Online social networks (OSN) have become a part of our daily lives whether they are used for socialization and communication or to promote business interests. OSN have become an important tool for businesses to advertise, create brand awareness, and promote their products and services. Business use of OSN for advertising purposes is highly reliant on targeted ads which display advertisements to OSN users based on their demographics and use of OSN, apps, and websites. Thus, one of the (...) most valuable commodities of OSN is the population of users and the information they share. To investigate the relationship between OSN site use, use of privacy settings, and how they relate to profile disclosure, a model is built based on the theory of reasoned action and the privacy calculus model. To validate the model, a survey is conducted and the results are analyzed with partial least squares. Risk and benefit were both shown to be significant antecedents of attitude. Both attitude and subjective norm, from the theory of reasoned action model, significantly affected OSN site use, while omitting intentions. OSN site use was significantly related to both profile disclosure and use of privacy settings. Last, use of privacy settings significantly affected profile disclosure. These results imply that use of privacy settings does not decrease the rate of disclosure. Giving users tools to protect their private information is important in protecting the privacy of OSN users, and it will lead to increases in safe disclosure of information helping OSN target ads effectively. (shrink)

Purpose Online social networks can bridge the gap between distant individuals by simulating online experiences that closely resemble physical interactions. While people have positive experiences, such as joy, in a physical relationship and would like to enjoy those experiences online, they also have negative experiences, such as being subject to a lie. An online social network may allow users to lie to simulate a real-world social group better. However, lying must be prevented (...) on social networks as unethical behavior. Thus, this study aims to investigate an ethical dilemma raised due to the two abovementioned perspectives. Design/methodology/approach This paper examines different aspects of lying in social networks, using a comprehensive descriptive literature review approach and a classification scheme. Findings Contrary to their initial intent, social networks are disrupting the traditional notion of human interaction, either by disregarding the presence of dishonesty or by attempting to regulate relationships. In this research, the authors examine the challenges of these two perspectives by identifying enablers, consequences and control measures of lying on social networks at the individual, social and technological levels. The authors also develop a framework to facilitate investigating this dilemma. Originality/value This paper examines a controversial topic. Although lying is unethical, allowing users to lie may be considered an appealing feature of social network platforms. This paper offers a framework to propose several research directions for future studies. This study’s examination focuses on the challenges associated with deception on social networks, prompting the formulation of three crucial questions regarding the potential impact of technology on such behavior. (shrink)

Online social networks play an increasingly important role in communication between friends, colleagues, business partners, and family members. This development sparked public and scholarly debate about how these new platforms affect dynamics of cultural diversity. Formal models of cultural dissemination are powerful tools to study dynamics of cultural diversity but they are based on assumptions that represent traditional dyadic, face-to-face communication, rather than communication in online social networks. Unlike in models of face-to-face communication, where (...) actors update their cultural traits after being influenced by one of their network contacts, communication in online social networks is often characterized by a one-to-many structure, in that users emit messages directly to a large number of network contacts. Using analytical tools and agent-based simulation, we show that this seemingly subtle difference can have profound implications for emergent dynamics of cultural dissemination. In particular, we show that within the framework of our model online communication fosters cultural diversity to a larger degree than offline communication and it increases chances that individuals and subgroups become culturally isolated from their network contacts. (shrink)

Varying degrees of symmetry can exist in a social network's connections. Some early online social networks (OSNs) were predicated on symmetrical connections, such as Facebook 'friendships' where both actors in a 'friendship' have an equal and reciprocal connection. Newer platforms -- Twitter, Instagram, and Facebook's 'Pages' inclusive -- are counterexamples of this, where 'following' another actor (friend, celebrity, business) does not guarantee a reciprocal exchange from the other. -/- This paper argues that the basic asymmetric connections (...) in an OSN leads to emergent asymmetrical behaviour in the OSN's overall influence and connectivity, amongst others. This paper will then draw on empirical examples from popular sites (and prior network research) to illustrate how asymmetric connections can render individuals 'voiceless'. -/- The crux of this paper is an argument from the existentialist viewpoint on how the above asymmetric network properties lead to Sartrean bad faith (Sartre, 1943). Instead of genuine interpersonal connection, one finds varying degrees of pressure to assume the Sartrean 'in-itself' (the en soi) mode-of-being, irregardless of the magnitude of 'followers' one has. -/- Finally, this paper poses an open question: what other philosophical issues does this inherent asymmetry in modern social networking give rise to? (shrink)

A large amount of data is maintained in every Social networking sites.The total data constantly gathered on these sites make it difficult for methods like use of field agents, clipping services and ad-hoc research to maintain social media data. This paper discusses the previous research on sentiment analysis.

