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Article
Publication date: 21 September 2010

Flora S. Tsai and Kap Luk Chan

The paper aims to explore the performance of redundancy and novelty mining in the business blogosphere, which has not been studied before.

Abstract

Purpose

The paper aims to explore the performance of redundancy and novelty mining in the business blogosphere, which has not been studied before.

Design/methodology/approach

Novelty mining techniques are implemented to single out novel information out of a massive set of text documents. This paper adopted the mixed metric approach which combines symmetric and asymmetric metrics.

Findings

The results show that the novelty mining system can detect novel and redundant blogs in the dataset of business blogs with a very high accuracy.

Originality/value

This paper shows that novelty mining techniques can be applied to business blogs to help organizations filter redundant information, and that the cosine and mixed metrics approaches produce better results.

Details

The Learning Organization, vol. 17 no. 6
Type: Research Article
ISSN: 0969-6474

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Article
Publication date: 1 April 2014

Wu He and Shenghua Zha

The existing mashup literature paid little attention to the actual adoption and diffusion of mashups in an organizational context. As more and more organizations are…

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2352

Abstract

Purpose

The existing mashup literature paid little attention to the actual adoption and diffusion of mashups in an organizational context. As more and more organizations are engaged in mashup initiatives, more research efforts focussing on the mashup use and adoption issues from the organizational perspective are needed to ensure that organizations can receive the maximum benefits from their mashup initiatives. Two studies are conducted to increase the understanding of the use and adoption issues with social media mashups. The paper aims at discussing these issues.

Design/methodology/approach

The paper first used a text mining approach to analyze relevant posts on blogs and messages in a major online mashup forum in order to understand the current status of social media mashup as well as representative themes and issues with social media mashups in general. Subsequently, the paper reviewed a number of social media mashup sites created by higher education institutions (HEIs) in the USA.

Findings

The paper identified some representative themes and issues with social media mashups in general. The paper also identified the approaches that were used to design the interface of social media mashup sites by HEIs. Based on the two studies, this paper provides recommendations and insights to guide social media mashup development and adoption in an organizational context.

Originality value

This is the first article to discuss the use and adoption of social media mashups in organizational environments. This paper can be used as a starting point to motivate other researchers to further explore the diffusion of social media mashups in different industries. This paper also helps organizations improve their social media mashup initiatives.

Details

Internet Research, vol. 24 no. 2
Type: Research Article
ISSN: 1066-2243

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Article
Publication date: 25 September 2007

Tracy Anna Rickman and Robert M. Cosenza

The purpose of this paper is to examine the theoretical/conceptual development and application of weblog‐textmining to fashion forecasting in general and street fashion…

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12380

Abstract

Purpose

The purpose of this paper is to examine the theoretical/conceptual development and application of weblog‐textmining to fashion forecasting in general and street fashion trending in particular.

Design/methodology/approach

The current methods of forecasting cannot keep pace with the changing dynamics of the marketplace – mostly due to the rampant diffusion of data/information. The company that can tap the continual flow of data/information in the present, contrast it with a stored set of information from the past, and adjust based on repeated cycles, will have the best insight into the lingering trend, changing trend, or dynamic trend. The paper uses a simple example to explain blog trend analysis using Nielsen BuzzMetrics' BlogPulse.

Findings

The study finds that to make fashion weblog forecasting a reality, there needs to be a rich accumulation of fashion communication in structured blogs. In addition, there needs to be a classification of the various forms of industry web text, web venue. Furthermore, rich research traditions must be in place to chronicle the cultural, behavioral, linguistic, socioeconomic, and communication behaviors over time for the weblog and the fashion weblogger in particular.

Practical implications

The changing dynamics of the fashion business makes it a good example for understanding the weblog‐text mining approach developed in this paper.

Originality/value

The understanding and implementation of trend forecasting using blogs as data mining sources will add another dimension of forecasting techniques to survive the multi‐channel revolution in fashion marketing.

