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Journal articles on the topic 'Cyberhaine'

Author: Grafiati

Published: 13 July 2024

Last updated: 31 July 2025

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1

Blaya, Catherine. "La cyberhaine et les jeunes, un fléau préoccupant." Enfances & Psy 103, no. 2 (2025): 63–71. https://doi.org/10.3917/ep.103.0063.

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Blaya, Catherine. "Cyberviolence, cyberharcèlement et cyberhaine : conséquences et facteurs de protection." Le Journal des psychologues 382, no. 10 (2020): 38. http://dx.doi.org/10.3917/jdp.382.0038.

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Quinchon-Caudal, Anne. "Marc Knobel, Cyberhaine. Propagande et antisémitisme sur Internet. Préface de Pierre-André Taguieff. Postface de Smaïn Laacher, Paris, Hermann, 2021, 238 p." Matériaux pour l’histoire de notre temps N° 139-142, no. 1 (2022): 154–55. http://dx.doi.org/10.3917/mate.139.0154.

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LEVIN, BRIAN. "Cyberhate." American Behavioral Scientist 45, no. 6 (2002): 958–88. http://dx.doi.org/10.1177/0002764202045006004.

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Wachs, Sebastian, Juan Manuel Machimbarrena, Michelle F. Wright, et al. "Associations between Coping Strategies and Cyberhate Involvement: Evidence from Adolescents across Three World Regions." International Journal of Environmental Research and Public Health 19, no. 11 (2022): 6749. http://dx.doi.org/10.3390/ijerph19116749.

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Cyberhate represents a risk to adolescents’ development and peaceful coexistence in democratic societies. Yet, not much is known about the relationship between adolescents’ ability to cope with cyberhate and their cyberhate involvement. To fill current gaps in the literature and inform the development of media education programs, the present study investigated various coping strategies in a hypothetical cyberhate scenario as correlates for being cyberhate victims, perpetrators, and both victim–perpetrators. The sample consisted of 6829 adolescents aged 12–18 years old (Mage = 14.93, SD = 1.64;

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Korol, Liliia, and Catherine Blaya. "THE PHENOMENON OF CYBERHATE: ANALYSIS OF CONCEPTUAL APPROACHES AND EMPIRICAL FINDINGS OF YOUTH’S CYBERHATE EXPERIENCES IN FRANCE." Scientific Notes of Ostroh Academy National University: Psychology Series 1, no. 17 (2024): 82–89. http://dx.doi.org/10.25264/2415-7384-2024-17-82-89.

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The article presents an analysis of the content and essence of the phenomenon of cyberhate as well as the synthesis of the conceptual approaches and empirical findings of youth’s cyberhate experiences in France. Specifically, we explore recent developments and conclusions of research on cyberhate and the involvement of young people as exposed, victims, or perpetrators in France to determine the current state of knowledge. We focus on the prevalence of online hate experiences among adolescents, including cyberhate exposure, victimization, and perpetration. Moreover, we analyze whether the youth

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Almaliki, Malik, Abdulqader M. Almars, Khulood O. Aljuhani, and El-Sayed Atlam. "Combining the Strengths of LLMs and Persuasive Technology to Combat Cyberhate." Computers 14, no. 5 (2025): 173. https://doi.org/10.3390/computers14050173.

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Cyberhate presents a multifaceted, context-sensitive challenge that existing detection methods often struggle to tackle effectively. Large language models (LLMs) exhibit considerable potential for improving cyberhate detection due to their advanced contextual understanding. However, detection alone is insufficient; it is crucial for software to also promote healthier user behaviors and empower individuals to actively confront the spread of cyberhate. This study investigates whether integrating large language models (LLMs) with persuasive technology (PT) can effectively detect cyberhate and enc

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Douglas, Karen M., Craig Mcgarty, Ana-Maria Bliuc, and Girish Lala. "Understanding Cyberhate." Social Science Computer Review 23, no. 1 (2005): 68–76. http://dx.doi.org/10.1177/0894439304271538.

