Academic literature on the topic 'Cyberbully'
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Journal articles on the topic "Cyberbully"
Sheeba, J. I., and S. Pradeep Devaneyan. "Cyberbully Detection Using Intelligent Techniques." International Journal of Data Mining And Emerging Technologies 6, no. 2 (2016): 86. http://dx.doi.org/10.5958/2249-3220.2016.00012.4.
Full textCarvalho, Marina, Cátia Branquinho, and Margarida Gaspar de Matos. "Emotional Symptoms and Risk Behaviors in Adolescents: Relationships With Cyberbullying and Implications on Well-Being." Violence and Victims 33, no. 5 (October 2018): 871–85. http://dx.doi.org/10.1891/0886-6708.vv-d-16-00204.
Full textKanwal, Hira, and Humaira Jami. "Exploring Modes, Strategies, and Psychosocial Consequences of Cyberbullying Perpetration and Victimization Among University Students." Pakistan Journal of Psychological Research 34, no. 4 (January 21, 2020): 787–817. http://dx.doi.org/10.33824/pjpr.2019.34.4.43.
Full textHolle, Annisa Nurul Fitri Holle. "Anonymous Chat sebagai Dampak Maraknya Cyberbully." Jurnal Spektrum Komunikasi 7, no. 1 (June 24, 2019): 51–61. http://dx.doi.org/10.37826/spektrum.v7i1.25.
Full textAbdul Rahman, Nor Azian, Norashikin Hussein, Syezreen Dalina Rusdi, and Zarith Delaila Abd Aziz. "Factors Influencing Cyberbullying Behavior among Malaysian Tertiary Students." ADVANCES IN BUSINESS RESEARCH INTERNATIONAL JOURNAL 6, no. 2 (October 31, 2020): 44. http://dx.doi.org/10.24191/abrij.v6i2.10594.
Full textHellfeldt, Karin, Laura López-Romero, and Henrik Andershed. "Cyberbullying and Psychological Well-being in Young Adolescence: The Potential Protective Mediation Effects of Social Support from Family, Friends, and Teachers." International Journal of Environmental Research and Public Health 17, no. 1 (December 19, 2019): 45. http://dx.doi.org/10.3390/ijerph17010045.
Full textChibbaro, Julia. "School Counselors and the Cyberbully: Interventions and Implications." Professional School Counseling 11, no. 1 (October 2007): 65–68. http://dx.doi.org/10.5330/psc.n.2010-11.65.
Full textChibbaro, Julia S. "School Counselors and the Cyberbully: Interventions and Implications." Professional School Counseling 11, no. 1 (October 2007): 2156759X0701100. http://dx.doi.org/10.1177/2156759x0701100109.
Full textGonzález-Cabrera, Tourón, Machimbarrena, Gutiérrez-Ortega, Álvarez-Bardón, and Garaigordobil. "Cyberbullying in Gifted Students: Prevalence and Psychological Well-Being in a Spanish Sample." International Journal of Environmental Research and Public Health 16, no. 12 (June 19, 2019): 2173. http://dx.doi.org/10.3390/ijerph16122173.
Full textOrtiz-Marcos, José Manuel, María Tomé-Fernández, and Christian Fernández-Leyva. "Cyberbullying Analysis in Intercultural Educational Environments Using Binary Logistic Regressions." Future Internet 13, no. 1 (January 9, 2021): 15. http://dx.doi.org/10.3390/fi13010015.
Full textDissertations / Theses on the topic "Cyberbully"
Niblack, Jessica Ezra. "Factors that influence bystander behavior in the cyberbully context." Thesis, Wichita State University, 2013. http://hdl.handle.net/10057/6830.
Full textThesis (M.A.)--Wichita State University, Fairmount College of Liberal Arts and Sciences, Dept. of Sociology
Cruz, Ana Catarina Calixto da. "O cyberbullying no contexto português." Master's thesis, Faculdade de Ciências Sociais e Humanas, Universidade Nova de Lisboa, 2011. http://hdl.handle.net/10362/5958.