Online social networks have rapidly become a prominent and widely used service, offering a wealth of personal and sensitive information with significant security and privacy implications. Hence, OSNs are also an important—and popular—subject for research. To perform research based on real-life evidence, however, researchers may need to access OSN data, such as texts and files uploaded by users and connections among users. This raises significant ethical problems. Currently, there are no clear ethical guidelines, and researchers may end (...) up performing ethically questionable research, sometimes even when more ethical research alternatives exist. For example, several studies have employed “fake identities” to collect data from OSNs, but fake identities may be used for attacks and are considered a security issue. Is it legitimate to use fake identities for studying OSNs or for collecting OSN data for research? We present a taxonomy of the ethical challenges facing researchers of OSNs and compare different approaches. We demonstrate how ethical considerations have been taken into account in previous studies that used fake identities. In addition, several possible approaches are offered to reduce or avoid ethical misconducts. We hope this work will stimulate the development and use of ethical practices and methods in the research of online social networks. (shrink)

The AMA Council on Ethical and Judicial Affairs (CEJA) has written a position paper on how social medical use challenges medical professionalism. The report offers persuasive ethical and practical guidelines for nonclinical internet use, specifically for social networking.This commentary provides a framework from which to apply these guidelines, but adds that there may be important situations in which physicians are not able to act in accordance. The guidelines call for professional reporting of questionable online portrayals or behaviors, (...) but this commentary argues that this may be not only cumbersome to implement, but may violate aspects of constitutional rights. While online social networking may in many ways be a new application of old challenges, there may be other aspects that require novel approaches to medical professionalism. (shrink)

Driven by privacy-related fears, users of Online Social Networks may start to reduce their network activities. This trend can have a negative impact on network sustainability and its business value. Nevertheless, very little is understood about the privacy-related concerns of users and the impact of those concerns on identity performance. To close this gap, we take a systematic view of user privacy concerns on such platforms. Based on insights from focus groups and an empirical study with 210 (...) subjects, we find that (i) Organizational Threats and (ii) Social Threats stemming from the user environment constitute two underlying dimensions of the construct Privacy Concerns in Online Social Networks . Using a Structural Equation Model, we examine the impact of the identified dimensions of concern on the Amount, Honesty, and Conscious Control of individual self-disclosure on these sites. We find that users tend to reduce the Amount of information disclosed as a response to their concerns regarding Organizational Threats. Additionally, users become more conscious about the information they reveal as a result of Social Threats. Network providers may want to develop specific mechanisms to alleviate identified user concerns and thereby ensure network sustainability. (shrink)

The prevailing paradigm in Internet privacy literature, treating privacy within a context merely of rights and violations, is inadequate for studying the Internet as a social realm. Following Goffman on self-presentation and Altman's theorizing of privacy as an optimization between competing pressures for disclosure and withdrawal, the author investigates the mechanisms used by a sample (n = 704) of college students, the vast majority users of Facebook and Myspace, to negotiate boundaries between public and private. Findings show little to (...) no relationship between online privacy concerns and information disclosure on online social network sites. Students manage unwanted audience concerns by adjusting profile visibility and using nicknames but not by restricting the information within the profile. Mechanisms analogous to boundary regulation in physical space, such as walls, locks, and doors, are favored; little adaptation is made to the Internet's key features of persistence, searchability, and cross-indexability. The author also finds significant racial and gender differences. (shrink)

