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Tuesday, July 14, 2020

A Study of Reported Cyber-crime in Sri Lankan Police Station


A Study of Reported Cyber-crime in Sri Lankan Police Station

Introduction

1.1  Background of the Study


To be able to function in a good and orderly way, society needs some degree of order and continuity, and therefore safety. Safety and security has long been merely a question of protection against dangers from the physical world. Late last century, ‘cyberspace’ arose alongside the old world (Stol 2008, cited in Leukfeldt, R. et al, 2013). This ‘new’ world is increasingly intertwined with the traditional offline world and therefore safety in cyberspace has become a prerequisite for a well-functioning society. A secure cyberspace means a cyberspace where (and from where) no crime is committed. In this, the police have a task.
Definitions range, for instance, from: ‘any kind of crime that is related to computer systems’, to ‘all crime carried out using a digital component’ (PAC 2008, cited in Leukfeldt, R. et al, 2013 ). It is clear that these definitions differ somewhat in their nature. The first definition is narrow: only crimes that are committed on computer systems, for instance, hacking and spreading viruses, are included, while crimes like fraud or stalking via internet are not. The second definition is broad: crimes whereby the perpetrator has merely used a mobile phone or a satellite navigation system to commit them are also considered to be Cyber-crime.
There are also several definitions that fall between these two extremes. Characteristic of these definitions is that they identify several categories (Van der Hulst & Neve, 2008; Stol et al., 2011; Leukfeldt et al., 2010, 2012; Bernaards et al., 2012; Campman, 2012; Domenie et al., 2013, cited in Leukfeldt et al,2013). The common theme here is that there is a category of offenses that focuses on Information and Telecommunication Technology (ICT) and these offenses are committed using ICT (hacking, destruction of digital information). Furthermore, there are offenses that do not focus on ICT, but in which ICT is fundamentally important to enabling the offence to be (for instance, fraud via internet or the spreading of child pornography).
The main purpose of this study is to find out the relationship between the effectiveness of police department in Sri Lanka and the reported Cyber-crimes. To support this purpose I have done a survey through the questioner to find out whether there has occurred the Cyber-crime in Sri Lanka. And also I have checked how the internet usage, IT knowledge and awareness of the people effect for the Cyber-crimes and is there any relationship between these factors and Cyber-crimes.
To achieve the research main purpose I have used the qualitative interviews and secondary data sources such as police report and newspaper articles.

1.2             Problem Statement

Is there any relationship between the reported Cyber-crime and effectiveness of police department in Sri Lanka?

1.3             Objectives of the Study

Ø  To find out the relationship between reported Cyber-crimes and effectiveness of the police department in Sri Lanka.

Ø  To find out the existing Cyber-crimes reported in police station for the period of 2010 to 2014.

Ø  To find out the various sources those are related to the reported Cyber-crimes.

Ø  To find out the frequently occurred Cyber-crimes in Sri Lanka.

1.4             Scope of the Study


The scope of this study is finding out the relationship between Effectiveness of the police department and Reported Cyber-crime in Sri Lanka. In order to collect the information to achieve the purpose of study data collection from the people in the 5 areas of Colombo district were used. And also author collected the data from the police officers.
The remaining part of the study begins with the literature review that investigates the existing position of Cyber-crimes, effectiveness of police department, the relationship, factor and correlation analysis, finally the findings and conclusion.

Literature Review

Ø  Cyber-crime
Cyber-crime is arranging of illegal digital activities targeted at organizations in order to cause harm. The term applies to a wide range of targets and attack methods. It can range from mere web site defacements to grave activities such as service disruptions that impact business revenues to e banking frauds (KPMG Report, 2014).
There is no consensus in the Sri Lanka on how Cyber-crime should be defined and
which crimes it encompasses exactly. According to the Hulst & Neve (2008) Cyber-crime is concluded as: ‘A common definition and consistent conceptual framework is lacking for this field of crime. A veritable arsenal of terminology is used, sometimes in combination with the prefixes cyber, computer, e-, internet, digital or information. Terms are bandied around, applied randomly, reflect overlap in content or reflect important gaps.’
The Oxford Reference Online defines 'Cyber-crime' as crime committed over the Internet.
Cyber-crime or computer crime is considered to be any crime that uses a computer and a computer network (Matthews 2010).
A basic definition describes Cyber-crime as a crime where computers have the possibility of playing an important part (Thomas and Loader 2000)
The crimes that are committed by computers and networks called Cyber-crimes (Avais, M. A. et al, 2014).
The survey which was done by Leukfeldt, R. et al, (2013) try to get answer for the question which is to what extent is the Dutch police organization able to effectively combat high volume cyber-crime? To get the answer they were look at the police records, analyze the nature of these crimes and look at the functioning of the Dutch police regarding the cyber-crimes what are the strengths and weaknesses of their handling of cybercrimes? Finally they conclude that. Finally they came up with the result of the Dutch police are insufficiently organized to combat cyber-crime and the lack of priority and proper capacity throughout the entire police organization to fight digital crimes results in cyber cases never entering the criminal justice system or leaving the criminal justice process early.
The main factor in cyber-crime increase is the Internet. By use of Internet, cybercriminals often appeal to images, codes or electronic communication in order to run malicious activities. Among the most important types of Internet crimes we can mention: identity theft, financial theft, espionage, pornography, or copyright infringement. The cyber-crimes can be divided into two categories: the crimes where a computer network attacks other computers networks – e.g. a code or a virus used to disable a system, and, the second category, crimes where a computer network attacks a target population – e.g. identity theft, fraud, intrusions (Svensson 2011).
When consider the above various definitions normally we can say Cyber-crimes are any crimes that involve a computer and a network. In some cases, the computer may have been used in order to commit the crime, and in other cases, the computer may have been the target of the crimes. There so many types of Cyber-crimes such as hacking Identity theft, Ransomware, DDoS attacks, Botnets, Spam and Phishing and etc. hacking is the main type of Cyber-crime. It can be defined as a Hacking is the gaining of access (wanted or unwanted) to a computer and viewing, copying, or creating data (leaving a trace) without the intention of destroying data or maliciously harming the computer.
This is the example for hacking (case 01).
Case 1: Hacking in the relational sphere
I was married to [suspect]. On [date] I officially divorced [suspect]. After the official divorce comes the process of determining the alimony. From [date] I noticed that my personal and private data was known to [suspect]. I received a letter from my neighbor with an incriminating statement that I wanted to use in court. This (paper) letter I personally received at another location because I did not want to arouse suspicion. On [date] I digitized the letter and stored it on my laptop. After that, I sent it over a wireless network to my lawyer. On [date] my neighbors called me and told me that my ex, [suspect], stood at their doorstep and wanted to know about their incriminating statement. [Suspect] had information from the letter I had sent to my lawyer. There were also some e-mails deleted from my e-mail account and [suspect] knew about other confidential information about me and correspondence with my lawyer. I suspect that my ex-partner may have had access to my laptop, possibly by hiring a hacker. The reason that my ex-partner would do this is because she wants to manipulate the judicial process by passing on my incriminating statements to her lawyer (Leukfeldt, R. et al, 2013).

