Suchergebnisse - "DATA privacy"

BEHIND PRIVACY LABELS: DATA TRACKING AND ADVERTISING COMPETITION ON APP PLATFORMS.

Autoren: Gao, Yi Gu, Meilin Liu, Dengpan

Quelle: MIS Quarterly. Dec2025, Vol. 49 Issue 4, p1595-1626. 32p. 15 Color Photographs.

Schlagwörter: *INTERNET advertising, *ECONOMIC competition, *MOBILE app developers, DATA privacy, MOBILE apps, DATA, PRIVACY

LMVD: A large-scale multimodal vlog dataset for depression detection in the wild

Autoren: He, Lang Chen, Kai Zhao, Junnan et al.

Quelle: Information Fusion. 126(B):1-11

Schlagwörter: Deep Learning, Depression Detection, Multimodal, Transformer, Vlog, Behavioral Research, Data Privacy, Human Computer Interaction, Interactive Computer Systems, Large Datasets, Learning Systems, Multimedia Systems, Academic Achievements, Large-scales, Multi-modal, Multiple Dimensions, Overall Quality, Quality Of Life

Dateibeschreibung: print

Zugangs-URL: https://urn.kb.se/resolve?urn=urn:nbn:se:hh:diva-57350
https://doi.org/10.1016/j.inffus.2025.103632

PRIVACY CONCERNS AND DATA DONATIONS: DO SOCIETAL BENEFITS MATTER?

Autoren: Alashoor, Tawfiq Keil, Mark Jiang, Zhenhui (Jack) et al.

Quelle: MIS Quarterly. Jun2025, Vol. 49 Issue 2, p429-464. 36p. 18 Color Photographs, 1 Chart.

Schlagwörter: *COVID-19, DATA privacy, PERSONALLY identifiable information, MEDICAL research, PUBLIC health, ALTRUISM

Beyond the Checkbox: Upgrading the Right to Opt Out.

Autoren: Zimmeck, Sebastian¹ (AUTHOR) szimmeck@wesleyan.edu

Quelle: Communications of the ACM. Jul2025, Vol. 68 Issue 7, p23-25. 3p.

Schlagwörter: *RIGHT of privacy, *DATA protection laws, *AUTOMATION, *SYSTEMS design, DATA privacy

Practical Considerations for Adopting Generative AI Tools in Academic Libraries.

Autoren: Michalak, Russell Tzoc, Elias Lewis, J. Denice

Quelle: Journal of Library Administration. Jul2025, Vol. 65 Issue 5, p596-615. 20p.

Schlagwörter: *GENERATIVE artificial intelligence, *DATA privacy, *EDUCATION ethics, *ACADEMIC libraries, *UNIVERSITIES & colleges

Toward secure industrial internet of behaviours: a federated learning-based lightweight human behaviour recognition method with selective state space models.

Autoren: Hu, Bingtao Zhong, Ruirui Feng, Yixiong et al.

Quelle: International Journal of Production Research. Jan2025, p1-17. 17p. 7 Illustrations.

Schlagwörter: *TIME series analysis, *TIME management, HUMAN behavior, DATA privacy, RECOGNITION (Psychology)

Applying artificial intelligence in healthcare: lessons from the COVID-19 pandemic.

Autoren: Balasubramanian, Sreejith Shukla, Vinaya Islam, Nazrul et al.

Quelle: International Journal of Production Research. Jan2025, Vol. 63 Issue 2, p594-627. 34p.

Schlagwörter: *ALGORITHMIC bias, *ARTIFICIAL intelligence, DATA privacy, COMPUTER vision, MACHINE learning

Navigating challenges for supply chain transparency in the digital enterprises.

Autoren: Sonar, Harshad Ghag, Nikhil Kumar, Shashank et al.

Quelle: Supply Chain Management. 2025, Vol. 30 Issue 6, p836-853. 18p.

Schlagwörter: *DIGITAL transformation, *BUSINESS to business electronic commerce, *SUPPLY chain disruptions, *ORGANIZATIONAL transparency, *STANDARDIZATION, DATA privacy

Enabling Anonymous Online Streaming Analytics at the Network Edge.

Autoren: Xiao, Yunming Gu, Yanqi Zhao, Yibo et al.

Quelle: ACM Transactions on Computer Systems. Nov2025, Vol. 43 Issue 4, p1-39. 39p.

Schlagwörter: *BIG data, *COMPUTER network protocols, *REAL-time computing, DATA privacy, ANONYMITY, COOKIES (Computer science), COMMUNICATION infrastructure

A secure cross-silo collaborative method for imbalanced credit scoring.

Autoren: Wang, Zhongyi Tian, Yuhang Li, Sihan et al.

Quelle: European Journal of Operational Research. Oct2025, Vol. 326 Issue 2, p357-373. 17p.