Full textA presente investigação tem como principal objectivo avaliar a dimensão do cyberbullying em território português. Por ser um tema pouco debatido pelos media portugueses, procurou-se descobrir se as crianças e os jovens estão familiarizados com o conceito “cyberbullying” e se este fenómeno é já uma realidade no nosso país. A amostra é composta por 205 alunos do 4.º ao 11.º ano de escolaridade e com idades compreendidas entre os 9 e os 16 anos. 49 % dos alunos são do sexo feminino e 50 % do sexo masculino. Os resultados da investigação demonstram que, apesar de o cyberbullying ser ainda uma incógnita para a grande parte dos entrevistados, esta é já uma realidade também em Portugal, provando que este fenómeno não é próprio de uma só região ou localidade. Urbanas ou rurais, o cyberbullying já chegou a todos os cantos do país. A frase “Eu posso ver-te, mas tu não podes ver-me” nunca fez tanto sentido à medida que o cyberbullying se vai assumindo como um problema cada vez mais actual e real.
Howlett-Brandon, Mary. "CYBERBULLYING: AN EXAMINATION OF GENDER, RACE, ETHNICITY, AND ENVIRONMENTAL FACTORS FROM THE NATIONAL CRIME VICTIMIZATION SURVEY: STUDENT CRIME SUPPLEMENT, 2009." VCU Scholars Compass, 2014. http://scholarscompass.vcu.edu/etd/3470.
Full textBrochu, Michael R. "Cyber Bullying: A Quantitative Study on the Perceptions and Experiences of Female Emirati University Students." NSUWorks, 2017. http://nsuworks.nova.edu/shss_dcar_etd/56.
Full textRodríguez, Enríquez Mónica. "Variables de personalidad, sociodemograficas y consumo de sustancias en víctimas de cyberbullyng." Doctoral thesis, Universitat de les Illes Balears, 2020. http://hdl.handle.net/10803/671415.
Full text[spa] El cyberbullying entre los niños y adolescentes es un grave problema de salud pública. Sin embargo, la evidencia con respecto a los factores de riesgo que lo desencadenan, y su relación con otros problemas de salud como el consumo de sustancias es heterogénea. Los rasgos de personalidad podrían jugar un papel relevante en la génesis de la cibervictimización y el consumo de sustancias. El propósito de este trabajo fue tratar de determinar las relaciones que se establecen entre los factores sociodemográficos, los rasgos de personalidad, el uso de redes sociales y el consumo de sustancias, con la cibervictimización. Contenido de la investigación Se llevó a cabo un estudio transversal con 765 estudiantes de educación secundaria pertenecientes a 16 centros de la Isla de Mallorca con edades comprendidas entre los 14 y los 16 años. Los jóvenes cumplimentaron un cuestionario con preguntas sociodemográficas, y acerca del uso de tabaco, alcohol, y redes sociales. La cibervictimización fue medida mediante la Escala de Cibervictimización de Garaigordobil. El BFQ-NA (Big Five Questionnaire) fue empleado para medir los rasgos de personalidad. Se llevaron a cabo varios modelos de regresión logística controlando por las diferentes variables de estudio, con el fin de observar la interacción y asociación entre los diferentes factores. Los resultados indicaron que un total de 305 estudiantes (39,9%) sufrieron cyberbullying en el último año. Las chicas fueron cibervictimizadas en mayor medida que los chicos (43.1% vs. 35.7%; p=0.04). Las cibervíctimas presentaron niveles más elevados de neuroticismo (0.16 vs. -0.23; p<0.01) y extraversión (0.11 vs. -0.09; p<0.01), y más reducidos en responsabilidad (-0.001 vs. 0.20; p<0.01). Además, pasaron más tiempo usando las redes sociales (6h 30 min vs. 5h 16 min; p<0.01). Los análisis multivariantes indicaron que el tiempo de uso de redes sociales no se asoció de modo significativo a ser cibervictimizado (OR = 1.11; 95% IC = 0.938–1.311; p=0.23), tras controlar por los rasgos de personalidad. En cambio, los rasgos de personalidad mantuvieron la magnitud y significación de su asociación con la