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Mróz, Justyna, and Kinga Kaleta. "Internet Addiction as a Moderator of the Relationship between Cyberhate Severity and Decisional Forgiveness." International Journal of Environmental Research and Public Health 19, no. 10 (2022): 5844. http://dx.doi.org/10.3390/ijerph19105844.

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(1) Background: Cyberhate is becoming increasingly prevalent, just as Internet addiction. One way to deal with hate speech may be to make a decision to forgive the offence. However, addiction to the Internet, due to cognitive changes caused, can play a role in the making of this decision. (2) Methods: A total of N = 246 participants completed the Online Cognitive Scale (OCS), Decision to Forgive Scale (DTFS), and a single-item scale to assess cyberhate severity. In our cross-sectional study, we tested the moderating role of Internet addiction in the relationship between the severity of cyberha

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Celik, Serkan. "Experiences of internet users regarding cyberhate." Information Technology & People 32, no. 6 (2019): 1446–71. http://dx.doi.org/10.1108/itp-01-2018-0009.

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Purpose The purpose of this paper is to explore internet users’ experiences of cyberhate in the aspects of ethnicity, religion, sexual preference and political perspective. Design/methodology/approach Researchers employed an exploratory survey method to examine internet users’ experiences of cyberhate. The participants of the study were determined by purposive sampling methods to attain maximum variety among internet users with high-level digital literacy skills. The data were collected from 355 internet users affiliated with two universities in Turkey and the USA using a personal data form an

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Celik, Serkan. "Tertiary-level internet users’ opinions and perceptions of cyberhate." Information Technology & People 31, no. 3 (2018): 845–68. http://dx.doi.org/10.1108/itp-05-2017-0147.

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PurposeThe purpose of this paper is to elaborate the opinions and perceptions of internet users regarding online hate speech, and bring cyberhate to the attention of internet users and policy stakeholders.Design/methodology/approachA sectional research design and survey method was adopted throughout the study to examine the opinions and perceptions of internet users regarding cyberhate by descriptively exploring the existing situation from various perspectives. The participants of the study were determined by purposive sampling methods to attain maximum variety among internet users who are con

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12

Bakalis, Chara. "Rethinking cyberhate laws." Information & Communications Technology Law 27, no. 1 (2017): 86–110. http://dx.doi.org/10.1080/13600834.2017.1393934.

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13

Mung'ale Wafula, Samuel, Peterson Mwai Kariuki, and Cyprian Ondieki Omari. "Social Media Users Cyberhate Reporting Intentions: Does Users’ Perceptions of Police Effectiveness Matter?" Journal of Information Security and Cybercrimes Research 6, no. 2 (2023): 130–38. http://dx.doi.org/10.26735/nqqq8332.

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In Kenya, social media platforms are the primary medium for cyberhate, and it predominantly affects university students who have extensive social media usage. Although cyberhate is considered as a criminal offence in Kenya, victims, particularly young people, often do not report victimisation to the police. Despite the well-documented harmful effects of cyberhate, the cause behind its underreporting remains unclear. Studies have established the influential role of attitudes, particularly views of police effectiveness, in shaping the choice to report crimes. However, insufficient focus has been

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Atanasov, Mykola. "THE ROLE OF CYBERHATE AS A COMPONENT OF CYBERBULLYING IN THE SYSTEM OF STAFF DEVELOPMENT IN PUBLIC SERVICE." Public Administration and Regional Development, no. 28 (June 30, 2025): 606–27. https://doi.org/10.34132/pard2025.28.14.

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The article attempts to define the role of cyberhate as a component of cyberbullying. The introductory part emphasizes that the issue of cyberhate is a complex combination of misused, mediated and unregulated freedom of speech. Currently, debates continue in the world about its universal conceptualization. Meanwhile, cyberhate is defined as all forms of expression, mediated by information and communication technologies, inciting, justifying or promoting hatred or violence against individuals or groups based on their gender, race, ethnicity, religion, sexual orientation or other collective char

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Perry, Barbara, and Patrik Olsson. "Cyberhate: the globalization of hate." Information & Communications Technology Law 18, no. 2 (2009): 185–99. http://dx.doi.org/10.1080/13600830902814984.