Online social networks captured the attention of the masses by offering attractive means of sharing personal information and developing social relationships. People expose personal information about their lives on OSNs. This may result in undesirable consequences of users’ personal information leakage to an unwanted audience and raises privacy concerns. The issue of privacy has received a significant attention in both the research literature and the mainstream media. In this paper, we present results of an empirical study (...) that measure users’ attitude towards interpersonal privacy concerns in OSNs. The results demonstrated a serious mismatch between privacy concerns of users and their information sharing behavior. In addition, it indicated that strangers are part of user social circles, this makes privacy protection more complicated, and introduce an insider threat, whereas all existing privacy tools allow users to manage the outsider threat. Information and friend segregation strategies are suggested on the basis of user information disclosure and interaction pattern. We conclude that sensitivity of information and frequency of interaction, both, play a vital role in information and friend segregation. (shrink)

Online social networks are highly dynamic and sparse. One of the main problems in analyzing these networks is the problem of predicting the existence of links between users on these networks: the link prediction problem. Many studies have been conducted to predict links using a variety of techniques like the decision tree and the logistic regression approaches. In this work, we will illustrate the use of the rough set theory in predicting links over the Facebook (...) social network based on homophilic features. Other supervised learning algorithms are also employed in our experiments and compared with the rough set classifier, such as naive Bayes, J48 decision tree, support vector machine, logistic regression, and multilayer perceptron neural network. Moreover, we studied the influence of the “common groups” and “common page likes” homophilic features on predicting friendship between users of Facebook, and also studied the effect of using the Jaccard coefficient in measuring the similarity between users’ homophilic attributes compared with using the overlap coefficient. We conducted our experiments on two different datasets obtained from the Facebook online social network, where users in each dataset live within the same geographical region. The results showed that the rough set classifier significantly outperformed the other classifiers in all experiments. The results also demonstrated that the common groups and the common page likes features have a significant influence on predicting the friendship between users of Facebook. Finally, the results revealed that using the overlap coefficient homophilic features provided better results than that of the Jaccard coefficient features. (shrink)

The rapid emergence and exploding usage of online social networking forums, which are frequented by millions, present clinicians with new ethical and professional challenges. Particularly among a younger generation of physicians and patients, the use of online social networking forums has become widespread. In this article, we discuss ethical challenges facing the patient–doctor relationship as a result of the growing use of online social networking forums. We draw upon one heavily used and highly trafficked (...) forum, Facebook, to illustrate the elements of these online environments and the ethical challenges peculiar to their novel form of exchange. Finally, we present guidelines for clinicians to negotiate responsibly and professionally their possible uses of these social forums. (shrink)

The pathogen-prevalence hypothesis postulates that collectivism would be strengthened in the long term in tandem with recurrent attacks of infectious diseases. However, it is unclear whether a one-time pathogen epidemic would elevate collectivism. The outbreak of COVID-19 and the widespread prevalence of online social networks have provided researchers an opportunity to explore this issue. This study sampled and analyzed the posts of 126,165 active users on Weibo, a leading Chinese online social network. It used independent-sample (...) t-tests to examine whether COVID-19 had an impact on Chinese collectivistic value-related behaviors by comparing the usage frequency of personal pronouns, group-related words, and relationship-related words before and after the outbreak. Overall, most collectivist words exhibited a significant upward trend after the outbreak. In turn, this tendency pointed to a rising sense of collectivism. Hence, this study confirmed the pathogen-prevalence hypothesis in real settings, finding that an outbreak of an infectious disease such as COVID-19 could exert an impact on collectivism and may deliver a theoretical basis for psychological protection against the threat of COVID-19. However, further evaluation is required to ascertain whether this trend is universal or culture-specific. (shrink)

Computer and communication technologies created new modes of creating and sharing arts. In this paper, we apply ‘diffusion of innovation’ theory to investigate how artistic content travels in an online social network site called deviantArt, a site designed for sharing user-generated artworks. We first define what innovation corresponds to in such a context, and then discuss how it can be measured with the help of network, image and text analysis methods. We propose to use user-shared resources as relatively (...) easy targets of tracking innovation. (shrink)

