. Consequently, museums bear legal responsibility for the archaeological documentation and its archiving. While Croatian museums have established long-standing and standardising procedures for collecting data on museum objects, no standards or guidelines have ever been established for archiving datasets created during archaeological fieldwork. Given the absence of a national digital data archiving system for archaeology, this article focuses on considering the factors necessary to establish an appropriate infrastructure for digital data archiving in Croatia.

As the effects of climate change increase, distributional range shifts of species are also expected to be magnified, necessitating a better understanding of their social-ecological implications for the adaptive management of fisheries and biodiversity conservation. In this paper, we focused on the human dimensions of recreational fisheries in the context of an ongoing distributional range shift of a target species. Specifically, we mined data on YouTube from recreational anglers and spearfishers targeting the white grouper ( Epinephelus aeneus ), a species expanding northwards in the northwestern Mediterranean Sea (Italy, France, and Spain). We retrieved 453 videos from Italy and Spain. We analyzed the social engagement of the videos (i.e., number of views, likes, and comments) and applied sentiment analysis to all the comments posted on these videos. Results showed that social engagement is overall higher for spearfishers than anglers. We documented an overall positive polarity and positive emotions in the comments of the posted videos, but specific negative polarity and negative emotions were more common in angling videos than in spearfishing ones. Most importantly, we detected a significant positive correlation between the emotions of joy and surprise and the latitude at which white grouper was caught. This result suggests that recreational fishers may respond to the arrival of the white grouper by showing more joy and surprise at higher latitudes where the species is rare than at lower latitudes where the species is common. Our study illustrates how digital data from social media can be used to monitor social-ecological interactions, such as tracking species distributional range shifts and the human responses to them, with potential management implications. Specifically, these results may be informative to adapt necessary tailored-management actions by improving engagement with fishers and enhancing more effective communication strategies, finally evoking environmental stewardship.

Urban agglomerations are constantly and rapidly evolving ecosystems, with globalization and increasing urbanization posing new challenges in sustainable urban development well summarized in the United Nations' Sustainable Development Goals (SDGs). The advent of the digital age generated by modern alternative data sources provides new tools to tackle these challenges with spatio-temporal scales that were previously unavailable with census statistics. In this review, we present how new digital data sources are employed to provide data-driven insights to study and track (i) urban crime and public safety; (ii) socioeconomic inequalities and segregation; and (iii) public health, with a particular focus on the city scale.

This article presents a scoping review of the existing research on the use of digital data in social work. This review focuses on research that includes empirical investigations of digital data on citizens in social work practices. The purpose of this review is to map the emerging field of research and contribute knowledge of the role of digital data on citizens in social work. This review includes twenty-eight articles published between 2013 and 2020, and concludes that data pervade almost every aspect of social work and that there is a variety of research on the use of data in social work. However, detailed analyses of data that describe and conceptualise the production, circulation and utilisation of data are few. In consequence, this article introduces and discusses concepts from other data-laden fields of research, and calls for further research that addresses the challenges presented by digital data used in social work. [ABSTRACT FROM AUTHOR]

In the 1950s, the Soviet Union expanded the range of its fisheries operations into international water traditionally fished by American vessels. In the USA, government officials and fisheries experts alike expressed concerns that the Soviets were overfishing Atlantic stocks, or even potentially engaging in off-shore espionage. Despite these fears, members of the US fisheries management community reached out and engaged with their Soviet counterparts directly. This initial communication led to a series of collaborations between US and Soviet scientific agencies aimed at developing a deeper understanding of marine ecosystems and improving the sustainability of international fisheries. The joint US–USSR research efforts beginning in the 1960s laid the foundation for continued cooperative studies through the 1980s and into the post-Soviet era. This paper uses historical records from the US National Archives and data products currently available on the web to examine the legacy of this Cold War cooperative research program. These materials demonstrate how American and Soviet scientists collaborated to generate and describe data on fisheries. It also considers how they negotiated recordkeeping and data management activities across radically different governmental structures, while also navigating the transition to digital recordkeeping and data exchange. This case offers perspective on the preservation of at-risk ecological records and the continued value of these data in our contemporary world. [ABSTRACT FROM AUTHOR]

The purpose of this work is to renew the interest and attention for the chain of custody in forensic medicine, its establishment and maintenance, protecting the integrity and validity of evidence as well as to analyze how over time the establishment of the chain of custody and the collection of evidence has evolved also in function of the advent of technology and the use of electronic devices connected to the network. The analysis of the various aspects of the chain of custody demonstrates how necessary it is for the professional figures involved in the phases of the investigation (especially those who manage the evidence and who have, therefore, designated the assignment) to know the procedures to follow, trace the movement and the handling of objects subjected to seizure, also for the purposes of toxicological and/or histological investigations. The knowledge of interferences or complications helps to reduce errors and safeguard the validity of the evidence, assuring the proceeding judicial authority that the evidence is authentic and that it is, in other words, the same evidence seized at the scene of the crime. Furthermore, the issue is particularly felt today, with the recent need to guarantee the originality of digital data. Following a careful review and analysis of the literature currently available in this regard, it is worth adding that further efforts are needed to formulate internationally validated guidelines, harmonizing the different reference criteria in forensic science and medical areas, given the current absence of good international practices valid in the field and applicable both in the case of physical evidence and in the case of seizure of digital evidence. [ABSTRACT FROM AUTHOR]