An Analysis of Cyberbullying Sensitivity Levels of University Students of Sri Lanka

An Analysis of Cyberbullying Sensitivity Levels of University Students of Sri Lanka


1.1  Background of the study


With the development of technology the means of communication have changed rapidly in the past few years. Today the internet and social media are frequently used to stay connected with people rather than face-to-face relationships. More than the adults the youth are attached to cyber communication as an integral part of their daily life. For the youth online communication has assisted to expand their social circle. Therefore youth are actively using the internet as a very convenient and important form of social interaction.
In Sri Lanka the access of young people to the internet have rapidly increased in recent years. Total internet connections grew by 68.4 percent during 2014 largely due to the growth of mobile internet usage. In 2013 internet connections grew by 47 percent, increasing internet penetration (connections per 100 persons) to 9.8 percent.

In the case of Sri Lanka social media has grown at an alarming rate. There are over 2.3 million users of social media from the total population of 21 million.  That means 11.5 percent of the Sri Lankan population use Facebook. When a gender breakup is considered around 1.4 million are males and the rest would be female.  It is estimated that on average they spend about 34 minutes a day on social media and the age group of 25-34 makes up 33 percent of the entire base.

While such developments have provided great opportunities it also brings new problems related to
social and individual development of young people. One of those main problems is cyberbullying, which is expressed as purposeful and repeated misuse of technology to scare and harm others. In the Sri Lankan context the rate of cybercrimes have increased rapidly according to the Computer Emergency Response Team. There were 900 incidents related to cyber offences reported from January till end of May, while in 2014 there were 2250 reported incidents of that nature. In 2012 and 2013 the reported incidents were 1100 and 1200 respectively. Based on the given statistics the number of offences have almost doubled from 2013 to 2014.
                                                                                     
While most of the studies in the literature focuses on the influences of cyberbullying on victimhood, cyberbullying sensitivity of people is mostly ignored. Therefore, the aim of this study is to investigate
cyberbullying sensitivity levels of university students, who are among the potential victims of cyberbullying and whether this could be used to predict cyberbullying sensitivity.

1.2  Objectives of the study


1.   To identify the existing levels of cyberbullying sensitivity among university students
2.   To find out the relationship between cyberbullying sensitivity levels among university students and their perceived social support levels
3.   To find out cyberbullying sensitivity levels of students and their perceived social support according to gender

1.3  Scope of the study and limitations


This research looks at cyberbullying sensitivity of government university students which is a representative sample from the educated young crowd. Responses from students of university of Sri Jayawardenepura, Colombo, Moratuwa and Kelaniya were gathered for this purpose.
This study has some limitations. First occurrences of cyberbullying were understood from a subjective perspective. In other words concept of cyberbullying will differ from individual to individual and hence this study does not provide an objective interpretation to the notion of cyberbullying. No in depth information was gathered regarding responses to certain specific instances of cyberbullying. It is better to
utilize qualitative data collection techniques such as interview and observation, which will reveal perceptions to cyberbullying  events in a more holistic way.

Secondly, for the current study, the factors predicting cyberbullying sensitivity are
limited to social support. There are other variables that must be taken to consideration.
Finally, the social support perceived by the young people may be affected by their current relationship with other people than their parents, teachers and friends which is ignored in the current research.

An analysis of the Internet Addiction towards the academic performance among undergraduate students in Sri Lanka


An analysis of the Internet Addiction towards the academic performance among undergraduate students in Sri Lanka

Background of the Study

Now a day’s Information Technology plays an important role in the society.  Information technology has a considerable contribution to every day to day activity. Mainly the internet has a huge impact on the human life. The Internet has become an essential component of people’s everyday life throughout the world. This ranges from its support in improving the way people seek information, conduct research, perform business transactions, and communicate with others and various other features (Chou 2001). For an example online banking, online learning, online shopping, social networks & etc. However the use of internet in human’s life has both negative and positive impacts. This study further elaborates how the use of internet has an impact on the academic performance of the undergraduates’ students.  Now a day’s students are using the internet as a primary source of seeking new knowledge, completing assignments and etc. As a result they might have to spend number of hours for surf the internet. This could be result in addicting students to the use of internet other than for the educational purposes. Due to long term stay online, young people have problems in learning, work and family’s duties, online stay above 5 hours a day maybe followed by increased risk of addiction (Kwiatkowska et. al, 2007).  The changes of the Grade Average Point (GPA) may be able to easily reflect how the internet addiction affects the academic performances of the undergraduate students.

Objectives of the Study
The Objectives of this study is to,
1.      To find out the level of internet addiction  among the Undergraduate Students in Sri Lanka
2.      To find out relationship between Internet Addiction and Academic Performance of the Undergraduate students in Sri Lanka

