• Language Facts and Perspectives
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• v.48
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• pp.385-415
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• 2019

This study analyzes mobile media-based writing aspects in terms of behavior induction under the premise that the digital media environment is built around mobile. The actual space where the digital writes are performed is a separate platform. The platform facilitates interaction by providing tools and rules to provide infra and participate in a variety of participants. In a mobile environment, writing is done through social platforms. In digital media, images are no longer content that supplements text. On the contrary, the tendency to use text as subtitles has been strengthened to enhance the message delivery power of video. The following are the aspects of digital writing based on the platform or application of mobile media. Second is the generalization of "textual extension." Third, the expansion of the 'visual style' of text is obvious. The affordance of mobile media is based on perceived affordance. However, mobile media users are not just aware of and understand the information provided by the media's interface. The active use of media based on the transformation of behavioral induction should be understood as the result of the accumulation of numerous experiences of interactions driven by iteration of performance induced by behavioral induction. The future research, therefore, should be conducted in the direction of analyzing new usage patterns of mobile media instead of staying on the behavioral induction based on understanding the perceived behavioral induction of users.

• Journal of Information Science Theory and Practice
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• v.10 no.2
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• pp.86-101
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• 2022

This research aimed at studying the factors that influence new media exposure of political news by youths in Isan society in Thailand. The target group comprised 1,200 individuals, obtained from multi-stage sampling from undergraduate students in Isan's autonomous universities, governmental universities, and private institutions. The data collection tool was a questionnaire, the content of which was validated by experts. The reliability of the tool was tested by the formula for Cronbach's alpha coefficient, which yielded a reliability of 0.83. Multiple regression analysis was applied to analyze the data. The results, regarding factors influencing the channels for political news exposure, showed that channels for political news exposure were mostly influenced by inner drives, followed by importance in political news exposure, influence from social networks, and specific characteristics of the Internet. This could explain the variation of channels for political news exposure at 46.5%. In terms of factors influencing political news selection, it was found that political news selection was influenced mostly from social networks, followed by inner drives, benefits from political news exposure, specific characteristics of the Internet, and the field of study. The variation of the political news selection could be explained at 44.6%. These results elaborate on the current situation in Thailand, especially in Isan region, where youths in higher education are playing an increasing role in demonstrating their political stance through various political activities.

• International journal of advanced smart convergence
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• v.12 no.3
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• pp.68-74
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• 2023

The food industry has been hit hard since the first outbreak of COVID-19 in 2019. However, as of April 2022, social distancing has been resolved and the restaurant industry has gradually recovered, interest in restaurant start-ups is increasing. Therefore, in this paper, 'restaurant start-up' was cited as a key keyword through social media big data analysis using TexTom, and word frequency and cone analysis were conducted for big data analysis. The keyword collection period was selected from May 1, 2022, when social distancing due to COVID-19 was lifted, to May 23, 2023, and based on this, a plan to develop chatbot services for restaurant start-ups was proposed. This paper was prepared in consideration of what to consider when starting a restaurant and a chatbot service that allows prospective restaurant founders to receive information more conveniently. Based on these analysis results, we expected to contribute to the process of developing chatbots for prospective restaurant founders in the future

• International journal of advanced smart convergence
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• v.13 no.3
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• pp.156-169
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• 2024

We look at three use cases by business model types of Web3.0 social tokens shaped by 'token eonomics (tokenomics).' As the platform token, 'Roll' mints unique tokens to creators' reputation and allows them to own the value they create. Creators incentivize their followers contributing to the community. Tokens issued on Roll have a fixed supply with 20% minted for creators and 80% distributed across three years. With 'Roll Memberships,' followers gain benefits across token-gated platforms and protocols while getting something in return from the creator. 'Roll Staking' allows creators to integrate their community into crypto-specific products like trading markets, enhancing the features being possible in a creator's community. As the community token, 'Whale' creates WHALE token backed by non-fungible tokens (NFTs), so that it derives its value from NFTs kept in NFT art collection, 'The Vault.' 'Hold-to-Play(H2P)' rewards distributed to token holders owning a minimum threshold of tokens allow them to access to exclusive access to benefits like airdrops, tips, rewards, and exclusive information. Whale DAO open to members locking 1,000 tokens allows them to post a proposal twice a month and to vote in the senate. DAO-Voter role allows members locking 500 tokens to access the vote in the senate, but not to present proposals. As the personal token, 'RAC' distributes RAC tokens to his loyal supporters as a reward. These tokens are available for exclusive content access. RacOS makes it possible for RAC Patreon subscribers to claim RAC tokens each month corresponding with their membership tier.