The purpose of this article is to explore how and why younger Internet users of social networking platforms such as MySpace and Facebook maintain connections with those who have died or been killed. This article, therefore, examines the blurring or blending of interpersonal communication and mass communication via the web as what once was very private communication—messages to the deceased—becomes very public. The findings suggest that these online social networks enable or empower individuals marginalized by more (...) traditional forms of memorialization. (shrink)

Online social networking has deeply penetrated university campuses, influencing multiple aspects of student life. Standing from a pedagogical perspective, this study investigates how university students’ OSN engagement affect their learning outcomes. Drawn upon social learning theory, this study proposes that OSN engagement help university students’ establishing the self-efficacy belief, achieving social acceptance and acculturation with environment, and these attributions further lead them to attain positive learning outcomes which are shaped by self-esteem development, satisfaction with university life, (...) and the grade point average based performance. Results from a survey accompanied by focus group discussions support these embedded self-conceptualization and social learning in OSN. This study contributes to the extant research on OSN for learning by highlighting the role of OSN for the whole person development, especially the students’ self-conceptulization and psychological well-beings. The revealed mediating mechanisms also adds values to social learning theory and imply the design foci of e-learning activities and applications. (shrink)

The impact of Online Social Networks on human lives is foreseen to be very large with unprecedented amount of data and users. OSN users share their ideas, photos, daily life events, feelings and news. Since OSNs’ security and privacy challenges are more potential than ever before, it is necessary to enhance the protection and filtering approaches of OSNs contents. This paper explores OSNs’ threats and challenges, and categorize them into: account-based, URL-based and content-based threats. In addition, we (...) analyze the existing protection methods and highlight their limitations and weaknesses. Based on that, we propose a comprehensive, user-level, proactive and real-time OSNs’ protection system, called Hybrid Real-time Social Networks Protector. HRSP has three components; a user-level security protocol and two classification models. The protocol defines a structure for OSN’s cryptographic services, including encryption, access control and users’ authentication. The classification models employ machine learning, black lists, white lists and users’ feedback, in order to classify URLs into: Benign, Risk and Inappropriate classes, and contents into: Benign, Hate speech and Inappropriate classes. We constructed two data sets of 150,000 URLs and 22,000 tweets to build and test the two classification models. Results show an overall accuracy of 93.2% for the URL model and 84.4% for the content model, while the protocol implementation produces compatible size and time overhead. The components of HRSP are integrated and have compatible design with OSN platforms. (shrink)

The rapid development of online social media has significantly promoted product diffusion in online social networks. However, prior studies focusing on irrational behavior, such as overconfidence, in PDOSN are scarce. To investigate the effect of overconfidence on PDOSN, this study combined overconfidence and an evolutionary game to conduct a multiagent simulation on PDOSN. This combined method provided an effective reference to examine product diffusion in the context of irrational behavior. After careful consideration, this study identified (...) three overconfidence scenarios, benefit, cost, and benefit and cost overconfidence, developed a multiagent simulation model for PDOSN using various overconfidence scenarios, and conducted a comparison with real-world cases to validate the model’s feasibility. The findings indicated that adoption benefits and betrayal penalties had a positive effect on the results in all models, while adoption costs had the opposite effect. When benefit and cost overconfidence occurred simultaneously, benefit overconfidence offset the negative effect of cost overconfidence. Moderate connectivity, a large number of core nodes, and high reconnection probability fully promoted product diffusion. Benefit overconfidence and cost overconfidence had a significant impact on the results in different networks. As such, this study combined psychological theory with simulation methods, providing insights for future research on product diffusion. (shrink)

Computer and communication technologies created new modes of creating and sharing arts. In this paper, we apply ‘diffusion of innovation’ theory to investigate how artistic content travels in an online social network site called deviantArt, a site designed for sharing user-generated artworks. We first define what innovation corresponds to in such a context, and then discuss how it can be measured with the help of network, image and text analysis methods. We propose to use user-shared resources as relatively (...) easy targets of tracking innovation. (shrink)