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Costello, Matthew, James Hawdon, Ashley V. Reichelmann, et al. "Defending Others Online: The Influence of Observing Formal and Informal Social Control on One’s Willingness to Defend Cyberhate Victims." International Journal of Environmental Research and Public Health 20, no. 15 (2023): 6506. http://dx.doi.org/10.3390/ijerph20156506.

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This paper examines factors correlated with online self-help—an informal form of social control vis-à-vis intervention—upon witnessing a cyberhate attack. Using online surveys from 18- to 26-year-old respondents in the United States, we explore the roles of various types of online and offline formal and informal social control mechanisms on the enactment of self-help through the use of descriptive statistics and ordinal logistic regression. The results of the multivariate analyses indicate that online collective efficacy is positively related to self-help, as is having close ties to individual

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Nanduri, Ashok Kumar, G. L. Sravanthi, K. V. K. V. L. Pavan Kumar, Sadhu Ratna Babu, and K. V. S. S. Rama Krishna. "Modified Fuzzy Approach to Automatic Classification of Cyber Hate Speech from the Online Social Networks (OSN’s)." Revue d'Intelligence Artificielle 35, no. 2 (2021): 139–44. http://dx.doi.org/10.18280/ria.350205.

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The extensive use of online media and sharing of data has given considerable benefits to humankind. Sentimental analysis has become the most dynamic and famous application area in current days, which is mainly used in knowing the public's opinion. Most algorithms of machine learning are used as principle methods for sentimental analysis. Even though several methods are available for classification and reviews, all of them belong to a single class of classification which differs among several different classes. No methods are available for the classifying of multi-class instances. Therefore, fu

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18

Brown, Alexander. "What is so special about online (as compared to offline) hate speech?" Ethnicities 18, no. 3 (2017): 297–326. http://dx.doi.org/10.1177/1468796817709846.

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There is a growing body of literature on whether or not online hate speech, or cyberhate, might be special compared to offline hate speech. This article aims to both critique and augment that literature by emphasising a distinctive feature of the Internet and of cyberhate that, unlike other features, such as ease of access, size of audience, and anonymity, is often overlooked: namely, instantaneousness. This article also asks whether there is anything special about online (as compared to offline) hate speech that might warrant governments and intergovernmental organisations contracting out, so

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19

Jane, Emma A. "Feminist Digilante Responses to a Slut-Shaming on Facebook." Social Media + Society 3, no. 2 (2017): 205630511770599. http://dx.doi.org/10.1177/2056305117705996.

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This article examines feminist digilantism in response to the “slut-shaming” of an Australian woman on Facebook in 2015. The activism is used to highlight the nature and significance of the feminist pushback against the worsening problem of cyber violence against women and girls (cyber VAWG). This article builds on my previous research into feminist digilantism and is part of a much larger, mixed-methods, multi-modal study into gendered cyberhate. It uses approaches from Internet historiography, ethnography, and netnography, alongside data drawn from qualitative interviews. Sufficient evidence

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Wachs, Sebastian, Manuel Gámez-Guadix, Michelle F. Wright, Anke Görzig, and Wilfried Schubarth. "How do adolescents cope with cyberhate? Psychometric properties and socio-demographic differences of a coping with cyberhate scale." Computers in Human Behavior 104 (March 2020): 106167. http://dx.doi.org/10.1016/j.chb.2019.106167.

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Iwanicka, Agnieszka, and Natalia Walter. "The Exposure of Polish Adolescents to Risky Online Content. Results of a European Longitudinal Study." New Educational Review Special, no. 5 (2024): 9–20. https://doi.org/10.15804/tner.2024.si.5.01.

