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Q&A with Amy Lanzi, CEO of marketing and ad agency Digitas, on digital marketing, AI's impact on advertising, the creator economy, and more (Hank Green/The Verge)
https://www.theverge.com/decoder-podcast-w

How brands and creators are fighting for your attention — and your money
Guest host Hank Green sits down with Digitas CEO Amy Lanzi to demystify digital marketing and explain why the fight for your attention has grown so fierce.

Q&A with Amy Lanzi, CEO of marketing and ad agency Digitas, on digital marketing, AI's impact on advertising, the creator economy, and more (Hank Green/The Verge)
https://www.theverge.com/decoder-podcast-w

How brands and creators are fighting for your attention — and your money
Guest host Hank Green sits down with Digitas CEO Amy Lanzi to demystify digital marketing and explain why the fight for your attention has grown so fierce.

Beyond Private or Public: Large Language Models as Quasi-Public Goods in the AI Economy
Yukun Zhang, TianYang Zhang
https://arxiv.org/abs/2509.13265 https://

Beyond Private or Public: Large Language Models as Quasi-Public Goods in the AI Economy
This paper conceptualizes Large Language Models (LLMs) as a form of mixed public goods within digital infrastructure, analyzing their economic properties through a comprehensive theoretical framework. We develop mathematical models to quantify the non-rivalry characteristics, partial excludability, and positive externalities of LLMs. Through comparative analysis of open-source and closed-source development paths, we identify systematic differences in resource allocation efficiency, innovation t…

Trump’s nominee to run the Bureau of Labor Statistics told Fox News Digital on Monday that the agency should suspend monthly jobs reports
-- a change that could leave businesses and policymakers at least temporarily without the data they’ve used for decades to gauge the state of the labor market and broader economy.

E.J. Antoni, the chief economist at the conservative Heritage Foundation,
whom Trump nominated Monday to lead the federal statistical agency,
has repeatedl…

Trump’s pick for BLS commissioner endorses suspending monthly jobs reports
“The BLS should suspend issuing the monthly job reports,” E.J. Antoni, President Donald Trump’s pick to lead the federal statistical agency, said on Fox News Digital.

PubSub-VFL: Towards Efficient Two-Party Split Learning in Heterogeneous Environments via Publisher/Subscriber Architecture
Yi Liu, Yang Liu, Leqian Zheng, Jue Hong, Junjie Shi, Qingyou Yang, Ye Wu, Cong Wang
https://arxiv.org/abs/2510.12494

PubSub-VFL: Towards Efficient Two-Party Split Learning in Heterogeneous Environments via Publisher/Subscriber Architecture
With the rapid advancement of the digital economy, data collaboration between organizations has become a well-established business model, driving the growth of various industries. However, privacy concerns make direct data sharing impractical. To address this, Two-Party Split Learning (a.k.a. Vertical Federated Learning (VFL)) has emerged as a promising solution for secure collaborative learning. Despite its advantages, this architecture still suffers from low computational resource utilization…

Digital Transformation and Corporate Financial Asset Allocation: Evidence from China
Yundan Guo, Han Liang, Li Shen
https://arxiv.org/abs/2509.09095 https://

Digital Transformation and Corporate Financial Asset Allocation: Evidence from China
Against the backdrop of rapid technological advancement and the deepening digital economy, this study examines the causal impact of digital transformation on corporate financial asset allocation in China. Using data from A-share listed companies from 2010 to 2022, we construct a firm-level digitalization index based on text analysis of annual reports and differentiate financial asset allocation into long-term and short-term dimensions. Employing fixed-effects models and a staggered difference-i…

For Bandcamp Friday I have put my entire digital discography on sale for 50% off. That's $26 for seven full-length albums, over six hours of music. Thanks for listening.
https://blakeleyh.bandcamp.com/album/the-apprentice-to-the-surgeon-of-the-nightsky

A Stream Pipeline Framework for Digital Payment Programming based on Smart Contracts
Zijia Meng, Victor Feng
https://arxiv.org/abs/2508.21075 https://arxiv…

A Stream Pipeline Framework for Digital Payment Programming based on Smart Contracts
Digital payments play a pivotal role in the burgeoning digital economy. Moving forward, the enhancement of digital payment systems necessitates programmability, going beyond just efficiency and convenience, to meet the evolving needs and complexities. Smart contract platforms like Central Bank Digital Currency (CBDC) networks and blockchains support programmable digital payments. However, the prevailing paradigm of programming payment logics involves coding smart contracts with programming lang…

Product Digital Twin Supporting End-of-life Phase of Electric Vehicle Batteries Utilizing Product-Process-Resource Asset Network
Sara Strakosova, Petr Novak, Petr Kadera
https://arxiv.org/abs/2510.02167

