scholarly journals Recommender system on social networking site with domain specific and sparse data

2021 ◽  
Author(s):  
Chuy Chang Nian
Keyword(s):  
Social Networking ◽  
Recommender System ◽  
Social Networking Sites ◽  
Information Overload ◽  
Learning To Rank ◽  
Hybrid Approach ◽  
Social Networking Site ◽  
Chronological Order ◽  
Domain Specific ◽  
Recommender Algorithm

In many recent domain-specific social networking sites, posts are organized in chronological order, where later posts are shown first at the top, even though they might not be of everyone's interest. As a result, if users want to read posts that interest them, they will have to scroll down and sift through all the posts. To overcome this information overload problem and relieve users' burden, a recommender system is needed in social networking sites. In this thesis we propose a hybrid approach of Recommender System (RS) that combines both Collaborative Filtering and Content-based approach. Although each approach has their own weaknesses independently, by joining them together we can improve the accuracy of our recommendations. From our experiments, we noticed that using learning to rank algorithms in combining each recommender algorithm greatly enhances the system's performance.

scholarly journals Recommender system on social networking site with domain specific and sparse data

2021 ◽  
Author(s):  
Chuy Chang Nian
Keyword(s):  
Social Networking ◽  
Recommender System ◽  
Social Networking Sites ◽  
Information Overload ◽  
Learning To Rank ◽  
Hybrid Approach ◽  
Social Networking Site ◽  
Chronological Order ◽  
Domain Specific ◽  
Recommender Algorithm

In many recent domain-specific social networking sites, posts are organized in chronological order, where later posts are shown first at the top, even though they might not be of everyone's interest. As a result, if users want to read posts that interest them, they will have to scroll down and sift through all the posts. To overcome this information overload problem and relieve users' burden, a recommender system is needed in social networking sites. In this thesis we propose a hybrid approach of Recommender System (RS) that combines both Collaborative Filtering and Content-based approach. Although each approach has their own weaknesses independently, by joining them together we can improve the accuracy of our recommendations. From our experiments, we noticed that using learning to rank algorithms in combining each recommender algorithm greatly enhances the system's performance.

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.

Text in social networking Web sites: A word frequency analysis of Live Spaces

First Monday ◽  
2008 ◽  
Author(s):  
Mike Thelwall
Keyword(s):  
Social Networking ◽  
Word Frequency ◽  
Web Sites ◽  
Social Networking Sites ◽  
English Language ◽  
Social Networking Site ◽  
New Words ◽  
Domain Specific ◽  
Public Figures ◽  
Common Domain

Social networking sites are owned by a wide section of society and seem to dominate Web usage. Despite much research into this phenomenon, little systematic data is available. This article partially fills this gap with a pilot text analysis of one social networking site, Live Spaces. The text in 3,071 English language Live Spaces sites was monitored daily for six months and word frequency statistics calculated and compared with those from the British National Corpus. The results confirmed the existence of common domain-specific words and a marked personal focus. Unexpectedly, however, there was no evidence of an unusual degree of experimentation with new words or word spellings – perhaps this behaviour is limited to other social networking environments. Also surprising was the existence of a marked male gender bias in the most commonly used words. This was probably caused by a significant number of news-related discussions involving predominantly male politicians and other male public figures.

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.

Interactivity between Candidates and Citizens on a Social Networking Site: Effects on Perceptions and Vote Intentions

2015 ◽  
Vol 3 (1) ◽  
pp. 84-96 ◽  
Author(s):  
Paul R. Brewer ◽  
Michael Habegger ◽  
Ruby Harrington ◽  
Lindsay H. Hoffman ◽  
Philip Edward Jones ◽  
...  
Keyword(s):  
Social Networking ◽  
Social Networking Sites ◽  
Site Effects ◽  
Social Networking Site ◽  
Political Candidates ◽  
User Comments

AbstractVoters and political candidates increasingly use social networking sites (SNSs) such as Facebook. This study uses data from an online posttest-only experiment (N = 183) in analyzing how exposure to supportive or challenging user comments on a fictional candidate's Facebook page influenced participants’ perceptions of and willingness to vote for the candidate, as well as whether candidate replies to each type of user comments affected these outcomes. Participants who viewed a page with supportive comments and “likes” reported more favorable perceptions of and greater support for the candidate, relative to participants who viewed a page with challenging comments. Thus, the appearance of interactivity between a candidate and other users on the candidate's Facebook page can shape the responses of those viewing the page. However, exposure to candidate replies to either supportive or challenging comments did not lead to significantly more favorable perceptions or a greater likelihood of voting for the candidate.