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One aspect of children and adolescents being in a digital space involves exposure to potentially dangerous behaviours. This paper contributes to the discussion on the exposure to such behaviours of Polish adolescents aged 12–19 in comparison to their peers in 5 other European countries. Based on the collected data (quantitative longitudinal study, using a questionnaire, conducted for ySkills project, Horizon 2020, data collected from three waves in Poland: N1 =1935; N2 =1216; N3 =687), it has been found as follows: 1) Polish adolescents are at high risk of exposure to cyberhate, harmful conten

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22

Jane, Emma A. "Systemic misogyny exposed: Translating Rapeglish from the Manosphere with a Random Rape Threat Generator." International Journal of Cultural Studies 21, no. 6 (2017): 661–80. http://dx.doi.org/10.1177/1367877917734042.

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Misogyny online in forms such as explicit rape threats has become so prevalent and rhetorically distinctive it resembles a new dialect or language. Much of this ‘Rapeglish’ is produced by members of an informal alliance of men’s groups online dubbed the ‘Manosphere’. As both a cyberhate researcher and cyberhate target, I have studied as well as contributed to feminist responses to Rapeglish. In 2016, for instance, I helped build a Random Rape Threat Generator (RRTG) – a computer program that splices, shuffles around, and re-stitches in novel combinations fragments of real-life Rapeglish to ill

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23

Costello, Matthew, Long Cheng, Feng Luo, et al. "COVID-19: A Pandemic of Anti-Asian Cyberhate." Journal of Hate Studies 17, no. 1 (2021): 108. http://dx.doi.org/10.33972/jhs.198.

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24

Jane, Emma A. "Gendered cyberhate as workplace harassment and economic vandalism." Feminist Media Studies 18, no. 4 (2018): 575–91. http://dx.doi.org/10.1080/14680777.2018.1447344.

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25

Blaya, Catherine. "Cyberhate: A review and content analysis of intervention strategies." Aggression and Violent Behavior 45 (March 2019): 163–72. http://dx.doi.org/10.1016/j.avb.2018.05.006.

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26

Polat, Nil. "The protective role of mindfulness in the cyberhate experience." JOURNAL OF AWARENESS 9, Special Issue/Özel Sayı (2024): 51–59. http://dx.doi.org/10.26809/joa.2251.

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In today's world, widespread and uncontrolled access to social media channels, along with the possibility for individuals to hide their identities or use pseudonyms, can turn the internet, especially the social media environment, into a tool for violence for women due to many potential situations. The purpose of this article is to inform about a study conducted with the participation of ten women actively involved in the Kars/Sarıkamış cooperative, focusing on the impact of mindfulness method on coping with the various short and long-term negative effects of cyberviolence on women. The researc

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Aprila, Dzikri, Rizky Mutaqien, Muhamad Rizal Nurul Hadi, Fathi Ridwan Alamsyah, and Ade Iskandar Zulkarnaen. "Peningkatan dan Pelatihan Literasi Media Digital Anti Hoax, Bullying, dan Ujaran Kebencian di Rumah Tahfidz Quran Abulyatama." Jurnal Pengabdian Literasi Digital Indonesia 1, no. 1 (2022): 1–7. http://dx.doi.org/10.57119/abdimas.v1i1.1.

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The development of information and communication technology today has changed the way humans interact with each other. Social media is one of the media that allows humans to interact without being limited by space and time. The most dominant social media users are teenagers. With the rise of social media users for teenagers and even minors, it can certainly have a bad impact, if not used wisely. This is because most teenagers still have an unstable nature and cannot distinguish between real-world communication and the virtual world. The bad impact of using social media can be in the form of so

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Sidiq, Hadi Kurniawan, Dana Sulistyo Kusumo, and Indra Lukmana Sardi. "Mendeteksi Cyberhate pada Twitter Menggunakan Text Classification dan Crowdsourced Labeling." Jurnal Nasional Teknik Elektro dan Teknologi Informasi (JNTETI) 8, no. 4 (2019): 315. http://dx.doi.org/10.22146/jnteti.v8i4.530.

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Alhayan, Fatimah, Monerah Almobarak, Hawazen Shalabi, et al. "Detection of cyberhate speech towards female sport in the Arabic Xsphere." PeerJ Computer Science 10 (June 27, 2024): e2138. http://dx.doi.org/10.7717/peerj-cs.2138.

