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1

Nomura, Tatsuya, Takayuki Kanda, Hiroyoshi Kidokoro, Yoshitaka Suehiro, and Sachie Yamada. "Why do children abuse robots?" Interaction Studies 17, no. 3 (2016): 347–69. http://dx.doi.org/10.1075/is.17.3.02nom.

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Abstract We found that children sometimes abused a social robot placed in a shopping mall hallway. They verbally abused the robot, repeatedly obstructed its path, and sometimes even kicked and punched the robot. To investigate the reasons for the abuse, we conducted a field study in which we interviewed visiting children who exhibited serious abusive behaviors, including physical contact. We analyzed interview contents to determine whether the children perceived the robot as human-like, why they abused it, and whether they thought that the robot would suffer from their abusive behavior. We obt
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Al Thobaiti, Fatmah. "Portraying the Male Abuser in Contemporary Women’s Fiction." ELOPE: English Language Overseas Perspectives and Enquiries 19, no. 2 (2022): 197–210. http://dx.doi.org/10.4312/elope.19.2.197-210.

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Newspaper headlines show that awareness of intimate partner violence is a complicated issue that needs further examination. Works of fiction narrated by women trapped in abusive relationships are useful sites for the exploration of what intimate partner violence usually includes, and the identification of subtle behaviours that can be defined as violent and abusive but usually go unnoticed. This article submits two contemporary works of fiction, First Love and the Fifty Shades series, for a study of the covert mechanisms of emotional abuse. To understand such mechanisms, the article engages wi
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Grant, Kellie, and Fred Gravestock. "Speech and language impairment: A neglected issue for abused and neglected children." Children Australia 28, no. 4 (2003): 4–11. http://dx.doi.org/10.1017/s1035077200005757.

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Speech and language impairment in the context of children who have experienced abuse and neglect is not well documented, with only a handful of controlled studies and research reviews on the relationships between maltreatment and children's communication development. More prevalent in the literature are reports on the deleterious effects of child abuse and neglect on overall childhood development, purporting effects on cognitive, affective, social and neurological development. However, the growth of communication skills is integral to a child's early development and is closely related to cogni
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Al-Rawi, Ahmed, Betty B. B. Ackah, and Wendy H. K. Chun. "The Intersectionality of Twitter Responses to Black Canadian Politicians." Social Media + Society 9, no. 1 (2023): 205630512311572. http://dx.doi.org/10.1177/20563051231157290.

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Research has shown that Black politicians in the Global North contend with higher instances of abusive language on social media platforms. The study investigates how public interactions engage with the intersectional positionalities of nine Black Canadian politicians. We collected all the replies to tweets posted by the politicians from 2006 to 2021. Results from the manual analysis showed that 56% of the tweets had a neutral tone, meaning that even if they contained abusive language, they did not directly address the politician. They were also not complimentary. There were more negative tweet
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Naseem, Usman, Shah Khalid Khan, Farasat, Madiha, and Farasat Ali. "Abusive Language Detection: A Comprehensive Review." Indian Journal of Science and Technology 12, no. 45 (2019): 01–13. http://dx.doi.org/10.17485/ijst/2019/v12i45/146538.

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D'Attoma, Sara. ""Words matter": Judicial discourse on domestic violence in China." Comparative Legilinguistics 60 (December 16, 2024): 325–41. https://doi.org/10.14746/cl.2024.60.3.

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The discourse about domestic violence focuses on power and control by the abuser among the victim through different means, one of those is the language. Besides the domestic walls within the abuses are perpetrated, a more institutional and usually regulated language on family violence is traceable in the public discourse, specifically in the People’s Court judgments. In cases regarding family matters, especially divorce proceedings, Chinese judges do often use paternalistic and educational language towards the couple. The aim of this paper is to carry out a preliminary research and analysis on
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Bayisa, Gemechu, Tesfaye Dagnew, and Tesfamariam Gebremeskel. "An Analysis of The Presentation of Human and Democratic Rights Abuses in AMELMAL’S YÄLTÄKOÄCHE GUZO (1974- 2018)." Ethiopian Renaissance Journal of Social Sciences and Humanities 10, no. 1 (2023): 173–84. http://dx.doi.org/10.4314/erjssh.v10i1.10.

