Academic literature on the topic 'Cyber bullying'

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Journal articles on the topic "Cyber bullying"

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Kusumawaty, Ira, Yunike Yunike, and Sujati Ni Ketut. "Relationship between Assertive Communication and Cyber-​​bullying in Adolescents." Jurnal Kedokteran Brawijaya 31, no. 4 (August 31, 2021): 7. http://dx.doi.org/10.21776/ub.jkb.2021.031.04.7.

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<p>The mandatory use of online facilities during the Covid-19 period has a great opportunity to increase the problem of cyber bullying at all levels of education. The concept of assertiveness cannot be separated from cyber bullying and it is known that communicating assertively can prevent cyber bullying even though it is difficult to implement. The complexity of the psychological problems of victims of cyber bullying requires comprehensive management. This analytical descriptive study with a cross sectional approach aims to analyze the relationship between assertive communication and cyber bullying by involving 151 student participants and high school students in Palembang. The data was collected using an assertive scale and a cyber-bullying scale, which was distributed online using a Google form. From Kendall's tau-b statistical test, it is known that there is a relationship between assertive communication and cyber bullying (p=0.026). It is recommended that the education sector implement self-awareness, empathy, assertive communication and conflict resolution training to prevent the increasing number of cyber bullying's victim. The academic and managerial sectors are expected to facilitate promotion through educational media about using online facilities intelligently by respecting human dignity.</p>
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Buccoliero, Elena. "Cyber-bullying." MINORIGIUSTIZIA, no. 4 (March 2009): 354–57. http://dx.doi.org/10.3280/mg2008-004032.

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Peker, Adem, and Furkan Kasikci. "Do Positivity and Sensitivity to Cyber-Bullying Decrease Cyber-Bullying?" Acta Educationis Generalis 12, no. 2 (June 1, 2022): 90–111. http://dx.doi.org/10.2478/atd-2022-0016.

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Abstract Introduction: The use of social media tools is increasing day by day. In addition to its positive use, social media tools are also used in the virtual environment to harm others. This harmful use is noted as cyber-bullying. Determining the factors affecting cyber-bullying is of great importance in terms of contributing to intervention studies. This study aims to examine the moderate role of positivity and sensitivity towards cyber-bullying between cyber-victimization and cyber-bullying. Methods: The study was carried out with 342 university students, who approved voluntary participation in the process. The students who voluntarily participated in the research were 239 females (69.9%) and 103 males (30.1%), who were between 18 and 28 years old. In the data collection process, the revised cyber-bullying inventory, positivity scale, and personal information forms were used. In this research process, the moderating role of positivity and sensitivity (M) in the relationship between cyber-victimization (X) and cyber-bullying (Y) was investigated. Results: As a result of the research, it was found that 35% of the participants were exposed to cyber-bullying and 1.4% were engaging in cyber-bullying. It was also found that there was a moderate positive relationship between cyber-victimization and cyber-bullying. In addition, the results showed that there is a negative relationship between positivity and sensitivity to cyber-bullying and cyber-victimization, and cyber-bullying. As a result of the analysis, it was observed that positivity and sensitivity affected the relationship between cyber-victimization and cyber-bullying. The results indicate that a decrease in positivity and sensitivity results in cyber-bullying behaviour, whereas an increase in positivity and sensitivity decreases cyber-bullying behavior. Discussion: The concept of positivity can be said to enable individuals exposed to cyber-bullying to create alternative emotions and create alternative strategies for the problem they are experiencing. In addition, the high level of positivity of the individual experiencing cyber-victimization can be thought to help develop and maintain friendship relations by improving their psychological resources. As a result, it can be stated that the probability of cyber-bullying decreases. In another result of the research, it has been revealed that the sensitivity between exposure to cyber-bullying and cyber-bullying has a moderating effect on cyber-bullying. When the sensitivity to cyber-bullying is low, it is observed that the effect of cyber-victimization on cyber-bullying is further increased. When there is a high sensitivity to cyberbullying, the impact of cyber-victimization on cyber-bullying is increasing very little and this effect is observed to be less powerful. Limitations: The current study has also some limitations. First, the study was carried out as a cross-sectional study. A longitudinal study can be conducted to obtain more detailed results about the moderating effect. Second, positivity was used as an indicator of well-being. Therefore, it is essential to be careful while generalizing the results; different scales related to psychological well-being can be used. Third, the current study just used scales to evaluate the students’ self-report; for this reason, the choice of mixed research approaches can offer a wide perspective by taking the opinions of different individuals such as friends and parents of individuals. Conclusions: The findings provide evidence for reducing cyberbullying. In addition, the results provide useful information in the preparation of cyberbullying intervention programs.
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Lee, Yi Chih, and Wei-Li Wu. "Factors in cyber bullying: the attitude-social influence-efficacy model." Anales de Psicología 34, no. 2 (April 10, 2018): 324. http://dx.doi.org/10.6018/analesps.34.2.295411.

