Analyzing the Shared Information in Social Networks

2018 ◽  
Author(s):  
Bogdan Aman ◽  
Gabriel Ciobanu
Keyword(s):  
Social Networks ◽  
Shared Information

scholarly journals The impact of Influencer marketing on consumer buying behavior in social networks

2019 ◽  
Author(s):  
Miglė Černikovaitė
Keyword(s):  
Social Networks ◽  
Research Area ◽  
Buying Behavior ◽  
Shared Information ◽  
The Impact ◽  
Conceptual Research ◽  
Practical Implications ◽  
Scientific Topic ◽  
Customer Satisfaction And Loyalty ◽  
Consumer Buying Behavior

Purpose – the purpose of the article is to analyze the impact effect of Influencers marketing on consumer buying behavior by determining which partnership opportunities are most relevant. Research methodology – the theoretical analysis of scientific literature and quantitative statistical analysis of empirical research results. Findings – the research in Lithuania has shown that before making a decision to purchase a product or a service, most respondents are actively seeking information in social networks by reading other costumers feedback. Moreover, the survey reveals that recommendations, comments, shared information about certain brands by Influencers are the most important factors in changing buying behavior. Research limitations – the main limitations of research may be the geographical research area – Lithuania and social networks (Facebook). Practical implications – understanding of Influencers impact on consumer buying behavior. Originality/Value – this scientific topic is rather new. Scientists, like Matsumura, Yamamoto, & Tomozawa (2008), investigated Influencers and Consumer Insights impact in the Blogosphere; Thakur, Srivastava (2015) presented a Conceptual research model of Influencers impact of Customer Satisfaction and Loyalty and etc. However, there is a lack of research investigating the impact of Influencer marketing on consumer buying behavior. This research aims to fill this gap in the Lithuanian case

scholarly journals Decentralized Private Information Sharing Protocol on Social Networks

2020 ◽  
Vol 2020 ◽  
pp. 1-12
Author(s):  
Shu-Chuan Chu ◽  
Lili Chen ◽  
Sachin Kumar ◽  
Saru Kumari ◽  
Joel J. P. C. Rodrigues ◽  
...  
Keyword(s):  
Social Networks ◽  
Social Networking ◽  
Information Sharing ◽  
Mass Distribution ◽  
Private Information ◽  
Social Networking Sites ◽  
Control Protocol ◽  
Shared Information ◽  
Community Finding ◽  
Target Community

Social networks are becoming popular, with people sharing information with their friends on social networking sites. On many of these sites, shared information can be read by all of the friends; however, not all information is suitable for mass distribution and access. Although people can form communities on some sites, this feature is not yet available on all sites. Additionally, it is inconvenient to set receivers for a message when the target community is large. One characteristic of social networks is that people who know each other tend to form densely connected clusters, and connections between clusters are relatively rare. Based on this feature, community-finding algorithms have been proposed to detect communities on social networks. However, it is difficult to apply community-finding algorithms to distributed social networks. In this paper, we propose a distributed privacy control protocol for distributed social networks. By selecting only a small portion of people from a community, our protocol can transmit information to the target community.

scholarly journals Review and Analysis on Filtering of Unwanted Multimedia Messages from Online Social Network User Walls

2021 ◽  
Vol 9 (12) ◽  
pp. 1815-1819
Author(s):  
Martand Ratnam
Keyword(s):  
Social Networks ◽  
Online Social Networks ◽  
Online Social Network ◽  
Information Filtering ◽  
Human Mind ◽  
Sensitive Data ◽  
Public Areas ◽  
Shared Information ◽  
Black List ◽  
Types Of Information

Abstract: When it comes to sharing and exchanging various types of information, online social networks (OSNs) have become an increasingly popular and interactive medium in today's world. People who are connected to blogs and social networks see all of the publicly shared information, and it has a profound effect on the human mind. Messages or comments posted on a wall, a public or private area, may include unnecessary information or sensitive data. Thus, online social networks can benefit from information filtering, which can be used to help users organise messages written in public areas by removing unnecessary words. An information filtering system proposed in this paper may allow OSN users to control the posting and commenting on their walls directly. Every time a user posts a message, the message is intercepted by the filtered wall, which then applies Filtering and Black List Rules to it. The message will appear on the user's wall if it is not filtered or blacklisted. Keywords: Content Based Message Filtering, Demographic Filtering, Collaborative Filtering.