Product Digital Twin Supporting End-of-life Phase of Electric Vehicle Batteries Utilizing Product-Process-Resource Asset Network
In the context of the circular economy, products in their end-of-life phase should be either remanufactured or recycled. Both of these processes are crucial for sustainability and environmental conservation. However, manufacturers often do not support these processes enough by not sharing relevant data. This paper proposes use of a digital twin technology, which is capable to help optimizing the disassembly processes to reduce ecological impact and enhance sustainability. The proposed approach …

Learning-Enabled Adaptive Power Capping Scheme for Cloud Data Centers
Yimeng Sun, Zhaohao Ding, Payman Dehghanian, Fei Teng
https://arxiv.org/abs/2508.06994 https://

Learning-Enabled Adaptive Power Capping Scheme for Cloud Data Centers
The rapid growth of the digital economy and artificial intelligence has transformed cloud data centers into essential infrastructure with substantial energy consumption and carbon emission, necessitating effective energy management. However, existing methods face challenges such as incomplete information, uncertain parameters, and dynamic environments, which hinder their real-world implementation. This paper proposes an adaptive power capping framework tailored to cloud data centers. By dynamic…

A New Digital Divide? Coder Worldviews, the Slop Economy, and Democracy in the Age of AI
Jason Miklian, Kristian Hoelscher
https://arxiv.org/abs/2510.04755 https://

A New Digital Divide? Coder Worldviews, the Slop Economy, and Democracy in the Age of AI
Digital technologies are transforming democratic life in conflicting ways. This article bridges two perspectives to unpack these tensions. First, we present an original survey of software developers in Silicon Valley, interrogating how coder worldviews, ethics, and workplace cultures shape the democratic potential and social impact of the technologies they build. Results indicate that while most developers recognize the power of their products to influence civil liberties and political discours…

The Role of Digital Payments in Driving Regional Economic Growth: A Panel Data Analysis with Structural Break
Wishnu Badrawani, Citra Amanda, Novi Maryaningsih, Carla Sheila Wulandari
https://arxiv.org/abs/2508.02119

The Role of Digital Payments in Driving Regional Economic Growth: A Panel Data Analysis with Structural Break
Using a panel payment system dataset of thirty-three provinces in Indonesia, we examine the impact of digital payment on the regional economy, considering structural breaks induced by unprecedented events and policies. Digital payments were determined to significantly affect regional income and consumption before and after the identified breakpoint, with the impact greater following the break. Employing a novel method for structural break analysis within interactive effects panel data, we demon…

"A key principle of PKM is that no one has the right answer, but together we can create better ways of understanding complex systems. We each need to find others who are sharing their knowledge flow and in turn contribute our own. It’s not about being a better digital librarian, it’s about becoming a participating member of a networked organization, economy and society."
@…

Data as Commodity: a Game-Theoretic Principle for Information Pricing
Pasquale Casaburi, Giovanni Piccioli, Pierpaolo Vivo
https://arxiv.org/abs/2510.07101 https://

Data as Commodity: a Game-Theoretic Principle for Information Pricing
Data is the central commodity of the digital economy. Unlike physical goods, it is non-rival, replicable at near-zero cost, and traded under heterogeneous licensing rules. These properties defy standard supply--demand theory and call for new pricing principles. We propose a game-theoretic approach in which the value of a data string emerges from strategic competition among N players betting on an underlying stochastic process, each holding partial information about past outcomes. A better-infor…

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We need honest news media now, more than ever, that report facts and provide insight into our economy and the risks that …

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No Such Thing as Free Brain Time: For a Pigouvian Tax on Attention Capture
Hamza Belgroun (Sciences Po, UniCA, CNRS, WIMMICS, Laboratoire I3S - SPARKS), Franck Michel (Laboratoire I3S - SPARKS, WIMMICS), Fabien Gandon (WIMMICS, Laboratoire I3S - SPARKS)
https://arxiv.org/abs/2509.06453

No Such Thing as Free Brain Time: For a Pigouvian Tax on Attention Capture
In our age of digital platforms, human attention has become a scarce and highly valuable resource, rivalrous, tradable, and increasingly subject to market dynamics. This article explores the commodification of attention within the framework of the attention economy, arguing that attention should be understood as a common good threatened by over-exploitation. Drawing from philosophical, economic, and legal perspectives, we first conceptualize attention not only as an individual cognitive process…

Dynamic Forgetting and Spatio-Temporal Periodic Interest Modeling for Local-Life Service Recommendation
Zhaoyu Hu, Hao Guo, Yuan Tian, Erpeng Xue, Jianyang Wang, Xianyang Qi, Hongxiang Lin, Lei Wang, Sheng Chen
https://arxiv.org/abs/2508.02451