Scope of the Study

As the title of the study indicates the study is about the undergraduate students in Sri Lanka. The study is carried out using the response of the Undergraduate students in the University of Sri Jayewardhanapura.  The researcher will generalize the findings according to the findings of the sample
Chapter 02
Literature Review
Since the mid-1990s, the Internet has experienced unprecedented growth in both its size and number of users around the world (Rotsztein, 2003) As explained earlier the purpose of this study is to identify the relationship between the Internet Addiction and Academic performance of the undergraduate students. Because the Internet has become the most widely accepted channel for information exchange and networking, a danger exists that it could lead to pathological usage or Internet addiction. In the rapidly expanding universe of social media, many themes of Internet addiction are played out in the everyday life experience of the typical college student, with the prevailing emphasis on the cause, effects, restraints and consequences of their actions.(Mishra et al. 2014)
A medium or technology forces society and the individual to adapt to it, rather than the individual adapting the technology to the current world. Each technological development fundamentally changes the way the world works. Certainly, the development of the Internet and World Wide Web paved the way for the social media explosion in communications and interpersonal behavior. Use of the Internet on college and university campuses parallels the strong advances of the society at large. While the primary focus of the Internet was initially faculty research, it has migrated to the student community, reached the stage of overwhelming acceptance, and is now poised to become a psychological addiction. (Mishra et al, 2014)
Internet Addiction can be explained by many forms. Such as addiction to Social Media, Online Gambling, Online Affairs, Online Shopping, Pornography & etc. Technology and the Internet use particularly by college students have been associated with more frequent communication with friends and family members (Clark, Frith, & Demi, 2004; Howard, Rainie, & Jones, 2001).
According to the findings undergraduate students are more interested in the enjoying in the social media such as Facebook, Viber and Etc.
Several studies have reported gender differences in internet usage. Weiser (2000) reported significant gender difference in internet usage. He reported that males tend to be more familiar with the computers and internet as compared to females. Same gender differences were stated in the literature concerning internet addiction. Scherer (1997) suggested that dependent internet users included a large proportion of men as compared to women. Similar results were reported by Morahan-Martin and Schumacher (2000) that males were more likely to be pathological internet users than females. Keeping these findings in view, it was hypothesized that male students would be associated with addicted internet usage as compared to females.  (Noreen Akhter,2013)
In Pakistan, the Internet was first introduced in 1995. During recent years, a dramatic growth in the use of Internet has been observed in Pakistan. Few researches have been conducted in the field of cyber world and its impact on adolescent‟s behavior. Suhail and Bargees (2006) investigated the effects of excessive internet use in undergraduates of Pakistan. However, the current study would be a step ahead in the same line to investigate the phenomena of internet addiction in depth which would ultimately add to the existing body of knowledge. (Noreen Akhter,2013)
The current work was undertaken to determine the relationship between internet addiction and academic performance of undergraduates. This research specifically focused on Internet usage (not of just computer) as studies have revealed that it is mostly the Internet that makes people addictive of computers. It was decided to study only undergraduate students for this purpose as they were found to be the heavier consumers of the Internet compared to postgraduate students. (Noreen Akhter,2013)

  
Research Methods
Data Collection Methods
Data was collected using a questionnaire, developed by the researcher in order to measure and identify the relationship between the internet addiction and academic performance of the undergraduate students in Sri Lanka. The questionnaire was developed with the multiple choice questions and likert scale questions in way that researcher can obtain the data on the undergraduate students’ perception and level of addiction on the Internet and the impact of the academic performances. The questionnaire was distributed among the undergraduate students who were selected randomly. This is the primary source of data collection and published research articles can be used as the secondary source of data.  

Population
As the researcher is going to assess the relationship between the internet addiction and the academic performances of the undergraduate students in Sri Lanka, the population of the Study would represent the All the undergraduate students in Sri Lanka.

Sample
Due to the limitations of the accessing to the whole population a convenient sample is selected to collect the data and to conclude on the research findings. Any way the sample should be able to generalize the findings to the whole population. Therefore for this study the sample would represent the undergraduate students from the University of Sri Jayewradhanapura.  The data was collected from 50 respondents from the Faculty of Management Studies and Commerce. 

Variables
Title of this study is the relationship between Internet Addiction and Academic Performances of the Undergraduate Students in Sri Lanka. The Variables of the study clearly define the types of the Internet Addiction of the undergraduate students. There are three variables was used. They are Addiction to the Face Book, Addiction to the Online Shopping and Addiction to the Online Cinema. As described in the early part now day’s internet has become an essential part of  everyone’s life therefore  above three variables represent the how far the internet has an impact of a student’s life.

Data Analysis Methods
The data was analyzed using the Stoical Packages for Social Sciences (version 16).  Regression analysis was used in order to conclude on whether to accept or reject the null hypothesis. Further the descriptive statistics were used in order to identify the characteristics of the responders’ internet usage profile.

List of Hypothesis
As the three variables are used to measure the level of internet addiction hypothesis can be built as follows.
1)      Ho- There is no significant Relationship between the Addiction to the Face book and  Academic Performance
H1- There is a relationship between the Addiction to the Face book and Academic Performance
2)      Ho- There is no significant Relationship between the Addiction to the Online Shopping and  Academic Performance
H1- There is a relationship between the Addiction to the Online Shopping and Academic Performance
3)      Ho- There is no significant Relationship between the Addiction to the Online Film watching and  Academic Performance
H1- There is a relationship between the Addiction to the Online Film watching and Academic Performance

Friday, June 19, 2020

An analysis of the attitude towards cyberbullying and cyber victimization among the university students of Sri Lanka


 An analysis of the attitude towards cyberbullying and cyber victimization among the university students of Sri Lanka


Abstract
Cyberbullying is a form of bullying that occurs through technological means, such as social networking, instant messaging and through mails. It can be constant, and at other times may occur in isolated incidents, but despite the timeline of progression, some scholars argue that the effects are almost always catastrophic (Kowalski, Limber, & Agatston, 2012).With the emergence of internet and sophisticated cyber technologies, real words bullies have been applied to cyberspaces by those who tend to be aggressive without being aware of the potential harm they cause to another person. This has become an intriguing area for academics and practitioners. The present study aims at explaining the attitude towards cyberbullying and cyber victimization among the university students in Sri Lank in terms of their personality factors. A short form of Eysenck personality Questionnaire, Rank scale for cyberbullying indexes were given for 113 university students. The frequency statistics and person correlation of coefficients were carried out in analyzing data. The most important findings of the study is that, the attitude towards cyberbullying and cyber victimization was related to psychoticism and extraversion dimensions of personality. Regarding the cyber victimization levels, it was found that most of the participants were subjected to cyber victimization at least in one occasion in their life. Results indicate that Female participants were more likely to be subjected to cyber victimization than the males. Further, it was found that anonymous calls, creating fake profiles or web pages are the most popular methods used by university students for cyberbullying.

Keywords: Cyberbullying, Cyber victimization, personality

1. Introduction

1.1 Background of the study

With the rapid growth in technological advancements, the availability and use of internet has been increased exponentially in recent years and it continues to grow at an explosive rate. Thus the use of internet has become an integral part of peoples’ life’s and often people use it to communicate with others through text messages, sharing videos, photographs and social network sites etc. In parallel to these developments in the context of technology, various problems have come in to the existence about the use of internet by various parties such as students who are at the stage of adolescence period, representing various universities and colleges.