Details

Journal of Fashion Marketing and Management: An International Journal, vol. 11 no. 4
Type: Research Article
ISSN: 1361-2026

Keywords

Content available
Article
Publication date: 26 June 2007

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397

Abstract

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Online Information Review, vol. 31 no. 3
Type: Research Article
ISSN: 1468-4527

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Article
Publication date: 28 August 2009

Tiong‐Thye Goh and Yen‐Pei Huang

Social networking sites have in recent years become an increasingly popular avenue for young people to express and to share their thoughts, views, and emotions. When young

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1559

Abstract

Purpose

Social networking sites have in recent years become an increasingly popular avenue for young people to express and to share their thoughts, views, and emotions. When young people are emotionally distressed for instance, instead of the traditional channel of consulting friends, parents or specialists, social networking blogs may provide a channel to share and release their emotions and intentions. The objective of the paper is to explore the use of text mining and data warehousing technologies to identify and monitor bloggers who are depressed and may be at risk of suicide, self harm or harming others.

Design/methodology/approach

The paper first provides a literature review on relevant work in affective and emotional content text mining and relevant suicide research. An algorithm based on a weighted dictionary text search algorithm was developed to identify at risk bloggers to illustrate the viability of the system. An example that compares the percentage of at‐risk bloggers of three different countries – Australia, the UK and New Zealand‐– from a sample blog population is provided.

Findings

The results show that it is possible to use text mining technologies to identify depressed bloggers. However, there is a need for future research to improve identification and remove false alarms.

Practical implications

The ability to identify at‐risk bloggers and to provide appropriate interventions could be critical in avoiding tragic consequences. Such a system could provide an e‐monitoring service for various social agencies to engage with potentially at‐risk bloggers.

Originality/value

The current research represents pioneer work in monitoring depression risk in weblogs – research on monitoring at‐risk bloggers is rather limited.

Details

VINE, vol. 39 no. 3
Type: Research Article
ISSN: 0305-5728

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Article
Publication date: 25 November 2013

Wu He

As mobile malware and virus are rapidly increasing in frequency and sophistication, mobile social media has recently become a very popular attack vector. The purpose of…

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4016

Abstract

Purpose

As mobile malware and virus are rapidly increasing in frequency and sophistication, mobile social media has recently become a very popular attack vector. The purpose of this paper is to survey the state-of-the-art of security aspect of mobile social media, identify recent trends, and provide recommendations for researchers and practitioners in this fast moving field.

Design/methodology/approach

This paper reviews disparate discussions in literature on security aspect of mobile social media though blog mining and an extensive literature search. Based on the detailed review, the author summarizes some key insights to help enterprises understand security risks associated with mobile social media.

Findings

Risks related to mobile social media are identified based on the results of the review. Best practices and useful tips are offered to help enterprises mitigate risks of mobile social media. This paper also provides insights and guidance for enterprises to mitigate the security risks of mobile social media.

Originality/value

The paper consolidates the fragmented discussion in literature and provides an in-depth review to help researchers understand the latest development of security risks associated with mobile social media.

Details

Information Management & Computer Security, vol. 21 no. 5
Type: Research Article
ISSN: 0968-5227

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Article
Publication date: 14 August 2017

Wei Xu, Lingyu Liu and Wei Shang

Timely detection of emergency events and effective tracking of corresponding public opinions are critical in emergency management. As media are immediate sources of…

Abstract

Purpose

Timely detection of emergency events and effective tracking of corresponding public opinions are critical in emergency management. As media are immediate sources of information on emergencies, the purpose of this paper is to propose cross-media analytics to detect and track emergency events and provide decision support for government and emergency management departments.

Design/methodology/approach

In this paper, a novel emergency event detection and opinion mining method is proposed for emergency management using cross-media analytics. In the proposed approach, an event detection module is constructed to discover emergency events based on cross-media analytics, and after the detected event is confirmed as an emergency event, an opinion mining module is used to analyze public sentiments and then generate public sentiment time series for early warning via a semantic expansion technique.

Findings

Empirical results indicate that a specific emergency can be detected and that public opinion can be tracked effectively and efficiently using cross-media analytics. In addition, the proposed system can be used for decision support and real-time response for government and emergency management departments.

Research limitations/implications

This paper takes full advantage of cross-media information and proposes novel emergency event detection and opinion mining methods for emergency management using cross-media analytics. The empirical analysis results illustrate the efficiency of the proposed method.

Practical implications

The proposed method can be applied for detection of emergency events and tracking of public opinions for emergency decision support and governmental real-time response.

Originality/value

This research work contributes to the design of a decision support system for emergency event detection and opinion mining. In the proposed approaches, emergency events are detected by leveraging cross-media analytics, and public sentiments are measured using an auto-expansion of the domain dictionary in the field of emergency management to eliminate the misclassification of the general dictionary and to make the quantization more accurate.