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The main objective of the study is to examine the depiction of democratic and human rights abuses in Amelmal’s, Yältäkoäche Guzo (Unfinished Journey). One of the considerable importances of literature all over the world is its use of sympathetic and attractive literary language to expose basic human right abuses since human rights are also part of human life. Therefore, analyzing the roles of literatures that are written in Amharic language in portraying basic human rights violations is paramount. However, literatures written in Amharic language are not well studied from human rights violation
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Salem, Mahmoud, Anatoly Liberman, Thomas Hylland Eriksen, et al. "The Big Question: Abusing Language." World Policy Journal 29, no. 1 (2012): 3–6. http://dx.doi.org/10.1177/0740277512443790.

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Gong, Hongyu, Alberto Valido, Katherine M. Ingram, Giulia Fanti, Suma Bhat, and Dorothy L. Espelage. "Abusive Language Detection in Heterogeneous Contexts: Dataset Collection and the Role of Supervised Attention." Proceedings of the AAAI Conference on Artificial Intelligence 35, no. 17 (2021): 14804–12. http://dx.doi.org/10.1609/aaai.v35i17.17738.

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Abusive language is a massive problem in online social platforms. Existing abusive language detection techniques are particularly ill-suited to comments containing heterogeneous abusive language patterns, i.e., both abusive and non-abusive parts. This is due in part to the lack of datasets that explicitly annotate heterogeneity in abusive language. We tackle this challenge by providing an annotated dataset of abusive language in over 11,000 comments from YouTube. We account for heterogeneity in this dataset by separately annotating both the comment as a whole and the individual sentences that
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Haq, Nauman Ul, Mohib Ullah, Rafiullah Khan, et al. "USAD: An Intelligent System for Slang and Abusive Text Detection in PERSO-Arabic-Scripted Urdu." Complexity 2020 (November 30, 2020): 1–7. http://dx.doi.org/10.1155/2020/6684995.

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The use of slang, abusive, and offensive language has become common practice on social media. Even though social media companies have censorship polices for slang, abusive, vulgar, and offensive language, due to limited resources and research in the automatic detection of abusive language mechanisms other than English, this condemnable act is still practiced. This study proposes USAD (Urdu Slang and Abusive words Detection), a lexicon-based intelligent framework to detect abusive and slang words in Perso-Arabic-scripted Urdu Tweets. Furthermore, due to the nonavailability of the standard datas
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Hidayatullah, Muhammad Fahmi, and Primi Rohimi. "Komodifikasi Kata-kata Kasar di Channel YouTube Tekotok." Mu'ashir: Jurnal Dakwah dan Komunikasi Islam 3, no. 1 (2025): 113–30. https://doi.org/10.35878/muashir.v3i1.1421.

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The commodification of abusive language on the YouTube channel Tekotok is an intriguing phenomenon to study, given its impact on communication behavior in society, particularly among adolescents. This research aims to identify the forms of abusive language used in Tekotok's content and analyze its social and psychological effects on the audience. The research method employed is a qualitative approach with data collection techniques through observation and content analysis of video materials. Data were collected from ten selected videos on the Tekotok channel that contain elements of abusive la
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Khalid, Aemen, Taimoor Ul Hassan, and Ghulam Shabir. "Cultivation Effects of Social Media on Cognitive, Social and Moral Skills of Adolescents in Pakistan." Journal of Business and Social Review in Emerging Economies 6, no. 2 (2020): 419–36. http://dx.doi.org/10.26710/jbsee.v6i2.1146.

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This research work aims to find out social, cognitive and moral effects of facebook on adolescents in Pakistan, because about 65% of the country comprises on adolescents. The researcher applied quantitative research methods, while survey was conducted for the collection of data. Structured questionnaires were used for collection of data. Data was collected through purposive sampling method. Data was analyzed by Statistical Package for Social Sciences. The findings revealed that social media, particularly Facebook has cognitive, social and moral effects, which improve their skills to in-touch w
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Schottenius Cullhed, Sigrid. "Persefone, missbrukare eller missbrukad?" Tidskrift för litteraturvetenskap 47, no. 1 (2017): 21–33. http://dx.doi.org/10.54797/tfl.v47i1.8440.

