• International Journal of Contents
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• v.13 no.1
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• pp.31-37
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• 2017

Using the network analysis method, this study investigates the communication structure of Open Data on the Twitter sphere. It addresses the communication path by mapping influential activities and comparing the contents of tweets about Open Data. In the years 2015 and 2016, the NodeXL software was applied to collect tweets from the Twitter network, containing the term "opendata". The structural patterns of social media communication were analyzed through several network characteristics. The results indicate that the most common activities on the Twitter network are related to the subjects such as new applications and new technologies in Open Data. The study is the first to focus on the structural and informational pattern of Open Data based on social network analysis and content analysis. It will help researchers, activists, and policy-makers to come up with a major realization of the pattern of Open Data through Twitter.

• Proceedings of the Korea Contents Association Conference
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• 2017.05a
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• pp.453-454
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• 2017

The travellers using social media leave their location history in the form of trajectories. These trajectories can be bridged for acquiring information, required for future recommendation for the future travelers, who are new to that location, providing all sort of information. In this paper, we propose a personalized travel path recommendation scheme based on social life log. By taking advantage of two kinds of social media such as travelogue and community contributed photos, the proposed scheme can not only be personalized to user's travel interest but also be able to recommend a travel path rather than individual Points of Interest (POIs). It also maps both user's and routes' textual descriptions to the topical package space to get user topical package model and route topical package model (i.e., topical interest, cost, time and season).

• International journal of advanced smart convergence
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• v.13 no.1
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• pp.129-139
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• 2024

In digital marketing, the strategic use of emojis in social media advertising, particularly on the Xiaohongshu app, significantly influences consumer acceptance and purchase behavior. This study examines the impact of emoji-laden advertisements and the role of brand metaphorical warmth on consumer perceptions. Employing a tailored questionnaire, the research explores how emojis affect brand advertisement reception, filling a gap in empirical research on emoji advertising effectiveness. Findings indicate that emojis, when used judiciously, enhance consumer acceptance and contribute to a positive brand perception. However, excessive use may undermine trust. Brand metaphorical warmth emerges as a crucial factor, suggesting that emojis can effectively convey warmth, fostering a deeper emotional connection with consumers. These insights offer practical implications for refining social media marketing strategies, advocating for a balanced approach to emoji usage in advertisements to optimize engagement and influence consumer behavior.

• Asian Journal for Public Opinion Research
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• v.8 no.1
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• pp.41-58
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• 2020

This article attempts to explain social media use within the relationship between the public and government of Indonesia in the era of digital government, as well as to consider public opinion on this matter. This research is based on the application of social media logic and the theory of dialogic communication and action. A qualitative descriptive approach was used to observe the general behavior of social media use by 34 ministries in Indonesia, including interviews with the resource persons within the ministries and focus group discussions with members of the public and observers. The research shows that the relationship between the public and government is accommodative and in line with social media logic. The public sector implemented social media as its platform, which has been further adopted by all ministries. The public sector cannot avoid social media, as it has become part of basic connectivity, even though the use of social media by the government still tends to be in the form of presenting public information. There are advantages and disadvantages of the usage of social media by the government. The advantages include allowing the government to be more open via social media so that communication between the government as the ruling organization and its public can be more fluent. Social media provides space to the public sector in the practice of digital government. Some disadvantages arise as logical consequences that usage of social media cannot be separated from the implementation of digital government. The adaptive behavior of social media by the government can be found by following social media logic as part of digital government implementation. Social media logic causes the government to follow the rules of social media. In this context, the strength and power of the country seems to be regulated by social media. Therefore, more studies on how social media is managed in the context of its usage as digital government support is needed.

• Korean journal of communication and information
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• v.61
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• pp.134-158
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• 2013

The public trades information through social media during crises. The use of social media during crises has been increased steadily. However, there are few studies done on the effects of social media use on crisis perception. The goal of this study is to examine how social media affect an organization's ability to manage crises. The study specifically tries to investigate how media types, organization-public relationships, and image restoration strategies affect the public's perception of crises. An experiment was conducted to test research questions by presenting crisis scenarios and observing how newspapers and the social media Twitter affected the crisis. According to a three-way ANOVA test, the type of media and image restoration strategies had an interaction effect on the public's perception of crises. Also, the type of media, organization-public relationship, and image restoration strategies had a three way effect toward the acceptance of crisis communication strategies. As a result, it can be said that the public's perception and acceptances of crisis communication were different depending on the type of media used. The effectiveness of social media was proved, and it was seen that to be able to effectively use social media, each organization must have different strategies depending on their needs.