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<p>This study examines the correlation between risk perception, knowledge, social influence, self-efficacy, and cyber bullying behavior from the perspective of the attitude-social influence-efficacy model. The samples in this survey are adolescents who have had cyber bullying behavior or have witnessed their peers’ cyber bullying behavior. The results showed that attitude towards cyber bullying affected cyber bullying intention, and that intention also influenced cyber bullying behavior. Social influence also had an impact on cyber bullying intention and cyber bullying behavior. In fact, intention was a mediator between attitude and behavior, as well as between social influence and behavior. </p>
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Popovic-Citic, Branislava. "Cyber space bullying." Temida 12, no. 3 (2009): 43–62. http://dx.doi.org/10.2298/tem0903043p.

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Cyber space bullying is a relatively new phenomenon that has received increased attention by scientists, researchers and practitioners in recent years. It is usually defined as an intentionally and repeatedly expression of aggression towards other people through information and communication technologies. Cyber space bullying is characterized by all the primary characteristics of traditional bullying and some specifics ones that clearly differ it from other forms of bullying. In addition to the analysis of characteristics and specifics of cyber space bullying, the paper describes the basic forms of cyber space bullying (flaming, harassment, denigration, impersonation, outing, trickery, exclusion, stalking and happy slapping), as well as, the types of cyber space bullies (vengeful angel, power-hungry, revenge of the nerd, mean girls and inadvertent). The main goal of this paper is to provide initial theoretical guidelines for designing future empirical research on the complex phenomenon of cyber space bullying.
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Papatsimouli, Maria, Stavroula Tavoultzidou, Vaggelis Saprikis, Lazaros Lazaridis, Eleni Michailidi, Ioannis Skordas, and George F. Fragulis. "Cyberbullying and Traditional Bullying in Greece: An Empirical Study." SHS Web of Conferences 102 (2021): 04012. http://dx.doi.org/10.1051/shsconf/202110204012.

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The use of Internet technology has changed the way people interact rendering face-to face and verbal communication a trend of the past. Thus, a new world has been created for young people, who send emails, visit websites, use webcams, chat rooms and instant messaging through social media for communication. As a result, a new type of bullying, cyber bullying has emerged. The present study aims to investigate the extent of cyber bullying in Greece in terms of: a) gender and cyber bullying, b) hours spent on line and cyber bullying, c) cyber bullying and traditional bullying victims and d) cyber bullying victims and family relations. The sample consisted of 466 participants, 27% of which (N=128) were less than 18 years old. A standardized questionnaire was formulated for data collection and Chisquare, statistical test was used to test the research hypotheses formulated. The results revealed significant theoretical and practical implications, as the majority of the research questions confirmed the relationship between cyber bullying and traditional bullying victims, as well as cyber bullying victims and family relations.
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YEŞİLYURT, Ferahim, Nihan ARSLAN, and Serhat ARSLAN. "Cyber Bullying and Self-Disclosure: The predicting role of Cyber Bullying." Malaysian Online Journal of Educational Technology 9, no. 1 (December 28, 2020): 19–25. http://dx.doi.org/10.17220/mojet.2021.9.1.239.

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The research aims to examine the relationship between cyber bullying and self-disclosure. Participants of the study were 480 high school students who answered the scales. According to the results, the dimensions of cyber bullying; verbal cyber-aggression and exclusion, impersonation and visual-sexual cyber-aggression are negatively related to self-disclosure. Stepwise multiple regression analysis results showed that dimensions of cyber bullying affected self-disclosure and verbal cyber-aggression and exclusion was a strong predictor of self-disclosure. The findings of the research were discussed within the framework of literature.
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Brewer, Briana, Amelia Cave, Anne Massey, Anne Vurdelja, and Jeanne Freeman. "Cyber Bullying Among Female College Students." Californian Journal of Health Promotion 12, no. 1 (May 1, 2014): 40–51. http://dx.doi.org/10.32398/cjhp.v12i1.1554.