cibervictimización. Los estudiantes cibervictimizados realizaron un mayor consumo de alcohol (OR = 1.99; 95% IC = 1.47–2.70; p<0.01) y tabaco (OR = 2.55; 95% IC = 1.28–5.05; p<0.01) que los no-cibervictimizados. El modelo de regresión logística controlando por los rasgos de personalidad y las variables sociodemográficas, continuó mostrando un mayor riesgo de cibervictimización entre los consumidores de alcohol (OR = 1.51; 95% IC = 1.05–2.15; p=0.03). Conclusiones: Nuestros hallazgos indican que la cibervictimización es un problema frecuente entre los adolescentes en la Isla de Mallorca y que se asocia con otras conductas de riesgo como el consumo de sustancias. Nuestro estudio sugiere la existencia de factores de personalidad comunes subyacentes a la cibervictimización y al consumo de sustancias. Las intervenciones centradas en el entrenamiento de estrategias de afrontamiento adaptativas y la mejora de comportamientos sociales podrían ser una vía para reducir el cyberbullying y el consumo de sustancias entre los jóvenes.
[eng] Introduction Cyberbullying among children and adolescents is a major public health concern. However, the research on risk factors associated with cybervictimization, and its associations with health problems such as substance use is heterogeneous. Personality traits could play an important role in the genesis of cybervictimization and substance use. The purpose of this study was to determine the association of cybervictimization with sociodemographic factors, personality traits, use of social networks, and substance use. Research Content A cross-sectional study was conducted with 765 secondary students from 16 secondary schools in Majorca Island aged between 14 and 16 years. Participants completed a questionnaire assessing sociodemographic characteristics; tobacco and alcohol consumption; and use of social networks. Cybervictimization was measured by the Garaigordobil Cybervictimization Scale. BFQ-NA (Big Five Questionnaire) was used to assess personality traits. Several logistic regression models were fitted controlled for study variables to determine the associations and interactions among factors. The results indicate that a total of 305 students (39,9%) reported cybervictimization in the past year. Girls were more likely to be cyberbullied than boys (43.1% vs. 35.7%; p=0.04). Cybervictims had a greater emotional instability (0.16 vs. -0.23; p<0.01) and extraversion (0.11 vs. -0.09; p<0.01), and were less conscientious (-0.001 vs. 0.20; p<0.01). Moreover, spent more time in social networking sites than non-victims (6h 30 min vs. 5h 16 min; p<0.01). Multivariable Analysis indicated that social networking time was not significantly associated with cybervictimization (OR = 1.11; 95% IC = 0.938–1.311; p=0.23), after controlling for personality traits. However, personality traits remained significantly associated with cybervictim. Cybervictims had a significantly greater monthly alcohol (OR = 1.99; 95% IC = 1.47–2.70; p<0.01), and tobacco (OR = 2.55; 95% IC = 1.28–5.05; p<0.01) consumption than non-cybervictims students. The logistic regression model controlling for sociodemographic variables and personality traits also showed a greater risk of cybervictimization among alcohol users (OR = 1.51; 95% IC = 1.05–2.15; p=0.03). Conclusions Our findings indicate that cybervictimization is a frequent and relevant problem among adolescents in Majorca Island that is associated with other risk behaviors, such as substance use. Our study suggests the existence of underlying common personality factors for cybervictimization and substance use. Interventions focused on coping skills and improving social behaviors could be a way to reduce cyberbullying and substance use among young people.
Chang, Ren-Chun, and 張仁俊. "The Study of Cyberbully." Thesis, 2011. http://ndltd.ncl.edu.tw/handle/c8gfe3.
