Journal articles: 'Digital footprints'

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Buchanan, Rachel, Erica Southgate, Shamus P. Smith, Tiana Murray, and Brittany Noble. "Post no photos, leave no trace: Children’s digital footprint management strategies." E-Learning and Digital Media 14, no. 5 (September 2017): 275–90. http://dx.doi.org/10.1177/2042753017751711.

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Given that today’s children are prolific users of the internet, concern has been raised about the future impact of the digital footprints they are currently generating. Here, we report on the Best Footprint Forward project which utilised focus groups to investigate the digital footprint awareness of 33 children (ranging in age from 10 to 12 years old) from three primary schools in regional Australia. The children were very aware of their digital footprints and cyber safety but had little awareness of the positive potential of digital footprints. Instead, they exercised their agency through the use of strategies to minimise their digital footprint. We offer an alternative perspective to the dominant discourse that insists that a digital footprint is primarily a liability and seek to counter the positioning of children as naïve, passive consumers of digital culture. We conclude that 10–12 years old is an appropriate age to begin to educate for positive digital footprint curation as this would build on children’s demonstrated knowledge of cyber safety and supplement their existing digital footprint management strategies with beneficial alternatives.

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Bushuyev, Sergey, Denis Bushuiev, Victoria Bushuieva, and Natalia Bushuieva. "CONCEPTUAL MODEL OF DIGITAL TRACE OF PROJECTS IN THE CONDITIONS OF DIGITALIZATION OF SOCIETY." Management of Development of Complex Systems, no. 46 (June 24, 2021): 12–18. http://dx.doi.org/10.32347/2412-9933.2021.46.12-18.

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The problem of creating an effective conceptual model for the formation of digital footprints of projects and development programs in the context of digitalization is considered. The life cycle of projects, knowledge, and management technologies is significantly shortened and digitization processes create requirements for the creation of their digital footprints and shadows. The technical and technological complexity of development projects increases due to innovation. These trends create significant challenges in the development of project and program management systems in the context of digitalization of society. It is proposed to use genomic representations as a basic model and methodology for the formation of digital footprints of projects. The proposed conceptual model of digital footprint formation of projects allows to take into account the external and internal environment of the project within a certain activity. The formalized model of the carrier of methodology of formation of a digital footprint of the project on the basis of system of knowledge of P2M is resulted. The classes of a hypothetically complete model of project management methodology for genome formation within the digital footprint creation are determined. The algebra of methodology which allows to form complex digital footprints of projects and programs is defined.

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Palupi, Palupi, Rina Sari Kusuma, and Indah Rahmaningsih. "Training on digital footprint management for teenagers in Simo District, Boyolali." Community Empowerment 8, no. 7 (July 31, 2023): 1055–64. http://dx.doi.org/10.31603/ce.8900.

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This training is based on the condition that teenagers in Simo District are productive internet users. Concerns are raised on how their digital footprint will impact their future. Teenagers in Simo District are mindful of their digital footprint, but unlikely have awareness of the positive potential of digital footprint. Digital footprint management is essential skill for teenagers to become good online citizen. This community service aims to provides training on how to manage digital footprints to members of PIK Pemuda Kampung KB. The results obtained from this training are that members of PIK Pemuda Kampung KB understand the importance of managing digital footprints as important effort in managing data security as well as to build a positive footprint that will benefit their future.

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Cahyani, Intan Putri, Vinta Sevilla, and Ruth Mariana Bunga Wadu. "Beware of digital footprints: Wise social media usage for parents of early childhood students." Abdimas: Jurnal Pengabdian Masyarakat Universitas Merdeka Malang 7, no. 3 (August 1, 2022): 599–610. http://dx.doi.org/10.26905/abdimas.v7i3.7467.

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The COVID-19 pandemic has had a real impact on people's consumption patterns of social media which has increased by up to 40%. On the other hand, the use of social media leaves a digital footprint that cannot be erased. The students' parents of PAUD Soka Indah are the millennial generation who are very connected to their gadgets. Another problem is the lack of knowledge about the dangers of digital footprints as part of uncontrolled online activities and ignorance about the importance of managing digital privacy. Through the Information Communication and Education (IEC) Program, with the central theme of Wise social media, the team focused on the importance of being aware of digital footprints and how to ideally manage communication privacy in cyberspace. This Program uses the Participatory Rural Appraisal Model and aims to build awareness and understanding of being aware of digital footprints and the importance of managing privacy on social media. Previously, most participants were unfamiliar with digital footprints and rarely even paid attention to the terms and conditions of applications or social media. In addition, participants uploaded personal data several times on social media. After the team carried out the IEC program, the post-test results showed that all participants could explain the elements of digital footprints and distinguish between active and passive digital footprint categories. The following significant result is the follow-up on managing communication privacy on social media.

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Khusyainov, Timur. "Confusing “digital footprints”." Digital Scholar Philosopher s Lab 4, no. 1 (2021): 45–50. http://dx.doi.org/10.32326/2618-9267-2021-4-1-45-50.

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This paper considers digital footprints not through the prism of their impact on the user, but rather focuses on how users themselves prefer not to leave them, or deliberately leave false ones. Users can do this both for the purpose of fraud and in order to hide their actions from the state and business, considering it unacceptable to have their digital footprints collected and analyzed. Along with it, the author points out that a whole category of users emerges who deliberately reduce the number of their digital traces, turning it into a special lifestyle.

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Artem Aleksandrovich, Balyakin,, Mamonov, Mikhail Viktorovich, Nurbina, Marina Vitalyevna, and Taranenko, Sergey Borisovich. "DIGITAL FOOTPRINT TO SOLVE EDUCATIONAL PROBLEMS." Education & Pedagogy Journal, no. 2(4) (December 30, 2022): 5–14. http://dx.doi.org/10.23951/2782-2575-2022-2-5-14.