In response to the lack of research on the online social network structure of athletes, elements of research on the online social network structure of athletes were constructed based on the whole network perspective and through the study of the characteristics of the whole online social network structure of athletes, in order to provide reference for the physical and mental health development of athletes from a new perspective. Data were collected through questionnaires, and several (...) software programs were used to preprocess and analyse the collected data. Through the analysis of the online whole network structure, it was found that the network density of the online support network was generally greater than that of the online discussion network, and athletes still showed stronger practical support demands and behaved more rationally in the process of training and learning life, while from the perspective of the relationship structure, the athletes’ family and classmates’ online support is weaker than that in previous studies; in terms of the whole network, strong relationships still dominate in this population, while attention should be paid to the impact of weak relationships. (shrink)

With the fast development of web 2.0, information generation and propagation among online users become deeply interweaved. How to effectively and immediately discover the new emerging topic and further how to uncover its evolution law are still wide open and urgently needed by both research and practical fields. This paper proposed a novel early emerging topic detection and its evolution law identification framework based on dynamic community detection method on time-evolving and scalable heterogeneous social networks. The framework (...) is composed of three major steps. Firstly, a time-evolving and scalable complex network denoted as KeyGraph is built up by deeply analyzing the text features of all kinds of data crawled from heterogeneous online social network platforms; secondly, a novel dynamic community detection method is proposed by which the new emerging topic is detected on the modeled time-evolving and scalable KeyGraph network; thirdly, a unified directional topic propagation network modeled by a great number of short texts including microblogs and news titles is set up, and the topic evolution law of the previously detected early emerging topic is identified by fully utilizing local network variations and modularity optimization of the “time-evolving” and directional topic propagation network. Our method is proved to yield preferable results on both a huge amount of computer-generated test data and a great amount of real online network data crawled from mainstream heterogeneous social networks. (shrink)

Online interactions have become major channels for people to obtain and disseminate information during the new normal of COVID-19, which can also be a primary platform for rumor propagation. There are many complex psychological reasons for spreading rumors, but previous studies have not fully analyzed this problem from the perspective of the interaction between official institutions and influential users. The purpose of this study is to determine optimal strategies for official institutions considering the impact of two different influential user (...) types by designing two game-theoretic models, namely “Rumor Clarification and Interaction Model” and “Rumor Verification and Interaction Model,” which can, respectively decide whether to clarify and when to clarify. The results of this article show that clarification strategies can be decided according to the characteristics of rumors and the influential user’s reactions. Meanwhile, publishing verified information prevents trolls’ “loophole advantages” and prevents reputed personalities from spreading false information due to the vague authenticity of rumors. Results also show that the verification strategy is limited by cost, period, and verification index. (shrink)

There is a growing concern about the effects that the relationship between the activity of society in the physical world and in the digital world could have. In this study, we address this question in a context of social crisis. Our quantitative and qualitative analysis of the data associated with the critical process suggests a deep and nontrivial relationship between both worlds. Perhaps the most important result refers to the leading role of language, its meaning, and symbolism in the (...) development of social transformation processes linked to the complexity of the social system and its adaptive nature. (shrink)

Purpose: This study explores social networkers' interest in and attitudes toward personal genome testing (PGT), focusing on expectations related to the clinical integration of PGT results. Methods: An online survey of 1,087 social networking users was conducted to assess 1) use and interest in PGT; 2) attitudes toward PGT companies and test results; and 3) expectations for the clinical integration of PGT. Descriptive statistics were calculated to summarize respondents' characteristics and responses. Results: Six percent of respondents have (...) used PGT, 64% would consider using PGT, and 30% would not use PGT. Of those who would consider using PGT, 74% report they would use it to gain knowledge about disease in their family. 34% of all respondents consider the information obtained from PGT to be a medical diagnosis. 78% of those who would consider PGT would ask their physician for help interpreting test results, and 61% of all respondents believe physicians have a professional obligation to help individuals interpret PGT results. Conclusion: Respondents express interest in using PGT services, primarily for purposes related to their medical care and expect physicians to help interpret PGT results. Physicians should therefore be prepared for patient demands for information and counsel on the basis of PGT results. (shrink)