Full text國立臺東大學
資訊管理學系碩士班
99
Bullying has been affected the campus and the society, while the popularization of the internet, bullying has emerged in a new form. However, rely on internet access through portable technology products can also achieve the purpose without using the traditional way. The definition of cyberbullying is through the internet to achieve bullying. Internet combines many technological products including mobile phones and computers to accomplish in-time communication, people who know you can not only know the information in your mobile internet, but also can use the characteristic of unlimited internet to make people see the message you upload. This theory uses questionnaires to comprehend cyberbullying which through descriptive statistics in the proportion of analysis and cross-analysis to figure out the impacts of cyberbullying. In conclusion, the writer would provide some suggestions and future developments based on the results.
鄭廉恩. "Cyberbully Detection Using Information of Social Media." Thesis, 2018. http://ndltd.ncl.edu.tw/handle/hpnbv2.
Full text國立中正大學
資訊管理系研究所
106
Social network such as Facebook and Twitter have promoted communication between people , but some unusual social user overuse the social media like cyberbullying. Cyberbullying in social network will cause more negative effect than traditional bullying. For example, many tweets on Twitter can be read publicly by registered users around the world , so that cyberbullying messages can spread quickly. When a cyber criminal sends a text message to attack other social users, such behavior may involve cyberaggression and cyberbullying. In the past, the cyberbullying literature focused on a single text message to make the expert distinguish whether the cyber bullying or not. This situation is more like the criteria of cyber aggression. The criteria of the cyberbullying must include the imbalance of power and repetition, in order to consider the power of imbalance and repetition, the expert should not only use text message to identify cyberbullying, they must understand the whole information on the social network such as likes or replies in a tweet and the tweet that social user received recently. This study collects tweets and user information on the Twitter, and create three different feature group (text, user, social). Using Random Forest, Logistic Regression, and Support Vectors three classifiers to build cyberbullying model. With the comparison of models established by three different classifiers, the best predict model is selected as the research discussed.
Chiou, Hui-Chun, and 邱惠君. "Applying Text Mining Techniques to Predict Cyberbully." Thesis, 2019. http://ndltd.ncl.edu.tw/handle/vryee9.
Full text國立交通大學
管理學院資訊管理學程
107
The Internet has become an indispensable tool in everyday life. Because of the anonymity in Internet, users may indiscriminately speak with fighting words to result in cyberbully, which spreads untrue contents to hurt others. Cyberbully can be conducted through electronic media, such as social networking sites, personal blogs, online games message, and instant messaging software, etc. Cyberbully makes people feel threatened and also violates the law. This study used text mining techniques such as sentiment analysis, LDA, and TF-IDF to select the best combination of cyberbully features. The prediction model is then established by using different classification methods of random forest, XGBoost, Logistic regression and decision tree. Finally, experiments are conducted to evaluate the prediction performance of various methods. The results show that the prediction model established by random forest can obtain the best accuracy for classification prediction of cyberbully.
Shu-Chun-Chen and 陳樞錞. "The Study of Cyberbully for Adolescent on Community Websites." Thesis, 2015. http://ndltd.ncl.edu.tw/handle/56143544267263705972.
Full text義守大學
管理碩博士班
103
With the importance of social networking tools, community websites has made Cyber-Bullying as being one of the most important parts of modern life for personal everyday communication. Recently, Taiwan artist, young model Yang Youying (Cindy), has been cyber-bullying suicide of their lifetime. Thus, this study explored the teen’s cyber-bullying behavior, and verify whether the theory of planned behavior can predict or explain those behaviors. In this study, focus groups interview is used to understand respondents'' opinions about research questions. After analysising and reasoning, several assumptions can be made respectively. After that questionnaires would be used to get inference from the sample analysis to reflect the status of the group. Finally cross over for verification to get the following findings. First, facebook is the most frequently used community website for teenagers, and teenagers use community websites to meet their needs for a sense of identity. Second, teenagers are willing to let their teachers parents or elders learn about their behaviors on community websites, but in some cases (when saying ill of their peers or discussing opposite sex ),they still have something to hide. Third, the teen community websites cyber-bullying behaviors have been growing worse. Forth, the behaviors and attitudes of teenagers could significantly affect the behavioral intention of teen community sites cyber-bullying. Fifth, subjective norm factor (parents, teachers, peers, reference groups) can significantly affect the motives of teenagers community website cyber-bullying . Sixth, teenagers perceived behavioral control factors can significantly affect the behavioral intention of teenagers community website cyber-bullying. Seventh, teenagers inherent perceived behavioral control factors that control higher consciousness. Eighth, teenagers external perception of control factors adolescents perceived less control. Ninth, when teenagers face community websites cyber-bullying behaviors,they are helpless; they believe there is no effective solution to solve cyber-bullying behaviors. Tenth, actions taken by teenagers while facing cyber-bullying tends to significantly affect the behavioral intention affect the of community website cyber-bullying motivation of teenagers. According to the above findings, verification theory of planned behavior could predict and explain community website cyber-bullying behavior. Finally, according to the above conclusions this study can provides concrete recommendations to government authorities, teachers, parents and the subsequent researchers.