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Some aspects of using the digital footprint in education are described. The connection of this approach with the use of expert systems and Big Data technologies is shown. Current trends are described, and the risks and challenges of using digital technologies in education are outlined. It is shown that the role of society and government institutions will only increase. The important role of a priori algorithms and expert judgments in processing digital footprints is demonstrated. Finally, the authors argue that expectations about the prospects for using digital footprints to optimize management decisions in education must be tempered. They suggest focusing on developing digital culture, democratizing digital technologies, and the widespread acceptance of ethics in using Big Data.

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Alimbekov, Robert Rinatovich, and Airat Faridovich Khasyanov. "A Mobile System for Collecting a Digital Trace for the Task of Accounting and Analyzing Horizontal Learning in the Learning Process without using a Cellular Connection." Russian Digital Libraries Journal 25, no. 2 (June 14, 2022): 104–20. http://dx.doi.org/10.26907/1562-5419-2022-25-2-104-120.

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Today, users of mobile applications in different areas leave a huge amount of digital footprint. The main types of digital footprints are text, photos, videos, audio, and current location. To assist the teacher in horizontal learning, a mobile application that collects all of the above types of digital footprint was developed as well as web application that analyzes it.

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Bodhani, A. "Digital footprints step up." Engineering & Technology 7, no. 1 (February 1, 2012): 82–83. http://dx.doi.org/10.1049/et.2012.0125.

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Coiro, Julie, and Sara Kajder. "Conversation Currents: Digital Footprints." Language Arts 89, no. 2 (November 1, 2011): 148–53. http://dx.doi.org/10.58680/la201118224.

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Julie Coiro and Sara Kajder converse about how they use digital tools with teachers and children. We are excited to share their experience and insights about how teachers can incorporate these options in the classroom.

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Micheli, Marina, Christoph Lutz, and Moritz Büchi. "Digital footprints: an emerging dimension of digital inequality." Journal of Information, Communication and Ethics in Society 16, no. 3 (August 13, 2018): 242–51. http://dx.doi.org/10.1108/jices-02-2018-0014.

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Purpose This conceptual contribution is based on the observation that digital inequalities literature has not sufficiently considered digital footprints as an important social differentiator. The purpose of the paper is to inspire current digital inequality frameworks to include this new dimension. Design/methodology/approach Literature on digital inequalities is combined with research on privacy, big data and algorithms. The focus on current findings from an interdisciplinary point of view allows for a synthesis of different perspectives and conceptual development of digital footprints as a new dimension of digital inequality. Findings Digital footprints originate from active content creation, passive participation and platform-generated data. The literature review shows how different social groups may experience systematic advantages or disadvantages based on their digital footprints. A special emphasis should be on those at the margins, for example, users of low socioeconomic background. Originality/value By combining largely independent research fields, the contribution opens new avenues for studying digital inequalities, including innovative methodologies to do so.

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Pereverzeva, Ekaterina, and Andrei Komov. "The mechanism for digital footprints formation." Vestnik of the St. Petersburg University of the Ministry of Internal Affairs of Russia 2022, no. 1 (March 24, 2022): 128–33. http://dx.doi.org/10.35750/2071-8284-2022-1-128-133.

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Over the past decade, there has been registered a significant increase in crimes committed using high technologies, which requires framing a new theoretical approach to the mechanism of the formation of digital footprints. For the abovementioned reasons, digital data acquires special relevance in the detection, solving, and investigation of economic crimes, since technical skills may give the user an opportunity to destroy, damage, or modify their digital traces. In the period from 2010 to 2020, the number of crimes committed using high technologies increased by more than 35 times, while the number of economic crimes committed decreased (by 162%). In the course of a detailed analysis of statistical data and the contributing factors, it became possible to establish a relationship between quantitative changes in economic crimes and crimes committed with the use of high technologies. The article analyzes the domestic criminalistic approach to the mechanism of trace formation, considering the classification of digital footprints depending on the mechanism of trace formation. The author offers a schematic design of the digital footprint formation mechanism, showing its distinction from the mechanism of trace formation in a traditional sense, and its practical importance.

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Buchanan, Rachel, Erica Southgate, and Shamus P. Smith. "‘The whole world’s watching really’: Parental and educator perspectives on managing children’s digital lives." Global Studies of Childhood 9, no. 2 (May 27, 2019): 167–80. http://dx.doi.org/10.1177/2043610619846351.

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Teachers are under increased pressure to teach children digital skills, and parents are having to manage children’s online presence as well as their offline lives. Much of the discussion surrounding the issue of children’s digital footprints highlights the potential present and future risks that children could be exposed to. While parents and teachers are expected to educate and protect children online, little is known about what parents and educators know in the Australian context and how they feel about being the custodians of children’s digital presence. The purpose of this article is twofold. Firstly, the authors report on the Best Footprint Forward project, which employed focus groups to qualitatively investigate the digital-footprint awareness of parents and teachers from three primary schools in regional Australia. Secondly, the authors outline an ethical framework that can be used to provide guidance to those who teach children on how to manage their online presence. Parents and teachers were very aware of the issues surrounding digital-footprint management and cyber safety for children, but had little awareness of the positive potential of digital footprints or how to help children manage their digital lives. In reporting the uncertainty experienced by these two groups, the authors seek to highlight the ethical complexities of children’s participation in digital cultures and provide a framework for engaging with these complexities.

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Schoedel, Ramona, Quay Au, Sarah Theres Völkel, Florian Lehmann, Daniela Becker, Markus Bühner, Bernd Bischl, Heinrich Hussmann, and Clemens Stachl. "Digital Footprints of Sensation Seeking." Zeitschrift für Psychologie 226, no. 4 (October 2018): 232–45. http://dx.doi.org/10.1027/2151-2604/a000342.

