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A Systematic Mapping Study on Open Source Agriculture Technology Research
Kevin Lumbard, Vinod Kumar Ahuja, Matt Cantu Snell
https://arxiv.org/abs/2507.08103

A Systematic Mapping Study on Open Source Agriculture Technology Research
Agriculture contributes trillions of dollars to the US economy each year. Digital technologies are disruptive forces in agriculture. The open source movement is beginning to emerge in agriculture technology and has dramatic implications for the future of farming and agriculture digital technologies. The convergence of open source and agriculture digital technology is observable in scientific research, but the implications of open source ideals related to agriculture technology have yet to be ex…

Malaysia Charts Its Digital Course: A Guide to the New Frameworks for Data Protection and AI Ethics
https://fpf.org/blog/malaysia-charts-its-digital-course-a-guide-to-the-new-frameworks-for-data-protection-and…

so why don't we make @… vice-president of the european commission in charge of tech sovereignity, digital and internet things? https://berthub.eu/articles/po…

Grow a Garden, a hit game on Roblox, has spawned a market where in-game items are sold for real money on sites like eBay, potentially violating Roblox's ToS (Cecilia D'Anastasio/Bloomberg)
https://www.bloomberg.com/news/articles/20…

Poisoning Attacks to Local Differential Privacy for Ranking Estimation
Pei Zhan (School of Cyber Science and Technology, Shandong University, State Key Laboratory of Cryptography and Digital Economy Security, Shandong University, Qingdao, China), Peng Tang (School of Cyber Science and Technology, Shandong University, State Key Laboratory of Cryptography and Digital Economy Security, Shandong University, Qingdao, China), Yangzhuo Li (School of Cyber Science and Technology, Shandong Univ…

Poisoning Attacks to Local Differential Privacy for Ranking Estimation
Local differential privacy (LDP) involves users perturbing their inputs to provide plausible deniability of their data. However, this also makes LDP vulnerable to poisoning attacks. In this paper, we first introduce novel poisoning attacks for ranking estimation. These attacks are intricate, as fake attackers do not merely adjust the frequency of target items. Instead, they leverage a limited number of fake users to precisely modify frequencies, effectively altering item rankings to maximize ga…

Vers un cadre ontologique pour la gestion des comp{\'e}tences : {\`a} des fins de formation, de recrutement, de m{\'e}tier, ou de recherches associ{\'e}es
Ngoc Luyen Le (Heudiasyc), Marie-H\'el\`ene Abel (Heudiasyc), Bertrand Laforge (LPNHE)
https://arxiv.org/abs/2507.05767…

Vers un cadre ontologique pour la gestion des comp{é}tences : {à} des fins de formation, de recrutement, de m{é}tier, ou de recherches associ{é}es
The rapid transformation of the labor market, driven by technological advancements and the digital economy, requires continuous competence development and constant adaptation. In this context, traditional competence management systems lack interoperability, adaptability, and semantic understanding, making it difficult to align individual competencies with labor market needs and training programs. This paper proposes an ontology-based framework for competence management, enabling a structured re…

This https://arxiv.org/abs/2205.09337 has been replaced.
link: https://scholar.google.com/scholar?q=a

Deep Learning in Business Analytics: A Clash of Expectations and Reality
Our fast-paced digital economy shaped by global competition requires increased data-driven decision-making based on artificial intelligence (AI) and machine learning (ML). The benefits of deep learning (DL) are manifold, but it comes with limitations that have, so far, interfered with widespread industry adoption. This paper explains why DL, despite its popularity, has difficulties speeding up its adoption within business analytics. It is shown that the adoption of deep learning is not only aff…

Trial Length, Pricing, and Rationally Inattentive Customers
F. Nguyen
https://arxiv.org/abs/2507.06422 https://arxiv.org/pdf/2507.064…

Trial Length, Pricing, and Rationally Inattentive Customers
The "free trial" followed by automatic renewal is a dominant business model in the digital economy. Standard models explain trials as a mechanism for consumers to learn their valuation for a product. We propose a complementary theory based on the rational inattention framework. Consumers know their valuation but face a cognitive cost to remember to cancel an unwanted subscription. We model this using a Shannon entropy-based cost of information processing, where a consumer's baseline attention l…

Towards Network Data Analytics in 5G Systems and Beyond
Marcos Lima Romero, Ricardo Suyama
https://arxiv.org/abs/2506.04860 https://a…

Towards Network Data Analytics in 5G Systems and Beyond
Data has become a critical asset in the digital economy, yet it remains underutilized by Mobile Network Operators (MNOs), unlike Over-the-Top (OTT) players that lead global market valuations. To move beyond the commoditization of connectivity and deliver greater value to customers, data analytics emerges as a strategic enabler. Using data efficiently is essential for unlocking new service opportunities, optimizing operational efficiency, and mitigating operational and business risks. Since Rele…

Authentication and authorization in Data Spaces: A relationship-based access control approach for policy specification based on ODRL
Irene Plaza-Ortiz, Andres Munoz-Arcentales, Joaqu\'in Salvach\'ua, Carlos Aparicio, Gabriel Huecas, Enrique Barra
https://arxiv.org/abs/2505.24742 …

Authentication and authorization in Data Spaces: A relationship-based access control approach for policy specification based on ODRL
Data has become a crucial resource in the digital economy, fostering initiatives for secure and sovereign data sharing frameworks such as Data Spaces. However, these distributed environments require fine-grained access control mechanisms that balance openness with sovereignty and security. This paper proposes an extension of the Open Digital Rights Language (ODRL) standard, the ODRL Data Spaces (ODS) profile, aimed at supporting authorization and complementing existing authentication mechanisms…

Measuring Social Media Network Effects
Sinan Aral, Seth G Benzell, Avinash Collis, Christos Nicolaides
https://arxiv.org/abs/2507.04545 https://

Measuring Social Media Network Effects
We use representative, incentive-compatible online choice experiments involving 19,923 Facebook, Instagram, LinkedIn, and X users in the US to provide the first large-scale, empirical measurement of local network effects in the digital economy. Our analysis reveals social media platform value ranges from $78 to $101 per consumer, per month, on average, and that 20-34% of that value is explained by local network effects. We also find 1) stronger ties are more valuable on Facebook and Instagram, …

Computational Studies in Influencer Marketing: A Systematic Literature Review
Haoyang Gui, Thales Bertaglia, Catalina Goanta, Gerasimos Spanakis
https://arxiv.org/abs/2506.14602

Computational Studies in Influencer Marketing: A Systematic Literature Review
Influencer marketing has become a crucial feature of digital marketing strategies. Despite its rapid growth and algorithmic relevance, the field of computational studies in influencer marketing remains fragmented, especially with limited systematic reviews covering the computational methodologies employed. This makes overarching scientific measurements in the influencer economy very scarce, to the detriment of interested stakeholders outside of platforms themselves, such as regulators, but also…