Amid the ongoing pandemic and the so-called 'New Cold War,' physical mobility dwindles and political paranoia surges. China has been increasingly portrayed as a 'black box' in anglophone discourse, scholarly and popular alike. More than ever, digital platforms serve as the sites and means to know 'the Chinese reality.' In this paper, we mobilize insights from Science and Technology Studies (STS), especially its epistemological and ontological reflections on the 'black box' metaphor, to confront the ongoing 'blackboxing' of China and, in tandem, the embrace of digital platform data as 'open source' to penetrate China from afar. Foregrounding the role of technological infrastructures, research positionality, and power relations in knowledge production, we situate this phenomenon in broader shifts in geopolitics and academic ecology. We then suggest alternative routes for empirical investigation: (1) to reembed Chinese platform data in their sociotechnical contexts, (2) to approach a 'networked China' at and across different scales, and relatedly, (3) to attune to obscured positionalities in fieldwork and analysis. Ultimately, we urge communities of China researchers to attend to the politics and materiality of knowledge production and resist the pervading 'New Cold War' framing. [ABSTRACT FROM AUTHOR]

The handling of a tunnel construction project poses great challenges for all those involved. Variables that cannot be clearly quantified can arise during the entire process of the project. The subsoil in tunnelling is one of these parameters which is difficult to forecast. The geological and hydrogeological conditions must be assessed during the planning phase with the help of exploratory measures and from the experience from projects that have already been built. During the execution work, deviations from the documents on which the target determination is based occur in almost all underground construction projects. These changes can either cause a change in the construction process and/or lead to a different construction time in relation to the calculated duration. Based on this initial situation, the development of an innovative contract and remuneration model for machine tunnelling appears to be important. The main focus of the model is to generate a transparent and comprehensible method of how the remuneration‐worthy portion can be calculated in the case of a different construction time in mechanised tunnelling. In order to ensure this transparency and traceability of the system to be developed, the data records that can be digitally recorded during the tunnelling work are used as a fundamental basis for the created model. [ABSTRACT FROM AUTHOR]

How is the ongoing "datafication" in society experienced by consumers? Critical discussions regarding the impact of datafication on consumers seldom study consumers' actual experiences. Conversely, the studies that do exist of consumers and their experiences of datafication tend to take an individualistic approach, arguing that how consumers experience and respond to the ongoing datafication is the result of their individual psychological make-up or the result of processes of cost–benefit calculations. Against that background, this article will instead show that the ways in which consumers experience and respond to datafication is linked to a number of broader sociotechnical imaginaries. Based on in-depth user interviews and drawing on previous work on sociotechnical imaginaries, this article develops an analysis of consumers' multiple imaginaries of data collection practices. Findings show that how consumers approach data collection operations is shaped by sociotechnical imaginaries that were both individually and collectively performed by consumers interacting with and using data-collecting devices. [ABSTRACT FROM AUTHOR]

THE AIMS OF THE PAPER This paper explores digital data exploitation behaviours and shows how these conducts change according to the data sources used by agri-food firms when developing their products. METHODOLOGY We adopt an exploratory multiple-case study to provide a theoretical framework for agri-food firms utilising digital data for product development. MOST IMPORTANT RESULTS The article shows two prominent firms' behaviours that we labelled data explorers and data receivers and a third behaviour which is a combination of the main ones. RECOMMENDATIONS This article offers guidelines to support agri-food firms to distinguish how such firms may benefit from the digital transformation by gaining competitiveness improving production efficiency and supporting the development of their products. [ABSTRACT FROM AUTHOR]

Drawing from feminist contributions in data studies and pedagogy, this article develops the notion of data-caring as an ethico-political intervention. It interrogates the way the 'digital architecture of neoliberalism' reduces the complexity of social relations and looks at the absence of conversations and narratives. Against the background of political polarization in Brazil, the article discusses how datafying practices in the digital world enact categories that identify Self and Other without context or complexity. In opposition, data-caring is based on the understanding that the kind of dialogue necessary to live together in polarized times requires conversations that can decompress narrative arcs. As we approach new elections, I detail the experience of teaching an experimental course after the 2018 elections in Brazil and offer insights about what constituted an exploratory study in data-caring, where we explored how we can care about data, care with data and datafy with care. [ABSTRACT FROM AUTHOR]