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Background and Purpose: Cyber bullying is often assumed to only occur in grades K-12, yet reports of such behaviors on college campuses and in the workplace are increasing. The U.S. Federal Government has recently called for policy development regarding cyber bullying to occur in higher education. This study explored perceptions of frequency and severity of cyber bullying among college students. Consequences of cyber bullying and the need for resources on college campuses were also explored. Methods: In 2011, a total of 18 undergraduate women participated in three focus groups, each lasting approximately 75 minutes. Results: Emergent themes revealed participants do not consider cyber bullying to be a significant issue currently, but likely will increase in prevalence among the college population. Many participants were familiar with the cyber bullying term but were unaware of its definition, nor could they provide examples. Further, the majority of participants were unaware of resources for victims of cyber bullying. Implications: Findings from this study reveal the need for educational programs geared toward college students about the meaning and consequences of cyber bullying. Further, resources for victims of cyber bullying should be made available on college campuses.
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Makori, Andrew, and Peace Agufana. "Cyber Bulling Among Learners in Higher Educational Institutions in Sub-Saharan Africa: Examining Challenges and Possible Mitigations." Higher Education Studies 10, no. 2 (March 16, 2020): 53. http://dx.doi.org/10.5539/hes.v10n2p53.

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Proliferation of technology in the form of internet, mobile phone and social media access and usage is exposing many youths to cyber bullying activities. Cyber bullying activities are viewed as negative consequences of growth and development in technology. Many of the victims of cyber bullying include those that have been trapped in the technology through obsessive and addictive behaviours. The study was conducted in order to understand cyber bullying in educational institutions in Sub- Saharan Africa. The study is guided by the following five objectives: understanding cyber bullying and its manifestations among learners in education institutions; explore contributing factors in education institutions; determine the prevalence of cyber bullying in education institutions; examine the effects of cyber bullying among learners in education institutions and determine ways of dealing with cyber bullying among learners in education institution. The study adopted a case study approach and involved 123 respondents with a response rate of 64% (n=192). A survey questionnaire was used to collect data. Resulting data was analysed using statistical package for social sciences (SPSS). Evidence suggests that cyber bullying has serious psychological harm on the victims some leading to suicidal thoughts and suicide, among others. The study concludes that the effects of cyber bullying are far reaching and devastating to the learners and the institutional safety as well. The study recommends that more research and awareness are needed in an effort to control this menace and make outreaching and learning institutions safe.
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Parveen, Fouzia, Abid Shahzad, and Sobia Altaf. "Prevalence of Cyber Bullying and its Effect on Adolescents: A Literature Review." Global Regional Review IV, no. IV (December 31, 2019): 274–80. http://dx.doi.org/10.31703/grr.2019(iv-iv).30.

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While forms of traditional bullying have been declining over the past two decades, cyber bullying has emerged as a modern form of bullying in recent times. Previous research studies have not been developed much on the issue of cyber bullying. The current study reviews the relevant research studies as the excessive usage of social media and by young people and different themes have been carried out from the help of the existing literature. The present study has synthesised current literature on: i) prevalence of cyber bullying among adolescents ii) huge level of cyber bullying occurrences in educational institutions iii) people who are more prone to be the victims and perpetrators iv) effects of cyber bullying on adolescence v) preventive measures for the wellbeing of Pakistani adolescents. In this article, the researcher reviews the literature related to cyber bullying conducted between the years from 2000 to 2019.
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Dissertations / Theses on the topic "Cyber bullying"

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Wong, Yee Man. "Understanding cyber-bullying : an empirical investigation." HKBU Institutional Repository, 2013. https://repository.hkbu.edu.hk/etd_ra/1541.

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Archer, Megan Marie. "The “Stop Cyber Bullying” Media Campaign: A Qualitative Study of Cyber Bullying and Its Implications at Marietta Middle School." Marietta College / OhioLINK, 2012. http://rave.ohiolink.edu/etdc/view?acc_num=marietta1336674176.

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Rafferty, Rebecca S. "Motvations Behind Cyber Bullying and Online Aggression: Cyber Sanctions, Dominance, and Trolling Online." Ohio University / OhioLINK, 2011. http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1306953934.

