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P.Y. Lee, S.C. Hui and A.C.M. Fong
With the proliferation of objectionable materials (e.g. pornography, violence, drugs, etc.) available on the WWW, there is an urgent need for effective countermeasures to protect…
Abstract
With the proliferation of objectionable materials (e.g. pornography, violence, drugs, etc.) available on the WWW, there is an urgent need for effective countermeasures to protect children and other unsuspecting users from exposure to such materials. Using pornographic Web pages as a case study, this paper presents a thorough analysis of the distinguishing features of such Web pages. The objective of the study is to gain knowledge on the structure and characteristics of typical pornographic Web pages so that effective Web filtering techniques can be developed to filter them automatically. In this paper, we first survey the existing techniques for Web content filtering. A study on the characteristics of pornographic Web pages is then presented. The implementation of a Web content filtering system that combines the use of an artificial neural network and the knowledge gained in the analysis of pornographic Web pages is also given.
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A.C.M. Fong, S.C. Hui and P.Y. Lee
With the proliferation of objectionable world wide web (WWW or web) materials such as pornography and violence, there is an increasing need for effective web content filtering…
Abstract
Purpose
With the proliferation of objectionable world wide web (WWW or web) materials such as pornography and violence, there is an increasing need for effective web content filtering tools to protect unsuspecting users from the harmful effect of such materials. This paper aims to discuss this issue.
Design/methodology/approach
Using pornographic web materials as a case study, the authors have developed an effective filtering solution that uses machine intelligence to perform offline web page classification into allowed and disallowed web pages.
Findings
The results are stored in a database for fast online retrieval whenever access to a web page is requested.
Practical implications
The separation between offline classification and online filtering ensures fast blocking decisions are made from the user's viewpoint.
Originality/value
There is an urgent and continued need for effective measures against the proliferation of objectionable materials on the web. In this paper, the authors describe a possible solution in the form of a complete working system. Future research will focus on adding appropriate modules to tackle other types of objectionable materials than the type described. The basic framework, however, should be applicable to a wide range of materials.
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Elle Rochford, Baylee Hudgens and Rachel L. Einwohner
While social media data are used increasingly in studies of social movements, social media evolves far more rapidly than academic research and publication. This chapter argues…
Abstract
While social media data are used increasingly in studies of social movements, social media evolves far more rapidly than academic research and publication. This chapter argues that researchers should adopt historical and archival approaches to social media data. Treating social media data as an “instant archive” – one that is self-curated, is co-constituted, and changes rapidly – we caution researchers to pay attention to the features of this archive and their implications for working with the data therein. Applying insights from recent discussions of archival methods for social science research to the specific features of social media data, we explore how platform features, repressive effects, and user innovations affect the content of the instant archive. We then offer strategies for researchers' methodological approaches, including how best to select units of analysis and platforms, how to collect and interpret archival materials, and how to identify silences in the data.
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Muliadi Muliadi, Mas'ud Muhammadiah, Kasma F. Amin, Kaharuddin Kaharuddin, Junaidi Junaidi, Berlin Insan Pratiwi and Fitriani Fitriani
This study aims to investigate how social capital (e.g. cognitive and relational) influences students’ trust (e.g. cognitive and affective) as mediator variables, affecting…
Abstract
Purpose
This study aims to investigate how social capital (e.g. cognitive and relational) influences students’ trust (e.g. cognitive and affective) as mediator variables, affecting students’ information sharing activity on Facebook.
Design/methodology/approach
The sample consists of 398 valid participants obtained through an online survey and using structural equation modeling (SEM) to test the research hypotheses.
Findings
The empirical results indicate that social capital has significant and positive effects on students’ trust (e.g. cognitive and affective-based trust), also mediator variables. Furthermore, the mediator variables partially mediate social capital and information sharing based on the concept of cognition-affection-behavior (CAB).
Research limitations/implications
This study was limited to Indonesian students. Therefore, future study is needed to analyze across cultures and regions. It can help practitioners, regulators and researchers to observe the dynamic behavior on the impact of social capital on social media users’ activities.
Practical implications
Education stakeholders (e.g. lecturers and teachers) can identify the students’ goal and rational concerns to improve their social capital and trust to share information. The government as a regulator needs to support students’ activities on social media to provide updated information regarding economic and social conditions during and after the COVID-19 pandemic.
Originality/value
This study contributes to the literature on virtual communities. Specifically, it considers how social capital influences trust, which subsequently affects information sharing based on the CAB context among Indonesian student’ Facebook users.
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Shubham Senapati and Rajeev Kumar Panda
The importance of consumer experience in service industries, particularly healthcare, is widely acknowledged as it captures the intricacies of quality management. In tandem with…
Abstract
Purpose
The importance of consumer experience in service industries, particularly healthcare, is widely acknowledged as it captures the intricacies of quality management. In tandem with the emerging research trends that evaluate service excellence through user experience, this study renders a performance analysis of the dimensions of consumer experience that individually or collectively shape healthcare consumers’ perceptions of service quality.