In today’s social online world there is a variety of interaction and participatory possibilities which enable web users to actively produce content themselves. This user-generated content is omnipresent in the web and there is growing evidence that it is used to select or evaluate professionally created online information. The present study investigated how this surrounding content affects online advertising by drawing from social influence theory. Specifically, it was assumed that web users sharing an interpersonal relationship (...) and/or a group membership with authors of user-generated content which appears next to advertising on the web page are more strongly influenced in their response to the advertising than unrelated users. These assumptions were tested in a 2 × 2 between-subject experiment with 118 students who were exposed to four different Facebook profiles that differed in terms of interpersonal connection to the source and collective connection to the source. The results show a significant impact in the case of collective influence, but not in the case of interpersonal influence. The underlying mechanisms of this effect and implications of the results for online advertising are discussed. (shrink)

Online social networks (OSNs) have gained enormous popularity in recent years. Hundreds of millions of social network users reveal great amounts of personal information in the Web 2.0 environment that is largely devoid of security standards and practices. The central question in this article is why so many social network users are being so trusting. The focus is on theory-building on trust as a critical issue in OSNs. A theoretical framework is developed, which facilitates a (...) multi-level and multi-dimensional analysis of research problems related to trust in OSNs. First, the structural and relational underpinnings of trust in OSNs are investigated from a governance perspective that integrates concepts of social network theory, social capital and the role of value in relational exchanges. Subsequently, the focus moves to the individual's decision to trust and to processes through which trust actually emerges. Different types and sources of trust from the trust literature and their importance for trust-related decisions and behaviours in OSNs are discussed. Several research propositions are presented, which contribute to a better understanding of the role of trust and the relevance of facets of trust and social capital in OSNs. (shrink)

This paper proposes a conceptual framework for evaluating how social networking platforms fare as epistemic environments for human users. I begin by proposing a situated concept of epistemic agency as fundamental for evaluating epistemic environments. Next, I show that algorithmic personalisation of information makes social networking platforms problematic for users’ epistemic agency because these platforms do not allow users to adapt their behaviour sufficiently. Using the tracing principle inspired by the ethics of self-driving cars, I operationalise it here (...) and identify three requirements that automated epistemic environments need to fulfil: (a) the users need to be afforded a range of skilled actions; (b) users need to be sensitive to the possibility to use their skills; (c) the habits built when adapting to the platform should not undermine the user’s pre-existing skills. I then argue that these requirements are almost impossible to fulfil all at the same time on current SN platforms; yet nevertheless, we need to pay attention to these whenever we evaluate an epistemic environment with automatic features. Finally, as an illustration, I show how Twitter, a popular social networking platform, will fare regarding these requirements. (shrink)

Although entrepreneurial intention has been widely studied using cognitive models, we still lack entrepreneurial vocation and, therefore, lack disruptive innovations. Entrepreneurship scholars have some understanding of the reasons underlying this weakness, although there is much room for improvement in our learning concerning how to promote entrepreneurship among university students, especially in the transformed context of digital technologies. This paper focuses on the early stages of start-up, and in particular seeks to evaluate what role social and psychological factors play in (...) the development of entrepreneurial intentions. Drawing on network theory, we consider the impact of social networks on entrepreneurial intention. Specifically, we analyze the influence of two types of social networks: face-to-face and online social networks, with the latter proving especially important in digital transformations. In addition, based on affective congruency theory, we relate affect with entrepreneurial intention. Particularly, we evaluate the influence of positive and negative dispositional affectivity on the formation of entrepreneurial intentions. Finally, since affect and emotions can also be related with social relationships, we analyze whether dispositional affectivities influence entrepreneurial intention through the mediation effect of social networks. Using structural equation modeling, we confirm the impact of both online and face-to-face social networks, as well as positive dispositional affectivity on entrepreneurial intention for 589 higher education students in Spain. However, negative dispositional affectivity is not seen to influence entrepreneurial intention. Furthermore, both face-to-face and online social networks are influenced by positive dispositional affectivity. Moreover, these two types of networks can even partially mediate the relationship between positive dispositional affectivity and entrepreneurial intention. Positive dispositional affectivity can thus influence entrepreneurial intention in two different ways: directly and indirectly through both face-to-face and online social networks. This study provides further insights and adds to the literature on affect, social networks, and entrepreneurial intention. From a broader perspective, we also contribute to the literature on disruptive innovations by explaining how the development of entrepreneurial intentions would have positive consequences for university students vis-à-vis achieving these disruptive innovations. (shrink)

Topics in Cognitive Science, Volume 14, Issue 1, Page 143-162, January 2022.