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Persephone, Abuser or Abused
 This article addresses the mystifying reinterpretations of sexual violence that we often encounter in the Nachleben of ancient mythology. In the Homeric Hymn to Demeter, Hades’ abduction of his niece Persephone is described with language reminiscent of sex slavery in the Iliad. The maiden continued to be represented as a victim of male and divine violence in Ancient and Early Modern retellings of the myth, but in Romantic and Decadent portrayals her innocence faded. The poppy, which is associated with Demeter in Ovid’s Fasti, now came to dominate representati
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Jinwen Zeng, David Marlow, and Calvin Odhiambo. "Abusive Language in Chinese and English." Cross-Cultural Studies 28, no. ll (2012): 141–61. http://dx.doi.org/10.21049/ccs.2012.28..141.

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Chandu, Burre, Kaza Phani Rohitha, Nampally Nihal, and K. Hima Bindu. "Abusive language detection using customised BERT." International Journal of Swarm Intelligence 7, no. 1 (2022): 25. http://dx.doi.org/10.1504/ijsi.2022.121094.

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Bindu, K. Hima, Nampally Nihal, Burre Chandu, and Kaza Phani Rohitha. "Abusive language detection using customised BERT." International Journal of Swarm Intelligence 1, no. 1 (2021): 1. http://dx.doi.org/10.1504/ijsi.2021.10041159.

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17

Hannah, Harold W. "Abusive language—the tort of outrage." Journal of the American Veterinary Medical Association 190, no. 5 (1987): 521–22. https://doi.org/10.2460/javma.1987.190.05.521.

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Long, Kevin Jay. "Abused statistical language in journal articles." American Journal of Medicine 83, no. 3 (1987): 607–8. http://dx.doi.org/10.1016/0002-9343(87)90793-5.

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19

Rathore, Anurag, Anmol Kumar, Aman Negi, and Nidhi Chandra. "Abusive Language Detection in Speech Dataset." International Journal for Research in Applied Science and Engineering Technology 11, no. 5 (2023): 436–39. http://dx.doi.org/10.22214/ijraset.2023.51463.

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Abstract: In the topic, speech recognition there is a rapid increasing in it into area of engineering technology. Speech recognition delivers many different kinds of pros and it's been uses in a multiple field. Having a different type of language placed a restriction of talking between people. From this project we will going to create and develop to supports different systems that allows persons in that place or situation to change of data through interacting with end device users by voice or speech, after developing this project we will destroy the barriers of communication. This project take
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Dhankar, Simran, Utkarsh Jain, and Vansh Bansal. "Automated Detection and Symbolic Replacement of Abusive Language using Deep Learning in Online Platforms." International Journal for Research in Applied Science and Engineering Technology 11, no. 12 (2023): 1439–44. http://dx.doi.org/10.22214/ijraset.2023.57629.

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Abstract: This research addresses the pressing challenge of curbing abusive language in online platforms through the implementation of advanced deep learning techniques. Focused on Natural Language Processing (NLP), this study aims to develop a robust automated censorship system capable of swiftly detecting and mitigating abusive content. By leveraging the prowess of deep learning algorithms, particularly in neural network architectures, the proposed system aims to proactively identify and censor abusive language across various online platforms. Key components involve training models to compre
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Bartneck, Christoph, and Jun Hu. "Exploring the abuse of robots." Interaction Studies 9, no. 3 (2008): 415–33. http://dx.doi.org/10.1075/is.9.3.04bar.

