scholarly journals Goffman's Theory as a Framework for Analysis of Self Presentation on Online Social Networks

2019 ◽  
Vol 13 (2) ◽  
pp. 243-276 ◽  
Author(s):  
Lucie Merunková ◽  
Josef Šlerka

To investigate how people form their identity on social networks and control the impressions they invoke in their audiences, we analyzed personal profiles of 50 university student Facebook users using Erving Gofmann´s dramaturgical theory. We identified five basic forms through which users create and present their identities: The Public diary, The Influencer, The Entertainer, Job and education and Hobby, as well as the appropriate secondary roles performed by users who interact with them.These findings are corroborated by 8 semi-structured interviews with respondents, which enable a more in-depth exploration of the way they use Facebook, the social interactions they participate in, their motivation for posting contributions, and how they engage in impression management, perceive privacy and resolve issues caused by multiple audiences.A better understanding of how privacy is conceived and what motivates users to share their personal information online is essential for public authorities’ cooperation on shaping company privacy policies and creation of appropriate legal regulations.The key results confirm the presence of conscious effort to make a desired impression and prove Goffman’s theory of face-to-face interactions to be relevant in the context of online social networks.

2018 ◽  
Vol 7 (1.7) ◽  
pp. 142
Author(s):  
Hemalatha D ◽  
Almas Begum ◽  
Alex David S

Presently, the growth of Social media is explosive among the users. Increasingly developed social websites like Flickr, Facebook, Google+, LinkedIn etc permits the users to create, share and view the post. Confidentiality is a leading factor required in Social Networks. The social users upload their photos to the social sites that intend to gain public interest for social purposes. The exposure of personal information leads to slipping process like identity stealing, morphing etc, which are against the privacy violations. Relied upon the personal characteristics of users, the privacy settings of each user should be defined. In this paper, a relational study about the privacy settings in Online Social structure is examined. Initiated by the importance of social networks among the social users and their behavior towards Online Social Networks, which is followed by the privacy techniques suggested by other researchers are explored. At last, an overview about the merits and demerits of privacy designs and schemes for the user-uploaded images are presented. The study results a new privacy system that controls the confidential information from being accessed from different devices, including mobile devices and computers.


2016 ◽  
Vol 20 (3) ◽  
pp. 845-861 ◽  
Author(s):  
Alexandre Fortier ◽  
Jacquelyn Burkell

Earlier research using qualitative techniques suggests that the default conception of online social networks is as public spaces with little or no expectation of control over content or distribution of profile information. Some research, however, suggests that users within these spaces have different perspectives on information control and distribution. This study uses Q methodology to investigate subjective perspectives with respect to privacy of, and control over, Facebook profiles. The results suggests three different types of social media users: those who view profiles as spaces for controlled social display, exerting control over content or audience; those who treat their profiles as spaces for open social display, exercising little control over either content or audience; and those who view profiles as places to post personal information to a controlled audience. We argue that these different perspectives lead to different privacy needs and expectations.


In this modern era of technology, everyone accessing the Internet is obsessed with social media. A User accesses different social media services to fulfill his diverse needs. For instance, Instagram is mainly used for sharing personal visual content while Twitter is known for finding latest news and trends, similarly Facebook for personal posts. Such services lead to the distribution of personal information of an Internet user on these platforms. In this paper, we build a framework to discover the relationship among the attributes of a user across the social media.We use different fuzzy string matching algorithms to find the similarities between the attributes. We extract the ‘name’ and ‘username’ from a publicly shared dataset and apply two character based and token based algorithms on these features. The results are indicative of the fact that only a limited number of users share the same name and username across the sites. On further analysis, it is found that although name and username of most of the users do not exactly match, they tend to be similar with the infinitesimal difference like; underscore, period, one digit numbers, etc. This study provides an analysis of the typical variations in names and usernames, which can further be studied for the extension to other social networks This profile will help in behavior analysis of a user, which will further help us to improve recommendations and analyze for criminal behavior and similar applications.


Author(s):  
María Leonila García Cedeño ◽  
Anicia Katherine Tarazona Meza ◽  
Robert Gonzalo Cedeño Mejía

Resilience is a phenomenon that can be studied in catastrophic situations but also in everyday matters such as disability, this being an alternative way of working in the environment that requires the adaptation of the social networks that contain and support people with this condition. The research was conducted at the Technical University of Manabí applied to the population of students with disabilities. The paper presents an analysis of support networks and their relationship with student resilience. The results related to the application of the Saavedra-Villalta test are shown, which allowed to correlate the level of resilience of the sample studied with the support networks. An analysis linked to the interpretation of the Pearson correlation coefficient is presented. The result obtained is presented by applying semi-structured interviews to a sample of 48 disabled students.


2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Teruyoshi Kobayashi ◽  
Mathieu Génois

AbstractDensification and sparsification of social networks are attributed to two fundamental mechanisms: a change in the population in the system, and/or a change in the chances that people in the system are connected. In theory, each of these mechanisms generates a distinctive type of densification scaling, but in reality both types are generally mixed. Here, we develop a Bayesian statistical method to identify the extent to which each of these mechanisms is at play at a given point in time, taking the mixed densification scaling as input. We apply the method to networks of face-to-face interactions of individuals and reveal that the main mechanism that causes densification and sparsification occasionally switches, the frequency of which depending on the social context. The proposed method uncovers an inherent regime-switching property of network dynamics, which will provide a new insight into the mechanics behind evolving social interactions.