Research in this field demonstrates that today we face with cyberbullying behaviors more often which is a new form of violence emerged with the advancements in technology and internet related services. The word “bullying” is often defined as being an aggressive, intentional act or behavior that is carried out by a group or an individual repeatedly (Whitney & Smith, 1993, Olweus, 1999). Vandebsch and Cleemput, (2008) describes Cyberbullying behavior, literally, as a kind of violence, including the usage of internet and mobile phones. Accordingly, Li (2007) described cyber bullying as a kind of bullying behavior involving inclination as hacking personnel websites, accounts and damaging one’s reputation and information presented, through the use of technologies.

Cyberbullying is a form of bullying which has in recent years become more apparent with the increase in usage of electronic devices such as computers and mobile phones by young people. Cyber - Bullying has been increasing in online environment at an explosive rate like no other. Researches believes the increasing online shared life among youngsters such as university students has contributed significantly for the dramatic increase in cyberbullying behaviors. (Campell, 2005; Dehue, Bolman and Vollink 2008). According to a research done by UNICEF, 19.7% university students reported engaging in cyberbullying at least one time, and 54.4% of them reported as Victims of cyberbullying at least once in their life time. Accordingly it can be said that a new kind aggression called as Cyber - bullying has emerged with the rapid growth in technology in cyberspace which may also bring out cyber victimization.

Cyberbullying can take many forms. The main types of cyberbullying behaviors are anonymous calling, sending spam mails or viruses, creating fake profile or web pages, posting photographs or videos of someone without his consent, hacking someone’s profile, sending mean, vulgar or threatening messages and spreading lies and rumors through internet about someone else. Cyberbullying is also different from traditional bullying because it is anonymous and it can have a rapid effect through comments or sharing videos or photographs etc. are sent around the world in minutes and it can occur at anywhere – anytime. Cyberbullying is a particularly invasive form of bullying and one from which it can be difficult to escape (Lodge, Frydenberg, 2012)

Researchers has found through studies that, all over the world people use internet in many different ways depending on their own personal factors and preferences especially, based on the three dimensions of personality defined as neuroticism, psychoticism, extraversion which are identified under the Eysenck’s personality theory. Neuroticism is a dimension of personality defined by instability and high anxiety at one end and stability and low anxiety at the other end. Extraversion dimension of personality is characterized by being outgoing, talkative, high on positive affect and in need for external stimulation. Psychoticism personality is characterized by such as recklessness, anger, inconsideration and hostility. In addition to that psychoticism personality may associate with psychotic disorders or have a greater risk of developing such diseases. Findings indicate that the greater use of internet is related to decreased communication with family members, social isolation and an increase in depression and loneliness which associated with the above mentioned personalities of Extraversion, Neuroticism and Psychoticism. Hence this study aims at seeking a relationship between attitudes towards cyberbullying, cyber victimization and personality factors of university students.

1.2 Objectives of the study


The aim of the study is to achieve the following research objectives,
1.      To find out the existing level of cyberbullying and cyber victimization among university students of Sri Lanka,
2.      To find out a relationship between attitudes of cyberbullying, cyber victimization and personality of university students.

1.3 Scope of the study

Undergraduates of various departments of management and commerce faculty of university of Sri Jayewardenepura were selected for the study irrespective of their year of study.

2. Literature review

2.1 Summary of the base research

Cyberbullying is a fairly recent concept, and the research exploring it is still in its initial phase. Nevertheless most of the researches has been able to conduct successful studies in the context of cyberbullying by exploring relationships between cyberbullying behaviors and the intensity of those cyberbullying behaviors with demographic variables such as age and gender.
One of the research carried out by Ozden, M.S & Serra, 2013 discuss the perception of cyberbullying and cyber victimization by university students in terms of their personality factors. The objective of the researcher was to find an association between university student’s perceptions of cyberbullying, cyber victimization and their personality factors. The researcher defines cyberbullying as electronic bullying and online social cruelty that occurs through e-mail, instant messaging, chat rooms, web pages, video gaming and digital messages sent via cellular phones. On the other hand the concept of cyber victimization is explain in a simple manner as being victims of cyberbullying activities.
For the study the researcher identifies ten types of cyberbullying behaviors listed below;
·         Anonymous calls
·         sending spam mails or viruses
·         sending mean, vulgar and threatening messages
·         spreading lies and rumors about someone else
·         creating fake profile or web page
·         posting photographs or videos of someone without his consent
·         sending request for sexual intercourse
·         hacking someone’s profile
·         fake statue or place statements
·         Harassing or threatening statements devoted to a partner in a romantic relationship.
The personality factors of the students (independent variable of the research) were determined by the researcher in his study through Eysenck personality Questionnaire (EPI) which is a widely accepted method for assessing personality of humans. The questionnaire assess the personality of a person in three dimensions including 101 sample self – reported items designed to top each of the factors with “Yes” or “No” answers and give score for psychoticism, neuroticism and extraversion (Cervone and Pervin, 2008).In addition to that the researcher had used four point Likert scale type of questions to assess the degree of harmfulness of ten cyberbullying behaviors identified for the research. A cyber-bully/Victim scale was used to assess the perception of students in cyberbullying and cyber victimization. The scale consist of 19 items under 3 factors.1.Factor is about online sexual harassment, 2. Factor is about intentionally excluding someone from an online group and disturbing him, 3. Factor is about spreading mean or embarrassing rumors.
The researcher picked a sample of 136 students in age range of 18 - 39 for the study from Istanbul Kultur University. Among his total sample, 39% represented males’ students and 61% represented females. Using the data collected the researcher has examined gender influences on student’s beliefs regarding cyberbullying and found a significant difference between males and female university students only in cyberbullying behavior of “spreading means or embarrassing rumors. The researchers states that male university students were more concerned as cyberbullying offenders as spreading mean or embarrassing rumors, than females.
In addition to the above, the findings of the researcher shows that male university students perceived “Posting photographs or videos of someone without his consent”, “sending online request for sexual intercourse”, “hacking someone’s profile” as significantly harmless cyberbullying behaviors than the females. Further the researcher has found a relationship between cyberbullying behaviors and personality factors. A strong co- relation has been found between sending online requests for sexual intercourse and psychoticism personality dimension where as a medium significant co – relation founds between “creating fake profile or web page” and being psychoticism and “hackings someone’s profile” and being psychoticism. As per the research findings the other personality dimensions such as extraversion and cyberbullying behaviors such as creating fake profile or web page seems to shows a weak but significant negative co- relation. The researcher states that the personality dimension of extraversion increases the student’s perception of creating fake profiles or web pages as more harmful. Further the researcher was able to found a relationship between cyber victimization and personality factors. According to the research findings a weak significant co- relation exists between cyber victimization and psychoticism personality factors.
In conclusion the researcher address the primary question of the research that is whether the tendency to be a cyberbullying offender or victim is associated with personality factors or not. Based on findings of the study the researcher emphasizes that being either a cyberbullying offender or to be a victim was related to be psychoticism.