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Falconer, Sarah E. "Reality Bytes : P, characteristics of bullying in the cyber and non-cyber environments." Thesis, Edith Cowan University, Research Online, Perth, Western Australia, 2010. https://ro.ecu.edu.au/theses/363.

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Non-cyber bullying is a familiar, intricate and pervasive problem among school-aged youth. However, it was not until the 1970’s that attempts were made to systematically define and research the phenomenon (Olweus, 1978; Olweus, Limber, & Mihalic, 1999). Since this time, non-cyber bullying has been thrust on the international public health agenda with many researchers attempting to define and investigate the prevalence of the behaviour (Olweus, 1991; Rigby & Slee, 1991). Significant prevalence estimates contributed to the consequent investigation of individual behavioural attributes that help explain the phenomenon. However, much of this research neglected the social and environmental influences related to non-cyber bullying behaviour. Further, forming a unified definition to conceptualise the behaviour has proven a difficult task due to variances in criteria and semantics. Consolidating the classification and attributes of the non-cyber bullying definition and ensuring it is understood by all (i.e. parents, teachers, students and the wider community) becomes as essential component in accurately interpreting the incidence and prevalence of the behaviour (Vaillancourt, McDougall, Hymel, Krygsman, Millar, Stiver et al., 2008). The emergence of digital communication technologies, including mobile phones and the Internet, provide a new medium from which students can bully others. Known as cyber bullying, this type of bullying is described as an electronic form of traditional bullying behaviour (Kowalski, Limber, & Agaston, 2008) rather than a new type (Anderson & Strum, 2007). The definition and semantic ambiguities present in the non-cyber bullying definition are further compounded by the complexities present in the cyber environment, as the behaviour is no longer bound to physical space and time. Further, research-to-date has focused largely on the extent and nature of cyber bullying and the general characteristics of those who engage in it, with little emphasis being placed on the mechanisms and processes for preventing and dealing with it. This thesis presents qualitative data collected by the Environment of Bullying Study (EBS) - a sub-study of the Cyber Bullying Prevention Project (CBPP), to discover what it is about the cyber and non-cyber environments that impacts upon the prevalence, types, harms and possible responses to bullying. The CBPP was a two-year formative study into cyber bullying involving Year 4, 6 and 10 students from six schools throughout Western Australia.
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Hutchinson, Sheonti. "What role does technology play in cyber bullying." UOIT, 2009. http://hdl.handle.net/10155/51.

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Williams, Alyssa. "Cyber bullying : an evaluation of Florida's recent enactment." Honors in the Major Thesis, University of Central Florida, 2010. http://digital.library.ucf.edu/cdm/ref/collection/ETH/id/1523.

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This item is only available in print in the UCF Libraries. If this is your Honors Thesis, you can help us make it available online for use by researchers around the world by following the instructions on the distribution consent form at http://library.ucf.edu/Systems/DigitalInitiatives/DigitalCollections/InternetDistributionConsentAgreementForm.pdf You may also contact the project coordinator, Kerri Bottorff, at kerri.bottorff@ucf.edu for more information.
Bachelors
Health and Public Affairs
English
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Dinakar, Karthik. "Ruminati : modeling the detection of textual cyber-bullying." Thesis, Massachusetts Institute of Technology, 2012. http://hdl.handle.net/1721.1/76572.

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Thesis (S.M.)--Massachusetts Institute of Technology, School of Architecture and Planning, Program in Media Arts and Sciences, 2012.
Cataloged from PDF version of thesis.
Includes bibliographical references (p. 91-96).
The scourge of cyber-bullying has received widespread attention at all levels of society including parents, educators, adolescents, social scientists, psychiatrists and policy makers at the highest echelons of power. Cyber-bullying and it's complex intermingling with traditional bullying has been shown to have a deeply negative impact on both the bully as well as the victim. We hypothesize that tackling cyber-bullying entails two parts - detection and user-interaction strategies for effective mitigation. In this thesis, we investigate the problem of detecting textual cyber-bullying. A companion thesis by Birago Jones will investigate use-interaction strategies. In this thesis, we explore mechanisms to tackle the problem of textual cyber-bullying using computational empathy - a combination of detection and intervention techniques informed by scoping the social parameters that underlie the problem as well as a socio-linguistic treatment of the underlying socially mediated communication on the web. We begin by presenting a qualitative analysis of textual cyber-bullying based on data gathered from two major social networking websites and decompose the problem of detection into sub-problems. I then present Ruminati - a society of models of models involving supervised learning, commonsense reasoning and probabilistic topic modeling to tackle each sub-problem.
by Karthik Dinakar.
S.M.
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Lal, Shubhangi S. "Designing Interventions for Cyber-bullying: A Design Thinking Approach." University of Cincinnati / OhioLINK, 2021. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1627666831641494.