Author(s):  
Lillian Mwanri ◽  
Leticia Anderson ◽  
Kathomi Gatwiri

Background: Emigration to Australia by people from Africa has grown steadily in the past two decades, with skilled migration an increasingly significant component of migration streams. Challenges to resettlement in Australia by African migrants have been identified, including difficulties securing employment, experiences of racism, discrimination and social isolation. These challenges can negatively impact resettlement outcomes, including health and wellbeing. There has been limited research that has examined protective and resilience factors that help highly skilled African migrants mitigate the aforementioned challenges in Australia. This paper discusses how individual and community resilience factors supported successful resettlement Africans in Australia. The paper is contextualised within a larger study which sought to investigate how belonging and identity inform Afrodiasporic experiences of Africans in Australia. Methods: A qualitative inquiry was conducted with twenty-seven (n = 27) skilled African migrants based in South Australia, using face-to-face semi-structured interviews. Participants were not directly questioned about ‘resilience,’ but were encouraged to reflect critically on how they navigated the transition to living in Australia, and to identify factors that facilitated a successful resettlement. Results: The study findings revealed a mixture of settlement experiences for participants. Resettlement challenges were observed as barriers to fully meeting expectations of emigration. However, there were significant protective factors reported that supported resilience, including participants’ capacities for excellence and willingness to work hard; the social capital vested in community and family support networks; and African religious and cultural values and traditions. Many participants emphasised their pride in their contributions to Australian society as well as their desire to contribute to changing narratives of what it means to be African in Australia. Conclusions: The findings demonstrate that despite challenges, skilled African migrants’ resilience, ambition and determination were significant enablers to a healthy resettlement in Australia, contributing effectively to social, economic and cultural expectations, and subsequently meeting most of their own migration intentions. These findings suggest that resilience factors identified in the study are key elements of integration.


2020 ◽  
Vol 4 (Supplement_1) ◽  
pp. 543-543
Author(s):  
Skye Leedahl ◽  
Melanie Brasher ◽  
Erica Estus

Abstract To more rigorously examine the University of Rhode Island Cyber-Seniors Program, we conducted a quasi-experimental study to examine if older adult senior center participants (n=25) improved scores on social and technological measures compared to a sample of senior center participants (n=25) who did not take part in the program. Findings showed that participants improved on technology measures compared to the non-participants, including searching and finding information about goods & services, obtaining information from public authorities or services, seeking health information, sending or receiving emails, and participating in online social networks (p<.05). However, participants did not change on social measures. There is either a need to identify better social measures to understand the social benefits of taking part, or to bolster the program to aid in helping older adults alleviate isolation and loneliness. Information on best practices and challenges for gathering outcomes from older participants will be discussed. Part of a symposium sponsored by Intergenerational Learning, Research, and Community Engagement Interest Group.


2021 ◽  
Vol 0 (0) ◽  
Author(s):  
Junguang Gao ◽  
Yuan Cheng ◽  
Hui He ◽  
Fuzhen Gu

Abstract Innovative startups can bring many benefits to society. Drawing on the social network theory (SNT) and resource-based view (RBV), with mix methods approach, this paper argues that as the primary path for startups acquiring external resources, social networks are beneficial to improving innovative startups’ innovation performance. Using a large amount of data from GEM (Global Entrepreneurship Monitor), this paper first runs correlation analysis and regression analysis to empirically analyze entrepreneurs’ social networks’ impact on China’s innovative startups’ innovation performance. The results show that both formal and informal social networks are positively correlated with innovative startups’ innovation performance. Then we consider the moderating effect of entrepreneurial competence and motivation. And the results show both entrepreneurial competence and motivation positively moderate the correlation above. Second, to explore the above correlation’s internal mechanism, we conduct semi-structured interviews with 14 entrepreneurs. Drawing on the resource management theory (RMT) and the process of cross-border knowledge search and assimilation, the mechanism model of entrepreneurs’ social networks on startups’ innovation performance is proposed through content analysis.


2010 ◽  
Vol 25 (2) ◽  
pp. 109-125 ◽  
Author(s):  
Hanna Krasnova ◽  
Sarah Spiekermann ◽  
Ksenia Koroleva ◽  
Thomas Hildebrand

On online social networks such as Facebook, massive self-disclosure by users has attracted the attention of Industry players and policymakers worldwide. Despite the Impressive scope of this phenomenon, very little Is understood about what motivates users to disclose personal Information. Integrating focus group results Into a theoretical privacy calculus framework, we develop and empirically test a Structural Equation Model of self-disclosure with 259 subjects. We find that users are primarily motivated to disclose Information because of the convenience of maintaining and developing relationships and platform enjoyment. Countervailing these benefits, privacy risks represent a critical barrier to information disclosure. However, users’ perception of risk can be mitigated by their trust in the network provider and availability of control options. Based on these findings, we offer recommendations for network providers.


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