Cyber Crimes and the Legal Implications on the Social Networking Websites

2020 ◽  
Author(s):  
Ahmad Shaikh
Keyword(s):  
Social Networking ◽  
Social Networking Websites ◽  
Legal Implications ◽  
The Social ◽  
Cyber Crimes

scholarly journals Use of social networking websites as a care instrument for hospitalized adolescents

2017 ◽  
Vol 22 (1) ◽  
Author(s):  
Camila Amaral Borghi ◽  
Regina Szylit ◽  
Carolliny Rossi de Faria Ichikawa ◽  
Michelle Freire Baliza ◽  
Uyara Talmatare Jesus Camara ◽  
...  
Keyword(s):  
Social Support ◽  
Qualitative Study ◽  
Social Networking ◽  
Healthcare Professionals ◽  
Social Networking Websites ◽  
The Social ◽  
Hospital Resources ◽  
Social Networking Website ◽  
Important Form ◽  
Process Method

Abstract Objective: This study aimed to understand how social networking websites are used by adolescents and their importance during the hospitalization process. Method: A descriptive and qualitative study was supported by the virtual ethnographic method and resorted to the symbolic interactionism as theoretical framework. Eleven hospitalized adolescents were interviewed. Results: Three categories were identified based on the analysis of interviews and posts: Being able to use social networking websites during hospitalization; Using the Facebook® chat to keep connected to friends; Seeking support from friends through social networking websites. Final considerations: Facebook® was the social networking website that adolescents used the most, standing out as an important form of entertainment during hospitalization that facilitates communication and social support. Healthcare professionals should value the use of social networking websites by hospitalized adolescents and encourage access to these tools, providing hospital resources to expand and facilitate this access.

scholarly journals SOCIAL INFLUENCE AND DEPENDENCE IN THE FACEBOOK USE BY ROMANIAN AND LITHUANIAN UNIVERSITY STUDENTS

2017 ◽  
Vol 75 (4) ◽  
pp. 354-365
Author(s):  
Vincentas Lamanauskas ◽  
Dragos Daniel Iordache ◽  
Costin Pribeanu
Keyword(s):  
University Students ◽  
Social Influence ◽  
Social Networking ◽  
Latent Variables ◽  
Negative Effects ◽  
Mean Values ◽  
Social Networking Websites ◽  
The Social ◽  
Two Samples ◽  
The University

The time spent on Facebook by university students is continuously increasing. This fact is raising many questions as regards the relation between the social networking websites and the university. The educators are challenged to understand the factors that are driving the adoption of social networking websites, the characteristics of the daily use as well as the positive and negative effects on the university work. The social influence has been recognized as one of the factors that are driving the adoption of information systems. On another hand, the excessive use may lead to addiction. The first objective of this research is to explore the correlation between the social influence and the Facebook dependence. A model with these latent variables has been specified and tested on two samples of university students, the first from Romania and the second from Lithuania. The second objective of the research is to comparatively discuss the measures in each country. A multi-group confirmatory factor analysis has been carried on to test the configural and metric invariance. The comparison of means shows that university students reporting higher social influence have a higher risk of Facebook dependence. The comparative analysis revealed that for both variables, the mean values are higher for the Romanian sample. Keywords: e-learning process, Facebook dependence, invariance analysis, social influence.

scholarly journals Cyber Bullying Detection on Social Media using Machine Learning

2021 ◽  
pp. 410-416
Author(s):  
K. Mahesh ◽  
Suwarna Gothane ◽  
Aashish Toshniwal ◽  
Vinay Nagarale ◽  
Harish Gopu
Keyword(s):  
Machine Learning ◽  
Social Media ◽  
Social Networking ◽  
Age Groups ◽  
Cyber Attacks ◽  
Cyber Bullying ◽  
Social Networking Websites ◽  
The Social ◽  
In The Beginning