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The recent rapid growth in the number of Saudi female athletes and sports enthusiasts’ presence on social media has exposed them to gender-hate speech and discrimination. Hate speech, a harmful worldwide phenomenon, can have severe consequences. Its prevalence in sports has surged alongside the growing influence of social media, with X serving as a prominent platform for the expression of hate speech and discriminatory comments, often targeting women in sports. This research combines two studies that explores online hate speech and gender biases in the context of sports, proposing an automated

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Lucky, Nurhadiyanto, Meliala Adrianus, and Sulhin Iqrak. "Social Discourse of Cyber Hate in Indonesia: The Potential Transition from Hate to Crime." Journal of Social and Political Sciences 6, no. 2 (2023): 155–61. https://doi.org/10.31014/aior.1991.06.02.416.

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The dynamics of hate crime have changed as a result of digital media. The emergence of cyberhate waves is one of the manifestations of cyberspace within the context of hate crime. The purpose of this study is to present a social discussion about cyberhate in Indonesia as a sign of the transition from hatred to crime. A qualitative approach is used in this study. These diverse backgrounds serve as the foundation for this study, which aims to investigate the typology of cyber haters in Indonesia, particularly how perpetrators undergo transformation. In other words, the reconstruction of this res

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Oksanen, Atte, Markus Kaakinen, Jaana Minkkinen, Pekka Räsänen, Bernard Enjolras, and Kari Steen-Johnsen. "Perceived Societal Fear and Cyberhate after the November 2015 Paris Terrorist Attacks." Terrorism and Political Violence 32, no. 5 (2018): 1047–66. http://dx.doi.org/10.1080/09546553.2018.1442329.

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Wachs, Sebastian, Michelle F. Wright, and Alexander T. Vazsonyi. "Understanding the overlap between cyberbullying and cyberhate perpetration: Moderating effects of toxic online disinhibition." Criminal Behaviour and Mental Health 29, no. 3 (2019): 179–88. http://dx.doi.org/10.1002/cbm.2116.

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Reichelmann, Ashley V., and Matthew Costello. "When Patriot Becomes Hate-triot: The Relationship Between American Identity and the Production of Cyberhate." American Journal of Criminal Justice 46, no. 6 (2021): 956–79. http://dx.doi.org/10.1007/s12103-021-09659-0.

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Kavanagh, Emma, Chelsea Litchfield, and Jaquelyn Osborne. "Sporting Women and Social Media: Sexualization, Misogyny, and Gender-Based Violence in Online Spaces." International Journal of Sport Communication 12, no. 4 (2019): 552–72. http://dx.doi.org/10.1123/ijsc.2019-0079.

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This study investigated gender-based violence targeting high-profile women in virtual environments through the case of women’s tennis. Using a netnographic approach and the lens of third-wave feminism, 2 popular social media platforms (Facebook and Twitter) were analyzed to examine social commentary and fan interaction surrounding the top-5-seeded female tennis players during the Wimbledon Tennis Championships. Athletes were exposed to violent interactions in a number of ways. Four themes were identified through data analysis: threats of physical violence, sexualization that focused on the fem

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35

Bedrosova, Marie, Hana Machackova, Jan Šerek, David Smahel, and Catherine Blaya. "The relation between the cyberhate and cyberbullying experiences of adolescents in the Czech Republic, Poland, and Slovakia." Computers in Human Behavior 126 (January 2022): 107013. http://dx.doi.org/10.1016/j.chb.2021.107013.

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36

Eichhorn, Kate. "Re-in/citing linguistic injuries: speech acts, cyberhate, and the spatial and temporal character of networked environments." Computers and Composition 18, no. 3 (2001): 293–304. http://dx.doi.org/10.1016/s8755-4615(01)00057-3.

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37

Lee-Won, Roselyn J., Tiffany N. White, Hyunjin Song, Ji Young Lee, and Mikhail R. Smith. "Source magnification of cyberhate: affective and cognitive effects of multiple-source hate messages on target group members." Media Psychology 23, no. 5 (2019): 603–24. http://dx.doi.org/10.1080/15213269.2019.1612760.

