Information Systems Frontiers最新文献

Understanding Human-AI Augmentation in the Workplace: A Review and a Future Research Agenda

IF 5.9 3区管理学

Information Systems Frontiers Pub Date : 2025-03-04 DOI: 10.1007/s10796-025-10591-5

Trinh Nguyen, Amany Elbanna

引用次数: 0

Fake News Detection Model with Hybrid Features—News Text, Image, and Social Context

IF 5.9 3区管理学

Information Systems Frontiers Pub Date : 2025-03-03 DOI: 10.1007/s10796-025-10589-z

Szu-Yin Lin, Ya-Han Hu, Pei-Ju Lee, Yi-Hua Zeng, Chi-Min Chang, Hsiao-Chuan Chang

{"title":"Fake News Detection Model with Hybrid Features—News Text, Image, and Social Context","authors":"Szu-Yin Lin, Ya-Han Hu, Pei-Ju Lee, Yi-Hua Zeng, Chi-Min Chang, Hsiao-Chuan Chang","doi":"10.1007/s10796-025-10589-z","DOIUrl":"https://doi.org/10.1007/s10796-025-10589-z","url":null,"abstract":"With the evolving realm of news propagation and the surge in social media usage, detecting and combatting fake news has become an increasingly important issue. Currently, fake news detection employs three main feature categories: news text, social context, and news images. However, most studies emphasize just one, while only a limited number incorporate image features. This study presents an innovative hybrid fake news detection model amalgamating text mining technology to extract news text features, user information on Twitter to extract social context features, and VGG19 model to extract news image features to increase the model's accuracy. We harness four diverse machine learning algorithms (Logistic Regression, Random Forest, Support Vector Machine, and Extreme Gradient Boosting) to construct models and evaluate their performance via Precision, Recall, F1-Score, and Accuracy metrics. Results indicate the fusion of news text, social context, and image features outperforms their individual application, yielding a noteworthy 92.5% overall accuracy. Significantly, social context attributes, encompassing users, publishers, and distribution networks, contribute crucial insights into detecting early-stage fake news dissemination. Consequently, our study bolsters fact-checking entities by furnishing them with news-content insights for verification and equips social media platforms with a potent fake news detection model—comprising news content, imagery, and user-centric social context data—to discern erroneous information.","PeriodicalId":13610,"journal":{"name":"Information Systems Frontiers","volume":"67 1","pages":""},"PeriodicalIF":5.9,"publicationDate":"2025-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143538811","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A Comparison of ‘Organizing Forces’ on Reddit and YouTube Networks: Insights From the France Riots of 2023

IF 5.9 3区管理学

Information Systems Frontiers Pub Date : 2025-03-01 DOI: 10.1007/s10796-025-10587-1

Pramukh Nanjundaswamy Vasist, Satish Krishnan, Nasreen Azad, Nandakumar Mekoth

{"title":"A Comparison of ‘Organizing Forces’ on Reddit and YouTube Networks: Insights From the France Riots of 2023","authors":"Pramukh Nanjundaswamy Vasist, Satish Krishnan, Nasreen Azad, Nandakumar Mekoth","doi":"10.1007/s10796-025-10587-1","DOIUrl":"https://doi.org/10.1007/s10796-025-10587-1","url":null,"abstract":"Social networks are highly effective in mobilizing individuals toward collective action. However, such endeavors to rally large groups risk escalating into violent actions, eroding social unity and provoking societal unrest. The information consumption patterns vary considerably across different platforms through which it is disseminated, with platform-specific characteristics significantly impacting how users interact and disseminate information. Nevertheless, this distinctive characteristic has received minimal attention in the literature. Considering these differences, we seek to understand the mechanisms underlying information dissemination on social networks in the context of mob violence and protests. We conducted a comparative analysis of communication on the Reddit and YouTube networks about the riots in France in 2023. By utilizing social network analysis, we clarify the differences in information dissemination across these networks and contribute to information systems literature on social media actions with theoretical and methodological insights into the dissemination of information about riots.","PeriodicalId":13610,"journal":{"name":"Information Systems Frontiers","volume":"12 1","pages":""},"PeriodicalIF":5.9,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143526499","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Generative Artificial Intelligence: Evolving Technology, Growing Societal Impact, and Opportunities for Information Systems Research

IF 5.9 3区管理学

Information Systems Frontiers Pub Date : 2025-02-25 DOI: 10.1007/s10796-025-10581-7