Schlagwörter: *INFORMATION technology, *BORROWING capacity, DATA privacy, FEDERATED learning, COUNTERPARTY risk

AI and Telecommunication Privacy: Rethinking Legal Protections against Algorithmic Surveillance.

Autoren: Ul Mansoor, Sheikh Inam¹ sheikh.mansoor@slsh.edu.in

Quelle: Law, State & Telecommunications Review / Revista de Direito, Estado e Telecomunicações. Oct2025, Vol. 17 Issue 2, p86-107. 22p.

Schlagwörter: *TELECOMMUNICATION, *CONSUMER protection, *ARTIFICIAL intelligence, *GOVERNMENT regulation, PRIVACY, DATA privacy, TRACKING algorithms, CONSENT (Law)

Does Contracting Out Serve the Public Value in the Digital Era? Provider Choice of Local Governments in E-Government Service Delivery.

Autoren: Lin, Gangjian Xu, Yuanshuo Zhang, Weiwen

Quelle: Public Performance & Management Review. 2025, Vol. 48 Issue 6, p1482-1507. 26p.

Schlagwörter: *CONTRACTING out, *GOVERNMENT business enterprises, *INFORMATION technology management, *LOCAL government, PUBLIC value, DATA privacy, INTERNET in public administration

Geografische Kategorien: CHINA, ZHEJIANG Sheng (China)

Auxiliary information may reduce randomized response technique model privacy.

Autoren: Parker, Michael Gupta, Sat Khalil, Sadia

Quelle: Communications in Statistics: Simulation & Computation. Nov2025, p1-11. 11p. 4 Illustrations.

Schlagwörter: *QUANTITATIVE research, RANDOMIZED response, DATA privacy, STATISTICAL models, ANONYMITY

The Challenge of Generating and Evolving Real‐Life Like Synthetic Test Data Without Accessing Real‐World Raw Data—A Systematic Review.

Autoren: Tammisto, Maj‐Annika Shah, Faiz Ali Rodriguez, Daniel et al.

Quelle: Expert Systems. Dec2025, Vol. 42 Issue 12, p1-24. 24p.

Schlagwörter: PRIVACY, DATA privacy, DYNAMIC testing, RESEARCH methodology

Traversal Learning Coordination for Lossless and Efficient Distributed Learning.

Autoren: Batbaatar, Erdenebileg Kim, Jeonggeol Kim, Yongcheol et al.

Quelle: Expert Systems. Nov2025, Vol. 42 Issue 11, p1-18. 18p.

Schlagwörter: FEDERATED learning, DATA privacy, RESEARCH evaluation, LEARNING, MACHINE learning

Endogenous Outside Option and Data Privacy.

Autoren: Tan, Teck Yong¹ (AUTHOR) t.tan@rochester.edu

Quelle: RAND Journal of Economics (Wiley-Blackwell). Nov2025, p1. 18p. 3 Illustrations.

Schlagwörter: *MONOPOLIES, *POWER (Social sciences), *DATA protection, DATA privacy

Privacy-aware Gaussian Process Regression.

Autoren: Tuo, Rui Chen, Haoyuan Bhattacharya, Raktim

Quelle: Technometrics. Oct2025, p1-15. 15p. 9 Illustrations.

Schlagwörter: PRIVACY, DATA privacy, GAUSSIAN processes, STATISTICAL measurement, SEMIDEFINITE programming, MACHINE learning, SUPERVISED learning

Commitment-trust theory in social media interactions: implications for firms.

Autoren: Rashidi-Sabet, Siavash Bolton, Dorcia E.

Quelle: Journal of Marketing Management. Oct2024, Vol. 40 Issue 13/14, p1300-1335. 36p.

Schlagwörter: *ARTIFICIAL intelligence, DATA privacy, SOCIAL anxiety, VIRTUAL reality, TRUST

Smart services and privacy, can we have both?

Autoren: Chen, Sihua Wang, Weidong Wen, Xiang et al.

Quelle: International Journal of Production Research. Oct2024, Vol. 62 Issue 20, p7432-7446. 15p.

Schlagwörter: *CONSUMERS' surplus, *QUALITY of service, *INFORMATION asymmetry, *OPPORTUNITY costs, DATA privacy

AUTOMATED ANALYSIS OF CHANGES IN PRIVACY POLICIES: A STRUCTURED SELF-ATTENTIVE SENTENCE EMBEDDING APPROACH.

Autoren: Lin, Fangyu Samtani, Sagar Zhu, Hongyi et al.

Quelle: MIS Quarterly. Dec2024, Vol. 48 Issue 4, p1453-1482. 30p. 23 Color Photographs.

Schlagwörter: *BUSINESS enterprises, *GENERAL Data Protection Regulation, 2016, *SOFTWARE as a service, DATA privacy, DEEP learning, MACHINE learning