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Robots have been introduced into our society, but their social role is still unclear. A critical issue is whether the robot’s exhibition of intelligent behaviour leads to the users’ perception of the robot as being a social actor, similar to the way in which people treat computers and media as social actors. The first experiment mimicked Stanley Milgram’s obedience experiment, but on a robot. The participants were asked to administer electric shocks to a robot, and the results show that people have fewer concerns about abusing robots than about abusing other people. We refined the methodology
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Song, Rui, Fausto Giunchiglia, Yingji Li, Lida Shi, and Hao Xu. "Measuring and mitigating language model biases in abusive language detection." Information Processing & Management 60, no. 3 (2023): 103277. http://dx.doi.org/10.1016/j.ipm.2023.103277.

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Alderton, Kirsty, and Carol A. Ireland. "Child Sexual Exploitation: Definition and the importance of language." Abuse: An International Impact Journal 1, no. 1 (2020): 49–58. http://dx.doi.org/10.37576/abuse.2020.004.

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Dixon, Rosalind. "Abusive Feminism." Boston College Law Review 66, no. 2 (2025): 477–537. https://doi.org/10.70167/tugr8760.

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The language of gender equality is increasingly popular worldwide. Yet, it is used both to advance women’s rights and justify the rollback of commitments to equality and democracy. This kind of “abusive feminism” is also arguably on the rise: would-be authoritarian actors today often attempt simultaneously to appeal both to conservative anti-feminist and feminist voters. In one breath, authoritarian actors condemn feminist ideas, and in the other, they selectively and opportunistically advance the language, if not substance, of women’s rights and ideas about women’s descriptive representation.
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Sher, Arslan, and Iqra Mashkoor. "Rising Ratio of Abusive Terms in Our Society: Its Causes and Effects." Journal of Asian Development Studies 13, no. 3 (2024): 1160–66. http://dx.doi.org/10.62345/jads.2024.13.3.94.

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This research delves deeply into the upsurge of abusive language permeating our society, meticulously exploring its origins, manifestations, and ensuing repercussions. Through a systematic approach, interviews were conducted with students from Hazara University, unravelling the multifaceted facets of this linguistic phenomenon. The study discerns that the prevalence of abusive terms in everyday discourse is often rooted in varied intentions. Individuals employ such language as a means to establish camaraderie, assert dominance, alleviate personal frustrations, or, on occasion, as inadvertent s
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Halper, Thomas. "Orwellian Opinions: The Language of Power and the Power of Language." British Journal of American Legal Studies 11, no. 1 (2021): 153–71. http://dx.doi.org/10.2478/bjals-2022-0003.

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Abstract In 1984 and other writings, George Orwell explored the language of power and the power of language. As illustrations of the abuses he identified, this essay analyzes a pair of famous constitutional opinions, Justice Brown's Plessy v. Ferguson and Justice Douglas’ Griswold v. Connecticut.
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Culp, Rex E., Ruth V. Watkins, Harriet Lawrence, Dana Letts, Donna J. Kelly, and Mabel L. Rice. "Maltreated children's language and speech development: abused, neglected, and abused and neglected." First Language 11, no. 33 (1991): 377–89. http://dx.doi.org/10.1177/014272379101103305.

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Andersen, Torbjørn Herlof. "Speaking About the Unspeakable: Sexually Abused Men Striving Toward Language." American Journal of Men's Health 2, no. 1 (2007): 25–36. http://dx.doi.org/10.1177/1557988307308107.

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Traditionally, sexual abuse of males has not been an issue of priority among politicians or researchers. When addressed, focus is often on context or harmful effects of the abuse. This article is based on the idea of reality as socially constructed, examining possible ways for sexually abused males to come to terms with their experiences. The emphasis is on accessible discursive resources on “the abused male” and how cultural stereotypes of manliness influence and limit individual and societal constructions. An important key to reconstruction of abuse history and selfhood lies in acceptance of
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Puspendu Biswas. "Comparative Analysis of Identifying Abusive Language on Twitter." Journal of Information Systems Engineering and Management 10, no. 40s (2025): 477–82. https://doi.org/10.52783/jisem.v10i40s.7317.