Details

Online Information Review, vol. 41 no. 4
Type: Research Article
ISSN: 1468-4527

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Book part
Publication date: 5 January 2016

Abstract

Details

Storytelling-Case Archetype Decoding and Assignment Manual (SCADAM)
Type: Book
ISBN: 978-1-78560-216-0

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Article
Publication date: 29 April 2021

Mohammadreza Esmaeili Givi, Mohammad Karim Saberi, Mojtaba Talafidaryani, Mahdi Abdolhamid, Rahim Nikandish and Abbas Fattahi

The Journal of Intellectual Capital (JIC) celebrated its 20th anniversary in 2020. Therefore, the present study aims to provide a general overview of the history and key…

Abstract

Purpose

The Journal of Intellectual Capital (JIC) celebrated its 20th anniversary in 2020. Therefore, the present study aims to provide a general overview of the history and key trends in this journal during 2000–2019.

Design/methodology/approach

Two types of citation and textual data during a 20-year journal period were retrieved from the Scopus database. The citation structures and contents were explored based on a combination of bibliometric analysis, altmetric analysis and text mining. The journal themes and trends of their changes were analyzed through citation bursts, mapping and topic modeling. To make a better comparison, the text mining process for the topic modeling of the IC field was performed in addition to the topic modeling of JIC.

Findings

Bibliometric analysis indicated that JIC has experienced a remarkable growth in terms of the number of publications and citations over the last 20 years. The results indicated that JIC plays a significant role among IC researchers. Additionally, a large number of researchers, institutes and countries have made contributions to this journal and cited its research papers. Altmetric analysis showed that JIC has been shared in different social media such as Twitter, Facebook, Wikipedia, Mendeley, Citeulike, news and blogs. Text mining abstract of JIC articles indicated that “measurement,” “financial performance” and “IC reporting” have the relative prevalence with increasing trends over the past 20 years. In addition, “research trends” and “national and international studies” had a stable trend with low thematic share.

Research limitations/implications

The findings have important implications for the JIC editorial team in order to make informed decisions about the further development of JIC as well as for IC researchers and practitioners to make more valuable contributions to the journal.

Originality/value

Using bibliometric analysis, altmetric analysis and text mining, this study provided a systematic and comprehensive analysis of JIC. The simultaneous use of these methods provides an interesting, unique and suitable capacity to analyze the journals by considering their various aspects.

Details

Journal of Intellectual Capital, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1469-1930

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Article
Publication date: 7 August 2017

Peng Wu, Si Shen, Daqing He and Jia Tina Du

The purpose of this paper is to understand blog users’ negative emotional norm compliance decision-making in crises (blog users’-NNDC).

Abstract

Purpose

The purpose of this paper is to understand blog users’ negative emotional norm compliance decision-making in crises (blog users’-NNDC).

Design/methodology/approach

A belief–desire–intention (BDI) model to evaluate the blog users’-NNDC (the BDI-NNDC model) was developed. This model was based on three social characteristics: self-interests, expectations and emotions. An experimental study was conducted to evaluate the efficiency of the BDI-NNDC model by using data retrieved from a popular Chinese social network called “Sina Weibo” about three major crises.

Findings

The BDI-NNDC model strongly predicted the Blog users’-NNDC. The predictions were as follows: a self-interested blog user posted content that was targeting his own interests; a blogger with high expectations wrote and commented emotionally negative blogs on the condition that the numbers of negative posts increased, while he ignored the norm when there was relatively less negative emotional news; and an emotional blog user obeyed the norm based on the emotional intentions of the blogosphere in most of the cases.

Research limitations/implications

The BDI-NNDC model can explain the diffusion of negative emotions by blog users during crises, and this paper shows a way to bridge the social norm modelling and the research of blog users’ activity and behaviour characteristics in the context of “real life” crises. However, the criterion for differentiating blog users according to social characteristics needs to be further revised, as the generalizability of the results is limited by the number of cases selected in this study.

Practical implications

The current method could be applied to predict emotional trends of blog users who have different social characteristics and it could support government agencies to build strategic responses to crises.

Originality/value

This paper supports the creation of normative models and engineering methods to predict blog users’-NNDC and mitigate their effect in real-world crises.

Details

The Electronic Library, vol. 35 no. 4
Type: Research Article
ISSN: 0264-0473

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