scholarly journals Unlocking Social Media and User Generated Content as a Data Source for Knowledge Management

2020 ◽  
Vol 16 (1) ◽  
pp. 101-122 ◽  
Author(s):  
James Meneghello ◽  
Nik Thompson ◽  
Kevin Lee ◽  
Kok Wai Wong ◽  
Bilal Abu-Salih
Keyword(s):  
Social Media ◽  
Knowledge Management ◽  
A Priori ◽  
User Generated Content ◽  
Future Research ◽  
Time Data ◽  
Current State ◽  
Exponential Increase ◽  
Data Source ◽  
Global Data

The pervasiveness of social media and user-generated content has triggered an exponential increase in global data. However, due to collection and extraction challenges, data in embedded comments, reviews and testimonials are largely inaccessible to a knowledge management system. This article describes a KM framework for the end-to-end knowledge management and value extraction from such content. This framework embodies solutions to unlock the potential of UGC as a rich, real-time data source. Three contributions are described in this article. First, a method for automatically navigating webpages to expose UGC for collection is presented. This is evaluated using browser emulation integrated with automated collection. Second, a method for collecting data without any a priori knowledge of the sites is introduced. Finally, a new testbed is developed to reflect the current state of internet sites and shared publicly to encourage future research. The discussion benchmarks the new algorithm alongside existing techniques, providing evidence of the increased amount of UGC data extracted.

scholarly journals The Implementation of Knowledge Management Based On Web 2.0 on Social News Site Hipwee

2019 ◽  
Vol 4 (1) ◽  
pp. 61
Author(s):  
Mufida Cahyani
Keyword(s):  
Social Media ◽  
Knowledge Management ◽  
Web 2.0 ◽  
Network Effects ◽  
Content Management ◽  
User Participation ◽  
Online News ◽  
User Generated Content ◽  
Organizational Participation ◽  
Social Media Platforms

The emergence of various kinds of social media applications does not only affect the way people communicate, but also penetrates into the realm of online mass media. Social media platforms that carry the concept of web 2.0 namely user generated content and network effects make it easy for a news to become viral in a short time, regardless of the validity and accuracy of the news. Web 2.0 itself is a direct application of the concept of Knowledge Management (KM) which emphasizes collaboration and user participation, but in a broader domain, it is slightly different from KM which emphasizes internal organizational participation. Hipwee as one of the social media-based online news sites applies both concepts to its content management. The purpose of this study was to analyze the extent of the application of KM in relation to Web 2.0. The method used to explore data through interviews with Hipwee managers and direct observation to the office location and also the Hipwee site. The results obtained are that the adaptation of the KM concept has not been applied to Web 2.0 on the Hipwee site, namely the concept of data mining, while the Web 2.0 concept has been applied to KM, namely unbounded collaboration, user generated content and network effects.

scholarly journals Sustainability in Data and Food

2019 ◽  
Vol 1 (1) ◽  
pp. 43-57 ◽  
Author(s):  
Dean Allemang
Keyword(s):  
Food Production ◽  
Global Scale ◽  
Future Research ◽  
World Population ◽  
Data Sets ◽  
Current State ◽  
The World ◽  
Production And Distribution ◽  
Data Ecosystem ◽  
Global Data

As the world population continues to increase, world food production is not keeping up. This means that to continue to feed the world, we will need to optimize the production and utilization of food around the globe. Optimization of a process on a global scale requires massive data. Agriculture is no exception, but also brings its own unique issues, based on how wide spread agricultural data are, and the wide variety of data that is relevant to optimization of food production and supply. This suggests that we need a global data ecosystem for agriculture and nutrition. Such an ecosystem already exists to some extent, made up of data sets, metadata sets and even search engines that help to locate and utilize data sets. A key concept behind this is sustainability—how do we sustain our data sets, so that we can sustain our production and distribution of food? In order to make this vision a reality, we need to navigate the challenges for sustainable data management on a global scale. Starting from the current state of practice, how do we move forward to a practice in which we make use of global data to have an impact on world hunger? In particular, how do we find, collect and manage the data? How can this be effectively deployed to improve practice in the field? And how can we make sure that these practices are leading to the global goals of improving production, distribution and sustainability of the global food supply? These questions cannot be answered yet, but they are the focus of ongoing and future research to be published in this journal and elsewhere.

Meinungsbildung in der Netzöffentlichkeit

2019 ◽  
Keyword(s):  
Social Media ◽  
Public Communication ◽  
Future Research ◽  
Digital Revolution ◽  
The Public ◽  
Empirical Basis ◽  
Current State ◽  
Open Questions ◽  
State Of Research

This volume offers insights into current research on the reception and effects of the digital revolution in public communication in the field of communication science. The contributions it contains deal with questions about the use of news on Facebook, the articulation of opinions on the public Net and the influencing of opinions on social media (e.g. by influencers). They document the current state of research and knowledge in this field, answer current open questions on an empirical basis and provide suggestions for future research. With contributions by Patrick Weber, Frank Mangold, Miriam Steiner, Melanie Magin, Birgit Stark, Pascal Jürgens, Anna Sophie Kümpel, Larissa Leonhard, Veronika Karnowski, Claudia Wilhelm, Ines Engelmann, Stefan Geiß, German Neubaum, Manuel Cargnino, Davina Berthelé, Priska Breves, Helene Schüler, Benedikt Spangardt, Kerstin Thummes

scholarly journals User-Generated Content: A Promising Data Source for Urban Informatics