HUANG, FONG-SHENG, and 黃烽盛. "A Study of Cyberbully, Depression and Suicidal Ideation among Adolescents." Thesis, 2017. http://ndltd.ncl.edu.tw/handle/pkrdw6.
Full text大葉大學
教育專業發展研究所
105
This study aims to investigate the adolescents about the effects of depression, suicidal ideation, and cyberbullying , and understand its relationship between background variables, depression, suicidal ideation, and cyberbullying. In this study, A total of 300 effective samples were retrieved by Depression Inventory, Scale for Suicide Ideation and Cyberbullying Behavior and Coping scale. Descriptive statistics, and independent sample t-test, chi-square test, one-way ANOVA , Pearson correlation, stepwise multiple regression analysis were used.
Books on the topic "Cyberbully"
ill, Lewellen Emily, ed. Piano and Laylee and the cyberbully. Eugene, OR: International Society for Technology in Education, 2010.
Find full textKatz, Farley. Journal of a Schoolyard Bully - Cyberbully. St. Martin's Press, 2013.
Find full textKatz, Farley. Journal of a Schoolyard Bully: Cyberbully. St. Martin's Griffin, 2012.
Find full textHayes, Arthur S. Sympathy for the Cyberbully: How the Crusade to Censor Hostile and Offensive Online Speech Abuses Freedom of Expression. Lang Publishing, Incorporated, Peter, 2016.
Find full textSympathy for the Cyberbully: How the Crusade to Censor Hostile and Offensive Online Speech Abuses Freedom of Expression. Lang Publishing, Incorporated, Peter, 2016.
Find full textBook chapters on the topic "Cyberbully"
Zhong, Haoti, David J. Miller, and Anna Squicciarini. "Flexible Inference for Cyberbully Incident Detection." In Machine Learning and Knowledge Discovery in Databases, 356–71. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-10997-4_22.
Full textBin Abdur Rakib, Tazeek, and Lay-Ki Soon. "Using the Reddit Corpus for Cyberbully Detection." In Intelligent Information and Database Systems, 180–89. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-75417-8_17.
Full textGhosh, Sourodip, Aunkit Chaki, and Ankit Kudeshia. "Cyberbully Detection Using 1D-CNN and LSTM." In Lecture Notes in Electrical Engineering, 295–301. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-33-4866-0_37.
Full text"1 THE CYBERBULLY-IN-CHIEF." In When Words Trump Politics, 1–12. Stanford University Press, 2020. http://dx.doi.org/10.1515/9781503610804-002.
Full textDiamanduros, Terry, and Elizabeth Downs. "Cyberbullying." In Developing Safer Online Environments for Children, 68–93. IGI Global, 2020. http://dx.doi.org/10.4018/978-1-7998-1684-3.ch003.
Full textAlvarez, Wilfredo. "A Historic First." In Advances in Human Resources Management and Organizational Development, 216–41. IGI Global, 2021. http://dx.doi.org/10.4018/978-1-7998-4912-4.ch011.