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Silva, Luiz Rogério Lopes, and Rodrigo Eduardo Botelho-Francisco,. "GESTÃO DE CONTEÚDO DE ÓDIO NO FACEBOOK: um estudo sobre haters, trolls e naysayers." P2P E INOVAÇÃO 6 (March 31, 2020): 38–56. http://dx.doi.org/10.21721/p2p.2020v6n2.p38-56.

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O artigo tem o objetivo de identificar e compreender os tipos de interagentes-odiadores, sejam haters, trolls ou naysayers, presentes nas fanpages de políticos brasileiros que defendem pautas conservadoras e observar a relação homofílica ou heterofílica entre os atores envolvidos na produção e disseminação do cyberhate. A metodologia consiste na Análise de Conteúdo de 3.550 comentários contendo discurso de ódio recuperados nas páginas oficiais no Facebook dos parlamentares Jair Bolsonaro, Marco Feliciano e Rogério Peninha. Todos os três deputados foram protagonistas de declarações de intolerân

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Van Valkenburgh, Shawn P. "“She Thinks of Him as a Machine”: On the Entanglements of Neoliberal Ideology and Misogynist Cybercrime." Social Media + Society 5, no. 3 (2019): 205630511987295. http://dx.doi.org/10.1177/2056305119872953.

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The “manosphere” is a constellation of masculinist social media communities loosely unified by an anti-feminist worldview. Although extant journalism and social media scholarship successfully delineate the manosphere as a significant social problem by associating it with misogynist cybercrime and cyberhate, the resulting narrative simplistically pathologizes manosphere discourse while leaving its misogyny undertheorized. In this article, I complicate this emerging narrative by demonstrating how a certain central manosphere discourse qualitatively overlaps with a broader neoliberal ideology. I

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40

Williams, Matthew L., and Pete Burnap. "Cyberhate on Social Media in the aftermath of Woolwich: A Case Study in Computational Criminology and Big Data." British Journal of Criminology 56, no. 2 (2015): 211–38. http://dx.doi.org/10.1093/bjc/azv059.

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Gámez-Guadix, Manuel, Sebastian Wachs, and Michelle Wright. ""Haters back off!" Psychometric Properties of the Coping with Cyberhate Questionnaire and Relationship with Well-being in Spanish Adolescents." Psicothema 4, no. 32 (2020): 567–74. http://dx.doi.org/10.7334/psicothema2020.219.

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Wachs, Sebastian, Matthew Costello, Michelle F. Wright, et al. "“DNT LET ’EM H8 U!”: Applying the routine activity framework to understand cyberhate victimization among adolescents across eight countries." Computers & Education 160 (January 2021): 104026. http://dx.doi.org/10.1016/j.compedu.2020.104026.

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Arcila-Calderón, Carlos, Javier J. Amores, Patricia Sánchez-Holgado, and David Blanco-Herrero. "Using Shallow and Deep Learning to Automatically Detect Hate Motivated by Gender and Sexual Orientation on Twitter in Spanish." Multimodal Technologies and Interaction 5, no. 10 (2021): 63. http://dx.doi.org/10.3390/mti5100063.

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The increasing phenomenon of “cyberhate” is concerning because of the potential social implications of this form of verbal violence, which is aimed at already-stigmatized social groups. According to information collected by the Ministry of the Interior of Spain, the category of sexual orientation and gender identity is subject to the third-highest number of registered hate crimes, ranking behind racism/xenophobia and ideology. However, most of the existing computational approaches to online hate detection simultaneously attempt to address all types of discrimination, leading to weaker prototyp

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Kesgin, Bekir Furkan, and Rüştü Murat Demirer. "Offensive Language Detection in Turkish Language by Using NLP." Sakarya University Journal of Science 29, no. 1 (2025): 1–17. https://doi.org/10.16984/saufenbilder.1349956.