2021 ◽  
pp. 503-522
Author(s):  
Song Gao ◽  
Yu Liu ◽  
Yuhao Kang ◽  
Fan Zhang
Keyword(s):  
User Generated Content ◽  
Future Research ◽  
Mobility Patterns ◽  
Urban Informatics ◽  
The Third ◽  
Research Areas ◽  
Functional Regions ◽  
Rich Information ◽  
Data Source ◽  
Media Data

AbstractThis chapter summarizes different types of user-generated content (UGC) in urban informatics and then gives a systematic review of their data sources, methodologies, and applications. Case studies in three genres are interpreted to demonstrate the effectiveness of UGC. First, we use geotagged social media data, a type of single-sourced UGC, to extract citizen demographics, mobility patterns, and place semantics associated with various urban functional regions. Second, we bridge UGC and professional-generated content (PGC), in order to take advantage of both sides. The third application links multi-sourced UGC to uncover urban spatial structures and human dynamics. We suggest that UGC data contain rich information in diverse aspects. In addition, analysis of sentiment from geotagged texts and photos, along with the state-of-the-art artificial intelligence methods, is discussed to help understand the linkage between human emotions and surrounding environments. Drawing on the analyses, we summarize a number of future research areas that call for attention in urban informatics.

scholarly journals Knowledge management overview of feature selection problem in high-dimensional financial data: cooperative co-evolution and MapReduce perspectives

2019 ◽  
Vol 17 (4) ◽  
pp. 340-359 ◽  
Author(s):  
A N M Bazlur Rashid ◽  
Tonmoy Choudhury
Keyword(s):  
Feature Selection ◽  
Big Data ◽  
Knowledge Management ◽  
Programming Model ◽  
Financial Data ◽  
Divide And Conquer ◽  
High Dimensional ◽  
Future Research ◽  
Data Generation ◽  
Time Data

The term “big data” characterizes the massive amounts of data generation by the advanced technologies in different domains using 4Vs – volume, velocity, variety, and veracity - to indicate the amount of data that can only be processed via computationally intensive analysis, the speed of their creation, the different types of data, and their accuracy. High-dimensional financial data, such as time-series and space-time data, contain a large number of features (variables) while having a small number of samples, which are used to measure various real-time business situations for financial organizations. Such datasets are normally noisy, and complex correlations may exist between their features, and many domains, including financial, lack the al analytic tools to mine the data for knowledge discovery because of the high-dimensionality. Feature selection is an optimization problem to find a minimal subset of relevant features that maximizes the classification accuracy and reduces the computations. Traditional statistical-based feature selection approaches are not adequate to deal with the curse of dimensionality associated with big data. Cooperative co-evolution, a meta-heuristic algorithm and a divide-and-conquer approach, decomposes high-dimensional problems into smaller sub-problems. Further, MapReduce, a programming model, offers a ready-to-use distributed, scalable, and fault-tolerant infrastructure for parallelizing the developed algorithm. This article presents a knowledge management overview of evolutionary feature selection approaches, state-of-the-art cooperative co-evolution and MapReduce-based feature selection techniques, and future research directions.

scholarly journals The Roles of Information Technology in Islamic Bank Knowledge Management: A study of Two Syariah Banks in Palu

2017 ◽  
Vol 13 (2) ◽  
pp. 181
Author(s):  
Nurdin Nurdin
Keyword(s):  
Information Technology ◽  
Social Media ◽  
Knowledge Management ◽  
Future Research ◽  
Islamic Banks ◽  
Study Approach ◽  
The Social ◽  
Management Project ◽  
Conventional Banks

Information technology has been considered as a vital tool  for modern organizations  to support their knowledge management projects. Previous studies have found that success knowledge management projects were supported by various information technology infrastructures. They addressed how information technology has succesfully implemented to support knowledge management project within conventional banks. However, limited study has been proposed regarding how information technology play roles in support knowledge management project within Islamic banks. Through the case study approach, the author studied the use of information technology for knowledge management process within two Bank Syariah (Bank Mandiri and Bank BNI Syariah) in Palu Central Sulawesi. The author collected data through observation, written material, and  in-depth interviews with key informants from both banks. The findings show that information technology infrastructures have played important roles in support knowledge management projects within the Islamic banks. Those information technology infrastructures includes internet, intranet, websites, communication application such as email, and social media.  This study sheds light and provides new insight on how information technology has succesfully used to support knowledge management within Islamic banks. The results benefits both academic and practioners in Islamic banks and knowledge managemet area. As the social media was an important finding for knowledge management in Islamic banks,  future research need to focus on how social media should be used for knowledge management projects in Islamic banks