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Abstract. The increasing usage of new technologies implies changes for personality research. First, human behavior becomes measurable by digital data, and second, digital manifestations to some extent replace conventional behavior in the analog world. This offers the opportunity to investigate personality traits by means of digital footprints. In this context, the investigation of the personality trait sensation seeking attracted our attention as objective behavioral correlates have been missing so far. By collecting behavioral markers (e.g., communication or app usage) via Android smartphones, we examined whether self-reported sensation seeking scores can be reliably predicted. Overall, 260 subjects participated in our 30-day real-life data logging study. Using a machine learning approach, we evaluated cross-validated model fit based on how accurate sensation seeking scores can be predicted in unseen samples. Our findings highlight the potential of mobile sensing techniques in personality research and show exemplarily how prediction approaches can help to foster an increased understanding of human behavior.

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Lewis, Kevin. "Three fallacies of digital footprints." Big Data & Society 2, no. 2 (December 2015): 205395171560249. http://dx.doi.org/10.1177/2053951715602496.

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Lund, Gun. "Digital Footprints–Technology and Equality." Nordic Journal of Dance 14, no. 1 (June 1, 2023): 84–89. http://dx.doi.org/10.2478/njd-2023-0009.

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Abstract How can dancers control or influence variables such as lighting, music, projections or the overall spatial experience that affect the traditional hierarchy in a performative setting? The dance performance Digital Footprints uses advanced technologies that allow dancers to test this question in a live situation. In this article, the choreographer discusses some preliminary conclusions.

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Лазарева, Л. В. "Digital footprints: concept, regulation, research." Расследование преступлений: проблемы и пути их решения, no. 3(41) (October 16, 2023): 129–36. http://dx.doi.org/10.54217/2411-1627.2023.41.3.015.

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Актуальность исследования обусловлена широким распространением в научной литературе термина «цифровые доказательства», содержание которого не закреплено в нормативных правовых актах и по этой причине имеет различное толкование, что негативно влияет на практику расследования преступлений, совершенных с использованием информационных технологий, связанную с использованием цифровых следов в качестве самостоятельного вида доказательств и в последующем объекта судебно-экспертного исследования по уголовным делам. Постановка проблемы: как показывает анализ правоприменительной практики, повышение эффективности расследования преступлений, совершенных с использованием информационных технологий, затруднительно без наличия научно обоснованных рекомендаций, направленных на совершенствование использования в процессе доказывания цифровых следов и их исследования посредством судебной экспертизы. Методы исследования: общенаучные, частнонаучные и специальные методы познания, в том числе метод наблюдения, анализа и синтеза, формально-логический и др. Результаты и ключевые выводы: формулируется вывод, что рассматриваемое понятие должно употребляться в законодательстве в определенном контексте. Делается вывод о необходимости унификации нормативного регулирования деятельности судебно-экспертных учреждений. Вносятся некоторые предложения, направленные на устранение выявленных проблем и оптимизацию соответствующих направлений деятельности. The relevance of the study is due to the widespread use of the term “digital evidence” in the scientific literature. Its content is not fixed in regulatory legal acts and for this reason has a different interpretation, which negatively affects the practice of investigating crimes committed using information technology related to the use of digital traces as an independent type of evidence and subsequently the object of forensic examination in criminal cases. Problem statement: as the analysis of law enforcement practice shows, it is difficult to increase the effectiveness of the investigation of crimes committed using information technology without the availability of scientifically sound recommendations aimed at improving the use of digital traces in the process of proving and their research through forensic examination. Research methods: general scientific, private scientific and special methods of cognition, including the method of observation, analysis and synthesis, formal logical, etc. Results and key conclusions: the conclusion is formulated that the concept under consideration should be used in legislation in a certain context. It is concluded that it is necessary to unify the regulation of the activities of forensic institutions. Some proposals are made aimed at eliminating the identified problems and optimizing the relevant areas of activity.

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Chen, Yuh-Jen, Yuh-Min Chen, Yu-Jen Hsu, and Jyun-Han Wu. "Predicting Consumers’ Decision-Making Styles by Analyzing Digital Footprints on Facebook." International Journal of Information Technology & Decision Making 18, no. 02 (March 2019): 601–27. http://dx.doi.org/10.1142/s0219622019500019.

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In the past, enterprises used time-consuming questionnaire surveys and statistical analysis to formulate consumer profiles. However, explosive growth in social media had produced enormous quantities of texts, images, and videos, which is sometimes referred to as a digital footprint. This provides an alternative channel for enterprises seeking to gain an objective understanding of their target consumers. Facilitating the analysis of data used in the formulation of a marketing strategy based on digital footprints from online social media is crucial for enterprises seeking to enhance their competitive advantage in today’s markets. This study develops an approach for predicting consumer decision-making styles by analyzing digital footprints on Facebook to assist enterprises in rapidly and correctly mastering the consumption profile of consumers, thereby reducing marketing costs and promoting customer satisfaction. This objective can be achieved by performing the following tasks: (i) designing a process for predicting consumer decision-making styles based on the analysis of digital footprints on Facebook, (ii) developing techniques related to consumer decision-making style prediction, and (iii) implementing and evaluating a consumer decision-making style prediction mechanism. In the practical experiment, we obtained questionnaires and various digital footprint contents (including “Likes,” “Status,” and “Photo/Video”) from 3304 participants in 2018, 2644 of which were randomly selected as a training dataset, with the remaining 660 participants forming a testing dataset. The experimental results indicated that the accuracy increased to 75.88% and proved that the approach proposed in this study can effectively predict consumers’ decision-making styles.

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Jansen, Nora, and Oliver Hinz. "Inferring opinion leadership from digital footprints." Journal of Business Research 139 (February 2022): 1123–37. http://dx.doi.org/10.1016/j.jbusres.2021.10.032.

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Khusyainov, Timur. "Digital footprints in the university space." Digital Scholar Philosopher s Lab 4, no. 2 (2021): 52–72. http://dx.doi.org/10.32326/2618-9267-2021-4-2-52-72.