Full textNiblack, Jessica, and Jodie L. Hertzog. "Factors that Influence Bystander Behavior in the Cyberbully Context." In Technology and Youth: Growing Up in a Digital World, 47–72. Emerald Group Publishing Limited, 2015. http://dx.doi.org/10.1108/s1537-466120150000019002.
Full textStodt, Benjamin, Elisa Wegmann, and Matthias Brand. "Predicting Dysfunctional Internet Use." In Internet and Technology Addiction, 554–72. IGI Global, 2019. http://dx.doi.org/10.4018/978-1-5225-8900-6.ch031.
Full textStodt, Benjamin, Elisa Wegmann, and Matthias Brand. "Predicting Dysfunctional Internet Use." In Multigenerational Online Behavior and Media Use, 1631–49. IGI Global, 2019. http://dx.doi.org/10.4018/978-1-5225-7909-0.ch086.
Full textStodt, Benjamin, Elisa Wegmann, and Matthias Brand. "Predicting Dysfunctional Internet Use." In Substance Abuse and Addiction, 263–81. IGI Global, 2019. http://dx.doi.org/10.4018/978-1-5225-7666-2.ch013.
Full textConference papers on the topic "Cyberbully"
Ambrožová, Petra, and Martin Kaliba. "HOW DO UNIVERSITY STUDENTS CYBERBULLY TEACHERS ON INSTAGRAM?" In 12th International Conference on Education and New Learning Technologies. IATED, 2020. http://dx.doi.org/10.21125/edulearn.2020.0986.
Full textSheeba, J. I., and K. Vivekanandan. "Low frequency keyword extraction with sentiment classification and cyberbully detection using fuzzy logic technique." In 2013 IEEE International Conference on Computational Intelligence and Computing Research (ICCIC). IEEE, 2013. http://dx.doi.org/10.1109/iccic.2013.6724124.
Full textAl-Ahmed, Aisha, Huda Makki, Sara Al-Rajeh, and Diana Alsayed Hassan. "The Relationship between Cyberbullying, Cyber-victimization and Depression among Qatar University Students." In Qatar University Annual Research Forum & Exhibition. Qatar University Press, 2020. http://dx.doi.org/10.29117/quarfe.2020.0222.
Full textLessa Muniz, Paula, MARCELA SANTOS DA SILVA, and Dayana Boechat De Marins. "SUICÍDIO E CYBERBULLYNG." In Semana Nacional de Ciência e Tecnologia - IFRO-Campus Cacoal. ,: Even3, 2021. http://dx.doi.org/10.29327/snctcacoal2020.281258.
Full textMikka-Muntuumo, Josephina, Anicia Peters, and Hussin Jazri. "CyberBullet - Share Your Story." In AfriCHI '18: 2nd African Conference for Human Computer Interaction. New York, NY, USA: ACM, 2018. http://dx.doi.org/10.1145/3283458.3283482.
Full textLatino, Anna Libera, Tiziana Carella, Rosa Pedale, Maria Teresa Vaccaro, and Giuseppina Volpicelli. "GP210 Bullyng and cyberbullyng in southern italy: a school based study." In Faculty of Paediatrics of the Royal College of Physicians of Ireland, 9th Europaediatrics Congress, 13–15 June, Dublin, Ireland 2019. BMJ Publishing Group Ltd and Royal College of Paediatrics and Child Health, 2019. http://dx.doi.org/10.1136/archdischild-2019-epa.269.
Full textNascimento, Sulamita Barreto, and Valdênia Rodrigues Fernandes Eleotério. "Bullying e Cyberbullying: como os professores estão sendo preparados para lidarem com esse problema?" In II Seminário de Educação a Distância da Região Centro-Oeste. Sociedade Brasileira de Computação, 2018. http://dx.doi.org/10.5753/seadco.2018.14840.
Full textFernández-Leyva, Christian. "Creation of a Mobile App for the Promotion of Social Skills as a Way out of Cyberbullyng Situations for Intercultural Reasons." In International Academic Conference on Education. Acavent, 2019. http://dx.doi.org/10.33422/iaceducation.2019.11.669.
Full text