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Sedlar, Aaron Edward. "The Effects of Experienced Cyber-Aggression on Subsequent Aggressive Behavior among College Students." Bowling Green State University / OhioLINK, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=bgsu1551890210628806.

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Bradbury, Stacey Lynn. "Adolescent Coping Strategies for In-person Bullying and Cyberbullying." Bowling Green State University / OhioLINK, 2013. http://rave.ohiolink.edu/etdc/view?acc_num=bgsu1370276537.

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Books on the topic "Cyber bullying"

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Cyber bullying. Chicago, Ill: Heinemann Library, 2012.

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Kowalski, Robin M., Susan P. Limber, and Patricia W. Agatston, eds. Cyber Bullying. Oxford, UK: Blackwell Publishing Ltd, 2008. http://dx.doi.org/10.1002/9780470694176.

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Trolley, Barbara. Cyber kids, cyber bullying, cyber balance. Thousand Oaks, Calif: Corwin Press, 2010.

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Constance, Hanel, ed. Cyber kids, cyber bullying, cyber balance. Thousand Oaks, Calif: Corwin Press, 2010.

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Kowalski, Robin M. Cyber bullying: Bullying in the digital age. Malden, MA: Blackwell, 2008.

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P, Colt James, and Meyer Nancy B. B, eds. Cyber bullying: Protecting kids and adults from online bullies. Westport, CT: Praeger Publishers, 2009.

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M, Kowalski Robin, and Agatston Patricia W, eds. Cyber bullying: A prevention curriculum for grades 6-12. Center City, MN: Hazelden Foundation, 2008.

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M, Kowalski Robin, and Agatston Patricia W, eds. Cyber Bullying: A prevention curriculum for grades 3-5. Center City, Minn: Hazelden, 2009.

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Donna, McCaw, and Hemphill Leaunda S, eds. Responding to cyber bullying: An action tool for school leaders. Thousand Oaks, Calif: Corwin Press, 2011.

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illustrator, Southerland Taylor, ed. Savvy Cyber Kids at home: The defeat of the cyber bully. Atlanta, GA: Savvy Cyber Kids, 2014.

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Book chapters on the topic "Cyber bullying"

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Pabian, Sara, and Heidi Vandebosch. "(Cyber)bullying Perpetration as an Impulsive, Angry Reaction Following (Cyber)bullying Victimisation?" In Youth 2.0: Social Media and Adolescence, 193–209. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-27893-3_11.

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Lapierre, Kiana, and Andrew V. Dane. "Sex Differences in Cyber Bullying." In Encyclopedia of Evolutionary Psychological Science, 1–5. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-16999-6_3650-1.

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Mukhopadhyay, Debajyoti, Kirti Mishra, Kriti Mishra, and Laxmi Tiwari. "Cyber Bullying Detection Based on Twitter Dataset." In Machine Learning for Predictive Analysis, 87–94. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-7106-0_9.

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Nahar, Vinita, Sayan Unankard, Xue Li, and Chaoyi Pang. "Sentiment Analysis for Effective Detection of Cyber Bullying." In Web Technologies and Applications, 767–74. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-29253-8_75.

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Ciaburro, Giuseppe, Gino Iannace, and Virginia Puyana-Romero. "Sentiment Analysis-Based Method to Prevent Cyber Bullying." In Proceeding of 2021 International Conference on Wireless Communications, Networking and Applications, 721–35. Singapore: Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-2456-9_73.

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AbstractCyberbullying is spreading in social networks frequented by young people. Its rapid spread is due to a series of specific preconditions due to the nature of the context within which the cyberbully finds himself operating. Anonymity, the absence of space-time limits, and the lack of responsibility of the individual are the strengths on which the actions of bullies are based. Automatically identifying acts of cyberbullying and social networks can help in setting up support policies for victims. In this study a method based on sentiment analysis is proposed with the use of recurrent neural networks for the prevention of cyberbullying acts in social networks.
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Serin, Hüseyin. "Teachers’ and Educational Administrators’ Opinions About Adolescents’ Cyber Bullying/Cyber-Victimization Experiences." In Chaos, Complexity and Leadership 2017, 399–410. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-89875-9_33.

