• Journal of Information Science Theory and Practice
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• v.12 no.1
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• pp.39-59
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• 2024

An online social network is a platform that is continuously expanding, which enables groups of people to share their views and communicate with one another using the Internet. The social relations among members of the public are significantly improved because of this gesture. Despite these advantages and opportunities, criminals are continuing to broaden their attempts to exploit people by making use of techniques and approaches designed to undermine and exploit their victims for criminal activities. The field of digital forensics, on the other hand, has made significant progress in reducing the impact of this risk. Even though most of these digital forensic investigation techniques are carried out manually, most of these methods are not usually appropriate for use with online social networks due to their complexity, growth in data volumes, and technical issues that are present in these environments. In both civil and criminal cases, including sexual harassment, intellectual property theft, cyberstalking, online terrorism, and cyberbullying, forensic investigations on social media platforms have become more crucial. This study explores the use of machine learning techniques for addressing criminal incidents on social media platforms, particularly during forensic investigations. In addition, it outlines some of the difficulties encountered by forensic investigators while investigating crimes on social networking sites.

• Journal of Information Technology Services
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• v.11 no.1
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• pp.305-323
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• 2012

This study examines online social media diffusion across different countries that will help to provide a picture of current global online social network services (SNSs). Analyzing country-level data drawn from 78 nations, we find that non-technological factors such as culture and language as well as technological factors including Internet penetration rate and smartphone adoption rate have significant effects on online social media diffusion. These findings, derived from a broad range of different countries, not only provide theoretical insights into understanding critical factors that enable successful global expansion of online social media services but also help practitioners plan their marketing strategies more effectively in a global context.

• Journal of KIISE:Computing Practices and Letters
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• v.16 no.12
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• pp.1154-1164
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• 2010

As an useful application in broadcasting services, the targeting service has been mainly studied to improve the service satisfaction and user usage in various media service environments based on user profile, preferences, and usage history. Targeting service is expanding its domain from broadcasting contents to interstitial contents and from fixed TV devices to mobile devices. Service data also include advertisement data, coupon, and information about media contents as well as simple broadcasting data. In this paper, the targeting data service is designed and implemented on articles, advertisement and broadcasting information on the basis of the user information. To adapt this to web-based media contents, information on user profile, preferences, and usage history is newly defined on the basis of the user metadata developed in TV-Anytime Forum and the user information defined in OpenSocial. The targeting data service is implemented to generate user preferences information and usage history pattern based on the similarity among user preference, contents information, and usage history. Based on performance evaluation, we prove that the proposed targeting data service is effectively applicable to web-based media contents as well as broadcasting service.

• Journal of Industrial Convergence
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• v.14 no.2
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• pp.1-14
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• 2016

According to the previous studies about relationship marketing, customers who have relationship with preferable brand or company take spontaneous word of mouth(WOM) and make more purchases than those who don't. Recently, as e-commerce has been combined with social media, many companies that are looking for solution which can promote customer relationship quality using social media. This study aims to investigate the role of customer's perceived value on brand relationship quality in social media. Although perceived value has been defined from many perspectives, we only consider "perceived social value" and "perceived emotional value" in this paper. According to social capital theory, self-esteem is an important variable when we explain the relationships. Thus this paper considers "self-esteem" as a moderating variable between relationship quality and relationship retention. To serve the research purpose, we collect 226 valid questionnaires from social media users. And we analyze data set and test research hypotheses by using SPSS 20.0 and AMOS 20. We expect that the result contain a lot of implication for both researchers and practitioners. Major findings from analyzing 226 valid questionnaires are as follows. First, when customer recognizes social value about brand or company, relationship quality with the brand or company has been improved. Second, when customer recognizes emotional value about brand or company, relationship retain intention with the brand or company has been improved. Third, self-esteem doesn't have moderating effect between relationship quality and relationship retention in social media.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.15 no.2
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• pp.171-181
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• 2020

As expanding marketing channels via social media, a small number of ordinary people have played a role in the information disseminator on social media. Therefore, this study aims to propose efficient social media marketing operation strategies by analyzing the influence relationship from various prospective on beauty channel social media marketing This study examined how beauty channel social media experience affects satisfaction and purchase intend. The components of social media experience were divided into entertainment, interaction, trendiness, usefulness for analysis. Social media experience was confirmed as a factor having significant effect on satisfaction and purchase intend. As a result, the social media experience had a significant effect on the satisfaction and purchase intend and the influence relationship of social media experience on each component was found to be entertainment, usefulness. Also, the expertise of beauty influencers had a significant influence on satisfaction and purchase intend. It is expected that the study results would be available as important data for beauty influencer-based marketing. This study attempted to search for a marketing stratege plan for efficient consumer management and derive and suggest practical implications.