Design/methodology/approach
A cross-sectional study was conducted across 13 mid-tier corporate hospitals to collect data from 438 patients. The data was processed through factor analysis in SPSS to confirm sample adequacy and factor extractability. Further, two independent multi-criteria decision-making (MCDM) tools, Fuzzy Technique for Order Performance by Similarity to Ideal Solution (F-TOPSIS) and Grey Relational Analysis (GRA), were executed to render performance analysis of identified factors.
Findings
Using F-TOPSIS, factors such as “information” and “hospital environment” received higher performance ratings, while items related to “communication with doctors” and “humanistic care” received lower rankings. Minor yet anticipated deviations were observed while verifying performance scores using GRA. Nonetheless, both outcomes exhibited a strong correlation coefficient of 97.14%, confirming analytical consistency.
Originality/value
Hitherto, such usages of hybrid MCDM techniques have rarely been executed to convey a clear understanding of consumers’ experiences in healthcare services. Moreover, the findings provide a clear insight into consumers’ key response areas, which can further be translated to maximize consumer gratification, thus assisting healthcare managers in improving service performance and clinical decision-making.
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John M. Friend and Dana L. Alden
Consumer well-being in health-care settings is often undermined by information asymmetries, uncertainty and complex choices. Men are generally less motivated to adopt support…
Abstract
Purpose
Consumer well-being in health-care settings is often undermined by information asymmetries, uncertainty and complex choices. Men are generally less motivated to adopt support tools designed to facilitate shared decision-making (SDM) and increase involvement in health service delivery. This study aims to examine the effects of sports team metaphors in a male-centered decision aid on empowerment and preparedness within a sleep apnea treatment context, a common disease among men. Individual-level factors that influence the decision aid experience are also considered.
Design/methodology/approach
An online panel sample of 296 US men was randomly assigned to a generic or gender targeted decision aid. The scenario-based method was used to simulate the decision aid experience. A one-way MANOVA tested the effects of gender targeting on SDM-related outcomes. Structural equation modeling was then undertaken to analyze relationships between self-construal and these outcomes.
Findings
Participants who experienced the gender-targeted decision aid reported higher levels of empowerment and preparedness. The positive relationship between collective interdependence and empowerment was stronger among those who received the targeted decision aid. The positive relationship between empowerment and preparedness was also significantly stronger in the targeted group. Empowerment mediated the effect of self-construal on preparedness.
Originality/value
Little to no research has evaluated the effectiveness of sports team metaphors in improving SDM and facilitating health-care value cocreation. Results provide insight into how to enhance service design and delivery for men facing medical decisions.
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Prodemocracy protest in South Korea in the 1980s can be described in terms of two waves of sustained activism between 1979 and 1987. One wave was brutally repressed in the Gwangju…
Abstract
Prodemocracy protest in South Korea in the 1980s can be described in terms of two waves of sustained activism between 1979 and 1987. One wave was brutally repressed in the Gwangju Uprising of May 1980, while the other succeeded in bringing in a transition to democracy in June 1987. How did activists recover from the repression in the first wave, and how did they create a viable movement in the second wave? This work focuses on the role of memory work about the Gwangju Uprising in the mobilization of the prodemocracy movement. Drawing on a wide assortment of documents collected from various archives in South Korea, the author demonstrates how memory work contributed to the movement dynamics. Cognitively, memory work radicalized movement participants such that they became completely disillusioned with the legitimacy of state power. Emotionally, memory work triggered a moral shock among recruits that motivated them to take the high risks associated with activism. Relationally, memory work provided a bonding experience for activists within a network. The findings also show a process through which memory work becomes a powerful social force: emergence of a challenger, proliferation of an alternative narrative, and then a full-blown contention between the state and a challenger. The process also means changes of the status of memory in terms of ownership, salience, and valence.
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Erpeng Wang, Zhifeng Gao and Xuqi Chen
The purpose of this paper is to determine important attributes of processed food, consumers’ trust in different information resources, and the impact of trust, demographic and…
Abstract
Purpose
The purpose of this paper is to determine important attributes of processed food, consumers’ trust in different information resources, and the impact of trust, demographic and behavior variables on the preference of processed food attributes among Chinese consumers.
Design/methodology/approach
Data of 1,267 participants were collected from four cities in China. A five-point Likert scale was used to measure consumer preference for 12 juice attributes. Consumer trust in nine sources of information on product quality was measured. Cluster analysis was used to segment consumers into groups based on their preference for juice attributes and trust in information sources, respectively. A multinomial logistic model was used to determine the impact of trust, demographic and behavior variables on the preference of juice attributes.
Findings
Consumers rate manufacture date, taste and food safety labels as the most important attributes of fruit juice products. Among different information sources, consumers place more trust in private information sources and traditional media. The low trust in different information sources impedes consumer preference for processed food quality attributes.
Originality/value
This research is among the few that examine consumer preference for processed food, such as juice. It identifies four distinct preference groups and trust groups, respectively, based on consumer preference for juice attributes and trust in different information sources. This paper provides important information for processed food companies and policymakers to effectively enact marketing strategies in China.
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