2.2 Review of existing other literature

Most of the researchers has made efforts to examine the factors behind cyberbullying .Among those studies of cyberbullying, Sourander (2010) discussed the wide range of psychiatric and psychosomatic problems associated with the cyberbullying. The researcher states that most of the cyberbullying offenders and victims experience more frequent psychosomatic problems, headaches, sleep disorders, a higher number of emotional and peer – related problems and neglected by others.
Perren, Dooley, Shaw & Cross (2010) found that the cyberbullying behaviors are highly correlated with psychological and physical problems. Through the examination of large number of respondents they found that both cyber –victims and cyber – bullies experienced higher level of stress than their peers, including higher depressive symptoms, which eventually  led them to engage in destructive behaviors such as tendency to smoke and increased alcohol consumption.
Bauman (2010) in this study found that majority of those who engage in cyberbullying activities had experiences in cyberbullying activities before as offenders and victims. Further, it was emphasized that most of the persons victimized through cyberbullying activities were tend to blame themselves for their own behavior and found to tolerate such abuses resulted through cyberbullying activities than taking necessary actions to avoid such victimization in future such as being disconnected from technology.
A study conducted by Wolak, Mitchell & Finkelhor (2007) examines adolescent perceptions of online harassment which is one of the cyberbullying behaviors. Researchers found that “those harassed by known peers were about five times more likely to have used the internet to harass someone they were mad at than youth not harassed”. In addition to that the study shows an impressive result in which females were found to be much more likely to engage in cyberbullying activities than their males counterparts.
Koing, Gollwitzr, & Steffgen (2010) in their study found that revenge/retaliation as a motivational factor contributes significantly to the increase in cyberbullying activities in cyber space.
There are some other studies conducted by the researchers with regard to intensity of cyberbullying behaviors. A study conducted on 177 secondary school students in Canada shows that 23% of the respondents have been exposed to bullying via e- mail and 41% of them via telephone )messages. Further 35% of them have bullying via chat rooms.32% of them have been exposed by friends they know in school.11% of students have been exposed to cyberbullying by students they do not know. (Shariff.2005)
National children’s home (NCH) have produced a survey on cyberbullying. The survey conducted on 770 young people aged 11-19.The results of the survey shows that 20% of the young people had been bullied or threatened by some sort of digital bullying such as posting videos and pictures, and 14% through text messages. Further 5% of respondents found to be bullied through chat rooms and 4% by e mail.        

2.3 Secondary data

Numerous sites and publicly available information sources reports researches and vital information with respect to cyberbullying and cyber victimization. An American website I – safe reports research in cyberbullying, from a survey of 1,500 students aged between 9-13 years old. The main findings (cited from www.mmu.k12.vt.us) were that 42% of children claimed to have been bullied online. 35% had been threatened online, and among them 21% had received threatening e- mails or other messages.
An Australian news website www.theinquirer.net provide brief statistics on cyberbullying. The statistics has been produced based on a study conducted on Queensland University of technology. According to the published information it is revealed that 13% of the respondents of the study seems to have already experienced cyberbullying at the year of 8, and 25% of them knew somebody who had experienced in cyberbullying.
The national society for the prevention of cruelty to child (NSPCC) provide statistics with regard to cyberbullying on their official web – site (www.nspcc.org.uk) .According to one of the self – completion survey conducted on online, it was  found that 28% of children aged 11-16 with a profile on  a social networking has experienced upsetting cyberbullying activities in United Kingdom. Among them 37% were exposed to trolling (Unkind, sarcastic or negative comments or rumors circulated through online) where as 22% of them were excluded from social groups through cyberbullying activities.12% reported being harassed by sending sexual messages online.
The UNICEF organization’s official website provide some key findings with respect to cyberbullying and cyber victimization. According one of the studies carried out by UNICEF, 19.7% of university students found to be engage in cyberbullying at least one time and 54.4% of them reported being victims of cyberbullying at least one of their life time
The nobullying.com which is an online forum aimed at educating, advising, counselling and all importantly helping to stop bullying. According to the public statistics published on the web – site, 25% of teenagers have experienced cyberbullying via cell phone or internet. Further 11% percent of the respondents have report cyberbullying activities such as taking photos and ideas and posting them online .Further it was found that Over 55% of the respondents has witnesses cyberbullying on social media.

3. Research method

3.1 Data collection method

A questionnaire was devised for the purpose of data collection. The questionnaire consists with four parts as Part A, Part B, Part C and Part D. The Part A of the questionnaire records demographic information of the respondents such as gender, age, department to which they belong and year of study. Part B of the questionnaire consists with Single choice questions developed in order to identify existing levels of cyberbullying and cyber victimization. Part C of the questionnaire presents likert scale questions for assessing the attitudes of cyberbullying/cyber victimization of university students in terms of endangerment degrees of harmful behaviors defined as cyberbullying. The cyberbullying behaviors used for Part C was derived from the definitions of “Cyberbullying” in literature. The cyberbullying behaviors are listed as below;
·         Anonymous calls
·         Sending spam mails or viruses
·         Sending mean, vulgar and threatening messages
·         Spreading lies and rumors about someone else
·         Creating fake profile or web page
·         Posting photographs or videos of someone without his consent
·         Sending request for sexual intercourse
·         Hacking someone’s profile
·         Harassing or threatening statements devoted to a partner in a romantic relationship
·         Fake statue or place statements
The undergraduates were asked to tank cyberbullying behaviors on a five point likert type of scale; 1= More harmful,   2 = Harmful,   3= Neutral, 4= Harmless, 5= More harmless
The part D of the questionnaire consists with thirty (30) likert scale type of questions where ten (10) questions each has been developed to assess personality dimensions of respondents identified as Psychoticism, Extraversion and Neuroticism. The questions developed under part D follows the structure of Eysenck personality questionnaire, which is a popular set of questionnaires used to assess the personality in three dimensions as mentioned above.

