scholarly journals Academic Social Networking Sites are Smaller, Denser Networks Conducive to Formal Identity Management, Whereas Academic Twitter is Larger, More Diffuse, and Affords More Space for Novel Connections

2020 ◽  
Vol 15 (1) ◽  
pp. 226-228
Author(s):  
Scott Goldstein
Keyword(s):  
Network Analysis ◽  
Social Networking ◽  
Online Social Networks ◽  
Social Networking Sites ◽  
Information Science ◽  
Identity Management ◽  
Social Networking Site ◽  
Professional Relationships ◽  
Structured Interviews ◽  
Ego Networks

A Review of: Jordan, K. (2019). Separating and merging professional and personal selves online: The structure and processes that shape academics’ ego-networks on academic social networking sites and Twitter. Journal of the Association for Information Science and Technology, 70(8), 830-842. https://doi.org/10.1002/asi.24170 Abstract Objective – To examine the structure of academics’ online social networks and how academics understand and interpret them. Design – Mixed methods consisting of network analysis and semi-structured interviews. Setting – Academics based in the United Kingdom. Subjects – 55 U.K.-based academics who use an academic social networking site and Twitter, of whom 18 were interviewed. Methods – For each subject, ego-networks were collected from Twitter and either ResearchGate or Academia.edu. Twitter data were collected primarily via the Twitter API, and the social networking site data were collected either manually or using a commercial web scraping program. Edge tables were created in Microsoft Excel spreadsheets and imported into Gephi for analysis and visualization. A purposive subsample of subjects was interviewed via Skype using a semi-structured format intended to illuminate further the network analysis findings. Transcripts were deductively coded using a grounded theory-based approach. Main Results – Network analysis replicated earlier findings in the literature. A large number of academics have relatively few connections to others in the network, while a small number have relatively many connections. In terms of reciprocity (the proportion of mutual ties or pairings out of all possible pairings that could exist in the network), arts and humanities disciplines were significantly more reciprocal. Communities (measured using the modularity algorithm, which looks at the density of links within and between different subnetworks) are more frequently defined by institutions and research interests on academic social networking sites and by research interests and personal interests on Twitter. The overall picture was reinforced by the qualitative analysis. According to interview participants, academic social networking sites reflect pre-existing professional relationships and do not foreground social interaction, serving instead as a kind of virtual CV. By contrast, Twitter is analogized to a conference coffee break, where users can form new connections. Conclusion – Academic social networking sites exhibit networks that are smaller, denser, more clustered around discrete modularity classes, and more reciprocal. Twitter networks are larger and more diffuse, which is more conducive to fostering novel connections. The author makes suggestions for how academic social networking sites could encourage network building and rethink how academic reputation is measured.

Examining the dilution of the consumer-brand relationship on Facebook: the saturation issue

2017 ◽  
Vol 20 (3) ◽  
pp. 335-353 ◽  
Author(s):  
Zahy Ramadan
Keyword(s):  
Social Networking ◽  
Social Networking Sites ◽  
Information Quality ◽  
Information Overload ◽  
Social Networking Site ◽  
System Quality ◽  
Structured Interviews ◽  
Content Type ◽  
Positive Side ◽  
Brand Relationship

Purpose Brands have been progressively using social networking sites, namely, Facebook, as part of their strategy to engage their consumers and ultimately build long-term relationships with them. Nonetheless, with the overuse of “engagement ads” by brands, saturation related to information overload is expected to be reached leading to the dilution of the consumer–brand relationship. The purpose of this paper is to fill a gap in the literature which has predominantly focused on the positive side of social networking sites, and hence still lacks a thorough understanding of the potential risks brands face when using Facebook. Accordingly, this research examines the different risks brands would be facing from saturated consumers on social networking sites such as Facebook. Design/methodology/approach A qualitative study was conducted, with a total of 40 respondents using face-to-face semi-structured interviews over two stages. While the first stage of the study focused on examining the saturation risk and its potential negative effects, the second one explored these risks specifically on the consumer–brand relationship on Facebook. The interviews were recorded, transcribed and then coded for analysis using NVivo 8. Findings Brands are overloading their followers with passively endorsed brand messages, which are negatively affecting consumers’ experience on Facebook, as well as the relationship with these brands. This overall dilution of the consumer–brand relationship on Facebook was hence found to be affecting interaction, similarity with friends, the system quality of the social networking site, as well as information quality. Furthermore, this dilution was found to be affecting brand likability, brand trust and brand association. Originality/value The negative implications are still scarcely examined in the literature where social media engagement is predominantly discussed through a positive lens. Hence, this study has the peculiarity of discussing the risks that companies would face with Facebook’s engagement model along with their implications on the consumer-brand relationship.