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The context-sensitive nature of online aggression presents significant challenges in annotating extensive data collections. Previous datasets utilized for detecting abusive language have proven inadequate in size for the effective training of deep learning models. Recently, a more substantial and reliable dataset titled Hate and Abusive Speech on Twitter has been made available. Nevertheless, this dataset has yet to be thoroughly explored to realize its full potential. In this paper, we present the inaugural comparative analysis of various learning models applied to the Hate and Abusive Speech
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Allen, Rhianon, and Gail A. Wasserman. "Origins of language delay in abused infants." Child Abuse & Neglect 9, no. 3 (1985): 335–40. http://dx.doi.org/10.1016/0145-2134(85)90029-8.

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Sylvestre, Audette, Ève-Line Bussières, and Caroline Bouchard. "Language Problems Among Abused and Neglected Children." Child Maltreatment 21, no. 1 (2015): 47–58. http://dx.doi.org/10.1177/1077559515616703.

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Amjad, Maaz, Noman Ashraf, Grigori Sidorov, Alisa Zhila, Liliana Chanona-Hernandez, and Alexander Gelbukh. "Automatic Abusive Language Detection in Urdu Tweets." Acta Polytechnica Hungarica 19, no. 10 (2022): 143–63. http://dx.doi.org/10.12700/aph.19.10.2022.10.9.

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Alrashidi, Bedour, Amani Jamal, Imtiaz Khan, and Ali Alkhathlan. "A review on abusive content automatic detection: approaches, challenges and opportunities." PeerJ Computer Science 8 (November 9, 2022): e1142. http://dx.doi.org/10.7717/peerj-cs.1142.

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The increasing use of social media has led to the emergence of a new challenge in the form of abusive content. There are many forms of abusive content such as hate speech, cyberbullying, offensive language, and abusive language. This article will present a review of abusive content automatic detection approaches. Specifically, we are focusing on the recent contributions that were using natural language processing (NLP) technologies to detect the abusive content in social media. Accordingly, we adopt PRISMA flow chart for selecting the related papers and filtering process with some of inclusion
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Jorgensen, Mackenzie, Minho Choi, and Marco Niemann. "Abusive Language Detection Using Auto-Machine Learning for Multiple Languages." Veritas: Villanova Research Journal 1 (September 5, 2019): 3–4. https://doi.org/10.61372/vvrj.v1i0.2453.

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News outlets and social media platforms struggle to find efficient and effective methods of moderating abusive online comments and posts. These comments can be extremely harmful to both users and businesses. Thus, abusive comment moderation is vital for the online comment section. Many companies do not have enough people to moderate comments manually; therefore, they need semi-automated comment moderation tools. Through this research, we explore the answer to the question of how Auto-Machine Learning can categorize and detect abusive English and German tweets. To begin, we will select data set
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Alrashidi, Bedour, Amani Jamal, and Ali Alkhathlan. "Abusive Content Detection in Arabic Tweets Using Multi-Task Learning and Transformer-Based Models." Applied Sciences 13, no. 10 (2023): 5825. http://dx.doi.org/10.3390/app13105825.

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Different social media platforms have become increasingly popular in the Arab world in recent years. The increasing use of social media, however, has also led to the emergence of a new challenge in the form of abusive content, including hate speech, offensive language, and abusive language. Existing research work focuses on automatic abusive content detection as a binary classification problem. In addition, the existing research work on the automatic detection task surrounding abusive Arabic content fails to tackle the dialect-specific phenomenon. Consequently, this has led to two important is
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Künnapas, Kaido. "Legal Engineering of the Anti-Abuse Rule in ATAD: Architecture of the Regression Tree Model." TalTech Journal of European Studies 11, no. 2 (2021): 65–82. http://dx.doi.org/10.2478/bjes-2021-0015.

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Abstract Every taxable arrangement is subject to an anti-abuse test. Abusive arrangements are treated as not valid for tax purposes, which is similar to the treatment of artificial arrangements in civil law. The European Union has introduced in its Anti-Tax Avoidance Directive a general anti-abuse test which must be transposed into the domestic laws of Member States. Such a test has its inner structure, consisting of an elimination and requalification stage, while the elimination stage entails genuineness and a tax benefit test. The general anti-abuse test has a great potential (or scalability
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Jadmiko, Rahmad Setyo, and Rian Damariswara. "Analisis Bahasa Kasar yang Ditirukan Anak Remaja dari Media Sosial Tiktok di Desa Mojoarum Kecamatan Gondang Kabupaten Tulungagung." Stilistika: Jurnal Pendidikan Bahasa dan Sastra 15, no. 2 (2022): 227. http://dx.doi.org/10.30651/st.v15i2.13162.