3.2 Types of variables

According to the research objectives of the study the following independent and dependent variables has been identified and the questionnaire has been developed in manner to measure such variables through Likert scale questions as explain in 3.1 above.
1.      Independent variables – Three dimensions of Personality defined as,
                                                                                               i.         Psychoticism,
                                                                                             ii.         Extraversion and, 
                                                                                           iii.         Neuroticism

2.      Dependent variables –    i.  Attitudes towards cyberbullying
                                        ii. Attitude towards cyber victimization

The relationship between above mentioned variables can be illustrated as follows.


Psychoticism

Extraversion

Neuroticism

Attitudes towards cyberbullying, cyber victimization
 








                           


3.2.1 Independent variables


The three dimensions of personality neuroticism, psychoticism and extraversion as defined by Eysenck’s personality theory have been identified as the independent variables of the study. These personality dimensions of the individuals have measured through likert scale type of questions which have been formulated to address each type of personality dimension. Under the data analysis hypothesis testing has been done under the said dimensions and assessed whether any relationship exists between the attitude of cyberbullying, cyber victimization and personality dimensions.

3.2.2 Dependent variables


The attitude towards cyberbullying and cyber victimization have been identified as dependent variables of the study. More ever, the attitude of cyberbullying and cyber victimization are two sides of the same coin. In other words harassing other people through activities such as creating fake profiles, sending spams and mails, posting photographs or videos in internet without someone’s consent are considers as cyberbullying and  being expose to them known as cyber victimization. As aforementioned, since cyber victimization and cyberbullying are two sides of the same coin, it was decided to assess the attitude on those two variables using the same set of Likert scale questions which provides scale 1 to 5 as 1 = more Harmful, 2= Harmful, 3 =Neutral, 4= Harmless, 5 = More harmless. For an instance if a particular person select scale 5 for a particular cyberbullying activity it implies that such person seems it as more harmless when engage in such cyberbullying activity and on the hand, he seems it as more harmless when he/she is cyber victimized through the same activity by another person.

3.3 Sample


A convenience sample of 113 students enrolled in different departments of management and commerce faculty of university of Sri Jayewardenepura participated in the study. Out of the total participants 69% was males and 31% was females.

3.4 List of hypotheses


This study aims to explain university students’ perception of cyberbullying and cyber-victimization in terms of its relationship with their personality factors.
Within the above framework the hypotheses of the study were formulated as follows.

Hypothesis 1:
Null hypothesis (H0): There is a relationship between the attitude of cyberbullying, cyber victimization and psychoticism personality dimension.
Alternative hypothesis (H1):  There is no relationship between the attitude of cyberbullying, cyber victimization and psychoticism personality dimension.
Hypothesis 2:
Null hypothesis (H0): There is a relationship between the attitude of cyberbullying, cyber victimization and extraversion personality dimension.
Alternative hypothesis (H1):  There is no relationship between the attitude of cyberbullying, cyber victimization and extraversion personality dimension.
Hypothesis 3:
Null hypothesis (H0):  There is a relationship between the attitude of cyberbullying, cyber victimization and neuroticism personality dimension.
Alternative hypothesis (H1):  There is no relationship between the attitude of cyberbullying, cyber victimization and neuroticism personality dimension.

3.5 Data Analysis method


The data gathered during the study were analyzed using statistical package for social sciences (SPSS). Demographic data and single choice questions i.e. Yes and No questions analyzed using descriptive statistics of frequency technique. Hypothesis testing performed using person’s correlation to find out the relationship between the dependent and independent variables.






4. Data analysis

4.1 Descriptive statistics

Demographic information
The respective information for the research collected from 113 participants who enrolled in different departments of management and commerce of university of Sri Jayewardenepura irrespective of their year of study. The below tables summarizes the demographic information of participants.
Table 1 : Gender analysis of the respondents
Response
Frequency
Percent
Valid Percent
Cumulative Percent
Valid
Male
77
68%
68%
68%
Female
36
32%
32%
100%
Total
113
100%
100%
0%

Table 2 : Age Analysis of the respondents
Description
N
Minimum
Maximum
Mean
Age
113
22
24
23
Valid N (list wise)
113

As above table denotes among the total respondents 77% were males and 36% represents females. The average age of the respondents were 23 years, where minimum and maximum ages were 22 and 23years respectively.
Existing level of cyberbullying and cyber victimization
Further, descriptive analysis over data has been carried out for the purpose of identifying the existing level of cyberbullying and cyber victimization among university students in Sri Lanka .As per the findings it was noted that 47% of the respondents are victims of cyberbullying at least one occasion in their life time, where 53% were not.
Table 3 : Have you been ever cyber victimized?
Response
Frequency
Percent
Valid Percent
Valid
No
53
47%
47%
Yes
60
53%
53%
Total
113
100%
100%

In combination of the above finding it was noted that females are subjected to cyber victimization more than the males. The descriptive statistics shown in the below table provides a higher mean related to cyber victimization for females than the males.
Table 4 : Group statistics for cyber victimization on gender wise
Group Statistics
Cyber victimization
Gender
N
Mean
Male
77
0.45
Female
36
0.69

Further, the data was analyzed to find out how often the university students are subjected to cyber victimization. The results shows that, among the people who has been cyber victimized, 65% were subjected to cyber victimization  on very rare basis, 10 % rarely, 20 %  monthly and 5 % weekly. This explains that most of the students are not exposed to cyberbullying activities too often rather than on rare occasions.
Table 5 : How often have you been cyber victimized?
Response
Frequency
Percent
Valid Percent
Very rarely
39
65%
65%
Rarely
6
10%
10%
Monthly
12
20%
20%
Weekly
3
5%
5%
Total
60
100
100

Based on the gender analysis it was found that females are subjected to the cyber victimization too frequently (monthly, weekly) than the males. The below graph shows that among the respondents females were subjected cyber victimization on monthly and weekly basis where males were not. This indicates that cyberbullying activities are direct towards females on frequent basis rather than males at university level.


Frequency
 

Figure 2 : How often have you been cyber victimized?