scholarly journals A Trigger or a Muffler? - Examining the Dynamics of Crosscutting Exposure and Political Expression in Online Social Media

2013 ◽  
Vol 5 (1) ◽  
pp. 16-27
Author(s):  
Soo Young Bae
Keyword(s):  
Social Media ◽  
Social Networking ◽  
Online Social Networks ◽  
Social Networking Sites ◽  
Social Networking Site ◽  
Online Social Networking ◽  
Political Expression ◽  
Online Social Media ◽  
Candidate Support

This study explores the potential of online social media to serve as a sphere for political discourse and investigates the extent to which everyday uses of online social networking sites can expose citizens to politically diverse viewpoints.  In addition, this study asks whether such crosscutting exposure in online social networks will act as a trigger or a muffler for political expression – that is, whether exposure political difference will stimulate or discourage political discussions.  With analyses of a sample of online social networking site users in the context of the 2012 presidential election in South Korea, this study explicates the link between crosscutting exposure and citizens’ political expressions in social media.  Results reveal that contrary to the predictions in previous literature, exposure to politically incongruent viewpoints in online social networking sites does not seem to undermine users’ expressive behaviors but instead positively contribute to political expression.  In addition, this study shows the significant role of citizens’ perceptions of candidate support in their own networks, and illustrates that the dynamics of political expression differ significantly depending on the users’ age.

Social Networking among Library and Information Science Undergraduate Students

2015 ◽  
Vol 11 (3) ◽  
pp. 90-99 ◽  
Author(s):  
Onome Norah Alakpodia
Keyword(s):  
Social Networking ◽  
Undergraduate Students ◽  
Social Networking Sites ◽  
Information Science ◽  
Social Networking Site ◽  
Library And Information Science ◽  
State University ◽  
Chi Square ◽  
Significant Difference ◽  
Almost All

The purpose of this study was to examine social networking use among Library and Information Science students of the Delta State University, Abraka. In this study, students completed a questionnaire which assessed their familiarity with social networking sites, the purpose for which they use social networking site and their most preferred sites to use. Furthermore the study tested two hypotheses. The collected data were analyzed using descriptive statistics, t-test and chi square tests of significance. Results indicated that almost all of the sampled students were familiar with social networking and their most used site is Facebook. Findings also revealed that there is no significant difference in the usage of social networking sites by male and female LIS students and that there is significant relationship between the age of the students and social networking sites that they use.

A Methodology to Handle Heterogeneous Data Generated in Online Social Networks

2020 ◽  
Vol 17 (9) ◽  
pp. 4098-4102
Author(s):  
K. Sailaja Kumar ◽  
D. Evangelin Geetha ◽  
Pratap Rudra Sahoo
Keyword(s):  
Social Networking ◽  
Sentiment Analysis ◽  
Online Social Networks ◽  
Social Networking Sites ◽  
Heterogeneous Data ◽  
Social Networking Site ◽  
Stream Data ◽  
Text Data ◽  
Research Challenge ◽  
Python Programming

Analyzing the heterogeneous data generated by social networking sites is a research challenge. Twitter is a massive social networking site. In this paper, for processing the heterogeneous data, a methodology is devised, which helps in categorizing the data obtained from Twitter into different directories and understanding the text data explicitly. The methodology is implemented using Python programming language. Python’s tweepy package is used to download the Twitter stream data which includes images, videos and text data. Python’s Aylien API is used for analyzing the Twitter text data. Using this API, sentiment analysis report is generated. Using Python’s matplotlib package, a pie chart is generated to visualize the sentiment analysis results. Further an algorithm is proposed for sentiment analysis, which not only categorizes the tweets into positive, negative and neutral (as Aylien API does), but also categorizes the tweets into strongly and weakly, positive and negative based on the polarity and subjectivity. Django platform and Python’s TextBlob package are used for implementing this algorithm. For this experiment, data is collected from Twitter using the hash tags related to different events/topics like IPL2018, World Cup2018, Modi, and Delete Facebook etc. during the period Monday Jan 22, 2018 to Monday May 28, 2018. Moreover, the data is collected and processed using Python TextBlob. Also conducted the Sentiment analysis on text data using TextBlob and visual reports are generated using Google chart. The results obtained from both the above-mentioned approaches are compared and it is observed that the proposed algorithm gives better sentiment analysis of the tweets.