User-generated content on the Facebook page of an emergency management agency

2017 ◽  
Vol 41 (4) ◽  
pp. 558-579 ◽  
Author(s):  
Jayan Chirayath Kurian ◽  
Blooma Mohan John
Keyword(s):  
Social Networking ◽  
Emergency Management ◽  
Social Networking Sites ◽  
Disaster Recovery ◽  
Information Dissemination ◽  
Social Networking Site ◽  
User Generated Content ◽  
Content Type ◽  
Management Agency ◽  
Mixed Response

Purpose The purpose of this paper is to explore themes eventuating from the user-generated content posted by users on the Facebook page of an emergency management agency. Design/methodology/approach An information classification framework was used to classify user-generated content posted by users including all of the content posted during a six month period (January to June 2015). The posts were read and analysed thematically to determine the overarching themes evident across the entire collection of user posts. Findings The results of the analysis demonstrate that the key themes that eventuate from the user-generated content posted are “Self-preparedness”, “Emergency signalling solutions”, “Unsurpassable companion”, “Aftermath of an emergency”, and “Gratitude towards emergency management staff”. Major user-generated content identified among these themes are status-update, criticism, recommendation, and request. Research limitations/implications This study contributes to theory on the development of key themes from user-generated content posted by users on a public social networking site. An analysis of user-generated content identified in this study implies that, Facebook is primarily used for information dissemination, coordination and collaboration, and information seeking in the context of emergency management. Users may gain the benefits of identity construction and social provisions, whereas social conflict is a potential detrimental implication. Other user costs include lack of social support by stakeholders, investment in social infrastructure and additional work force required to alleviate the technological, organisational, and social barriers in communication among stakeholders in emergency management. A collective activity system built upon the Activity Theory was used as a lens to describe users’ activity of posting content on the Facebook page of an emergency management agency. Practical implications By analysing the findings, administrators and policy makers of emergency management could identify the extent to which the core principles of disaster recovery are accomplished using public social networking sites. These are achieved in relation to: pre-disaster recovery planning; partnership and inclusiveness; public information messaging; unity of effort; and, psychological recovery to maximise the success of recovery in a disaster. Furthermore, a core principle which evoked a mixed response was timeliness and flexibility. Originality/value Previous studies have examined the role of social networking sites in disastrous situations, but to date there has been very little research into determining themes found in user-generated content posted on the Facebook page of an emergency management agency. Hence, this study addresses the gap in literature by conducting a thematic analysis of user-generated content posted on the Facebook page of the Federal Emergency Management Agency.

scholarly journals Integrated approach to detect spam in social media networks using hybrid features

2019 ◽  
Vol 9 (1) ◽  
pp. 562 ◽  
Author(s):  
Kurapati Subba Reddy ◽  
E. Srinivasa Reddy
Keyword(s):  
Social Networking ◽  
Online Social Networks ◽  
Social Networking Sites ◽  
Hybrid Approach ◽  
Technical Information ◽  
Integrated Approach ◽  
Classification Model ◽  
Hybrid Features ◽  
Detection Techniques ◽  
Internet Users

<p>Online social networking sites are becoming more popular amongst Internet users. The Internet users spend some amount of time on popular social networking sites like Facebook, Twitter and LinkedIn etc. Online social networks are considered to be much useful tool to the society used by Internet lovers to communicate and transmit information. These social networking platforms are useful to share information, opinions and ideas, make new friends, and create new friend groups. Social networking sites provide large amount of technical information to the users. This large amount of information in social networking sites attracts cyber criminals to misuse these sites information. These users create their own accounts and spread vulnerable information to the genuine users. This information may be advertising some product, send some malicious links etc to disturb the natural users on social sites. Spammer detection is a major problem now days in social networking sites. Previous spam detection techniques use different set of features to classify spam and non spam users. In this paper we proposed a hybrid approach which uses content based and user based features for identification of spam on Twitter network. In this hybrid approach we used decision tree induction algorithm and Bayesian network algorithm to construct a classification model. We have analysed the proposed technique on twitter dataset. Our analysis shows that our proposed methodology is better than some other existing techniques.</p>

scholarly journals An Empirical Study of the Relationship Between Social Networking Sites and Students’ Engagement in Higher Education

2018 ◽  
Vol 57 (5) ◽  
pp. 1131-1159 ◽  
Author(s):  
Felix N. Koranteng ◽  
Isaac Wiafe ◽  
Eric Kuada
Keyword(s):  
Higher Education ◽  
Social Networking ◽  
Knowledge Sharing ◽  
Social Networking Sites ◽  
Structural Equation ◽  
Social Capital Theory ◽  
Social Networking Site ◽  
Partial Least Square ◽  
Least Square ◽  
Equation Modeling

This article investigates how students’ online social networking relationships affect knowledge sharing and how the intensity of knowledge sharing enhances students’ engagement. It adopts the social capital theory as the basis for investigation, and the partial least square structural equation modeling was used to examine the hypothesized model. Responses from 586 students in higher education were analyzed. The findings provided empirical evidence which contradicts the argument that students perceive social networking sites as an effective tool for learning. Also, contrary to previous studies which posit that knowledge sharing impacts engagement, it was observed that there is no relationship between the two. However, as social networking sites differ in terms of member behavior norms, it is envisaged that if a similar study is conducted and limited to a specific academically inclined social networking site such as Academia.edu, ResearchGate, Mendeley, and so on, different findings may be observed.

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