Monitoring people using location-based social networking and its negative impact on trust

Fusco, Sarah Jean; Michael, Katina; Aloudat, Anas

doi:10.1109/istas.2011.7160597

Cited by 15 publications

(5 citation statements)

References 21 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Many researchers have reported that people often play different roles in online games, which enables teenagers to obtain social support unavailable in real life and meet various emotional needs ( Young, 1997 ; Trepte et al, 2012 ; O’Connor et al, 2015 ). However, some researchers believe that relationships formed on such networks are shallow, illusory, and sometimes risky and hostile ( Hills and Argyle, 2003 ; Wei, 2010 ; Fusco et al, 2015 ). In conclusion, whether the relationship between social support and Internet addiction is positive or negative as well as whether other variables (e.g., loneliness) exist between them is unclear.…”

Section: Literature Reviewmentioning

confidence: 99%

Relationships Between Social Support, Loneliness, and Internet Addiction in Chinese Postsecondary Students: A Longitudinal Cross-Lagged Analysis

Zhang

Sui

et al. 2018

Front. Psychol.

View full text Add to dashboard Cite

Using the Internet has become one of the most popular leisure activities among postsecondary students in China. Concern about the large number of students using the Internet has led to an increase in research on the influencing factors of Internet addiction and the negative consequences caused by it. This short-term longitudinal study examined the associations among three dimensions of social support [objective support (OS), subjective support (SS), and support utilization (SU)], loneliness, and the four dimensions of Internet addiction (compulsive Internet use [CIU] & withdrawal from Internet addiction [WIA], tolerance of Internet addiction [TIA], time-management problems [TMPs], and interpersonal and health problems [IHPs]) in a Chinese sample. A total of 169 postsecondary first-year students (88 girls and 81 boys; mean age = 18.31 years) participated in the study. The questionnaire measurements were taken at the beginning of the school year (T1), 6 months later (T2), and 1 year later (T3). Cross-lagged and structural equation modeling analyses indicated that (a) OS (T1) and SU (T1) negatively predicted loneliness (T2); and loneliness (T2) negatively predicted OS (T3) and SU(T3); (b) CIU & WIA (T1) and TMPs (T1) positively predicted loneliness (T2); and loneliness (T2) positively predicted CIU & WIA (T3), TIA (T3), TMP (T3), and IHP (T3); (c) SS (T1) directly affected TIA (T3) and TMP (T3); and (d) loneliness (T2) played a mediating role in the relationships between OS (T1) and CIU (T3), OS (T1) and TMP (T3), OS (T1) and IHP (T3), and SU (T1) and IHP (T3). Finally, interventions for Internet addiction and implications for future studies were discussed.

show abstract

Section: Literature Reviewmentioning

confidence: 99%

Relationships Between Social Support, Loneliness, and Internet Addiction in Chinese Postsecondary Students: A Longitudinal Cross-Lagged Analysis

Zhang

Sui

et al. 2018

Front. Psychol.

View full text Add to dashboard Cite

show abstract

“…We are reminded again that there are many camera views, that there is constant watching occurring [20], "power through transparency" and "subjection by illumination" [p. 95], following Foucault [21]. In every direction and at every hour, we can assume we are being watched, and this is particularly true of the public sphere [22], [23]. However, this is true even at home.…”

Section: Reviewed By Katina Michaelmentioning

confidence: 99%

The Crowdsourced Panopticon: Conformity and Control on Social Media—Jeremy Weissman (New York, NY, USA: Rowman & Littlefield, 2021)

Michael

2023

IEEE Technol. Soc. Mag.

Self Cite

View full text Add to dashboard Cite

“…In the proposed mechanism, the friend relationships are divided into five different levels in descending order: family (5), close friends (4), acquaintances (3), friends with similar interests (2), and online friends (1), with the higher number (weight) the higher priority. The five levels of friend relationships are defined and influenced by [20], [21]. An example of the social relationship and resource contribution table is shown in the table I, containing five fields: friend name, relationship, social weight (SW), receiving contribution (RC) in terms of uploaded volume, and providing contribution (PC) in terms of downloaded volume.…”

Section: A Social Relationship Managementmentioning

confidence: 99%

A Social-Aware P2P Video Transmission Strategy for Multimedia IoT Devices

Hsu

Tung

2020

IEEE Access

View full text Add to dashboard Cite

With the growing popularity of social network and video sharing services, video sharing behaviors have become increasingly socializing. People can produce and share high-quality videos at any time and place using high-speed mobile networks and multimedia IoT devices, e.g., Android Things and smart TV Boxes. The multimedia IoT devices require higher bandwidth, memory, and computing resources to process and transmit multimedia contents such as audio, video, and image. In this paper, we propose a social-aware P2P video transmission strategy for multimedia IoT devices. In the proposed architecture, multimedia IoT devices are communicated using a peer-to-peer network. The peers in our work are represented by multimedia IoT devices with user interactions. Since users have their own friend list, the social links can be classified into different priority classes in accordance with their social relationships, e. g., family, friends, and others. The proposed strategy adopts weighted fair queue (WFQ) for P2P video transmission according to different queuing priority classes. Each priority class is given a weighted factor according to social relationship, current download progress, and mutual resource sharing contributions. By leveraging the inherent trust associated with social links, the proposed strategy can reduce the impact of free riders and give users good video sharing and watching experiences with multimedia IoT devices.INDEX TERMS Multimedia IoT, P2P network, social network, video streaming.

show abstract

Monitoring people using location-based social networking and its negative impact on trust

Cited by 15 publications

References 21 publications

Relationships Between Social Support, Loneliness, and Internet Addiction in Chinese Postsecondary Students: A Longitudinal Cross-Lagged Analysis

Relationships Between Social Support, Loneliness, and Internet Addiction in Chinese Postsecondary Students: A Longitudinal Cross-Lagged Analysis

The Crowdsourced Panopticon: Conformity and Control on Social Media—Jeremy Weissman (New York, NY, USA: Rowman & Littlefield, 2021)

A Social-Aware P2P Video Transmission Strategy for Multimedia IoT Devices

Contact Info

Product

Resources

About