scholarly journals An Exploration into the Impact of Social Networking Site (SNS) Use on Body Image and Eating Behavior of Physically Active Men

2020 ◽  
pp. 106082652091326
Author(s):  
Orla Flannery ◽  
Kerrie Harris ◽  
Ursula Anne Kenny
Keyword(s):  
Body Image ◽  
Social Networking ◽  
Eating Behavior ◽  
Social Networking Sites ◽  
Social Networking Site ◽  
Future Research ◽  
Structured Interviews ◽  
Physically Active ◽  
Increased Risk ◽  
The Impact

The rapid proliferation of social networking sites (SNSs) has transformed the way people now socialize and communicate. SNSs have been recognized to contribute to body image (BI) dissatisfaction and disordered eating behavior (EB). Few qualitative studies have explored this issue in men. The aim of the current study was to investigate male SNS use and possible impacts on BI and EB. One-to-one semi-structured interviews were conducted with eight men in the United Kingdom. Interviews aimed to examine men’s views on the potential impact of SNSs on BI and EB. Data were thematically analyzed. Findings suggested that SNSs may be a useful nutrition idea tool and motivational platform for men to improve their diet and exercise uptake. However, results also indicated that SNS use may contribute to BI dissatisfaction and increased risk of disorder. Future research may identify risk factors of SNS use, male BI concerns, and eating pathology across the lifespan.

Social Learning Sites?

2011 ◽  
pp. 249-268
Author(s):  
Mathias Decuypere ◽  
Steven Bruneel
Keyword(s):  
Social Networking ◽  
Social Networking Sites ◽  
Social Networking Site ◽  
Faculty Members ◽  
Structured Interviews ◽  
Privacy Concerns ◽  
Sharp Distinction ◽  
The Social ◽  
Willingness To Adopt ◽  
Academic Year

Social networking sites are extremely popular nowadays – especially amongst students – and are increasingly the subjects of educational research. But there is a sparse research base on students’ willingness to adopt social networking sites in their education. In this chapter we investigate to what extent Facebook is used as an educational tool. By means of semi-structured interviews, we asked students why they use Facebook and whether they allow faculty members into their personal sites, or not. During the period of one academic year 2009-2010, 15 students of different bachelor programs in a Flemish University were interviewed several times. The results demonstrate that students draw a sharp distinction between the ways they use Facebook, and why they do so. Furthermore, they barely use the social networking site for educational purposes. Consequently, students are not inclined to allow faculty members presence (as ‘friends’ on Facebook). These results are interpreted in terms of privacy concerns, and we conclude this chapter with some critical reflections concerning the current research about the effectiveness and the educational possibilities of social networking sites.

scholarly journals Dynamic Visualization of Time-Based Changes to Data Generated by Reddit.com: The Real Time Conversation Project

2016 ◽  
Vol 13 (4) ◽  
Author(s):  
Daniel Wang ◽  
Andy Luse ◽  
Jim Burkman
Keyword(s):  
Social Network ◽  
Network Analysis ◽  
Social Networking ◽  
Real Time ◽  
Social Networking Sites ◽  
Social Networking Site ◽  
Dynamic Visualization ◽  
The Real ◽  
Related Data ◽  
Visualization Techniques

With the increased amount of data generated by social networking sites there is also increased difficulty in the analysis of this data, including time-based changes, which can provide unique insights in social network analysis. Information visualization is a vital tool in assisting social scientists with analysis of large quantities of data; however, the gathering, formatting, and visualizing of time-related data from social networking sites still remains an obstacle. This research explores the process of gathering time-based data in real time and using dynamic visualization techniques to visualize and analyze time-based changes in data generated by discussions on the social networking site Reddit. The outcome culminates in our deliverable, the Real Time Conversation Project. KEYWORDS: Visualization; Network Analysis; Social Network; Reddit; Gephi

scholarly journals #SocialMedia: Exploring the Relationship of Social Networking Sites on Body Image, Self-Esteem, and Eating Disorders

