The Cost of Using Facebook: Assigning Value to Privacy Protection on Social Network Sites Against Data Mining, Identity Theft, and Social Conflict

2013 ◽  
pp. 323-341 ◽  
Author(s):  
Wouter Martinus Petrus Steijn
Keyword(s):  
Data Mining ◽  
Social Network ◽  
Privacy Protection ◽  
Social Conflict ◽  
Social Network Sites ◽  
Identity Theft ◽  
The Cost

The cost of (anti-) social networks: Identity, agency and neo-luddites

First Monday ◽  
2006 ◽  
Author(s):  
Ryan Bigge
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Social Networking ◽  
Social Networking Sites ◽  
Media Coverage ◽  
Social Network Sites ◽  
Technological Determinism ◽  
Theoretical Approaches ◽  
The Media ◽  
The Cost

The media coverage and resultant discourse surrounding social networking sites such as Facebook, MySpace and Friendster contain narratives of inevitability and technological determinism that require careful explication. Borrowing a tactic from the Russian Futurists, this paper attempts to make strange (that is, to defamiliarize) social network sites and their associated discourses by drawing upon an eclectic but interrelated set of metaphors and theoretical approaches, including: the digital enclosure, network sociality, socio-technical capital and Steven Jones’s recent examination of neo-Luddites. Whenever appropriate, this paper will integrate relevant magazine and newspaper journalism about social networking sites.

ICT Teachers, Social Network Sites and Online Privacy

2015 ◽  
Vol 4 (4) ◽  
pp. 69-81
Author(s):  
Václav Šimandl
Keyword(s):  
Social Network ◽  
Student Teacher ◽  
Privacy Protection ◽  
Teaching And Learning ◽  
Social Network Sites ◽  
Security And Privacy ◽  
The Internet ◽  
Structured Interviews ◽  
Open Coding ◽  
Privacy Risks

Abstract The article looks at primary and secondary ICT teachers’ attitude to social network sites and privacy protection on the Internet. Attention is devoted to student-teacher friendships within online network sites. The study includes a description of specific habits as well as a discussion of how teachers make decisions and what influences them. The research has used in-depth semi-structured interviews, focusing on ICT teachers with differing views on the issue in question. Our investigations have been supported by triangulation, which involved accessing information about given teachers on social network sites. Data gained from interviews and triangulation has been processed using open coding. The results of our investigation show that teachers appreciate SNS because of the possibility to communicate and keep in touch with people they know, including former pupils. Teachers are concerned about the risks associated with using SNS, particularly security and privacy risks, and they feel even more under threat due to their occupation. Some teachers decided not to reject their pupils’ friend requests for educational reasons, claiming SNS serve as a channel of communication to support teaching and learning.

Why we need to examine multiple social network sites

2016 ◽  
Vol 1 (4) ◽  
pp. 489-493 ◽  
Author(s):  
Airi Lampinen
Keyword(s):  
Social Media ◽  
Social Network ◽  
Social Interaction ◽  
Interpersonal Relationships ◽  
Social Network Sites ◽  
Identity Work ◽  
Privacy Management ◽  
The Cost ◽  
Interaction Change

The hyper-concentration of research on mainstream social media sites like Facebook and Twitter comes at the cost of lesser emphasis on, if not the exclusion of, other platforms and practices. How might our conceptualizations of social media and social interaction change if we were to explore a wider range of systems to enrich our theorizing? This piece considers three examples of how looking beyond the usual suspects may broaden our understanding of how social media sites play into privacy management, identity work, and interpersonal relationships. I argue that our theorizing of social media and the practices that surround them gains strength from exploring varied sites of study.

scholarly journals A Survey of Data Mining Techniques for Social Media Analysis

2014 ◽  
Vol 2014 ◽  
Author(s):  
Mariam Adedoyin-Olowe ◽  
Mohamed Medhat Gaber ◽  
Frederic Stahl
Keyword(s):  
Data Mining ◽  
Social Network ◽  
Data Analysis ◽  
Social Network Sites ◽  
Statistical Modelling ◽  
Data Interpretation ◽  
Media Analysis ◽  
Data Mining Techniques ◽  
Useful Knowledge ◽  
Wide Range

Social network has gained remarkable attention in the last decade. Accessing social network sites such as Twitter, Facebook LinkedIn and Google+ through the internet and the web 2.0 technologies has become more affordable. People are becoming more interested in and relying on social network for information, news and opinion of other users on diverse subject matters. The heavy reliance on social network sites causes them to generate massive data characterised by three computational issues namely; size, noise and dynamism. These issues often make social network data very complex to analyse manually, resulting in the pertinent use of computational means of analysing them. Data mining provides a wide range of techniques for detecting useful knowledge from massive datasets like trends, patterns and rules [44]. Data mining techniques are used for information retrieval, statistical modelling and machine learning. These techniques employ data pre-processing, data analysis, and data interpretation processes in the course of data analysis. This survey discusses different data mining techniques used in mining diverse aspects of the social network over decades going from the historical techniques to the up-to-date models, including our novel technique named TRCM. All the techniques covered in this survey are listed in the Table.1 including the tools employed as well as names of their authors. Comment: 25 pages, 9 figures

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