Veda C. Storey, Wei Thoo Yue, J. Leon Zhao, Roman Lukyanenko

{"title":"Generative Artificial Intelligence: Evolving Technology, Growing Societal Impact, and Opportunities for Information Systems Research","authors":"Veda C. Storey, Wei Thoo Yue, J. Leon Zhao, Roman Lukyanenko","doi":"10.1007/s10796-025-10581-7","DOIUrl":"https://doi.org/10.1007/s10796-025-10581-7","url":null,"abstract":"The continuing, explosive developments in generative artificial intelligence (GenAI), built on large language models and related algorithms, has led to much excitement and speculation about the potential impact of this new technology. Claims include artificial intelligence (AI) being poised to revolutionize business and society and dramatically change personal life. However, it is not clear how this technology, with its significantly distinct features from past AI technologies, has transformative potential or how researchers in information systems should react to it. In this paper, we consider the evolving and emerging trends of AI in order to examine its present and predict its future impacts. Many existing papers on GenAI are either too technical for most information systems researchers or lack the depth needed to appreciate the potential impacts of GenAI. We, therefore, attempt to bridge the technical and organizational communities of GenAI from a system-oriented sociotechnical perspective. Specifically, we explore the unique features of GenAI, which are rooted in the continued change from symbolism to connectionism, and the deep systemic and inherent properties of human-AI ecosystems. We retrace the evolution of AI that proceeded the level of adoption, adaption, and use found today, in order to propose future research on various impacts of GenAI in both business and society within the context of information systems research. Our efforts are intended to contribute to the creation of a well-structured research agenda in the information systems community to support innovative strategies and operations enabled by this new wave of AI.","PeriodicalId":13610,"journal":{"name":"Information Systems Frontiers","volume":"27 1","pages":""},"PeriodicalIF":5.9,"publicationDate":"2025-02-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143486027","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Enhancing Trustworthiness in Real Time Single Object Detection

IF 5.9 3区管理学

Information Systems Frontiers Pub Date : 2025-02-19 DOI: 10.1007/s10796-025-10584-4

Konstantinos Tarkasis, Konstantinos Kaparis, Andreas C. Georgiou

引用次数: 0

Being Responsible in Cybersecurity: A Multi-Layered Perspective

IF 5.9 3区管理学

Information Systems Frontiers Pub Date : 2025-02-19 DOI: 10.1007/s10796-025-10588-0

Niki Panteli, Boineelo R Nthubu, Konstantinos Mersinas

引用次数: 0

A Systematic Security Analysis for Beyond 5G Non-Access Stratum Protocol from the Perspective of Network Coexistence

IF 5.9 3区管理学

Information Systems Frontiers Pub Date : 2025-02-18 DOI: 10.1007/s10796-025-10586-2

Zhiwei Cui, Baojiang Cui, Jie Xu, Junsong Fu

引用次数: 0

Reimagining Higher Education: Navigating the Challenges of Generative AI Adoption

IF 5.9 3区管理学

Information Systems Frontiers Pub Date : 2025-02-13 DOI: 10.1007/s10796-025-10582-6

Laurie Hughes, Tegwen Malik, Sandra Dettmer, Adil S. Al-Busaidi, Yogesh K. Dwivedi

{"title":"Reimagining Higher Education: Navigating the Challenges of Generative AI Adoption","authors":"Laurie Hughes, Tegwen Malik, Sandra Dettmer, Adil S. Al-Busaidi, Yogesh K. Dwivedi","doi":"10.1007/s10796-025-10582-6","DOIUrl":"https://doi.org/10.1007/s10796-025-10582-6","url":null,"abstract":"The proliferation of generative artificial intelligence (GenAI) has disrupted academic institutions across the world, presenting transformative challenges for decision makers, and leading to questions around existing methods and practices within higher education (HE). The widespread adoption of GenAI tools and processes highlights an ongoing change to existing perceptions of the role of humans and machines. Academics have expressed concerns relating to: academic integrity, undermining critical thinking, lowering of academic standards and the threat to existing academic models. This study presents a mixed methods approach to developing valuable insight to the key underlying challenges impacting GenAI adoption within HE. The results highlight many of the key challenges impacting decision makers in the formation of policy and strategic direction. The findings identify significant interdependencies between the key underlying challenges associated with GenAI adoption in HE. We further discuss the implications in the findings of the high levels of driving power of the factors: (i) perceived risks from Large Language Model training and learning; (ii) the reliability of GenAI outputs in the context of impact on creativity and decision making; (iii) the impact from poor levels of GenAI platform regulation. We posit this research as offering new insight and perspective on the changing landscape of HE through the widespread adoption of GenAI.","PeriodicalId":13610,"journal":{"name":"Information Systems Frontiers","volume":"9 1","pages":""},"PeriodicalIF":5.9,"publicationDate":"2025-02-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143401665","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Computing Approximate Global Symmetry of Complex Networks with Application to Brain Lateral Symmetry