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Analysis of Abusive Language Imitated By Adolescents From Tiktok Social Media in Mojoarum Village, Gondang District, Tulungagung RegencyABSTRAKSelama masa pandemi, eksistensi aplikasi Tiktok semakin kuat. Aplikasi Tiktok mempermudah para konten kreator pemula untuk membuat video singkat yang menarik perhatian. Banyak isi dari video tersebut yang berisi ujaran-ujaran tidak pantas, salah satunya bahasa kasar. Anak remaja yang melihat isi konten tersebut, tentu saja belum bisa mempertimbangkan apakah ujaran tersebut layak jika diucapkan di khalayak umum. Banyak dari mereka menirukan bahasa kasar
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Haritha, T., and M. Divya. "Unraveling the Tyranny: Exploring the Abusive Use of Power in Animal Farms." Shanlax International Journal of Arts, Science and Humanities 11, S2-March (2024): 79–81. http://dx.doi.org/10.34293/sijash.v11is2-march.7517.

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It is common for strong leaders to take advantage of common people, frequently by abusing their position of control and keeping the public silent. Similar to what transpired in the Soviet Union, George Orwell illustrates in Animal Farm how education and knowledge may be used as instruments of ultimate authority, resulting in the oppression and misery of the ignorant. The purposeful employment of ambiguous language and intimidation techniques allowed leaders to control people for their personal benefit, creating laws and disseminating false information to further their agendas. Power might have
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Eronen, Juuso, Michal Ptaszynski, Fumito Masui, Masaki Arata, Gniewosz Leliwa, and Michal Wroczynski. "Transfer language selection for zero-shot cross-lingual abusive language detection." Information Processing & Management 59, no. 4 (2022): 102981. http://dx.doi.org/10.1016/j.ipm.2022.102981.

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Vidgen, Bertie, and Leon Derczynski. "Directions in abusive language training data, a systematic review: Garbage in, garbage out." PLOS ONE 15, no. 12 (2020): e0243300. http://dx.doi.org/10.1371/journal.pone.0243300.

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Data-driven and machine learning based approaches for detecting, categorising and measuring abusive content such as hate speech and harassment have gained traction due to their scalability, robustness and increasingly high performance. Making effective detection systems for abusive content relies on having the right training datasets, reflecting a widely accepted mantra in computer science: Garbage In, Garbage Out. However, creating training datasets which are large, varied, theoretically-informed and that minimize biases is difficult, laborious and requires deep expertise. This paper systemat
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Tartory, Raeda, Ogareet Khoury, Anoud Tayyeb, Areen Al-Qudah, and Nuwar Al-Akash. "Critical Discourse Analysis of Verbal Violence in William Shakespeare's Merchant of Venice." Theory and Practice in Language Studies 12, no. 9 (2022): 1900–1910. http://dx.doi.org/10.17507/tpls.1209.24.

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The combination of Critical Discourse Analysis and verbal violence is an entirely new field that needs to be widely explored and this study takes an in-depth dive into this using the literature, ‘Merchant of Venice' by one of the canons of literature, William Shakespeare. In doing this, this study identifies verbally abusive speeches from the text, categorizes and analyzes them to reveal the common patterns of violence in the speeches of abusers. This analysis aims to reveal the structure abusers use and the effect that verbal abuses have on their victims. Following the tradition of Critical D
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Ashraf, Noman, Arkaitz Zubiaga, and Alexander Gelbukh. "Abusive language detection in youtube comments leveraging replies as conversational context." PeerJ Computer Science 7 (October 8, 2021): e742. http://dx.doi.org/10.7717/peerj-cs.742.