In addition to the above findings, the data was analyzed to detect cyber bullying behaviors which have had a most impact towards cyber victimization among undergraduates. According to the results 48% were found to be cyber bullied through anonymous calling where 17% has been cyberbullied through creating fake profiles and websites.15% were cyber victims of posting their photographs or videos by someone else without their consent. Hence it is evident that most students are exposed to anonymous calling than the other cyberbullying behaviors.
Table 6 :  In which way you have been cyber victimized in most cases?
Response
Frequency
Percent
Valid Percent
Anonymous calling
29
48%
18%
Creating fake profile or web site
10
17%
32%
Spreading lies and rumors about yourself in internet
5
8%
8%
Posting photographs or video of you without consent
9
15%
32%
Sending online request for sexual intercourse
5
8%
5%
Hacking your profile
2
3%
5%
Total
60
100%
100
With respect to the involvement in cyberbullying activities by university students, it was found that among the respondents, 27% engage in cyberbullying activities where 73% were not. As per the results, it is evident that most undergraduates do not engage in cyberbullying activities.
 In addition to the above, it is important to understand that the current involvement in cyberbullying activities by university students are prevailing at a lower level.
Table 7 : Have you ever engage in cyberbullying activities?
Response
Frequency
Percent
Valid Percent
Valid
No
82
73%
73

Yes
31
27%
27

Total
113
100
100

Among the cyberbullying activities used by the undergraduates, Anonymous calls were found to be the most popular method as shown in the below table. Among the other methods creating fake profile or website were used as cyberbullying activities by 35% of the respondents who engage in cyberbullying activities.
Table 8 : Which method do you often use for cyberbullying?

Frequency
Percent
Valid Percent
Anonymous calls
20
65%
65%
Creating fake profile or website
11
35%
35%
Total
31
100%
100%

 

 

4.2 Hypothesis Testing

The correlation between the attitudes towards cyberbullying, cyber victimization and different personality factors were checked using the person correlation analysis.

4.2.1 Attitudes towards Cyberbullying/Cyber victimization in terms of Psychoticism

                      

It was examined whether there is any relationship exists between the attitudes towards cyberbullying/ cyber victimization (which is the average score for the ten indexed given under the cyberbullying activities for respondents) and personality dimension of psychoticism

Table 9 : Correlation between attitudes towards cyberbullying/cyber victimization and psychoticism


Psychoticism
Cyberbullying/Cyber victimization
Pearson Correlation
0.559**

Sig. (2-tailed)
0.000

N
113.00




** Correlation is significant at the 0.01 level (2 - tailed).
* Correlation is significant at the 0.05 level (2 - tailed).


The findings elicits that there is a moderate positive correlation (correlation = 0.559, p <0.05) between the attitudes towards cyberbullying/ cyber victimization and the personality dimension of psychoticism. In other words the outcomes of the test shows that cyberbullying/cyber victimization is perceived as more harmless by the persons as the level of psychoticism possessed by them increases.

In the above analysis, attitudes towards cyberbullying, cyber victimization has been considered in a more holistic manner rather than considering the attitudes towards individual cyberbullying activities. Further, In order to examine relationships between the attitudes towards individual cyberbullying activities given under the cyberbullying index, a person correlation analysis was carried out between the attitudes of individual cyberbullying activities and psychotic personality dimension.

Table 10 : Correlation between attitude towards individual cyberbullying activities and psychoticism



Cyberbullying activity


Psychoticism
Anonymous Callings

Pearson Correlation
0.690**


Sig. (2-tailed)
0.000


N
113




Creating fake profile or web page

Pearson Correlation
0.542**


Sig. (2-tailed)
0.000


N
113




Hacking someone’s profile

Pearson Correlation
0.434**


Sig. (2-tailed)
0.000


N
113




Sending online requests to sexual intercourse

Pearson Correlation
0.351**


Sig. (2-tailed)
0.000


N
113




Harassing or threatening statements devoted to a partner in a romantic relationship
Pearson Correlation
0.276**


Sig. (2-tailed)
0.003


N
113





** Correlation is significant at the 0.01 level (2 - tailed).
* Correlation is significant at the 0.05 level (2 - tailed).

Based on the outcomes of the analysis it was found that a strong positive co – relation exists between the attitudes towards cyber bullying activity “anonymous calling” and psychoticism. When the level of psychoticism increases, anonymous calls given to other people seems harmless (Correlation = 0.69, p<0.05).
Further, a moderated positive co – relation observed between creating “fake profiles or web page” and being psychoticism (Correlation = 0.54, p<0.05).and “hacking’s someone profile” (Correlation = 0.43, p<0.05) and being psychoticism. In other words creating fake profile or web page and hacking someone’s profile considered to be harmless by a student when the level of psychoticism possess by such student tend to increase. In addition to that a weak positive relationship found between “sending online requests to sexual intercourse” and being psychoticism (Correlation = 0.35, p<0.05) and “harassing or threatening statements devoted to a partner in a romantic relationship” (Correlation = 0.28, p<0.05) and being psychoticism. Undergraduates perceive online request for sexual intercourse as well as harassing and threatening statements devoted a partner in a romantic relationship as more harmless with the increase in psychoticism levels. The dimension of psychoticism personality reflects traits such as non-conformity, tough – minded, willingness to take risks, unconcerned about the rights of other people and welfare of others and tendency towards anti-social behaviors. The most of the traits which are attributed with psychoticism personality is negative factors which lead to the initiation of negative activities. As above shown, when the level of psychoticism increases of a person, he or she perceive certain cyberbullying activities as harmless and such perception may cause them to engage cyberbullying behaviors.
Expect for above cyberbullying behaviors, no obvious co – relation can be found between remaining cyberbullying activities (Sending spam mails and viruses, sending mean ,Vulgar or threatening messages, spreading lies or rumors about someone else, Post photographs and videos of someone without his consent, Fake statute or place statements) and psychoticism.
Table 11 : Correlation between attitude towards individual cyberbullying activities and psychoticism
Cyberbullying activity


Psychoticism
Sending spam mails and viruses

Pearson Correlation
0.192


Sig. (2-tailed)
0.061


N
113




Sending mean, Vulgar or threatening messages

Pearson Correlation
0.066


Sig. (2-tailed)
0.489


N
113




Spreading lies or rumors about some else

Pearson Correlation
0.152


Sig. (2-tailed)
0.108


N
113




Post photographs or videos of someone without his consent
Pearson Correlation
-0.021


Sig. (2-tailed)
0.822


N
113




 Fake statue or place statements

Pearson Correlation
0.107


Sig. (2-tailed)
0.261


N
113





** Correlation is significant at the 0.01 level (2 - tailed).
* Correlation is significant at the 0.05 level (2 - tailed).


 

4.2.1 Attitudes towards Cyberbullying, Cyber victimization in terms of Extraversion

Person correlation analysis was carried out in order to identify whether any relationship exists between the extraversion personality dimension and attitudes towards cyberbullying and cyber victimization.
Table 12 : Correlation between attitudes towards cyberbullying/cyber victimization and extraversion




Extraversion
Cyberbullying
Pearson Correlation
-    0.221**

Sig. (2-tailed)
0.019

N
113



** Correlation is significant at the 0.01 level (2 - tailed).
* Correlation is significant at the 0.05 level (2 - tailed).