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This work considers the use of digital traces in the educational environment and the specifics of their collection and analysis at the university. One way or another, all participants in the educational process, as well as those who can potentially become them, for example, applicants, leave digital traces in the digital environments of the university and the Global Network in general, and these traces can be analyzed. At the same time, even the university itself as an organization leaves a certain digital footprint on the Internet. At the moment, most researchers are very optimistic, contemplating on what positive changes can be brought by the analysis of digital traces of applicants, students and teachers for the development of the university itself, the educa-tional process, and the formation of individual learning paths. In contrast to this, the author identifies a number of possible prospects for the analysis of Big Data and the use of Artificial Intelligence for education at the university of the future. Attention is focused on how this can affect the safety of the environment and conflict with ethical standards. Participants in the educational process, falling under the analysis of their digital traces, can both suffer because of them, even if their activities have not been in any way connected with the university, and begin to hide their true digital identity, creating «false» digital traces and becoming anon-ymous. The author assumes that an increase in such control covering actions, thoughts and emotions naturally results in the emergence of the concept of a «Dark» University, which distances itself as much as possible from such methods of analyzing personal data.

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Önder, Irem, Wolfgang Koerbitz, and Alexander Hubmann-Haidvogel. "Tracing Tourists by Their Digital Footprints." Journal of Travel Research 55, no. 5 (December 18, 2014): 566–73. http://dx.doi.org/10.1177/0047287514563985.

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Lambiotte, Renaud, and Michal Kosinski. "Tracking the Digital Footprints of Personality." Proceedings of the IEEE 102, no. 12 (December 2014): 1934–39. http://dx.doi.org/10.1109/jproc.2014.2359054.

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Chowdhury, Rajarshi Roy, Azam Che Idris, and Pg Emeroylariffion Abas. "Device identification using optimized digital footprints." IAES International Journal of Artificial Intelligence (IJ-AI) 12, no. 1 (March 1, 2023): 232. http://dx.doi.org/10.11591/ijai.v12.i1.pp232-240.

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<span lang="EN-US">The rapidly increasing number of internet of things (IoT) and non-IoT devices has imposed new security challenges to network administrators. Accurate device identification in the increasingly complex network structures is necessary. In this paper, a device fingerprinting (DFP) method has been proposed for device identification, based on digital footprints, which devices use for communication over a network. A subset of nine features have been selected from the network and transport layers of a single transmission control protocol/internet protocol packet based on attribute evaluators in Weka, to generate device-specific signatures. The method has been evaluated on two online datasets, and an experimental dataset, using different supervised machine learning (ML) algorithms. Results have shown that the method is able to distinguish device type with up to 100% precision using the random forest (RF) classifier, and classify individual devices with up to 95.7% precision. These results demonstrate the applicability of the proposed DFP method for device identification, in order to provide a more secure and robust network.</span>

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Cerina, Roberto, and Raymond Duch. "Measuring public opinion via digital footprints." International Journal of Forecasting 36, no. 3 (July 2020): 987–1002. http://dx.doi.org/10.1016/j.ijforecast.2019.10.004.

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Schekotin, Evgeniy, Darya Dunaeva, Polina Basina, and Pavel Vakhrameev. "Digital Footprints in Ecology: Empirical Research." Virtual Communication and Social Networks 2023, no. 4 (June 2, 2023): 255–63. http://dx.doi.org/10.21603/2782-4799-2023-2-4-255-263.

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In addition to the environmental data (i.e., data that has been produced and collected by professional ecologists to solve certain environmental problems), other sources of open data can be used to study environmental problems. For example, data created by users for other purposes and extracted from social media can be used to study biodiversity, monitor environment and analyze environmental practices. The article represents a summary of such an empirical study that featured messages about air pollution in the city of Cherepovets published in the VKontakte social network. The study covered the period from January 01, 2020, to October 31, 2022. The methodology included the following steps: selecting relevant network communities; uploading and classifying the relevant messages; thematic modeling and content analysis. The sample included 48 messages that introduced the problem of air pollution in Cherepovets. The PolyAnalyst data analysis platform revealed the following most common phrases: polluting substance, atmospheric air, harmful substance, ammonia emission, liquid complex fertilizers, ammonia concentration. The article also contains a list of industrial enterprises mentioned as polluting agents. The results illustrate the opinions of social net users about the quality of air in Cherepovets. It can be concluded that social networks might help monitor the interest in environmental problems, because they shape the environmental agenda ahead of television and other information sources.

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M. Carvalho, Nathalia, Cristiane M. Silva, and Jean Carlos Natividade. "Avaliação da Personalidade na Era do Big Data: Uma Revisão Sistemática." Cadernos de Psicologia 3, no. 3 (2023): 01–23. http://dx.doi.org/10.9788/cp2023.3-03.

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The range of naturalistic observations of personality in online environments has been expanded with new communication technologies. That made it possible to capture a large volume of digital footprints (Big Data). This research aimed to carry out a systematic literature review of national and international scientific articles that used digital footprints to observe personality in the period from 2011 to 2020. The articles were accessed in the electronic databases PsycINFO, SciELO, Scopus (Elsevier), and PePSIC. In total, 25 articles were found, the most used social networks to obtain digital traces were Facebook and Twitter. It has also been found that personality assessment using digital footprints has been used for different purposes, such as developing product recommendation systems and automatic cyberbullying detection systems. The importance of Brazilian researchers to acquire the technical resources necessary to conduct empirical research on personality and big data is discussed, considering that only one of the articles found was published by Brazilian researchers.Keywords: Personality, digital footprints, social networks, observation methods, Big Data

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Olipas, Cris Norman P. "Exploring Differences in Demographic Profiles and Digital Footprint Awareness between Private and Public-School Students: A Comparative Study." East Asian Journal of Multidisciplinary Research 2, no. 4 (April 26, 2023): 1415–36. http://dx.doi.org/10.55927/eajmr.v2i4.3552.