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The growing use of social media has increased online harassment, cyberhate, and the use of offensive language. This poses significant challenges for effectively detecting and addressing such issues. Natural Language Processing (NLP) has seen considerable advancements; however, automatically identifying offensive language remains a complex task due to the ambiguous and informal nature of user-generated content and the social context in which it occurs. In this thesis, our goal is to develop methods for automatic detection of offensive language in social media. Multiple classification algorithms

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45

Polat, Nil, Mahi Aslan, and Hilal Karayazı. "“Stop cyberhate speech, e-friendship is possible” project as an awareness study on combating cyber hate speech in Istanbul and Izmir." JOURNAL OF AWARENESS 8, no. 2 (2023): 169–84. http://dx.doi.org/10.26809/joa.2014.

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Cyber hate speech has been increasing rapidly in Turkey, as in the rest of the world, the devastating effects of the cyber hate speech on youth is irrefutable. It has been seen that the rate of cyber hate speech among youth is relatively higher in Istanbul and Izmir. Stop Cyber Hate Speech, E friendship is possible project aims to inform and raise awareness among youth aged 18-30 from vairous backgrounds about cyber hate speech. The project was implemented in Izmir and Istanbul,with twenty youth from the host community and twenty youth from different backgrounds. Throughout the project, online

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Wachs, Sebastian, Angela Mazzone, Tijana Milosevic, et al. "Online correlates of cyberhate involvement among young people from ten European countries: An application of the Routine Activity and Problem Behaviour Theory." Computers in Human Behavior 123 (October 2021): 106872. http://dx.doi.org/10.1016/j.chb.2021.106872.

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47

Lee-Won, Roselyn J., Ji Young Lee, Tiffany White, and Jayeon Lee. "The Not-So-Obvious Harm of Cyberhate: Source Magnification of Hate Tweets, Unhealthy Food Choice, and the Moderating Role of Group Identification." Asian Communication Research 18, no. 3 (2021): 151–67. http://dx.doi.org/10.20879/acr.2021.18.3.151.

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48

Pyżalski, Jacek. "Positive Internet use and online civic engagement versus active involvement in selected online risks – how are both connected in adolescents from six European countries?" Psychology, Society & Education 15, no. 3 (2023): 10–18. http://dx.doi.org/10.21071/pse.v15i3.16093.

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Usage of the Internet by young people has been historically analyzed through two main paradigms: the paradigm of risk, where the Internet has been viewed at large as a factor that endangers young people development; and the paradigm of opportunities, showing the Internet as a potentially positive factor supporting individual and social development. Those two dichotomous approaches are nowadays dismissed and replaced by more nuanced and holistic approach to online engagement of young generation. The article attempts to show critical relationships between engagement of young people in positive v

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Jääskeläinen, Tuula. "Countering hate speech through arts and arts education." Policy Futures in Education 18, no. 3 (2019): 344–57. http://dx.doi.org/10.1177/1478210319848953.

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Hate speech has become a growing topic of discussion and debate on a global scale, especially as advances in the internet transform communication on many levels. Among scholars, hate speech has been defined as any form of expression – for example by means of speech, images, videos or online activity – that has the capacity to increase hatred against a person or people because of a characteristic they share or a group to which they belong. In order to maintain the integrity of a functioning democracy, it is important to identify the best balance between allowing freedom of expression and protec

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Ozalp, Sefa, Matthew L. Williams, Pete Burnap, Han Liu, and Mohamed Mostafa. "Antisemitism on Twitter: Collective Efficacy and the Role of Community Organisations in Challenging Online Hate Speech." Social Media + Society 6, no. 2 (2020): 205630512091685. http://dx.doi.org/10.1177/2056305120916850.

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In this article, we conduct a comprehensive study of online antagonistic content related to Jewish identity posted on Twitter between October 2015 and October 2016 by UK-based users. We trained a scalable supervised machine learning classifier to identify antisemitic content to reveal patterns of online antisemitism perpetration at the source. We built statistical models to analyze the inhibiting and enabling factors of the size (number of retweets) and survival (duration of retweets) of information flows in addition to the production of online antagonistic content. Despite observing high temp

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