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Nowadays, social media experience an increase in hostility, which leads to many people suffering from online abusive behavior and harassment. We introduce a new publicly available annotated dataset for abusive language detection in short texts. The dataset includes comments from YouTube, along with contextual information: replies, video, video title, and the original description. The comments in the dataset are labeled as abusive or not and are classified by topic: politics, religion, and other. In particular, we discuss our refined annotation guidelines for such classification. We report a nu
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Ashford, Robert David, Austin Brown, and Brenda Curtis. "Expanding language choices to reduce stigma." Health Education 119, no. 1 (2019): 51–62. http://dx.doi.org/10.1108/he-03-2018-0017.

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Purpose Public perception has been found to be influenced by the words used to describe those with behavioral health disorders, such that using terms like “substance abuser” can lead to higher levels of stigma. The purpose of this paper is to identify additional stigmatizing and empowering terms that are commonly used by different stakeholders. Design/methodology/approach Using digital Delphi groups, the paper identifies positive and negative terms related to substance use disorder (SUD) from three distinct stakeholder groups: individuals in recovery, impacted family members and loved ones, an
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Shou, Sihan. "Psychology Behind Aggressive Language Used in Honor of Kings." Communications in Humanities Research 7, no. 1 (2023): 193–200. http://dx.doi.org/10.54254/2753-7064/7/20230883.

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Multiplayer Online Battle Arena (MOBA) on mobile phones is one of the most popular gaming styles in recent years. One of the representative games is Honor of Kings. People search for entertainment and emotional release in the game. This creates the problem of aggressive language use in Honor of Kings. This paper investigates the phenomenon of aggressive language in Honor of Kings and the psychology and reasons behind it. Analysis of existing literature and research on similar topics were used in this paper to examine the psychology and reasons. Factors like anonymity, competitiveness, and sexi
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Leung, Lai-Ching. "Deconstructing the Myths About Intimate Partner Violence: A Critical Discourse Analysis of News Reporting in Hong Kong." Journal of Interpersonal Violence 34, no. 11 (2016): 2227–45. http://dx.doi.org/10.1177/0886260516660298.

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This article depicts the dominant discourses on intimate partner violence (IPV) in newspaper reports and discusses how the myths about IPV are perpetuated in news reporting in Hong Kong. The myths about IPV consist of a set of prevalent assumptions in society that adversely affect the help-seeking behavior of survivors and impede social change. It is sometimes assumed that the victims cause the abuse and are personally responsible for solving the problem. This study reveals how news reporting in Hong Kong perpetuates the myths about IPV by engendering unequal power relations through the langua
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46

Dorshetwar, Kirti. "Use of Abusive Language: Shobha De?s Rebelian Style of Writing." International Journal of Scientific Engineering and Research 6, no. 12 (2018): 148–49. https://doi.org/10.70729/ijser18477.

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Song, Rui, Fausto Giunchiglia, Qiang Shen, Nan Li, and Hao Xu. "Improving Abusive Language Detection with online interaction network." Information Processing & Management 59, no. 5 (2022): 103009. http://dx.doi.org/10.1016/j.ipm.2022.103009.

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48

Ashford, Robert D., Austin M. Brown, and Brenda Curtis. "“Abusing Addiction”: Our Language Still Isn’t Good Enough." Alcoholism Treatment Quarterly 37, no. 2 (2018): 257–72. http://dx.doi.org/10.1080/07347324.2018.1513777.

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49

Cooper, M. Townsend, Edgardo Szyld, and Paul M. Darden. "Abusive head trauma in Spanish language medical literature." Child Abuse & Neglect 58 (August 2016): 173–79. http://dx.doi.org/10.1016/j.chiabu.2016.07.001.

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50

Bridgers, Sue Ellen. "Learning a Language of Nonviolence." English Journal 89, no. 5 (2000): 71–73. http://dx.doi.org/10.58680/ej2000602.

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Describes the author’s experience writing a novel which she believed was a love story, but came to realize was a story about domestic violence. Argues for a strong role for young adult literature in examining the realities of abusive, confining relationships. Notes that young people have been helped in dealing with their own dilemmas by seeing themselves in such stories.
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