From the day internet came into existence, the era of social networking sprouted. In the beginning, no one may have thought internet would be a host of numerous amazing services like the social networking. Today we can say that online applications and social networking websites have become a non-separable part of one’s life. Many people from diverse age groups spend hours daily on such websites. Despite the fact that people are emotionally connected together through social media, these facilities bring along big threats with them such as cyber-attacks, which includes cyberbullying.

scholarly journals Ethos de violência, uma reflexão discursiva sobre comunidades virtuais que agridem professores

2018 ◽  
Vol 11 (2) ◽  
pp. 68-91
Author(s):  
Morgana Soares da Silva
Keyword(s):  
Social Networks ◽  
Social Networking ◽  
Physical Aggression ◽  
Virtual Communities ◽  
Research Question ◽  
Inductive Method ◽  
Social Networking Websites ◽  
The Social ◽  
Different Levels ◽  
Interpretative Research

RESUMO:Este artigo investiga a questão de pesquisa Como se caracteriza o ethos de violência e quais as diferenças entre os sites de redes sociais Orkut, Facebook e Twitter, no que tange à construção desse fenômeno discursivo? Objetiva-se, portanto, analisar os diferentes níveis de ethos de violência encontrados nesses sites de redes sociais, comparando-os e categorizando seus tipos. Para tanto, desenvolve-se uma pesquisa qualitativa, do tipo documental e empírico-interpretativa, com emprego do método indutivo na análise de um corpus composto por 30 páginas iniciais de sites de redes sociais. As análises dos dados fundamentam-se teoricamente na Análise do Discurso de linha francesa, com base essencialmente nas pesquisas de Maingueneau (2016, 2013, 2010, 2008, 2007, 2006, 2005, 2002, 1998, 1995), e constata três categorias dos ethos de violência, a saber: a) Ethos vinculado a representações de agressão física; b) Ethos vinculado a representações de ofensa moral; c) Ethos vinculado a representações de intolerância. PALAVRAS-CHAVE: ethos de violência; ethos discursivo; redes sociais; comunidades virtuais; ciberviolência contra professores.   ABSTRACT:This article investigates the research question How is the ethos of violence characterized and what are the differences among the social networking websites Orkut, Facebook and Twitter, regarding the construction of this discursive phenomenon? The objective is to analyze the different levels of ethos of violence found in these social networking websites, comparing them and categorizing their types. For that, a qualitative, documentary and empirical-interpretative research is developed, using the inductive method in the analysis of a corpus composed of 30 initial pages of virtual social networks. The analysis of the data is theoretically based on the analysis of the French Speech Discourse, based essentially on Maingueneau's research (2016, 2013, 2010, 2008, 2007, 2006, 2005, 2002, 1998, 1995). Ethos of violence, namely: a) Ethos linked to representations of physical aggression; B) Ethos linked to representations of moral offense; C) Ethos linked to representations of intolerance. KEYWORDS: ethos of violence; discursive ethos; social networks; virtual communities; cyberviolence against teachers.

scholarly journals A survey on text mining in social networks

2015 ◽  
Vol 30 (2) ◽  
pp. 157-170 ◽  
Author(s):  
Rizwana Irfan ◽  
Christine K. King ◽  
Daniel Grages ◽  
Sam Ewen ◽  
Samee U. Khan ◽  
...  
Keyword(s):  
Text Mining ◽  
Social Networking ◽  
Social Networking Sites ◽  
Data Sets ◽  
Text Documents ◽  
Network Applications ◽  
Social Networking Websites ◽  
The Social ◽  
Information Patterns ◽  
Basic Approaches