Supporting Crisis Management via Detection of Sub-Events in Social Networks

2013 ◽  
Vol 5 (3) ◽  
pp. 20-36 ◽  
Author(s):  
Daniela Pohl ◽  
Abdelhamid Bouchachia ◽  
Hermann Hellwagner
Keyword(s):  
Social Networks ◽  
Social Media ◽  
Emergency Management ◽  
Crisis Management ◽  
Event Detection ◽  
User Generated Content ◽  
Future Research ◽  
Data Sets ◽  
Clustering Techniques ◽  
Valuable Source

Social networks provide the opportunity to gather and share knowledge about a situation of relevance. User-generated content is getting increasingly important during crisis management. It facilitates the collaboration with citizens or involved parties from the very beginning of the crisis. The information captured in the form of images, text or videos is a valuable source of identifying sub-events of a crisis. In this study, the authors use metadata of images and videos collected from Flickr and YouTube to extract crisis sub-events. The authors investigate the suitability of clustering techniques to detect sub-events. In particular two algorithms are evaluated on several data sets related to crisis situations. The results show the high potential of the proposed approach. In addition, the authors validate the idea of sub-event detection for the authors’ future research based on a survey conducted among practitioners. Their responses show the potential of using social media in combination with sub-event detection during emergency management.

Instagram Influencers in Social Media-Induced Tourism

2021 ◽  
pp. 135-144
Author(s):  
Rizalniyani Abdul Razak ◽  
Nur Aliah Mansor
Keyword(s):  
Social Media ◽  
Conceptual Framework ◽  
Destination Image ◽  
User Generated Content ◽  
Future Research ◽  
Destination Marketing ◽  
Media Content ◽  
Persuasive Messages ◽  
Destination Brand

Social media-induced tourism happens when a traveller visits a destination/attraction after being exposed to certain social media content. A user-generated content (UGC) provider, such as a social media influencer, has been identified as the initial motivator in social media-induced tourism. Social media influencers generate persuasive messages for their followers and are typically sources of credibility. In destination marketing and tourism destination studies, the UGC of social media influencers is significantly related to the destination image, destination brand, tourist trust, and tourist expectations. Of particular interest for Instagram influencers, this chapter proposes a conceptual framework to describe the role of the Instagram influencer in inducing his/her followers to travel and suggests a guide for future research.

scholarly journals Reviewing the Past to Inform the Future: A Literature Review of Social Media in Tourism

2018 ◽  
Vol 7 (2) ◽  
pp. 115-131 ◽  
Author(s):  
Zohreh Zara Zarezadeh ◽  
H. Raymond Rastegar ◽  
Ulrike Gretzel
Keyword(s):  
Social Media ◽  
Literature Review ◽  
User Generated Content ◽  
Future Research ◽  
Publication Trends ◽  
Systematic Analysis ◽  
Tourism Research ◽  
The Past ◽  
Research Designs ◽  
Consumer Perspective

Abstract Acknowledging the significant advancement of social media, the role and impact of social media has been widely discussed in tourism research. As a result, it has become increasingly difficult to obtain an overview of the knowledge produced in relation to the topic. Review studies provide such overviews to guide future research efforts. This study reviews and analyses 152 tourism-related social media publications since 2008. Based on a qualitative systematic analysis of publications that address the topic from a consumer perspective, the paper identifies publication trends and highlights patterns in the topics, aims, and research designs of existing publications. Specifically, it captures a broader array of consumer-centric topics than previous reviews and highlights methodological gaps. Moreover, the research argues that there is still ample room for more research on social media in tourism, particularly as the existing literature neglects social media beyond review platforms while demonstrating that user-generated content greatly influences tourist behaviours and experiences.

scholarly journals KNOWLEDGE MANAGEMENT IN THE CONSTRUCTION INDUSTRY: CURRENT STATE OF KNOWLEDGE AND FUTURE RESEARCH

2021 ◽  
Vol 27 (8) ◽  
pp. 671-680
Author(s):  
Víctor Yepes ◽  
Salvador López
Keyword(s):  
Knowledge Management ◽  
Construction Industry ◽  
Research Method ◽  
Information Technologies ◽  
Explicit Knowledge ◽  
Knowledge Generation ◽  
Future Research ◽  
Current State ◽  
Main Factors

Knowledge management in the construction industry has become an element of transition between traditional processes and the current needs demanded by technological change. This research reviews the updated scientific contributions of knowledge management in construction, as well as its influence. The results come from a bibliometric study, elaborating a quantitative and qualitative analysis of the current state. The research method was divided into the following stages: preliminary approach to the bibliography, establishment of search strategies, selection and classification of articles, quantitative analysis and discussion of relevant articles. Three main factors were identified: use and exploitation of knowledge, knowledge transfer, and information technologies; five complementary facets were also identified: culture, innovation, quality, knowledge generation and human factors. The results reaffirm the importance of the use and exploitation of knowledge, in addition to increasing attention to the transfer and technology of information. However, the generation of knowledge has declined because the sector still does not report the results of applying knowledge, and this underlines the need for the future study of strategies to transform tacit knowledge into explicit knowledge.

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