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The objective of this study was to contrast the digital footprint awareness and demographic characteristics of college students enrolled in private and public higher education institutions (HEIs) in the Philippines. Using a quantitative descriptive research design, the study collected data from 497 respondents from both types of institutions during the first semester of the academic year 2022-2023. The research instrument was adopted from a previous study but modified to fit the context of this study. The instrument underwent content and face validity measures to ensure that it was valid. Results showed that there were no significant differences in digital footprint awareness between the respondents from private and public HEIs. The study offered valuable insights into the similarities and distinctions in digital footprint awareness among college students in private and public higher education institutions in the Philippines. The study recommended further research on the factors that affected digital footprint awareness, such as social media use and online behavior. Additionally, the study suggested the development of educational programs and campaigns to raise awareness about digital footprints and cybersecurity among college students.

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Bharathiraja, S., B. Rajesh Kanna, S. Geetha, and M. Hariharan. "Exposing digital image forgeries from statistical footprints." Journal of Information Security and Applications 69 (September 2022): 103273. http://dx.doi.org/10.1016/j.jisa.2022.103273.

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Schuppli, Susan. "Dusting for fingerprints and tracking digital footprints." Photographies 6, no. 1 (March 2013): 159–67. http://dx.doi.org/10.1080/17540763.2013.788849.

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Taylor, Elise P. "The Dead Moms Club." Journal of Autoethnography 3, no. 3 (2022): 329–40. http://dx.doi.org/10.1525/joae.2022.3.3.329.

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How do we survive loss when the physical body is gone, but their words and thoughts—in the form of a digital footprint—remain? This essay takes an autoethnographic approach to this question by juxtaposing the author’s thoughts and reflections with her deceased mother’s blogs. In doing so, they discuss their relationship, remember shared experiences together, and reflect on what it means to have someone die when their so-called “digital souls” live on permanently. The essay concludes by asking how we, as individuals, should address the problem of what to do with our digital remains, and how future bereaved people will make use of digital footprints that the dead leave behind.

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Li, Pingrui. "Digital Technologies, Environmental Governance and Environmental Performance: Empirical Evidence from China." Engineering Economics 35, no. 2 (April 30, 2024): 236–48. http://dx.doi.org/10.5755/j01.ee.35.2.33429.

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This research conducts an empirical analysis of the relationship between digital technologies, environmental governance (assessed through environmental taxes), and China's environmental performance from 1995 to 2020. Additionally, within the framework of the STIRPAT model, the impacts of GDP and urbanization on ecological footprints are examined. This study is distinguished by its innovative approach to evaluating environmental performance via ecological footprints and the application of the Autoregressive Distributed Lag (ARDL) model along with Dynamic Ordinary Least Squares (DOLS), Canonical Cointegration Regression (CCR), and Fully Modified Ordinary Least Squares (FMOLS) as long-run estimators, methodologies not previously applied to this context in China. The findings indicate that digital technologies and environmental taxes contribute to a reduction in ecological footprints, while GDP and urbanization have an adverse effect, increasing ecological footprints. Post-estimation diagnostics confirm the absence of serial correlation and heteroskedasticity, and affirm the normal distribution of the disturbance terms. For a robustness check, the study further employs DOLS, FMOLS, and CCR methods, which corroborate the initial results regarding the beneficial impact of digital technologies and environmental governance on ecological footprints. Based on these findings, the study advises the Chinese government and policymakers to enact more effective environmental tax policies and leverage digital technologies to enhance environmental sustainability in China.

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Margolis, Michelle, Marjorie Lehman, Adam Shear, and Joshua Teplitsky. "Footprints: A Digital Approach to (Jewish) Book History." European Journal of Jewish Studies 17, no. 2 (March 22, 2023): 297–326. http://dx.doi.org/10.1163/1872471x-bja10061.

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Abstract This article describes and analyzes the methods of Footprints: Jewish Books Through Time and Place, a digital humanities contribution to book history. Footprints collects and aggregates information about the movement of copies of Hebrew books and books of Judaica in other languages printed in the early modern period (roughly corresponding to the hand-press era) and follows evidence of their movement into the twenty-first century. It stores this information in a relational database in which users can run specific queries and delivers the results in a number of visual representations for analysis and interpretation. Footprints undertakes two concurrent and more open-ended aims: (1) the on-going assemblage of a dataset about post-print mobility based on evidence other than the printed text (e.g. marginalia, catalog records, archival letters, other printed texts); and (2) the creation and iterative refining of a scholarly instrument to analyze the dataset through computational methods and modes of representation.

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OLINDER, Nina, Alexey TSVETKOV, Konstantin FEDYAKIN, and Kristina ZABURDAEVA. "Using Digital Footprints in Social Research: an Interdisciplinary Approach." WISDOM 16, no. 3 (December 28, 2020): 124–35. http://dx.doi.org/10.24234/wisdom.v16i3.403.

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The aim of the study is to clarify the concept of the digital footprint in jurisprudence and social sciences and determine its meaning for interdisciplinary research. The subject of this work is the analysis of the concepts of “digital footprint”, “digital reputation”, “digital image of a person”. The article notes that special machine techniques are required to process digital traces. The ways of storage, transmission and use of digital traces are considered. The research identified the main problems of using digital information in public relations. Digital traces can be used in various studies in the humanities, social sciences: sociology, law, economics, psychology using interdisciplinary research methods. The result of the study was the conclusion that digital information does not always mean a digital footprint. Digital information will have a digital footprint only when it is transferred from one user to another in an online environment, uploaded to a social network, etc. (in the case when it is possible to "trace" its movement). Thus, the "digital footprint" is the ability of information recorded in digital form, to leave special "marks" on the route from subscriber to subscriber, the ability to track such marks, receive information about its movement and transformation in order to collect, process and analyze these data.