• Journal of Contemporary Eastern Asia
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• v.21 no.1
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• pp.33-42
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• 2022

The world has witnessed the outbreak of the Covid-19 epidemic. Mainstream and social media are playing an important role in Covid-19 pandemic prevention. This research explores awareness, communication channels and effectiveness of communication in the Covid-19 pandemic in rural areas of Thua Thien Hue province, Central Vietnam. Primary information was collected from 181 respondents, who are farmers, non-farmers and students. Secondary information was collected from reports and statistical data. Television, word of mouth and local loudspeakers are the main channels of mainstream media while social media mentions the role of Facebook and Zalo to transfer Covid-19 pandemic information. Mainstream media is still the main channel of farmers and old people while non-farmers and young people tend to access information through social media. Communication has significantly contributed to improving awareness and action of rural people in the Covid-19 epidemic prevention.

• Journal of Distribution Science
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• v.19 no.11
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• pp.27-36
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• 2021

Purpose: COVID-19, government regulation and social media have changed many aspects of life including consumption behavior. The influence of social media by spreading massive news about COVID-19 also have the impact toward emotions threat, perceived risk, and perceived value of consumption behavior in Bengkulu Province, Indonesia. This research aims to analyze the extent to which changes in the consumption behavior, mainly for purchasing of corona prevention products through indirect distribution channels. Research design, data and methodology: This research was descriptive quantitative using the IPA method with sample of people in Bengkulu Province. This study obtained 208 respondent data from questionnaires and tested the validity and reliability with corrected-item total correlation method. Results: The study found that COVID-19 pandemic and government regulation variable were in quadrant II, in quadrant III there were social media variable, emotions threat and perceived risk. Meanwhile, in quadrant IV there were perceived value variable. Conclusions: The findings indicated that COVID-19 and government regulation are the most variable that influence people to buy corona prevention product, meanwhile perceived value is the less influence variable. Therefore, government and marketers have to prepare strategic plan in order to raise people awareness to avoid corona by buying corona prevention product.

• Journal of Distribution Science
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• v.19 no.5
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• pp.49-60
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• 2021

Purpose: This study aimed to explore the variables that may play a significant role in inducing Facebook users to use Facebook as online information distribution channels continuously. Research design, data, and methodology: The population of this study are all Facebook users who have actively used Facebook as a social media as online information distribution for at least one year. Purposive sampling technique was used in this study and 290 respondents were enrolled. The data was collected using a questionnaire and further analyzed with path analysis and SEM-PLS approach. Result: The results showed that perceived ease of use, perceived critical mass, perceived enjoyment, and perceived information intelligence have a positive and a significant effect towards perceived usefulness. Perceived usefulness also has a positive and significant effect on users' attitude, and users' attitude has a positive and significant effect on intentions to use Facebook continuously among its users. Conclusions: Hence, it is important for Facebook as an online information distribution channel to maintain its perceived usefulness in order to create a positive impact on its users' and induce Facebook users' to use social media continuously.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.17 no.1
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• pp.51-73
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• 2023

Social media play a significant role in communicating information across the globe, connecting with loved ones, getting the news, communicating ideas, etc. However, a group of people uses social media to spread fake information, which has a bad impact on society. Therefore, minimizing fake news and its detection are the two primary challenges that need to be addressed. This paper presents a multi-modal deep learning technique to address the above challenges. The proposed modal can use and process visual and textual features. Therefore, it has the ability to detect fake information from visual and textual data. We used EfficientNetB0 and a sentence transformer, respectively, for detecting counterfeit images and for textural learning. Feature embedding is performed at individual channels, whilst fusion is done at the last classification layer. The late fusion is applied intentionally to mitigate the noisy data that are generated by multi-modalities. Extensive experiments are conducted, and performance is evaluated against state-of-the-art methods. Three real-world benchmark datasets, such as MediaEval (Twitter), Weibo, and Fakeddit, are used for experimentation. Result reveals that the proposed modal outperformed the state-of-the-art methods and achieved an accuracy of 86.48%, 82.50%, and 88.80%, respectively, for MediaEval (Twitter), Weibo, and Fakeddit datasets.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.19 no.4
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• pp.780-786
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• 2015

Social media, such as Social Network Service include a lot of spontaneous opinions from customers, so recent companies collect and analyze information about customer feedback by using the system that analyzes Big Data on social media in order to efficiently operate businesses. However, it is difficult to analyze data collected from online sites accurately with existing morpheme analyzer because those data have spacing errors and spelling errors. In addition, many online sentences are short and do not include enough meanings which will be selected, so established meaning selection methods, such as mutual information, chi-square statistic are not able to practice Emotional Classification. In order to solve such problems, this paper suggests a module that can revise the meanings by using initial consonants/vowels and phase pattern dictionary and meaning selection method that uses priority of word class in a sentence. On the basis of word class extracted by morpheme analyzer, these new mechanisms would separate and analyze predicate and substantive, establish properties Database which is subordinate to relevant word class, and extract positive/negative emotions by using accumulated properties Database.