For theorists interested in screen cultures and the digital economy, looking beyond Facebook and YouTube prompts a more refined conceptualization of participation and monetization on social networks. This paper examines YY as representative of Chinese platforms that monetize spectacles of social inequality. I first discuss why these financially successful platforms have eluded the attention of media and cultural critics, and then explain how these social network platforms blend subversive texting with streaming through a format called ‘bullet (...) screen’. This format collapses social inequality into a spectacle of money flowing and vanishing on screen. This investigation contributes to the theoretical discussion of mixed-semiotics, reorients several Marxian neologisms and explains what texting means on screen in both semiotic and economic terms. (shrink)

Young adolescents’ online bullying behavior has raised a significant amount of academic attention. Nevertheless, little is known about the social context in which such negative actions occur. The present paper addresses this issue and examines how the patterns of traditional bullying and cyberbullying are related, and how electronic forms of bullying can be linked to the social context at school. To address these questions, social network analysis was applied to examine the networks of social (...) interactions and bullying among an entire grade of 1,458 thirteen- to fourteen-year-old pupils. The results show that cyberbullying is an extension of traditional bullying as victims often face the same perpetrators offline and online, there is evidence of mutual cyberbullying among youngsters, and cyberbullying is more likely to occur in same-gender and same-class students. The implications for future research and prevention of cyberbullying are discussed. (shrink)

This article explores the norms that govern regular users’ acts of sharing content on social networking sites. Many debates on how to counteract misinformation on Social Networking Sites focus on the epistemic norms of testimony, implicitly assuming that the users’ acts of sharing should fall under the same norms as those for posting original content. I challenge this assumption by proposing a non-epistemic interpretation of (mis) information sharing on social networking sites which I construe as infrastructures for (...) forms of life found online. Misinformation sharing belongs more in the realm of rumour spreading and gossiping rather than in the information-giving language games. However, the norms for sharing cannot be fixed in advance, as these emerge at the interaction between the platforms’ explicit rules, local norms established by user practices, and a meta-norm of sociality. This unpredictability does not leave us with a normative void as an important user responsibility still remains, namely that of making the context of the sharing gesture explicit. If users will clarify how their gestures of sharing are meant to be interpreted by others, they will implicitly assume responsibility for possible misunderstandings based on omissions, and the harms of shared misinformation can be diminished. (shrink)

Directive 95/46/EC and implementing legislation define the respective obligations and liabilities of the different actors that may be involved in a personal data processing operation. There are certain exceptions to the scope of these regulations, among which processing which is carried out by natural persons in the course of activities that may be considered ‘purely personal’. The purpose of this article is to investigate the liability of users of social network sites under data protection and to assess the extent (...) to which the current data protection framework can sufficiently accommodate the new realities of web 2.0 and social networking applications. (shrink)

Social scientists increasingly use social media data to illuminate long-standing substantive questions in social science research. However, a key challenge of analyzing such data is their lower level of individual detail compared to highly detailed survey data. This limits the scope of substantive questions that can be addressed with these data. In this study, we provide a method to upgrade individual detail in terms of ethnicity in data gathered from social media via the use of register (...) data. Our research aim is twofold: first, we predict the most likely value of ethnicity, given one's first name, and second, we show how one can test hypotheses with the predicted values for ethnicity as an independent variable while simultaneously accounting for the uncertainty in these predictions. We apply our method to social network data collected from Facebook. We illustrate our approach and provide an example of hypothesis testing using our procedure, i.e., estimating the relation between predicted network ethnic homogeneity on Facebook and trust in institutions. In a comparison of our method with two other methods, we find that our method provides the most conservative tests of hypotheses. We discuss the promise of our approach and pinpoint future research directions. (shrink)

