Abstract Fake news on social media spreads faster and has become a major societal concern, prompting numerous publications and knowledge sharing among researchers. This research aims to understand the shifting nature of fake news by investigating the citation relationships between significant publications using key route main path analysis (MPA). The process involves generating keywords, collecting and selecting relevant data, and conducting MPA on fake news in social media. The study analyzes 4.057 publications from 2010 to 2023, identifying 27 influential works shaping the knowledge diffusion in fake news research. Findings reveal two main phases: understanding fake news consumption patterns and analyzing its dissemination and detection mechanisms. Through multiple‐global MPA, five research trends are identified: health misinformation, fact‐checking, sharing behavior, fake news recognition, and physiological interventions. The study shows a continuous rise in publications and citations, with current trends focusing on health‐related misinformation. This analysis offers insights into the development and diffusion of fake news topics on social media, emphasizing the importance of historical development in guiding future research by uncovering current trends. Highlighting the historical progression of research provides valuable context, enabling a more nuanced understanding of the field.

With the fast growth of IoT and AI techniques, AIoT’s potential in creating and capturing business value is being increasingly acknowledged. AIoT is the practice of combining AI with IoT-based hardware to proactively predict what might happen and what action needs to be taken. However, research on this issue has been limited and what the key mechanisms for designing AIoT based context-aware services are in the real field is still underexplored. In this article, we bridge this gap by studying a case study of AIoT based context-aware system in law enforcement in terms of information system artifacts to extend our understating of the AIoT based system’s mechanisms for business applications. Our case study reveals a conceptual model that can ensure AIoT empowered context-aware services in a police field unit. The implications, limitations, and future applications of the development of AIoT empowered context-aware services are discussed.

Information technology outsourcing (ITO) has been a spotlight issue for global enterprises and previous studies have suggested that ITO research has expanded from one organization and bilateral partnerships to a global form of network organization. Yet, little research has been conducted on the link between network governance and ITO performance as a way to understand an organization’s ITO efforts. This study proposes a model that employs several constructs: inter-organizational coordination, contractual governance and relational governance, and technological hegemony. The model explores the mediating roles of these governance mechanisms and the moderating role of technological hegemony as it influences the IT manager’s perception of the performance of ITO. Empirical testing of the model is based on a sample of 191 companies from Taiwanese industries. The results support the mediating effect of relational governance and the moderating effect of technological hegemony. The model and results offer a perspective on managing the performance of ITO as well as initial insight into the role of technological hegemony.

The research presents a theoretical and empirical analysis of an e-Government system implementation. The resource-based view and the enactment concept were leveraged as a theoretical sense-making lens to study the system through its planning, development and operation phases. Consequently, a process model of resource enactment was developed to theorize how organizational resources were mobilized for successful implementation. It was found that the environmental climate at each phase gave rise to a particular focal capability. This was developed through the symbiotic enactment of a focal resource in conjunction with other complementary resources. Specifically, knowledge, social and leadership resources were found to be pertinently enacted in developing the focal capabilities. When observed across the phases, such symbiotic enactment of complementary resources followed a co-evolutionary path. The empirical research was conducted through a qualitative case analysis. This research would therefore be of interest to both academics and practitioners as it contributes to cumulative theoretical development and provides practical grounded insights to inform and advance e-Government system implementation.

The goal of online event analysis is to detect events and track their associated documents in real time from a continuous stream of documents generated by multiple information sources. Unlike traditional text categorization methods, event analysis approaches consider the temporal relations among documents. However, such methods suffer from the threshold-dependency problem, so they only perform well for a narrow range of thresholds. In addition, if the contents of a document stream change, the optimal threshold (that is, the threshold that yields the best performance) often changes as well. In this paper, we propose a threshold-resilient online algorithm, called the incremental probabilistic latent semantic indexing (IPLSI) algorithm, which alleviates the threshold-dependency problem and simultaneously maintains the continuity of the latent semantics to better capture the story line development of events. The IPLSI algorithm is theoretically sound and empirically efficient and effective for event analysis. The results of the performance evaluation performed on the topic detection and tracking (TDT)-4 corpus show that the algorithm reduces the cost of event analysis by as much as 15 percent ~ 20 percent and increases the acceptable threshold range by 200 percent to 300 percent over the baseline.

Recent trend in the development of mobile devices, wireless communications, sensor technologies, weblogs, and peer-to-peer communications have prompted a new design opportunity for enhancing social interactions. This paper introduces our preliminary experiences in designing a prototype utilizing the aforementioned technologies to share life experience. Users equipped with camera phones coupled with short-range communication technology, such as RFID, can capture life experience and share it as weblogs to other people. However, in reality, this is easier said than done. The success of weblogs relies on the active participation and willingness of people to contribute. To encourage active participations, a ranking system, AgreeRank, is specifically developed to get them motivated.