764 research outputs found

    The best of both worlds? Online ties and the alternating use of social network sites in the context of migration

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    While an ever-growing body of research is concerned with user behavior on individual social network sites (SNSs)—mostly Facebook—studies addressing an alternating use of two or more SNS are rare. Here, we investigate the relationship between alternating SNS use and social capital in the context of migration. Alternating SNS use avoids some of the problems associated with large networks located on one site; in particular the management of different social or cultural spheres. Not only does this strategy hold potential for increased social capital, it also provides a particular incentive for migrants faced with the challenge of staying in touch with back home and managing a new social environment. Two survey studies are presented that focus on the relationship between alternating SNS use and online ties in a migrant context involving Indian nationals. Study 1 looked at migration within India, whereas Study 2 compared international with domestic SNS users. In both studies, alternating SNS use added to the prediction of online network size and accounted for differences in network size found for migrant and non-migrant users. Differences were due to the number of peripheral ties, rather than core ties. Findings suggest that alternating SNS use may constitute a compensatory strategy that helps to overcome lower levels of socializing represented through a single SNS

    Activity in social media and intimacy in social relationships

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    We investigated associations between online and offline socialising and groups of social ties as postulated by the Social Brain Hypothesis (SBH). An online survey of social media use, social satisfaction and loneliness generated 249 complete responses from a sample of staff and students at the University of Manchester. Regression-based analyses showed that offline social activities and social time were positively associated with size of a core support group and social satisfaction. In contrast, social media time was positively associated with social satisfaction and the size of the total network, while the number of online contacts was positively related to social satisfaction, size of a wider sympathy group and total network size. No effect for loneliness was found. The number of ties reported for each SBH group was similar to that in previous studies. The more intimate support group (∼5) appears to be more closely connected with offline social activities, whereas social media use and contacts influence the less intimate sympathy group (∼15) and total network (∼150). These findings provide further support for functional differences between different layers of closeness in personal networks, and they help us in further defining the boundaries of relationship enhancement via communication technology

    Online social network data as sociometric markers

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    Data from online social networks carry enormous potential for psychological research, yet their use and the ethical implications thereof are currently hotly debated. The present work aims to outline in detail the unique information richness of this data type and, in doing so, to support researchers when deciding on ethically appropriate ways of collecting, storing, publishing, and sharing data from online sources. Focusing on the very nature of social networks, their structural characteristics and depth of information, a detailed and accessible account of the challenges associated with data management and data storage is provided. In particular, the general non-anonymity of network data sets is discussed, and an approach is developed to quantify the level of uniqueness that a particular online network bestows upon the individual maintaining it. Using graph enumeration techniques, it can be shown that comparatively sparse information on a network is suitable as a sociometric marker that allows for the identification of an individual from the global population of online users. The impossibility of anonymizing specific types of network data carries implications for ethical guidelines and research practice. At the same time, network uniqueness opens up opportunities for novel research in psychology
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