2017 ◽  
Vol 3 (2) ◽  
pp. 205630511770440 ◽  
Author(s):  
Sara Santarossa ◽  
Sarah J. Woodruff
Keyword(s):  
Body Image ◽  
Eating Disorder ◽  
Social Networking ◽  
Social Networking Sites ◽  
Online Survey ◽  
Self Esteem ◽  
Social Networking Site ◽  
Dependent Relationship ◽  
Relationship Of ◽  
The Relationship

The aim of this study was to investigate whether problematic social networking site (SNS) use (i.e., degree of dependent relationship with SNSs), total SNS time/day, total SNS friends, and specific SNS activities were related to body image (BI), self-esteem (SE), and eating disorder (ED) symptoms/concerns. A sample of young adults ( N = 147) completed an online survey which measured SNS usage, problematic SNS use, BI, SE, and ED symptom/concerns. The findings revealed that females and males spent 4.1 ± 3.9 and 2.9 ± 2.8 hr on SNS, respectively, with the majority of time spent lurking (i.e., looking at another users’ profile but not actually communicating with them). Furthermore, problematic SNS use was found to be related to BI, SE, and ED symptoms/concerns. Moreover, SNS activities, such as lurking and posting comments on others’ profiles, were found to be related to BI, whereas SNS total time was found to be related to ED symptoms/concerns. Overall, this study demonstrates the possible correlational influence of SNSs on BI, SE, and ED symptoms/concerns.

Addiction to Social Networking Sites and User Responses

2021 ◽  
Vol 52 (4) ◽  
pp. 65-91
Author(s):  
Hamed Qahri-Saremi ◽  
Isaac Vaghefi ◽  
Ofir Turel
Keyword(s):  
Social Networking ◽  
Personality Traits ◽  
Survey Data ◽  
Big Five ◽  
Social Networking Sites ◽  
Big Five Personality Traits ◽  
Social Networking Site ◽  
Big Five Personality ◽  
User Behaviors ◽  
Person Centered Approach

Prior studies have primarily used "variable-centered" perspectives to identify factors underlying user responses to social networking site (SNS) addiction, their predictors and outcomes. This paper extends this perspective by taking a person-centered approach to examine (1) the prototypical subpopulations (profiles) of users' extent of SNS addiction and responses to it, (2) how affiliations with these profiles can explain user behaviors toward SNS use, and (3) how personality traits can predict affiliations with these profiles. To this end, we propose a typological theory of SNS addiction and user responses to it via two empirical, personcentered studies. Study 1 draws on survey data from 188 SNS users to develop a typology of users based on the extent of their SNS addiction and their responses to it. It further examines the relations between affiliation with these profiles and users' SNS discontinuance intention, as a typical behavioral response to SNS addiction. Study 2 uses survey data from 284 SNS users to validate the user typology developed in Study 1 and investigate its relations to users' Big Five personality traits. Our findings shed light on a typology of five prototypical profiles of SNS users-cautious, regular, consonant, dissonant, and hooked-who differ in their extent of SNS addiction and their cognitive, emotional, and behavioral responses to it. Our findings also demonstrate how Big Five personality traits can predict user affiliations with these prototypical profiles.

scholarly journals Information disclosure, privacy behaviours, and attitudes regarding employer surveillance of social networking sites

IFLA Journal ◽  
2018 ◽  
Vol 44 (3) ◽  
pp. 203-222
Author(s):  
Deirdre McGuinness ◽  
Anoush Simon
Keyword(s):  
Social Networking ◽  
Social Networking Sites ◽  
Information Disclosure ◽  
Mixed Methods Research ◽  
Research Question ◽  
Social Networking Site ◽  
Protective Measures ◽  
Qualitative Approaches ◽  
Privacy Settings ◽  
System Errors

This paper explores the use of social networking sites amongst the student population of a Welsh university, with particular respect to information-sharing and privacy behaviours, and the potential impact of social networking site checks by employers on future use of these sites. A mixed-methods research design incorporating both quantitative and qualitative approaches was employed to investigate the research question. Results demonstrated that participants were concerned with maintaining privacy online, and were careful with regards to posting and protecting information on social networking sites; however, protective measures were imperfect due to human and system errors. Most respondents were aware of social networking site surveillance, with many noting that this would have an impact on their future use; however, users are active in protecting their privacy through a combination of use of privacy settings and varied levels of information disclosure dependent on context.

Sign in / Sign up

Export Citation Format

Share Document