Sharenting, parental mediation and privacy among Spanish children

2021 ◽  
pp. 026732312110121
Author(s):  
Maialen Garmendia ◽  
Gemma Martínez ◽  
Carmelo Garitaonandia
Keyword(s):  
Social Networks ◽  
Parental Mediation ◽  
Negative Consequences ◽  
Online Activity ◽  
Mothers And Fathers ◽  
Shared Information

The purpose of this article is to analyse sharenting, a relatively widespread practice among Spanish mothers and fathers that involves the publication of comments, images or videos of the lives of their children on social networks or blogs. Even when the actions of parents are well-intended, the information shared may not always set well with their children, and it could expose them to risks. Based on the results of a survey of 2900 Spanish schoolchildren (9–17 years old), their experiences of sharenting have been studied. Nearly one in five say that their parents have shared information about them online. This practice increases with age, affecting girls in particular. Approximately 12% of the children asked their parents to delete this shared information, and negative consequences resulting from this practice, whether direct or indirect, are not common (4%). The association between sharenting and the enabling and restrictive parental mediation strategies has also been analysed. The data show that parents who frequently mediate their children’s online activity share significantly less information. In any case, what stands out is the fact that parents post this information online, which indicates the need for parents to have a higher level of awareness about this issue.

scholarly journals Online social networks security and privacy: comprehensive review and analysis

2021 ◽  
Author(s):  
Ankit Kumar Jain ◽  
Somya Ranjan Sahoo ◽  
Jyoti Kaubiyal
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Online Social Networks ◽  
Web Applications ◽  
Security And Privacy ◽  
Privacy Threats ◽  
Shared Information ◽  
Personal Content ◽  
Privacy Issues ◽  
Open Issues

AbstractWith fast-growing technology, online social networks (OSNs) have exploded in popularity over the past few years. The pivotal reason behind this phenomenon happens to be the ability of OSNs to provide a platform for users to connect with their family, friends, and colleagues. The information shared in social network and media spreads very fast, almost instantaneously which makes it attractive for attackers to gain information. Secrecy and surety of OSNs need to be inquired from various positions. There are numerous security and privacy issues related to the user’s shared information especially when a user uploads personal content such as photos, videos, and audios. The attacker can maliciously use shared information for illegitimate purposes. The risks are even higher if children are targeted. To address these issues, this paper presents a thorough review of different security and privacy threats and existing solutions that can provide security to social network users. We have also discussed OSN attacks on various OSN web applications by citing some statistics reports. In addition to this, we have discussed numerous defensive approaches to OSN security. Finally, this survey discusses open issues, challenges, and relevant security guidelines to achieve trustworthiness in online social networks.

Multilayer Social Networks

2016 ◽  
Author(s):  
Mark E. Dickison ◽  
Matteo Magnani ◽  
Luca Rossi
Keyword(s):  
Social Networks ◽  
Multilayer Social Networks

Hostility and Perceptions of Support in Ambiguous Social Interactions

2006 ◽  
Vol 27 (2) ◽  
pp. 108-115 ◽  
Author(s):  
Ana-Maria Vranceanu ◽  
Linda C. Gallo ◽  
Laura M. Bogart
Keyword(s):  
Social Support ◽  
Social Networks ◽  
Information Processing ◽  
Social Interactions ◽  
Social Information Processing ◽  
Perceived Social Support ◽  
Social Information ◽  
Inverse Association ◽  
Processing Bias ◽  
Information Processing Bias

The present study investigated whether a social information processing bias contributes to the inverse association between trait hostility and perceived social support. A sample of 104 undergraduates (50 men) completed a measure of hostility and rated videotaped interactions in which a speaker disclosed a problem while a listener reacted ambiguously. Results showed that hostile persons rated listeners as less friendly and socially supportive across six conversations, although the nature of the hostility effect varied by sex, target rated, and manner in which support was assessed. Hostility and target interactively impacted ratings of support and affiliation only for men. At least in part, a social information processing bias could contribute to hostile persons' perceptions of their social networks.

Sign in / Sign up

Export Citation Format

Share Document