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Bushuyev, S., S. Onyshchenko, D. Bushuiev, V. Bushuieva, and N. Bushuyeva. "DYNAMICS AND IMPACT OF DIGITAL FOOTPRINT ON PROJECT SUCCESS." Scientific Journal of Astana IT University, no. 6 (June 30, 2021): 15–22. http://dx.doi.org/10.37943/aitu.2021.38.94.002.

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The digital footprint of the project is its integral characteristic, reflecting both the “official” information on the project, unnecessary and any mention of the project including social networks and other Internet resources. An entropy model for assessing the success of a project is proposed. The model covers the content (semantic part), its environment, and the dynamics of implementation. The increase in informational entropy (uncertainty) of the project cannot be estimated as the sum of the increase in entropy associated with each element of the digital footprint. The main reason for this is the synergy inherent in the digital footprint. Separately insignificant elements of a digital footprint of a project of a negative nature, with their significant number and periodic appearance, cause a “snowball” effect, which leads to an increase and exaggeration of small destructive effects of individual digital footprints. Therefore, it makes no sense to consider the increase in information entropy for each element of the digital footprint of the project, but it is necessary to consider the impact of each new element of the digital footprint on the information entropy of the project. Each element of an active digital footprint is formed on time and meets the necessary requirements. The organized formation of a digital footprint promotes order in documentation, timely awareness of risks, the formation of the required level of demand for a project product, and a proactive assessment of success. The digital footprint should also help attract new stakeholders to create a favorable project image and promote the project’s product. The fulfillment of this set of conditions ensures a decrease in entropy and, as a result, the success of the project. Conversely, if active and passive digital traces of a project increase entropy, then the likelihood of project success is reduced.

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Gambarova, E. A. "Seizure of digital footprints from the Internet and their use in evidence: criminal procedural aspects." Vektor nauki Tol’attinskogo gosudarstvennogo universiteta. Seria Uridicheskie nauki, no. 3 (2023): 13–19. http://dx.doi.org/10.18323/2220-7457-2023-3-13-19.

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Currently, the amount of information that Internet users post on it and exchange with each other is increasing. Under certain conditions, this information, can become forensically significant and can be used as evidence in the future. The issue of seizure and procedural recording of such information is not regulated by current legislation, which makes it difficult to use this information as evidence. The purpose of the study is to identify specific features of digital information, special aspects of the process of proof using digital information and digital footprints within the framework of the current criminal procedure legislation. The author considers the information obtained from social networks in the context of digital footprints and digital evidence in criminal procedure. The signs of digital (electronic) evidence have been systematized. The author carried out an analysis of the provisions of Art. 74 of the Criminal Procedure Code of the Russian Federation, as well as of modern scientific approaches to understanding the system and form of evidence in criminal procedure. Having studied law enforcement practice, the author concluded that the existing legal regulation of the use of digital (electronic) evidence in criminal procedure is not effective enough. The analysis of legislation and law enforcement practice regarding the use of digital footprints in evidence allowed formulating several proposals to improve the norms of criminal procedure legislation of the Russian Federation. In particular, the author proposed to enshrine the definition of digital document in the Criminal Procedure Code of the Russian Federation, expand the list of investigative actions, and specify a separate investigative action aimed at detecting digital footprints and recording digital information.

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Tucakovic, Lana, and Ljubisa Bojic. "COMPUTER-BASED PERSONALITY JUDGMENTS FROM DIGITAL FOOTPRINTS: THEORETICAL CONSIDERATIONS AND PRACTICAL IMPLICATIONS IN POLITICS." Srpska politička misao 74, no. 4/2021 (April 5, 2022): 207–26. http://dx.doi.org/10.22182/spm.7442021.10.

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Accurately forming personality judgments is of vital importance in a wide range of social interactions. Although people are able to make fairly accurate personality judgments of others, recent technological advances in machine learning made computers better at predicting personality than humans. In this review, we will focus on computer-based personality judgments and their theoretical considerations and practical implications in politics. More precisely, we will discuss (i) the use of social platforms and digital devices in collecting so-called digital footprints, (ii) personality traits that are assessed based on digital footprints, (iii) advantages and disadvantages of using computer-based personality judgments, (iv) persuasive communication based on digital footprints of personality traits, and lastly, (v) the matters of privacy and informed consent. With this review, we aim to provide a guide how to use computer-based personality judgment in a way to serve the public interest.

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Nikolić, Jovana. "Digital footprints in the era of new media." CM: Communication and Media 15, no. 48 (2021): 137–62. http://dx.doi.org/10.5937/cm15-24096.

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New media is essential part of everyday practices of individuals. Research shows that 80% respondents on the territory of Serbia checks their social media accounts several times a day. For average consumer this means that they are in constant contact with friends and that they have easy access to information and news. For companies continuous presence is a source of significant data about habits and opinions of consumers. Question remains: How can users create their own digital footprints in various ways? How big companies can abuse data? If data became oil of 21st century, does that mean users have become commodities? The aim of this paper is to show what is happening with users' privacy when engaging with new media, through mapping characteristics of new media, current centers of power in digital world, defining the concepts of digital footprints and privacy in online sphere and through case study of privacy violations.

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Pavlenko, Daria, Leonid Barykin, and Kazbek Dadteev. "Collection and analysis of digital footprints in LMS." Procedia Computer Science 190 (2021): 666–69. http://dx.doi.org/10.1016/j.procs.2021.06.104.

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Teng, Chia Chi, and Whitney Maxwell. "A size and impact analysis of digital footprints." International Journal of Business and Systems Research 15, no. 2 (2021): 163. http://dx.doi.org/10.1504/ijbsr.2021.113418.

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KLIGIENE, Stanislava Nerute. "Digital Footprints in the Context of Professional Ethics." Informatics in Education 11, no. 1 (April 15, 2012): 65–79. http://dx.doi.org/10.15388/infedu.2012.04.

