ASM-Based Objectionable Image Detection in Social Network Services by Sung-Il Joo, Seok-Woo Jang, Seung-Wan Han, Gye-Young Kim

“…This paper presents a method for detecting harmful images using an active shape model (ASM) in social network services (SNS). For this purpose, our method first learns the shape of a woman's breast lines through principal component analysis and alignment, as well as the distribution of the intensity values of the corresponding control points. …”
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A Scalable and Privacy-Aware Location-Sensing Model for Ephemeral Social Network Service by Yongqiang Lyu, Dezhi Hong, Ying Wang, Yinghong Hou, Zhengwen Yang, Yu Chen, Yuanchun Shi, Alvin Chin

“…Social network services (SNSs) are developing at an explosive speed, which makes it easy for people to be closely connected. …”
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Advance in Safe and Useful Social Network Services with Context-Sensitive Data in Cyber-Physical System by Jong M. Choi, Hoon Ko, Marek R. Ogiela, Goreti Marreiros

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Contribution of geotagged Twitter data in the study of a social group’s activity space by Alexandre Cebeillac, Yves-Marie Rault

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Sociologia Digital: apontamentos teórico-metodológicos para uma analítica das mídias digitais by Felipe Padilha, Lara Facioli

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The use of communication tools among japanese mothers living in France by Mikoto F. Kukimoto

“…This study aims to show, first, what support is available and how mothers can obtain it when raising children abroad, and second, what role the Internet and Mixi as the most famous Social networking service in Japan play in acquiring and exchanging child-rearing information. …”
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Trust information network in social Internet of things using trust-aware recommender systems by Juyeon Son, Wonyoung Choi, Sang-Min Choi

“…Trust-aware recommender systems adapt the concept of social networking service and utilize social interaction information. …”
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Effects of different educational interventions on cervical cancer knowledge and human papillomavirus vaccination uptake among young women in Japan: Preliminary results of a cluster... by Yuko Takahashi, Yukifumi Sasamori, Risa Higuchi, Asumi Kaku, Tomoo Kumagai, Saya Watanabe, Miki Nishizawa, Kazuki Takasaki, Haruka Nishida, Takayuki Ichinose, Mana Hirano, Yuko Miyagawa, Haruko Hiraike, Koichiro Kido, Hirono Ishikawa, Kazunori Nagasaka

“…We surveyed 188 Japanese female students, divided into three groups according to the intervention: no intervention, print-based intervention, and social networking service-based intervention. Twenty questionnaires and the Communicative and Critical Health Literacy scales were used as health literacy scales. …”
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I know your stance! Analyzing Twitter users’ political stance on diverse perspectives by Jisu Kim, Dongjae Kim, Eunil Park

“…Abstract The popularity of social network service users has increased in recent years, altering politicians’ interest level in social network services. …”
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Privacy-Preserving Discovery of Topic-Based Events from Social Sensor Signals: An Experimental Study on Twitter by Duc T. Nguyen, Jai E. Jung

“…Social network services (e.g., Twitter and Facebook) can be regarded as social sensors which can capture a number of events in the society. …”
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Preserving data privacy in social recommendation by Shu-shu LIU, An LIU, Lei ZHAO, Guan-feng LIU, Zhi-xu LI, Kai ZHENG, Xiao-fang ZHOU

“…Social recommendation is a method which requires the participants of both user’s historical behavior data and social network,which generally belong to different parties,such as recommendation system service provider and social network service provider.Considering the fact that in order to maintain the value of their own data interests and user’s privacy,none of them will provide data information to the other,two privacy preserving protocols are proposed for efficient computation of social recommendation which needs the cooperation of two parties (recommendation system service provider and social network service provider).Both protocols enable two parties to compute the social recommendation without revealing their private data to each other.The protocol based on the well-known oblivious transfer multiplication has a low cost,and is suitable for the application of high efficiency requirements.And the one based on homomorphic cryptosystem has a better privacy preserving,and is more suitable for the application of higher data privacy requirements.Experimental results on the four real datasets show those two protocols are efficient and practical.Users are suggested to choose the appropriate protocol according to their own need.…”
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Stock Price Change Rate Prediction by Utilizing Social Network Activities by Shangkun Deng, Takashi Mitsubuchi, Akito Sakurai

“…Individual participants may express their opinions in social network service (SNS) before or after their transactions in the market; we hypothesize that stock price change rate is better predicted by a function of social network service activities and technical indicators than by a function of just stock market activities. …”
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Location privacy protection for mobile social network by Zhi-kai XU, Hong-li ZHANG, Jian-tao SHI, Zhi-hong TIAN

“…Given its high utility value,mobile social network services(MSNS),however,has raised serious concerns about users’ location privacy.The location privacy requirements of users in MSNS are personal and dynamic,thus a metric called confidence was proposed to quantify the privacy risks.To avoid the adversary inferring users’ privacy,a method of legation privacy protection was designed to calculate the correlation between the locations through lo-cation information,social relation and personal information.Then the correlation and the space-time background were used to evaluate whether the users’ published geo-content meet the user’s privacy requirement.Eventually,our experimental results demonstrate the validity and practicality of the proposed strategy.…”
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A Shared Interest Discovery Model for Coauthor Relationship in SNS by Xin An, Shuo Xu, Yali Wen, Mingxing Hu

“…A social network service (SNS) is a platform to build social networks or social relations among people. …”
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Lightweight Word Spacing Model Based on Short Text Messages for Social Networking in Smart Homes by Yeongkil Song, Harksoo Kim

“…In smart homes, information appliances interact with residents via social network services. To capture residents' intentions, the information appliances should analyze short text messages entered typically through small mobile devices. …”
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Using transformer-based models and social media posts for heat stroke detection by Sumiko Anno, Yoshitsugu Kimura, Satoru Sugita

“…In recent years, social networking services (SNS) have been recognized for their potential role in this domain. …”
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Storm-based distributed sampling system for multi-source stream environment by Wonhyeong Cho, Myeong-Seon Gil, Mi-Jung Choi, Yang-Sae Moon

“…As a large amount of data streams occur rapidly in many recent applications such as social network service, Internet of Things, and smart factory, sampling techniques have attracted many attentions to handle such data streams efficiently. …”
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Changes in Internet Activities and Influencing Factors for Problematic Internet Use During the COVID-19 Pandemic in Korean Adolescents: Repeated Cross-Sectional Study by Sol I Kim, Jae-Chan Jin, Seo-Koo Yoo, Doug Hyun Han

“…In 2019, both the game and video groups had higher YIAS scores than other groups (F5=9.37; P<.001), and by 2022, the YIAS scores among the game, video, and Social Network Service groups did not differ significantly. …”
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