Social networking sites (SNS) are of increasing importance for adolescents’ social life. As adolescents are prone to display risky health behavior in the offline world, it is likely that they use their online profiles and communications to report on unhealthy behaviors, too. This may in turn enhance the perceived attractiveness of risky behavior within the adolescent cohort. Drawing on the insights of impression management theory, we argue in this article that adolescents use a variety of impression management (...) tactics in their SNS profiles and communications. Following this assumption, our empirical analysis of 5851 Facebook posts (profile texts, comments, photographs, etc.) shows that the users tend to associate risky health behaviors with positive attributes, such as accomplishment or sociability, to present themselves in an attractive way to their online peer audience. We argue that this raises two ethical issues relevant to health promotion: Adolescents’ health may be challenged by interaction on SNS, as their engagement in online impression management blanks out any health problems or critical assessments of risky health behavior. At the same time, the semi-public nature of the communication arena re-enforces the tendency to value unhealthy behavior as more attractive than in offline social interactions. (shrink)

For five individuals, a social network was constructed from a series of his or her dreams. Three important network measures were calculated for each network: transitivity, assortativity, and giant component proportion. These were monotonically related; over the five networks as transitivity increased, assortativity increased and giant component proportion decreased. The relations indicate that characters appear in dreams systematically. Systematicity likely arises from the dreamer's memory of people and their relations, which is from the dreamer's cognitive social network. (...) But the dream social network is not a copy of the cognitive social network. Waking life social networks tend to have positive assortativity; that is, people tend to be connected to others with similar connectivity. Instead, in our sample of dream social networks assortativity is more often negative or near 0, as in online social networks. We show that if characters appear via a random walk, negative assortativity can result, particularly if the random walk is biased as suggested by remote associations. (shrink)

The combination of decreased genotyping costs and prolific social media use is fueling a personal genetic testing industry in which consumers purchase and interact with genetic risk information online. Consumers and their genetic risk profiles are protected in some respects by the 2008 federal Genetic Information Nondiscrimination Act (GINA), which forbids the discriminatory use of genetic information by employers and health insurers; however, practical and technical limitations undermine its enforceability, given the everyday practices of online social (...) networking and its impact on the workplace. In the Web 2.0 era, employers in most states can legally search about job candidates and employees online, probing social networking sites for personal information that might bear on hiring and employment decisions. We examine GINA's protections for online sharing of genetic information as well as its limitations, and propose policy recommendations to address current gaps that leave employees? genetic information vulnerable in a Web-based world. (shrink)

Sir, The recent discussion by Elovici et al. on “Ethical Considerations when Employing Fake Identities in Online Social Networks for Research ” is very interesting . Elovici et al. raised an important question “Is it legitimate to use fake identities for studying OSNs or for collecting OSN data for research? ” In fact, “fake” is not a reality and this might be problematic. In medicine, “fake” is not acceptable. This is not the same as “placebo”, which is (...) a standard method for management of the disorder of the patients. Also, it is not the “blinding”, which is the standard clinical trial technique. As a worker in the field of medical journalism, “fake” might be classified as a “falsification”. According to the standard international medical journal, the “fake” data is totally not acceptable. However, focusing on the “fake identities”, if it is used in researching, it might deviate the research result. This has to be disclose .. (shrink)

This paper presents some results of a case study of the usage of the social networking platform studiVZ by students in Salzburg, Austria. The topic is framed by the context of electronic surveillance. An online survey that was based on questionnaire that consisted of 35 (single and multiple) choice questions, 3 open-ended questions, and 5 interval-scaled questions, was carried out (N = 674). The knowledge that students have in general was assessed with by calculating a surveillance knowledge index, (...) the critical awareness towards surveillance by calculating a surveillance critique index. Knowledge about studiVZ as well as information behaviour on the platform were analyzed and related to the surveillance parameters. The results show that public information and discussion about surveillance and social networking platforms is important for activating critical information behaviour. In the case of studiVZ, a change of the terms of use in 2008 that brought about the possibility of targeted personalized advertising, was the subject of public discussions that influenced students’ knowledge and information behaviour. (shrink)