Dynamic Forgetting and Spatio-Temporal Periodic Interest Modeling for Local-Life Service Recommendation
In the context of the booming digital economy, recommendation systems, as a key link connecting users and numerous services, face challenges in modeling user behavior sequences on local-life service platforms, including the sparsity of long sequences and strong spatio-temporal dependence. Such challenges can be addressed by drawing an analogy to the forgetting process in human memory. This is because users' responses to recommended content follow the recency effect and the cyclicality of memory…

Ethereum Conflicts Graphed
Dvir David Biton, Roy Friedman, Yaron Hay
https://arxiv.org/abs/2507.20196 https://arxiv.org/pdf/2507.20196

Ethereum Conflicts Graphed
Ethereum, a leading blockchain platform, has revolutionized the digital economy by enabling decentralized transactions and the execution of smart contracts. Ethereum transactions form the backbone of its network, facilitating peer-to-peer exchanges and interactions with complex decentralized applications. Smart contracts extend Ethereum's capabilities by automating processes and enabling trustless execution of agreements. Hence, understanding how these smart contracts interact is important in o…

SEA-Spoof: Bridging The Gap in Multilingual Audio Deepfake Detection for South-East Asian
Jinyang Wu, Nana Hou, Zihan Pan, Qiquan Zhang, Sailor Hardik Bhupendra, Soumik Mondal
https://arxiv.org/abs/2509.19865

SEA-Spoof: Bridging The Gap in Multilingual Audio Deepfake Detection for South-East Asian
The rapid growth of the digital economy in South-East Asia (SEA) has amplified the risks of audio deepfakes, yet current datasets cover SEA languages only sparsely, leaving models poorly equipped to handle this critical region. This omission is critical: detection models trained on high-resource languages collapse when applied to SEA, due to mismatches in synthesis quality, language-specific characteristics, and data scarcity. To close this gap, we present SEA-Spoof, the first large-scale Audio…

Navigating Equity and Reflexive Practices in Gigwork Design: A Journey Mapping Experience
Alicia E. Boyd, Danielle Cummings, Angie Zhang
https://arxiv.org/abs/2509.16808 https:/…

Navigating Equity and Reflexive Practices in Gigwork Design: A Journey Mapping Experience
How do we create ethical and equitable experiences on global platforms? How might UX designers and developers incorporate reflexive practices--a continuous self-evaluation of one's assumptions and biases--to mitigate assumptions and workers' experience? This tutorial will explore ways to build equitable user experiences using gig work platforms as a target use case. With the rise of gig work platforms, the informal digital economy has altered how algorithmic systems manage occasional workers; i…

Modeling User Redemption Behavior in Complex Incentive Digital Environment: An Empirical Study Using Large-Scale Transactional Data
Akira Matsui, Takashi Teramoto, Eiji Motohashi, Hiroyuki Tsurumi
https://arxiv.org/abs/2509.14508

Modeling User Redemption Behavior in Complex Incentive Digital Environment: An Empirical Study Using Large-Scale Transactional Data
The digital economy implements complex incentive systems to retain users through point redemption. Understanding user behavior in such complex incentive structures presents a fundamental challenge, especially in estimating the value of these digital assets against traditional money. This study tackles this question by analyzing large-scale, real-world transaction data from a popular personal finance application that captures both monetary spending and point-based transactions across Japan's dee…

Green Computing: The Ultimate Carbon Destroyer for a Sustainable Future
Sayed Mahbub Hasan Amiri, Prasun Goswami, Md. Mainul Islam, Mohammad Shakhawat Hossen, Marzana Mithila, Naznin Akter
https://arxiv.org/abs/2508.00153

Green Computing: The Ultimate Carbon Destroyer for a Sustainable Future
Green computing represents a critical pathway to decarbonize the digital economy while maintaining technological progress. This article examines how sustainable IT strategies including energy-efficient hardware, AI-optimized data centres, and circular e-waste systems can transform computing into a net carbon sink. Through analysis of industry best practices and emerging technologies like quantum computing and biodegradable electronics, we demonstrate achievable reductions of 40-60% in energy co…

Profit over Proxies: A Scalable Bayesian Decision Framework for Optimizing Multi-Variant Online Experiments
Srijesh Pillai, Rajesh Kumar Chandrawat
https://arxiv.org/abs/2509.22677

Profit over Proxies: A Scalable Bayesian Decision Framework for Optimizing Multi-Variant Online Experiments
Online controlled experiments (A/B tests) are fundamental to data-driven decision-making in the digital economy. However, their real-world application is frequently compromised by two critical shortcomings: the use of statistically flawed heuristics like "p-value peeking", which inflates false positive rates, and an over-reliance on proxy metrics like conversion rates, which can lead to decisions that inadvertently harm core business profitability. This paper addresses these challenges by intro…