The results shows that a weak negative correlation (correlation = - 0.221, p<0.05) exists between the attitudes towards cyberbullying, cyber-victimization and extraversion personality. That is when the level of extraversion increases, the cyberbullying activities are seem as harmful. Hence an undergraduate who tend to have a high level of extraversion personality dimensions have a less probability of engaging in cyberbullying activities.
The attitudes towards each individual cyberbullying activity, categorized under the cyberbullying index were also evaluated in terms of extraversion to gather more information regarding the relationship exists between the attitudes of cyberbullying activities and personality.
Table 13 : Correlation between attitude towards individual cyberbullying activities and extraversion
Cyberbullying activity

Extraversion
Creating fake profile or web page
Pearson Correlation
-.404**

Sig. (2-tailed)
0

N
113



Sending online requests to sexual intercourse
Pearson Correlation
-.356**

Sig. (2-tailed)
0

N
113



Anonymous Callings
Pearson Correlation
-.238*

Sig. (2-tailed)
0.011

N
113



** Correlation is significant at the 0.01 level (2 - tailed).
* Correlation is significant at the 0.05 level (2 - tailed).

 The outcomes of the analysis shows a moderate negative relationship between “creating fake profile or web page” and extraversion (Correlation = -.404, p <0.05).In other words this emphasizes the fact that when the level of extraversion increases, creating fake profile or webpage perceive as harmful. A weak negative correlation was found between “sending online requests to sexual intercourse” and being extraversion (Correlation = -.356, p <0.05) and “anonymous callings” and being extraversion (Correlation = -0.238, p <0.05). For the same group of people, in this case undergraduates, as the level of extraversion increases the cyberbullying behaviors, sending online requests to sexual intercourse and anonymous callings seem harmful. The extraversion personality, as express associated with traits such as high sociability, impulsive, like for excitement, talkative, active and expressive. Therefor it is evident that, when a person possess more extraversion traits rather than other traits associated with different personality dimensions, a negative attitude towards is directed towards the anonymous cyberbullying activities such as giving anonymous calls, creating fake profiles or webpages and sending online request for sexual intercourse.


There were no significant correlation found between the other cyberbullying activities used for the research expect for the above and extraversion personality dimension. As given in the below table in each and every case the null hypothesis, which is there is a relationship between the extraversion personality and perception of cyberbullying is rejected as of significant level (p) is greater than 0.05. However there is a relationship between user perceptions of cyberbullying activities and personality for certain cyberbullying activities as above-mentioned.

Table 14 : Correlation between attitude towards individual cyberbullying activities and extraversion

Cyberbullying activity

Extraversion
Sending spam mails and viruses
Pearson Correlation
-0.036

Sig. (2-tailed)
0.708

N
113



Sending mean, Vulgar or threatening messages
Pearson Correlation
0.038

Sig. (2-tailed)
0.688

N
113



Spreading lies or rumors about some else
Pearson Correlation
0.067

Sig. (2-tailed)
0.478

N
113



Post photographs or videos of someone without his consent
Pearson Correlation
-0.052

Sig. (2-tailed)
0.587

N
113



Hacking someone’s profile
Pearson Correlation
-0.149

Sig. (2-tailed)
0.115

N
113



Harassing or threatening statements devoted to a partner in a romantic relationship
Pearson Correlation
0.117

Sig. (2-tailed)
0.218

N
113



 Fake statue or place statements
Pearson Correlation
0.081

Sig. (2-tailed)
0.393

N
113



** Correlation is significant at the 0.01 level (2 - tailed).
* Correlation is significant at the 0.05 level (2 - tailed).


4.2.3 Attitudes towards Cyberbullying/Cyber victimization in terms of Neuroticism

 According to person correlation analysis, no relationship can be examined between attitudes towards cyberbullying (perception in a holistic view, the aggregate of perception of individual cyberbullying activities) and neuroticism. As the below table provides, the significance level is above 0.05 (p> 0.05) with respect to correlation analysis. This indicate that the obtained relationship is just due to chance rather than real. Therefor the null hypothesis, that is there is a relationship between the attitudes towards cyberbullying/cyber victimization and neuroticism personality dimension cannot be accepted in this case.
Table 15 : Correlation between attitudes towards cyberbullying/cyber victimization and Neuroticism


Neuroticism
Cyberbullying
Pearson Correlation 
0.032

Sig. (2-tailed)
0.733

N
113



** Correlation is significant at the 0.01 level (2 - tailed).
* Correlation is significant at the 0.05 level (2 - tailed).



 

 

 





5. Conclusion

Cyberbullying seems to be a type of bullying which is becoming increasingly prevalent, as the use of technology increases by young people such as undergraduates. Previous studies with respect to cyberbullying has made various findings including an identification of relationship between the perceptions of cyberbullying, cyber victimization and personality factors of students.
The primary questions of interest in this study was whether the attitudes towards cyberbullying, cyber victimization depend on the personality factors of undergraduates. The personality of the undergraduates were considered under three dimensions of personality as explained in Eysenck’s personality theory. The findings of the research correlated with previous findings, and shows that there is a relationship between the attitude towards cyberbullying and personality dimensions of psychoticism and extraversion. As per the findings, when level of the psychoticism possessed by an individual increases such person tend to see cyberbullying, cyber victimization as harmless and therefor, may engage in those activities. On the other hand there is a weak negative correlation found between the attitudes towards cyberbullying and extraversion which indicates that people tend to see cyberbullying, cyber victimization as harmful when the level of extraversion increases.
In addition to that the existing level of cyberbullying and cyber victimization levels among university students has been analyzed and found that undergraduates are engage in cyberbullying and use anonymous calling, creating fake profile and web pages as cyberbullying behaviors. Further, it was found that undergraduates are subjected to cyber victimization on rare basis and cyberbullying activities are more frequently directed towards females rather than males.
The main implication arise from the present findings is that the young internet users are not aware of the level of endangerment of their online behaviors and its effects on other people’s lives. The nature and increasing extent of cyberbullying obviously raise issues about how to deal with it. Future research could highlight these areas and provide a foundation to develop suitable strategies to change attitude of undergraduates towards cyberbullying and cyber victimization in order to reduce intensity of such behaviors among the university students in Sri Lanka as well as in other countries.



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