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Reynolds, Perri, and Angela S. M. Irwin. "Tracking digital footprints: anonymity within the bitcoin system." Journal of Money Laundering Control 20, no. 2 (May 2, 2017): 172–89. http://dx.doi.org/10.1108/jmlc-07-2016-0027.

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Purpose The purpose of this paper is to critically analyse research surrounding the anonymity of online transactions using Bitcoin and report on the feasibility of law enforcement bodies tracing illicit transactions back to a user’s real-life identity. Design/methodology/approach The design of this paper follows on from the approach taken by Reid and Harrigan (2013) in determining whether identifying information may be collated with external sources of data to identify individual users. In addition to conducting a detailed literature review surrounding the anonymity of users, and the potential ability to track transactions through the blockchain, four Bitcoin exchange services are examined to ascertain whether information provided at the sign-up stage is sufficiently verified and reliable. By doing so, this research tests the ability for law enforcement to reasonably rely upon this information when attempting to prosecute individuals. Additionally, by submitting fake information for verification, the plausibility of these services accepting fraudulent or illegitimate information is also tested. Findings It may be possible to identify and prosecute bad actors through the analysis of transaction histories by tracing them back to an interaction with a Bitcoin exchange. However, the compliance and implementation of anti-money laundering legislation and customer identification security standards are insufficiently used within some exchange services, resulting in more technologically adept, or well-funded, criminals being able to circumvent identification controls and continue to transact without revealing their identities. The introduction of and compliance with know-your customer and customer due diligence legislation is required before law enforcement bodies may be able to accurately rely on information provided to a Bitcoin exchange. This paper highlights the need for research to be undertaken to examine the ways in which criminals are circumventing identity controls and, consequently, financing their illicit activities. Originality/value By ascertaining the types of information submitted by users when exchanging real currency for virtual currency, and seeing whether this information may be accepted despite being fraudulent in nature, this paper elucidates the reliability of information that law enforcement bodies may be able to access when tracing transactions back to an individual actor.

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Maxwell, Whitney, and Chia Chi Teng. "A size and impact analysis of digital footprints." International Journal of Business and Systems Research 15, no. 1 (2021): 1. http://dx.doi.org/10.1504/ijbsr.2021.10028555.

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Chen, Bo-chiuan, Dong-Chul Seo, Hsien-Chang Lin, and David Crandall. "Framework for estimating sleep timing from digital footprints." BMJ Innovations 4, no. 4 (August 30, 2018): 172–77. http://dx.doi.org/10.1136/bmjinnov-2018-000274.

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ObjectiveWe propose a method that estimates sleep timing from publicly observable activity on online social network sites. The method has the potential to minimise participant-related biases, does not require specialised equipment and can be applied to a large population.Materials and methodsWe propose a framework that estimates midpoints of habitual sleep time from activity records on a social media—Twitter. We identified sets of before-bedtime and after-wake-up tweets that marked the periods of reduced Twitter activity, which we use as a proxy of sleep. We then estimated the timing of sleep by deriving the median among midpoints of paired before-bedtime and after-wake-up tweets. Visualisations and examples of our estimates comparing sleep timing of users from different countries are provided.DiscussionInitial results suggest that the proposed framework could detect differences in sleep timing among user groups of different countries. The proposed framework may be a cost-efficient complement for future research regarding sleep-related health concerns. Researchers and practitioners may benefit from accessing habitual sleep data. While validation is still required prior to actual applications, the proposed framework may be a first step towards a convenient and cost-efficient complement to currently available methods.

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Wang, Jiangtao, Junyi Ma, Yasha Wang, Ning Wang, Leye Wang, Daqing Zhang, Feng Wang, and Qin Lv. "Will Online Digital Footprints Reveal Your Relationship Status?" Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 4, no. 1 (March 18, 2020): 1–23. http://dx.doi.org/10.1145/3380978.

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Hinds, Joanne, and Adam Joinson. "Human and Computer Personality Prediction From Digital Footprints." Current Directions in Psychological Science 28, no. 2 (February 25, 2019): 204–11. http://dx.doi.org/10.1177/0963721419827849.

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Is it possible to judge someone accurately from his or her online activity? The Internet provides vast opportunities for individuals to present themselves in different ways, from simple self-enhancement to malicious identity fraud. We often rely on our Internet-based judgments of others to make decisions, such as whom to socialize with, date, or employ. Recently, personality-perception researchers have turned to studying social media and digital devices in order to ask whether a person’s digital traces can reveal aspects of his or her identity. Simultaneously, advances in “big data” analytics have demonstrated that computer algorithms can predict individuals’ traits from their digital traces. In this article, we address three questions: What do we currently know about human- and computer-based personality assessments? How accurate are these assessments? Where are these fields heading? We discuss trends in the current findings, provide an overview of methodological approaches, and recommend directions for future research.

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Guo, Bin, Daqing Zhang, Zhiwen Yu, and Francesco Calabrese. "Extracting social and community intelligence from digital footprints." Journal of Ambient Intelligence and Humanized Computing 5, no. 1 (April 13, 2012): 1–2. http://dx.doi.org/10.1007/s12652-012-0116-0.

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Köhn, A., J. Tian, and F. Kurz. "AUTOMATIC BUILDING EXTRACTION AND ROOF RECONSTRUCTION IN 3K IMAGERY BASED ON LINE SEGMENTS." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLI-B3 (June 9, 2016): 625–31. http://dx.doi.org/10.5194/isprs-archives-xli-b3-625-2016.

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We propose an image processing workflow to extract rectangular building footprints using georeferenced stereo-imagery and a derivative digital surface model (DSM) product. The approach applies a line segment detection procedure to the imagery and subsequently verifies identified line segments individually to create a footprint on the basis of the DSM. The footprint is further optimized by morphological filtering. Towards the realization of 3D models, we decompose the produced footprint and generate a 3D point cloud from DSM height information. By utilizing the robust RANSAC plane fitting algorithm, the roof structure can be correctly reconstructed. In an experimental part, the proposed approach has been performed on 3K aerial imagery.