IF 5.9 3区管理学

Information Systems Frontiers Pub Date : 2025-02-12 DOI: 10.1007/s10796-025-10585-3

Anna Pidnebesna, David Hartman, Aneta Pokorná, Matěj Straka, Jaroslav Hlinka

{"title":"Computing Approximate Global Symmetry of Complex Networks with Application to Brain Lateral Symmetry","authors":"Anna Pidnebesna, David Hartman, Aneta Pokorná, Matěj Straka, Jaroslav Hlinka","doi":"10.1007/s10796-025-10585-3","DOIUrl":"https://doi.org/10.1007/s10796-025-10585-3","url":null,"abstract":"The symmetry of complex networks is a global property that has recently gained attention since MacArthur et al. 2008 showed that many real-world networks contain a considerable number of symmetries. These authors work with a very strict symmetry definition based on the network’s automorphism detecting mostly local symmetries in complex networks. The potential problem with this approach is that even a slight change in the graph’s structure can remove or create some symmetry. Recently, Liu (2020) proposed to use an approximate automorphism instead of strict automorphism. This method can discover symmetries in the network while accepting some minor imperfections in their structure. The proposed numerical method, however, exhibits some performance problems and has some limitations while it assumes the absence of fixed points and thus concentrates only on global symmetries. In this work, we exploit alternative approaches recently developed for treating the Graph Matching Problem and propose a method, which we will refer to as Quadratic Symmetry Approximator (QSA), to address the aforementioned shortcomings. To test our method, we propose a set of random graph models suitable for assessing a wide family of approximate symmetry algorithms. Although our modified method can potentially be applied to all types of symmetries, in the current work we perform optimization and testing oriented towards more global symmetries motivated by testing on the human brain.","PeriodicalId":13610,"journal":{"name":"Information Systems Frontiers","volume":"16 1","pages":""},"PeriodicalIF":5.9,"publicationDate":"2025-02-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143393218","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Pragmatic Interoperability for Human–Machine Value Creation in Agri-Food Supply Chains

IF 5.9 3区管理学

Information Systems Frontiers Pub Date : 2025-02-10 DOI: 10.1007/s10796-024-10567-x

Raymond Obayi, Sonal Choudhary, Rakesh Nayak, Ramanjaneyulu GV

{"title":"Pragmatic Interoperability for Human–Machine Value Creation in Agri-Food Supply Chains","authors":"Raymond Obayi, Sonal Choudhary, Rakesh Nayak, Ramanjaneyulu GV","doi":"10.1007/s10796-024-10567-x","DOIUrl":"https://doi.org/10.1007/s10796-024-10567-x","url":null,"abstract":"This study delves into the dynamics of pragmatic interoperability, focusing on the case of a digital ecosystem in India —the eKrishi platform—which combines of industry 4.0 technologies with human-centric principles. Through qualitative analysis, we unveil the motivations shaping system and business-level interoperability alignment. We found that three categories of sustainability metrics—socio-economic, socio-ecological, and eco-efficiency— are driven by diverse pragmatic views. Furthermore, we found that system-level alignment is driven by actors’ defensive strategy for compliance and standardization, while business level interoperability is underpinned by actors’ offensive strategy for social and economic innovation. The study introduces a 2 × 2 alignment framework—corporate citizenship, regulatory stewardship, corporate stewardship, and value chain stewardship—offering nuanced insights. By aligning systems and business motives for pragmatic interoperability, we contribute towards theory building on interoperability and provide practical implications for guiding stakeholder alignment in Industry 4.0 initiatives.","PeriodicalId":13610,"journal":{"name":"Information Systems Frontiers","volume":"10 1","pages":""},"PeriodicalIF":5.9,"publicationDate":"2025-02-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143375470","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0