4期

最新文章

• Social Identity Theory and Algorithmic Bias: Ingroup and Outgroup Acrophily in Recommender Systems AI翻译
  作者：Carrasco-Farre, Carlos; Grimaldi, Didier; Torrens, Marc; Longobuco, Enzo
  作者单位：Communaute d'universites et etablissements de Toulouse (Comue); TBS Education; Universitat Politecnica de Catalunya; Universitat Ramon Llull; Escuela Superior de Administracion y Direccion de Empresas (ESADE)
  摘要：Recommender systems exert a substantial influence on the exposure to political content; however, their role in social polarization remains inadequately explored. This study investigates whether these systems exacerbate biases derived from Social Identity Theory: ingroup acrophily (the preference for extreme content that aligns with one's political views) and outgroup acrophily (the exposure to extreme opposing content). By analyzing over 300,000 YouTube videos and 1.7 million recommendation li...
• Defending Deep Learning-Based Raw Malware Detectors Against Adversarial Attacks: A Sequence Modeling Approach AI翻译
  作者：Ebrahimi, Reza; Hu, James Lee; Zhang, Ning; Nunamaker Jr, Jay F.; Chen, Hsinchun
  作者单位：State University System of Florida; University of South Florida; University of Arizona
  摘要：Malware detectors are the first line of defense against cyber-attacks that damage Information Technology (IT) infrastructure. Recently, deep learning (DL)-based malware detectors have yielded breakthrough results in identifying unseen attacks without requiring feature engineering and expensive dynamic malware analysis in a sandbox. However, these detectors are susceptible to adversarial malware attacks. Emulating effective adversarial malware variants is instrumental in revealing the vulnerabi...
• Turning Off Your Better Judgment: Algorithmic Conformity in Artificial Intelligence-Human Collaboration AI翻译
  作者：Liel, Yotam; Zalmanson, Lior
  作者单位：Tel Aviv University
  摘要：As artificial intelligence (AI) becomes increasingly integral to society, humans' tendency to forgo their own judgment to adopt algorithmic advice is eliciting substantial concern. Prior research suggests that such overreliance is driven by informational influences (confidence in AI's superior judgment) or by desire to reduce attentional load. We propose a new mechanism: normative pressure, stemming from the legitimacy afforded to algorithms within social or work-related structures. Using a se...
• From Resistance to Retention: Passive Innovation Resistance and Post-Adoption Usage of Digital Services AI翻译
  作者：Schaarschmidt, Mario; Heidenreich, Sven; Bertram, Matthias
  作者单位：University of Duisburg Essen; Saarland University; Hochschule Bonn Rhein Sieg
  摘要：In the digital economy, understanding user behavior in post-adoption stages is essential for sustained revenue. This paper investigates the role of passive innovation resistance for digital service usage during these stages, an area that has received limited attention. Through a predictive field study (nt1 = 511, nt2 = 356) over five weeks and an experiment (n = 190), we analyze how passive innovation resistance affects user loyalty when modular changes to service business models are introduce...
• Editorial Introduction AI翻译
  作者：Zwass, Vladimir
• When Good Intentions Backfire: The Asymmetric Effects of Minority-Ownership Markers for Businesses on Online Platforms AI翻译
  作者：Kim, Antino; Liu, Che-Wei
  作者单位：Indiana University System; Indiana University Bloomington; IU Kelley School of Business; Arizona State University; Arizona State University-Tempe
  摘要：Many online platforms have introduced markers that identify and highlight minority-owned businesses. This study examines whether such markers produce observable benefits for the targeted minority-owned businesses, whether there are unintended effects, and what mechanisms may explain these outcomes. Such markers may have differing effects on users depending on their level of motivation to support minority-owned businesses. Additionally, these markers may serve as a reminder of biases and lead c...
• Generative Blockchain: Transforming Blockchain from Transaction Recording to Transaction Generation through Proof-of-Merit AI翻译
  作者：Zhang, Haozhao; Zhang, Zhe (James); Zheng, Zhiqiang (Eric); Jacob, Varghese S.
  作者单位：The Chinese University of Hong Kong, Shenzhen; University of Texas System; University of Texas Dallas
  摘要：This paper proposes a new type of blockchain, generative blockchain, that aims to transform the conventional blockchain from the focus of transaction-recording to transaction generation. The key to our design of generative blockchain lies in a novel consensus mechanism, proof-of-merit (PoM), that is uniquely designed for environments where businesses must solve complex problems before transactions find their place on the blockchain. PoM integrates the generation and recording of transactions w...
• Dependency Network Structure and Security Vulnerabilities in Software Supply Chains AI翻译
  作者：Yoo, Eunae; Craighead, Christopher W.; Samtani, Sagar
  作者单位：Indiana University System; IU Kelley School of Business; Indiana University Bloomington; University of Tennessee System; University of Tennessee Knoxville; Indiana University System; IU Kelley School of Business; Indiana University Bloomington
  摘要：Software packages can be susceptible to attack whenever they utilize dependencies containing security vulnerabilities (vulnerable dependencies). We theorize that the likelihood of relying on vulnerable dependencies is heightened by two structural dimensions of dependency networks: complexity (dependency count) and tight coupling (interdependence). Analyzing 40,049 packages, we find that complexity is positively associated with this likelihood and that vertical complexity (depth) plays a more p...
• Leveraging Large Language Models for Hate Speech Detection: Multi-Agent, Information-Theoretic Prompt Learning for Enhancing Contextual Understanding AI翻译
  作者：Lee, Kyuhan; Ram, Sudha
  作者单位：Korea University; University of Arizona
  摘要：An essential component in combating hate speech is the development of effective computational algorithms. While prior research has proposed a range of methods for hate speech detection, they often fall short in addressing the complex nature of hate speech, which is characterized by its nuanced nature, the diversity of its forms, and the heterogeneous motivations behind it. To address these limitations, we introduce a novel prompt-learning framework for hate speech detection. Our approach offer...
• Assortment Planning at an Omni-Channel Retailer: Long-Tail Strategy, Demand Fulfillment Level, and Primary Channel AI翻译
  作者：Sapra, Amar; Kumar, Subodha
  作者单位：Indian Institute of Management (IIM System); Indian Institute of Management Bangalore; Pennsylvania Commonwealth System of Higher Education (PCSHE); Temple University
  摘要：In this study, we develop insights on three key aspects related to omni-channel assortment: product popularity, demand fulfillment level, and channel primacy. Regarding product popularity, we probe whether conventional wisdom of selling popular products through the physical channel and niche products through the online channel is always optimal. Our results show that this suggestion may be sub-optimal when the price in the online channel is greater or customers are heterogeneous in their prefe...