• Korean journal of communication and information
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• v.78
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• pp.7-34
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• 2016

The purpose of this study is to examine the factors that influence the risk perception of reality on social media. Specifically, we analyzed how exposure to risk issues through media and bridging/bonding social capital influence social and personal risk perception. Here, we categorized risk issues into infectious diseases, sex crimes, and radioactive contamination. Findings are as follows. The effect that the type of media and social capital have on risk perception vary depending on the risk issues. Regarding issues of disease and radiation, bridging social capital had a positive effect on social risk perception whereas bonding social capital had a negative effect on personal risk perception. In the case of sex crimes, bonding social capital affected both social and personal risk perception negatively, and an interaction effect between exposures and social capital could be found. The significance of this study is that it considers both media variables from previous studies and social capital variables essential to social media studies and combines the two in order to study the factors that influence risk perception.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.14 no.5
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• pp.1984-2002
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• 2020

With the appearance of wireless spectrum crisis in traditional cellular network, device-to-device (D2D) communication has been regarded as a promising solution to ease heavy traffic burden by enabling precise content delivery among mobile users. However, due to the channel sharing, the interference between D2D and cellular users can affect the transmission rate and narrow the throughput in the network. In this paper, we firstly present a weighted interference minimization cluster formation model involving both social attribute and physical closeness. The weighted-interference, which is evaluated under the susceptible-infected(SI) model, is utilized to gather user in social and physical proximity. Then, we address the cluster formation problem via spectrum clustering with iterative operation. Finally, we propose the stable matching theory algorithm in order to maximize rate oriented to accomplish the one-to-one resource allocation. Numerical results show that our proposed scheme acquires quite well clustering effect and increases the accumulative transmission rate compared with the other two advanced schemes.

• Journal of Preventive Medicine and Public Health
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• v.46 no.6
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• pp.336-345
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• 2013

Objectives: Research has shown that obesity appears to spread through social ties. However, the association between other characteristics of social networks and obesity is unclear. This study aimed to identify the association between social network characteristics and body mass index (BMI, $kg/m^2$) in an elderly Korean population. Methods: This cross-sectional study analyzed data from 657 Koreans (273 men, 384 women) aged 60 years or older who participated in the Korean Social Life, Health, and Aging Project. Network size is a count of the number of friends. Density of communication network is the number of connections in the social network reported as a fraction of the total links possible in the personal (ego-centric) network. Average frequency of communication (or meeting) measures how often network members communicate (or meet) each other. The association of each social network measure with BMI was investigated by multiple linear regression analysis. Results: After adjusting for potential confounders, the men with lower density (<0.71) and higher network size (4-6) had the higher BMI (${\beta}$=1.089, p=0.037) compared to the men with higher density (>0.83) and lower size (1-2), but not in the women (p=0.393). The lowest tertile of communication frequency was associated with higher BMI in the women (${\beta}$=0.885, p=0.049), but not in the men (p=0.140). Conclusions: Our study suggests that social network structure (network size and density) and activation (communication frequency and meeting frequency) are associated with obesity among the elderly. There may also be gender differences in this association.

• International Journal of Contents
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• v.14 no.4
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• pp.76-85
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• 2018

While numerous researchers have identified factors that explain social commerce-shopping behaviors, they have left one type rather understudied-trait-based antecedents. The ways consumer behavior is affected by their personal trait-this study therefore proposed and tested hedonic shopping tendencies. Findings indicate that hedonic shopping tendencies are a robust predictor of social support, consumer engagement, and impulse buying. Also, social support and consumer engagement affect social commerce intention and consequently social commerce frequency. Analysis of the results demonstrated a positive relationship between social support and consumer engagement, and the positive relationship between impulse buying and social commerce frequency.

• International Journal of Internet, Broadcasting and Communication
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• v.15 no.1
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• pp.262-268
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• 2023

It is necessary to investigate how age or gender affects visual perception and social skills in late adolescence. A study on the relevance of visual perception in late adolescence, a period that requires social adaptation through the development of social functions, is necessary. The purpose of this study is to investigate the relationship between visual perception and social skills in adolescence. Visual perception and social skill were evaluated for 18-24-year-olds, who are in late adolescence, and were analyzed for gender differences and correlations with chronological age. This study found that there was a difference in visual perceptual function according to gender in late adolescence, and it was significantly higher in men. There was no significant difference in social skills according to gender. However, there was a significantly positive correlation between chronological age and visual perception, but there was no correlation with social skills. These findings provide novel information regarding the developmental course of visual perception and social skill in late adolescence.