How Information Spreads in Online Social Networks

Quinn, Christopher J.; Quinn, Matthew J.; Olinsky, Alan; Quinn, J.

doi:10.1108/s1477-407020160000011012

Cited by 2 publications

(6 citation statements)

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“…In the context of this study and keeping in line with several previous works [ 5 , 7 , 8 , 20 , 36 ] in this area, users between 15 and 30 years of age were labeled as younger and those aged 50+ years old were labeled as older . This work extends current knowledge by examining the perceptions of users as they engage with SNS.…”

Section: Introductionmentioning

confidence: 77%

“…This is due to the fact that younger users create new linkages without much consideration. Relating to functional usage, a hypothesis was proposed that anomalies, identified by Quinn et al [ 8 ], were due to the fact that each cohort attached different values to different functionalities. Results of this study reveal that differing Facebook features are clearly identifiable in terms of their importance for each of the age groups.…”

Section: Discussionmentioning

confidence: 99%

“…The design of the survey was driven by a series of 18 research questions (see Multimedia Appendix 1 ) based on several previous studies [ 5 , 7 , 8 ]. This survey aimed to capture the views of both cohorts in four key areas: (1) functional usage, (2) behavioral patterns, (3) technology, and (4) QoL impact.…”

Section: Methodsmentioning

confidence: 99%

“…A confidence level of 95% was applied. At the time of data collection, the UK Facebook population was 28,940,400, with calculations determining the required sample size to be 474 completed surveys [ 8 ]. Consideration was given to the volumes of users recruited within related research.…”

Section: Methodsmentioning

confidence: 99%

“…The benefits of analyzing user interactions generated from social network sites (SNS) have been well-documented [ 1 - 6 ]. A key finding has been the ability to isolate and report on not just individual behaviors, but also on specific user groups that can be attributed to specific patterns of engagement among variant age cohorts [ 7 , 8 ]. This paper looks to add to the body of evidence that younger and older users interact differently with feature usage and engagement frequency.…”

Section: Introductionmentioning

confidence: 99%

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Exploring the Relationship Between Online Social Network Site Usage and the Impact on Quality of Life for Older and Younger Users: An Interaction Analysis

Quinn

Chen²,

Mulvenna³

et al. 2016

J Med Internet Res

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BackgroundAnalyzing content generated by users of social network sites has been shown to be beneficial across a number of disciplines. Such analysis has revealed the precise behavior of users that details their distinct patterns of engagement. An issue is evident whereby without direct engagement with end users, the reasoning for anomalies can only be the subject of conjecture. Furthermore, the impact of engaging in social network sites on quality of life is an area which has received little attention. Of particular interest is the impact of online social networking on older users, which is a demographic that is specifically vulnerable to social isolation. A review of the literature reveals a lack of knowledge concerning the impact of these technologies on such users and even less is known regarding how this impact varies across different demographics.ObjectiveThe objective of our study was to analyze user interactions and to survey the attitudes of social network users directly, capturing data in four key areas: (1) functional usage, (2) behavioral patterns, (3) technology, and (4) quality of life.MethodsAn online survey was constructed, comprising 32 questions. Each question directly related to a research question. Respondents were recruited through a variety of methods including email campaigns, Facebook advertisements, and promotion from related organizations.ResultsIn total, data was collected from 919 users containing 446 younger and 473 older users. In comparison to younger users, a greater proportion of older users (289/473, 61.1% older vs 218/446, 48.9% younger) (P<.001) stated that Facebook had either a positive or huge impact on their quality of life. Furthermore, a greater percentage of older users strongly agreed that Facebook strengthened their relationship with other people (64/473, 13.5% older vs 40/446, 9.0%younger) (P=.02). In comparison to younger users, a greater proportion of older users had more positive emotions—classified as slightly better or very good—during their engagement with Facebook (186/473, 39.3% older vs 120/446, 26.9% younger) (P<.001).ConclusionsThe results reveal that despite engaging at considerably lower rates with significantly fewer connections, older users gain a greater quality-of-life benefit. Results disclose how both cohorts vary in their use, interactions, and rationale for engaging with Facebook.

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Section: Introductionmentioning

confidence: 77%

Section: Discussionmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Exploring the Relationship Between Online Social Network Site Usage and the Impact on Quality of Life for Older and Younger Users: An Interaction Analysis

Quinn

Chen²,

Mulvenna³

et al. 2016

J Med Internet Res

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2023

IJO-BS

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According to the Internet World Stats (2017), the UAE comes second in terms of the population percentage that are using the internet with a whopping 90.6% which is considered among the highest in the world (Global Information Technology Report, 2017).Access to social network tools is becoming easier and they are gaining more strength and prominence, especially among youth, who show a high interest in using these new technologies (Liu et al., 2021). As new technological advances appear that allow people to interact online (such as social networks through a telephone or a handheld computer), problems may arise, such as staying connected to the networks for certain periods of time and paying less and less attention to what us is around. Social networks, in their beginnings, attracted the attention of few people. Only those who had access to an Internet connection could access these pages, register and be part of a virtual community (Gong et al., 2018). Thanks to the advancement of technology, they have now become a viral phenomenon and are present almost everywhere. By not having any restrictions for the use of the Internet in classes, students who have an electronic device can easily access their social networks at any time, even during class hours (Vignery & Laurier, 2020). In this way, students spend their time connecting to social networks, devoting their attention to these virtual platforms. The more popular social networks become, it would seem that they become indispensable in the lives of students.At the same time, they could generate a distraction in students during class hours, so that the content taught by teachers does not come from the same source for all their students (Whelan et al., 2020). Although teachers establish rules of behavior, including not using cell phones during class hours, few people abide by these provisions. While the class is going on, there are students who pay most of their attention to what happens on these platforms, and their participation in the classroom is little or scarce, causing the topics covered not to be fully understood and the knowledge not to be adequately absorbed. The attention that university students give to social networks has positive aspects, such as using online communities to obtain help and academic assistance (Ameen et al., 2019). Social networks can offer benefits such as virtual spaces to explore similar interests with mutual friends, help with academics and homework, and students who are not inclined to participate in classes can participate in online discussion forums . A negative aspect would be that students use their electronic devices while they are in class, doing their homework or studying, increasing distraction and reflecting poor academic Information of Article

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How Information Spreads in Online Social Networks

Cited by 2 publications

References 35 publications

Exploring the Relationship Between Online Social Network Site Usage and the Impact on Quality of Life for Older and Younger Users: An Interaction Analysis

Exploring the Relationship Between Online Social Network Site Usage and the Impact on Quality of Life for Older and Younger Users: An Interaction Analysis

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