• Journal of Digital Contents Society
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• v.16 no.4
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• pp.565-573
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• 2015

The development of social media in the 2000s led the unspecified individuals to band together for common interests. Social networking services served as a far-reaching tool for sharing different thoughts and interpretation of the pop culture and helped people build up close relations driven by their common interests for certain works of the pop culture. This Study introduces the TV Series as a case that displays specific patterns of communication between its producer and viewers. Producer Bryan Fuller of the Series as well as key production staffs were quite active on social networking sites with the understanding of what the audience desired and the willingness to sympathize with them, which were eagerly welcomed by the dedicated audience whose number, though, was not big. For the Hannibal production team, SNS was a means for them to just be consumers who appreciate the work instead of solely being the content provider. Their approach is quite different from unilateral marketing approaches employed in the past. Through this case, the Study aims to suggest that social networking sites serve as a powerful medium connecting producers and viewers or as an information hub, and that how interactive contents shall be delivered in the new media environment to be effective.

• Journal of Contemporary Eastern Asia
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• v.16 no.1
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• pp.1-21
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• 2017

The Jakarta Provincial Government utilizes the YouTube channel to interact with citizens and enhance transparency. The purpose of this study is to explore online perceptions of local government image perceived by online audiences through the YouTube platform. The concepts of organizational image and credibility in the political image are adapted to analyze online public perceptions on the Jakarta Provincial Government image. Using the video summarization approach on Three hundred and forty-six official YouTube videos, which were uploaded from 1 March 2016 to 31 May 2016, and content analysis of Eight thousand two hundred and thirty-seven comments, this study shows both political and bureaucratic image emerge concurrently in the Jakarta Provincial Government case. The typology model is proposed to describe and explain the four image variations that occurred in the case study. Practical recommendations are suggested to manage YouTube channel as one of the social media used in the local government context.

• Journal of Information Processing Systems
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• v.15 no.3
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• pp.500-519
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• 2019

The blooming of social media has simulated interest in sentiment analysis. Sentiment analysis aims to determine from a specific piece of content the overall attitude of its author in relation to a specific item, product, brand, or service. In sentiment analysis, the focus is on the subjective sentences. Hence, in order to discover and extract the subjective information from a given text, researchers have applied various methods in computational linguistics, natural language processing, and text analysis. The aim of this paper is to provide an in-depth up-to-date study of the sentiment analysis algorithms in order to familiarize with other works done in the subject. The paper focuses on the main tasks and applications of sentiment analysis. State-of-the-art algorithms, methodologies and techniques have been categorized and summarized to facilitate future research in this field.

• International Journal of Computer Science & Network Security
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• v.22 no.11
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• pp.265-271
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• 2022

Social media is a form of communication based on the internet to share information through content and images. Their choice of profile images and type of image they post can be closely connected to their personality. The user posted images are designated as personality traits. The objective of this study is to predict five factor model personality dimensions from profile images by using deep learning and neural networks. Developed a deep learning framework-based neural network for personality prediction. The personality types of the Big Five Factor model can be quantified from user profile images. To measure the effectiveness, proposed two models using convolution Neural Networks to classify each personality of the user. Done performance analysis among two different models for efficiently predict personality traits from profile image. It was found that VGG-69 CNN models are best performing models for producing the classification accuracy of 91% to predict user personality traits.

• International journal of advanced smart convergence
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• v.12 no.2
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• pp.127-134
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• 2023

Existing studies on this topic have focused on the effect of online content quality on consumer attitudes and behavior, with very few illustrating the effect of influencer image on consumer attitudes and behavior. The purpose of this study intents to reveal how influencer image affect consumer behavior. We have developed an image transfer theory-based research model to reveal how influencers transfer their image to endorsed products to influence consumer behavior. The results show that influencer image positively affects satisfaction, which in turn affects the product's cognitive and affective images in the vlog. Moreover, it was found that a product's cognitive image and affective image influence consumer behavior intention. Furthermore, purchase experience exhibits significant differences in its path. Based on these results, the social media-related research theoretical implication will be offered, and managerial implications will be provided for foreign brand promotion strategies

• Journal of Distribution Science
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• v.21 no.1
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• pp.107-117
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• 2023

Purpose: This study attempted to confirm the mediating effect of brand experience and to travel brand community satisfaction in the relationship between the characteristics of brand community contents and travel product purchase intention. This study also investigated the moderating role of consumer characteristics. Research design, data and methodology: Based on a total of 381 bytes of data, hypothesis verification was conducted using Smart-PLS 3.2.8 statistical package programs. Results: First, the content community travel brand attributes, personal affordability and creativity are a lingering fragrances on the intended consumers ' shopping trip. Second, information provision, interaction, and creativity, which are the characteristics of travel brand community content, influenced consumers' intention to purchase travel products through brand community satisfaction. Third, playfulness, vitality, and creativity, which are the characteristics of travel brand community content, influenced consumers' intention to purchase travel products through double mediation of the experience and community satisfaction of brand. Conclusions: Tourism industry managers should be able to market content by forming their own brand community. It is necessary to create an environment in which tourism industry managers can use social media travel brand community content to give discounts to consumers, provide creative, playful and vivid travel information.