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Shetty, Jyothi, K. N. Chaithali, Aditi M. Shetty, B. Varsha, and V. Puthran. "Cyber-Bullying Detection: A Comparative Analysis of Twitter Data." In Advances in Intelligent Systems and Computing, 841–55. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-3514-7_62.

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Cox, Tom, Magda Marczak, Kevin Teoh, and Juliet Hassard. "New Directions in Intervention: Cyber-Bullying, Schools and Teachers." In Aligning Perspectives on Health, Safety and Well-Being, 411–35. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-53053-6_17.

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Nygaard, Taylor. "Queer Youth Cyber-Bullying and Policing the Self-Brand." In Queer Youth and Media Cultures, 182–96. London: Palgrave Macmillan UK, 2014. http://dx.doi.org/10.1057/9781137383556_13.

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Nalini, K., and L. Jaba Sheela. "Classification of Tweets Using Text Classifier to Detect Cyber Bullying." In Advances in Intelligent Systems and Computing, 637–45. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-13731-5_69.

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Conference papers on the topic "Cyber bullying"

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Sincek, Daniela. "GENDER DIFFERENCES IN CYBER-BULLYING." In SGEM 2014 Scientific Conference on PSYCHOLOGY AND PSYCHIATRY, SOCIOLOGY AND HEALTHCARE, EDUCATION. Stef92 Technology, 2014. http://dx.doi.org/10.5593/sgemsocial2014/b11/s1.026.

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Siddhartha, K., K. Raj Kumar, K. Jayanth Varma, M. Amogh, and Mamatha Samson. "Cyber Bullying Detection Using Machine Learning." In 2022 2nd Asian Conference on Innovation in Technology (ASIANCON). IEEE, 2022. http://dx.doi.org/10.1109/asiancon55314.2022.9909201.

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S, Laurensius, Danel Situngkir, Rianda Putri, and Rahmat Fauzi. "Cyber Bullying Against Children in Indonesia." In International Conference on Social Sciences, Humanities, Economics and Law. EAI, 2019. http://dx.doi.org/10.4108/eai.5-9-2018.2281372.

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Nakano, Tadashi, Tatsuya Suda, Yutaka Okaie, and Michael John Moore. "Analysis of Cyber Aggression and Cyber-Bullying in Social Networking." In 2016 IEEE Tenth International Conference on Semantic Computing (ICSC). IEEE, 2016. http://dx.doi.org/10.1109/icsc.2016.111.

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Di Capua, Michele, Emanuel Di Nardo, and Alfredo Petrosino. "Unsupervised cyber bullying detection in social networks." In 2016 23rd International Conference on Pattern Recognition (ICPR). IEEE, 2016. http://dx.doi.org/10.1109/icpr.2016.7899672.

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Lal, Shubhangi S., and Annu Sible Prabhakar. "Toward Designing an Intervention for Cyber-bullying." In SIGITE '20: The 21st Annual Conference on Information Technology Education. New York, NY, USA: ACM, 2020. http://dx.doi.org/10.1145/3368308.3415435.

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Pawar, Varsha, Deepa V. Jose, and Ashwini Patil. "Explainable AI Method for Cyber bullying Detection." In 2022 IEEE 2nd International Conference on Mobile Networks and Wireless Communications (ICMNWC). IEEE, 2022. http://dx.doi.org/10.1109/icmnwc56175.2022.10031652.

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Aponte, Diego Fernando Gutierrez, and Deborah Richards. "Managing cyber-bullying in online educational virtual worlds." In The 9th Australasian Conference. New York, New York, USA: ACM Press, 2013. http://dx.doi.org/10.1145/2513002.2513006.

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Huang, Qianjia, Vivek Kumar Singh, and Pradeep Kumar Atrey. "Cyber Bullying Detection Using Social and Textual Analysis." In the 3rd International Workshop. New York, New York, USA: ACM Press, 2014. http://dx.doi.org/10.1145/2661126.2661133.

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Laena, Mohamad, and Riswadi Riswadi. "Legal Protection for Child Victims of Cyber Bullying." In Proceedings of the 2nd International Conference on Law, Social Science, Economics, and Education, ICLSSEE 2022, 16 April 2022, Semarang, Indonesia. EAI, 2022. http://dx.doi.org/10.4108/eai.16-4-2022.2319752.

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