58 research outputs found

    Study on User Behavior for Assessing Symptoms of Excessive SNS Usage

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    芝浦工業大学2018年

    Negative psychological and physiological effects of social networking site use: The example of Facebook

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    Social networking sites (SNS), with Facebook as a prominent example, have become an integral part of our daily lives and more than four billion people worldwide use SNS. However, the (over-)use of SNS also poses both psychological and physiological risks. In the present article, we review the scientific literature on the risk of Facebook (over-)use. Addressing this topic is critical because evidence indicates the development of problematic Facebook use (“Facebook addiction”) due to excessive and uncontrolled use behavior with various psychological and physiological effects. We conducted a review to examine the scope, range, and nature of prior empirical research on the negative psychological and physiological effects of Facebook use. Our literature search process revealed a total of 232 papers showing that Facebook use is associated with eight major psychological effects (perceived anxiety, perceived depression, perceived loneliness, perceived eating disorders, perceived self-esteem, perceived life satisfaction, perceived insomnia, and perceived stress) and three physiological effects (physiological stress, human brain alteration, and affective experience state). The review also describes how Facebook use is associated with these effects and provides additional details on the reviewed literature, including research design, sample, age, and measures. Please note that the term “Facebook use” represents an umbrella term in the present work, and in the respective sections it will be made clear what kind of Facebook use is associated with a myriad of investigated psychological variables. Overall, findings indicate that certain kinds of Facebook use may come along with significant risks, both psychologically and physiologically. Based on our review, we also identify potential avenues for future research

    Against remediation

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    Risky Behaviour: Psychological Mechanisms Underpinning Social Media Users’ Engagement

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    Social media has received considerable media attention due to concerns that its use may be linked to risky behaviours, e.g., sharing personal information (Tow, Dell, & Venable, 2010), sexual communication with strangers (Baumgartner, Valkenburg, & Peter, 2010b) and extreme communities that may encourage self-harm and eating disorders (Lewis, Heath, Sornberger, & Arbuthnott, 2012). This thesis identifies who is using social media, what factors influence usage and willingness to engage in online risk behaviour, whether there is a link between content viewed on social media and offline risk behaviour, and the role of extreme communities for users. A mixed method approach is applied to survey and social media data. The first part of the thesis identifies younger users and female users as those most intensively using social media (partially explained by stronger social norms and experiencing more positive outcomes). Attitudes towards risk takers, norms and past behaviour predict willingness to engage in online risk. There is also a link between the content that users view on social media and engaging in offline risk behaviour; this link was stronger for male users. However no age differences were found. The second half of this thesis focuses on online communication around eating disorders and self-harm. Although some content did encourage these behaviours, the majority of the content was of a positive nature and appeared to provide social support for users. These findings suggest that the media portrayal of social media may be misleading. Two important outcomes are highlighted; Firstly, younger users may not necessarily be more vulnerable and, second, that care is needed to ensure that interventions respect the positive side of social media use and limit risks without disrupting potentially positive social networks. Implications include the guiding of such interventions, future research and policy

    Mental health data science in rich longitudinal cohort studies

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