Disinformation and misinformation are pervasive in unregulated social-media environments, which are used habitually for obtaining news. Fenn et al in 2019 stated that “Given that people tend to share interesting information to maintain social relationships or to manage their impressions, information that receives more likes may subsequently be shared more often” (Fenn, Ramsay, Kantner, Pezdek, & Abed, 2019, p.133) Recent studies also revealed that misinformation from politicians and celebrities has increased in recent years which lead to more engagement on Twitter (Brennen, et al. 2020 ). There has been a lot of misinformation pertaining to COVID-19 masks on Twitter. Due to the misinformation, many people might not believe in the effectiveness of masks. Even though studies have shown the effectiveness of wearing masks in different countries (Lyu and Wehby, 2020). Not wearing masks affects people's health and indirectly increases the spread of COVID-19. Studies of social noise and misinformation cases on social media are needed, specifically focusing on how social noise influences and contributes to the spread of misleading and possibly harmful messages.

This article discusses automating the semiotic analysis of film, including visual representation, search and retrieval, and ways of seeing.

This book chapter discusses the functional ontology of filmic documents. The authors examine a few phases of probing of filmic documents, and the relationship between structure and meaning. The authors have taken the liberty of sketching the earlier phases and of presenting the most recent in somewhat more detail. Considerations of the early phases, among other issues of document use, led to the functional ontology construction as a foundation for this probing and for wider concerns within the arena of messages, meanings, and uses.

Article on an analysis of management and employee job satisfaction for gender, age group, length of time with the organization, and between management and non-management employees.

This article discusses the Delphi consensus-building technique. Also discussed are the Delphi Technique's history, the process, and some advantages and disadvantages found in the literature. Finally, this article examines a technology-enhanced version of the process.

Poster paper for the 2017 International Conference on Knowledge Management. This paper discusses data sharing practices and compliance with open data mandates by using the Nonaka and Takeuchi (1995) knowledge transfer spiral model to understand behaviors and create resources for researchers.

This presentation examines arts and humanities academics' scholarly information needs and their means of accessing scholarly e-content in today digital environment.

This paper will report on a research to develop Speaker Independent, Continuous Speech Recognizer for Kafi Noonoo (Afro-Asiatic language that belongs to North Omotic sub family in Ethiopia) using Hidden Markov Modeling technique. The portable and open source toolkit called Hidden Markov Model (HMM) Toolkit is used to perform the experiment. The development of HMM based Automatic Speech Recognition (ASR) requires both text and speech corpus for training and testing the HMM. In order to have a model that incorporates different features of the language, we included the different dialects of Kafi Noonoo in the corpus and then prepared the training and test corpus from the scratch, and after preprocessing we have sampled and performed feature extraction using Mel Frequency Cepstral Coefficients (MFCC) feature extraction technique.

The digital age comes with transformational activities (also referred to as digital transformation) triggered by emerging fields and technologies, such as data science and analytics, cybersecurity, cloud computing, blockchain, cryptocurrency, and nanotechnology; helping organizations stay current and competitive. This paper focuses on agile frameworks that support the delivery of data science/analytics projects to ensure organizations rapidly deliver analytics products and services to their customers.

Organizations struggle to harness tacit knowledge – the knowledge that resides in the heads of knowledge workers, whereas there are always opportunities to capture knowledge during project management activities. Using a literature review, this paper analyzes how knowledge can be captured during different project management phases. It attempts to bridge frequently ignored areas of project management, knowledge management, and analytics.

Presentation paper for the 2017 International Conference on Knowledge Management. This paper uses the Brenda Dervin sense making model to explain human behavior and way of reasoning with making purchasing decisions of smart thermostats.

This article introduces and evaluates a framework for designing motivational augmented reality applications.

This article attempts to identify some of the components that positively affect student motivation in mobile augmented reality (AR) learning experiences to contribute to the design and development of motivational AR learning experiences for the Vocational Education and Training (VET) level of education.

This article reviews the potential for Massive Open Online Courses (MOOCs) to transform higher education delivery, accessibility, and costs.

This book chapter reviews the extant model, programs, and available outcomes for the massive open online course (MOOC) credit acceptance process.

This article examines the design elements of three virtual reality games for functionality and transferability to orientation and mobility education for visually impaired individuals.

Trauma, and its associated effects, can be conceptualized as a period of information uncertainty. The natural psychological response to trauma is a period of post-traumatic stress. Trauma occurs when an existing knowledge base has been challenged. Any event that challenges important components of an individual’s assumptive world is said to be traumatic. This post-traumatic period is akin to many theories and concepts in information science including uncertainty reduction, Everyday Life Information Seeking, Sensemaking Theory, Making Meaning and Anomalous States of Knowledge. One possible outcome after the post- traumatic period is post-traumatic growth. Researchers agree post-traumatic growth primarily occurs across one or more of the following domains: personal strength, new possibilities, relating to others, appreciation of life and spiritual change. That is, people affected by trauma tend to grow when they find new or additional paths of information certainty.

Presentation for the 2018 International Conference on Knowledge Management. This presentation aims to establish the state-of-the-art of causal link between knowledge management practices and organizational innovation.

This presentation investigates update procedures based on deterministic dynamics for populations arranged in a lattice.

This paper describes the design and development of a learning object repository for a new statewide higher education initiative.

This article develops a virtual reality-based measure of everyday memory functioning for meal preparation tasks. The results support the construct validity of the VKP and suggest that it holds promise as a virtual reality-based measure of memory for meal preparation tasks.

This article focuses on service learning projects (SLPs) sponsored by the University of North Texas College of Information. A constructivist learning environment perspective was applied to the potential for library science international service learning projects to provide a short term learning environment that introduces pedagogy, provides the opportunity to develop and apply new skills, energizes students to develop cultural competence, and develops reflective skills towards the pursuit of wisdom.

Correction to article changes the name of one of the authors.

Article describes how, the goal of ITS is to support learning content, activities, and resources, adapted to the specific needs of the individual learner and influenced by learner’s motivation. This research proposes an intentional model that adopts Map formalism to support personalized learning guidance by considering learner’s motivation.