This article focuses on the control of international mobility through the gathering, processing, and sharing of air travellers' data. While a lot has been written about pre-emptive rationalities of security translated into the functionalities of IT systems used for border controls, we take a step further and investigate how these rationalities are operationalised through data transfer, screening, validation, discarding, profiling, contextualisation, calibration, and adjustment practices. These practices may seem banal and technical; however, we demonstrate how they matter politically as they underpin the making of international security. We do so by analysing the work of Passenger Information Units (PIUs) and retracing how they turn Passenger Name Record (PNR) data into actionable intelligence for counterterrorism and the fight against serious crime. To better understand the work of PIUs, we introduce and unpack the concept of 'epistemic fusion'. This explicates how security intelligence comes into being through practices that pertain to cross-domain data frictions, the contextualisation of data-driven knowledge through its synthesis with more traditional forms of investigatory knowledge and expertise, and the adjustment of the intelligence produced to make it actionable on the ground. [ABSTRACT FROM AUTHOR]

Copyright of Journal of Turkish Educational Sciences is the property of Journal of Turkish Educational Sciences and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Pragmalingüística is the property of Facultad de Filosofia y Letras, Universidad de Cadiz and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

IntroductionThis article aims to investigate the potential impact of restricted social data access on digital research practices. The 2018 Cambridge Analytica scandal exposed the exploitation of Facebook user data for speculative purposes and led to the end of the so-called “Data Golden Age,” characterized by free access to social media user data. As a result, many social platforms have limited or entirely banned data access. This policy shift, referred to as the “APIcalypse,” has revolutionized digital research methods.MethodsTo address the impact of this policy shift on digital research, a non-probabilistic sample of Italian researchers was surveyed and the responses were analyzed. The survey was designed to explore how constraints on digital data access have altered research practices, whether we are truly in a post-API era with a radical change in data scraping strategies, and what shared and sustainable solutions can be identified for the post-API scenario.ResultsThe findings highlight how limits on social data access have not yet created a “post-Api” scenario as expected, but it is turning research practices upside down, positively and negatively. On the positive side, because researchers are experimenting with innovative forms of scraping. Negatively, because there could be a “mass migration” to the few platforms that freely grant their APIs, with critical consequences for the quality of research.DiscussionThe closure of many social media APIs has not opened up a post-API world, but has worsened the conditions of making research, which is increasingly oriented to “easy-data” environments such as Twitter. This should prompt digital researchers to make a self-reflexive effort to diversify research platforms and especially to act ethically with user data. It would also be important for the scientific world and large platforms to enter into understandings for open and conscious sharing of data in the name of scientific progress.

This special section stems from discussions that took place in a forum at the Society for American Archaeology's annual conference in 2017. The forum, Beyond Data Management: A Conversation about “Digital Data Realities”, addressed challenges in fostering greater reuse of the digital archaeological data now curated in repositories. Forum discussants considered digital archaeology beyond the status quo of “data management” to better situate the sharing and reuse of data in archaeological practice. The five papers for this special section address key themes that emerged from these discussions, including: challenges in broadening data literacy by making instructional uses of data; strategies to make data more visible, better cited, and more integral to peer-review processes; and pathways to create higher-quality data better suited for reuse. These papers highlight how research data management needs to move beyond mere “check-box” compliance for granting requirements. The problems and proposed solutions articulated by these papers help communicate good practices that can jumpstart a virtuous cycle of better data creation leading to higher impact reuses of data.

The essay proposes to use alienation as a heuristic and conceptual tool for the analysis of the impact of digital information and communication technologies (ICTs) on users. It follows a historical materialist understanding, according to which data can be considered as things produced in an industrial fashion. A representational interpretation, according to which data would merely reflect a given reality, is untenable. It will be argued instead to understand data as an additional layer which has a transformative impact on reality as a whole. The analysis follows the early Marx in thinking of alienation as a structural condition which holds even if it is not experienced psychologically by users. Alienation means that the desire to express oneself and achieve social recognition, self-realization, and participation through the use of ICTs is incongruent to the inherent purposes and functions of these technologies. Digital platforms create the ideological illusion that users contribute to the production of data solely for their own gratification. Users, in turn, react to structural alienation either by internalizing it, in which case they may become enthusiastic data producers, or by imposing alienating conditions on other users. Finally, it will be shown that a strong notion of privacy is less suited to articulate concerns about the impact of ICTs because it expresses a desire for privilege and individual control which has become unfulfillable in the environment of data industries. The essay closes by showing some of the changes in institutional structures and behavior that could follow from the focus on alienation. [ABSTRACT FROM AUTHOR]

The purpose of this article is to highlight some of the ways in which you can delete and recover deleted digital data. [ABSTRACT FROM AUTHOR]