Cyberbullying amongst teenagers is a major issue, due to their increased use of social media. Previous literature surveys have not covered in detail cyberbullying studies in 2014 and cyberbullying risk factors. This literature review explores cyberbullying research areas, such as the use of social media by teenagers, themes from cyberbullying studies carried out since 2012, cyberbullying risk factors and how teenagers deal with cyberbullying incidents. Current cyberbullying studies highlighted issues such as the high volume of cyberbullying incidents in school, increased personal information disclosure on social media, peer influences and the safety of the school environment for both bully and victim. Studies focusing on cyberbullying risk factors raised debates on factors such as whether males or females are most likely to be victims/cyberbullies. Tackling cyberbullying requires awareness, education for actors involved in cyberbullying, development of software to detect cyberbullying and including actors in the monitoring of cyberbullying.
The popularity of social media, especially online social networks, has led to the availability of potentially rich sources of data, which researchers can use for extraction via automated means. However, the process of automated extraction from user profiles results in a variety of ethical considerations and challenges for researchers. This paper examines this question further, surveying researchers to gain information regarding their experiences of, and thoughts about, the challenges to ethical research practices associated with automated extraction. Results indicated that, in comparison with two or three years ago researchers are more aware of ethical research practices, and are implementing them into their studies. However, areas such as informed consent suffer from a lack of implementation in research studies. This is due to various factors, such as social media ‘Terms of Service’, challenges with large volumes of data, how far to take informed consent, and the definition of online informed consent. Researchers face a range of issues from digital rights to clear guidance. This paper discusses the findings of the survey questionnaire and explores how the findings affect researchers.
Cyberbullying amongst teenagers is a major issue, due to their increased use of social media. Previous literature surveys have not covered in detail cyberbullying studies in 2014 and cyberbullying risk factors. This literature review explores cyberbullying research areas, such as the use of social media by teenagers, themes from cyberbullying studies carried out since 2012, cyberbullying risk factors and how teenagers deal with cyberbullying incidents. Current cyberbullying studies highlighted issues such as the high volume of cyberbullying incidents in school, increased personal information disclosure on social media, peer influences and the safety of the school environment for both bully and victim. Studies focusing on cyberbullying risk factors raised debates on factors such as whether males or females are most likely to be victims/cyberbullies. Tackling cyberbullying requires awareness, education for actors involved in cyberbullying, development of software to detect cyberbullying and including actors in the monitoring of cyberbullying.
With the increased use of online social networking sites, data retrieval from social networking profiles is becoming a major tool for business. What makes social networking profile data different is its semi-structured format. The structure and the presentation of profile data change all the time. In social networking there is a lack of research into automated data retrieval from semi-structured web pages. Our approach is based on automated retrieval of the profile's attributes and list of top friends from MySpace by examining and extracting the relevant tokens in the parsed HTML code. The tokens were placed into a repository and Breadth First Search algorithm was used. The approach was implemented and tested with a profile which resulted in over 800 top friend profiles and attributes being extracted. This implementation process highlighted that MySpace profile structures vary depending on profile type and the way in which the user has customised the profile.
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