AbstractIn this survey, we review different text mining techniques to discover various textual patterns from the social networking sites. Social network applications create opportunities to establish interaction among people leading to mutual learning and sharing of valuable knowledge, such as chat, comments, and discussion boards. Data in social networking websites is inherently unstructured and fuzzy in nature. In everyday life conversations, people do not care about the spellings and accurate grammatical construction of a sentence that may lead to different types of ambiguities, such as lexical, syntactic, and semantic. Therefore, analyzing and extracting information patterns from such data sets are more complex. Several surveys have been conducted to analyze different methods for the information extraction. Most of the surveys emphasized on the application of different text mining techniques for unstructured data sets reside in the form of text documents, but do not specifically target the data sets in social networking website. This survey attempts to provide a thorough understanding of different text mining techniques as well as the application of these techniques in the social networking websites. This survey investigates the recent advancement in the field of text analysis and covers two basic approaches of text mining, such as classification and clustering that are widely used for the exploration of the unstructured text available on the Web.

scholarly journals Extracting Information from Microblogs Posted During Natural Disasters

2020 ◽  
Vol 9 (4) ◽  
pp. 878-882
Keyword(s):  
Social Networking ◽  
Natural Disasters ◽  
Language Processing ◽  
Information Gain ◽  
Svm Classifier ◽  
Unexpected Events ◽  
Classification Schemes ◽  
Social Networking Websites ◽  
The Social ◽  
Processing Techniques

Social Networking websites plays an important role in our life. The usage of the above websites is in every domain of our lives and they have increasingly infused itself into daily life. In recent years, the social networking websites such as Twitter, Facebook, are used in natural disasters. Many features have been included in Twitter for fast responses in such kind of unexpected events. This paper is based on the experiments performed on the 2017 Microblog Track provided by Forum of Information Retrieval & Evaluation. The Classification schemes are used with two predefined labels as need and availability. The various pre-processing and natural language processing techniques are applied before the training of the model. The experiments showed that the classification accuracy is increased when the term weight is modified by using the information gain method and using the SVM classifier. This system automatically annotated the FIRE-2015 dataset of microblog track with 97% accuracy.

Social Networking Websites and Privacy Concern: A User Study

2018 ◽  
Vol 8 (1) ◽  
pp. 33-38
Author(s):  
Krishanu Dey ◽  
Parikshit Mondal
Keyword(s):  
Social Networking ◽  
Social Networking Sites ◽  
Online Survey ◽  
User Study ◽  
Online Communication ◽  
Privacy Concern ◽  
Social Networking Websites ◽  
The People ◽  
The Social ◽  
The Mind

With the advent of the online digital mode of communication the traditional communication tools are losing their grounds. The increasing popularity of the Social Networking websites has paved new ways of online communication. But the social networking sites have also eroded some privacy related ethical questions in the mind of the researchers. This paper aims to identify the privacy related issues related to the social networking websites. As a representative of the social networking websites Facebook has been studied along with its usage standards and policies. To fulfill the aim of the study some relevant literatures are studied and an online survey has been conducted. The study reveals, though most of the people are concerned about the privacy issues while using the social networking sites, they hardly practice the safety norms in the actuality.

scholarly journals Predictors Of Social Networking Sites (SNS) Influence For Restaurant Industry

2021 ◽  
Vol 12 (5) ◽  
pp. 1579-1584
Author(s):  
Pallavi Dogra
Keyword(s):  
Factor Analysis ◽  
Social Networking ◽  
Social Networking Sites ◽  
Restaurant Industry ◽  
Primary Data ◽  
Social Networking Websites ◽  
Social Prestige ◽  
Five Factors ◽  
The Social ◽  
Restaurant Reviews

: Social networking websites serve the purpose of connecting with each other. But nowadays it serves various other uses such as marketing purpose, shopping platform, review engine and many more. The main aim of the present paper is to explore the factors that affect the customers visit towards the restaurant influenced due to reviews mentioned on the social networking websites. Primary data was collected from 332 respondents belonging to the cities such as Mathura, Agra, Firozabad, and Allahabad. Non disguised questionnaire was used for the data collection purpose. Exploratory factor analysis has been applied on the collected data. The results of the study found five factors such as SNS Engagement, Conformity to trend, Social Prestige, Quality Perception, social influence on SNS which are affecting the customer’s views towards restaurant reviews.

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