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Köhn, A., J. Tian, and F. Kurz. "AUTOMATIC BUILDING EXTRACTION AND ROOF RECONSTRUCTION IN 3K IMAGERY BASED ON LINE SEGMENTS." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLI-B3 (June 9, 2016): 625–31. http://dx.doi.org/10.5194/isprsarchives-xli-b3-625-2016.

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We propose an image processing workflow to extract rectangular building footprints using georeferenced stereo-imagery and a derivative digital surface model (DSM) product. The approach applies a line segment detection procedure to the imagery and subsequently verifies identified line segments individually to create a footprint on the basis of the DSM. The footprint is further optimized by morphological filtering. Towards the realization of 3D models, we decompose the produced footprint and generate a 3D point cloud from DSM height information. By utilizing the robust RANSAC plane fitting algorithm, the roof structure can be correctly reconstructed. In an experimental part, the proposed approach has been performed on 3K aerial imagery.

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Gutiérrez-Vilahú, Lourdes, Núria Massó-Ortigosa, Lluís Costa-Tutusaus, and Myriam Guerra-Balic. "Reliability and Validity of the Footprint Assessment Method Using Photoshop CS5 Software." Journal of the American Podiatric Medical Association 105, no. 3 (May 1, 2015): 226–32. http://dx.doi.org/10.7547/0003-0538-105.3.226.

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Background Several sophisticated methods of footprint analysis currently exist. However, it is sometimes useful to apply standard measurement methods of recognized evidence with an easy and quick application. We sought to assess the reliability and validity of a new method of footprint assessment in a healthy population using Photoshop CS5 software (Adobe Systems Inc, San Jose, California). Methods Forty-two footprints, corresponding to 21 healthy individuals (11 men with a mean ± SD age of 20.45 ± 2.16 years and 10 women with a mean ± SD age of 20.00 ± 1.70 years) were analyzed. Footprints were recorded in static bipedal standing position using optical podography and digital photography. Three trials for each participant were performed. The Hernández-Corvo, Chippaux-Smirak, and Staheli indices and the Clarke angle were calculated by manual method and by computerized method using Photoshop CS5 software. Test-retest was used to determine reliability. Validity was obtained by intraclass correlation coefficient (ICC). Results The reliability test for all of the indices showed high values (ICC, 0.98–0.99). Moreover, the validity test clearly showed no difference between techniques (ICC, 0.99–1). Conclusions The reliability and validity of a method to measure, assess, and record the podometric indices using Photoshop CS5 software has been demonstrated. This provides a quick and accurate tool useful for the digital recording of morphostatic foot study parameters and their control.

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Lezina, T. A., T. A. Khorosheva, and A. V. Korosteleva. "Digital trace data as a tool for assessing competencies: the case of the Gazprom neft." PROneft’. Proffessional’no o nefti 6, no. 2 (June 30, 2021): 91–98. http://dx.doi.org/10.51890/2587-7399-2021-6-2-91-98.

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Large companies can use the analysis of employees’ digital trace data to increase the efficiency and objectivity of business processes of assessment of employee competencies. New technologies allow to accumulate data on the activities of employees related to their work performance in the information systems of companies. The results of employees training, protocols of their interaction on professional issues, the results of recruiting procedures form their digital footprints and can be used to regularly assess their professional growth. A significant problem in applying the idea of using digital footprints to assessing competencies is the choice of assessment metrics. At present, there are no described methods of using digital footprints of personnel. The objective of the work is to describe the case of using the digital footprints to assess the level of professional competencies of data science specialists from Gazprom Neft and describe the approach to assessing the professional competencies of employees using their digital data. Gazprom Neft has chosen as the assessment metric the level of competence employee development, which is determined through a set of “activities” of employees confirmed by digital artifacts, information about which is entered into the information system. The method for assessing the professional competencies of employees described in the article, was used as the basis for an approach to assessing competencies using digital data. This approach makes it possible to increase the efficiency of business processes in HR and can be used in companies of various industries and scales. The key advantages of the approach are its universality and objectivity. The results of the research can be used in companies that use a competency-based approach to the assessment of professional competencies of personnel, and form the first step in the development of the theory and practice of using digital traces of employees in company’s management.

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Ramon, Yanou, R. A. Farrokhnia, Sandra C. Matz, and David Martens. "Explainable AI for Psychological Profiling from Behavioral Data: An Application to Big Five Personality Predictions from Financial Transaction Records." Information 12, no. 12 (December 13, 2021): 518. http://dx.doi.org/10.3390/info12120518.

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Every step we take in the digital world leaves behind a record of our behavior; a digital footprint. Research has suggested that algorithms can translate these digital footprints into accurate estimates of psychological characteristics, including personality traits, mental health or intelligence. The mechanisms by which AI generates these insights, however, often remain opaque. In this paper, we show how Explainable AI (XAI) can help domain experts and data subjects validate, question, and improve models that classify psychological traits from digital footprints. We elaborate on two popular XAI methods (rule extraction and counterfactual explanations) in the context of Big Five personality predictions (traits and facets) from financial transactions data (N = 6408). First, we demonstrate how global rule extraction sheds light on the spending patterns identified by the model as most predictive for personality, and discuss how these rules can be used to explain, validate, and improve the model. Second, we implement local rule extraction to show that individuals are assigned to personality classes because of their unique financial behavior, and there exists a positive link between the model’s prediction confidence and the number of features that contributed to the prediction. Our experiments highlight the importance of both global and local XAI methods. By better understanding how predictive models work in general as well as how they derive an outcome for a particular person, XAI promotes accountability in a world in which AI impacts the lives of billions of people around the world.

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Journal articles on the topic 'Digital footprints'

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