31 results on '"Hatespeech"'
Search Results
2. Detection of cyberhate speech towards female sport in the Arabic Xsphere.
- Author
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Alhayan, Fatimah, Almobarak, Monerah, Shalabi, Hawazen, Alshubaili, Luluwah, Albatati, Renad, Alqahtani, Wafa, and Alhaidari, Nofe
- Subjects
SPEECH perception ,OLDER athletes ,WOMEN'S sports ,MACHINE learning ,SPORTS participation ,SPEECH ,HATE speech - Abstract
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 solution for detecting hate speech targeting women in sports on platforms like X, with a particular focus on Arabic, a challenging domain with limited prior research. In Study 1, semi-structured interviews with 33 Saudi female athletes and sports fans revealed common forms of hate speech, including gender-based derogatory comments, misogyny, and appearance-related discrimination. Building upon the foundations laid by Study 1, Study 2 addresses the pressing need for effective interventions to combat hate speech against women in sports on social media by evaluating machine learning (ML) models for identifying hate speech targeting women in sports in Arabic. A dataset of 7,487 Arabic tweets was collected, annotated, and pre-processed. Term frequency-inverse document frequency (TF-IDF) and part-of-speech (POS) feature extraction techniques were used, and various ML algorithms were trained Random Forest consistently outperformed, achieving accuracy (85% and 84% using TF-IDF and POS, respectively) compared to other methods, demonstrating the effectiveness of both feature sets in identifying Arabic hate speech. The research contribution advances the understanding of online hate targeting Arabic women in sports by identifying various forms of such hate. The systematic creation of a meticulously annotated Arabic hate speech dataset, specifically focused on women’s sports, enhances the dataset’s reliability and provides valuable insights for future research in countering hate speech against women in sports. This dataset forms a strong foundation for developing effective strategies to address online hate within the unique context of women’s sports. The research findings contribute to the ongoing efforts to combat hate speech against women in sports on social media, aligning with the objectives of Saudi Arabia’s Vision 2030 and recognizing the significance of female participation in sports. [ABSTRACT FROM AUTHOR]
- Published
- 2024
- Full Text
- View/download PDF
3. Detection of cyberhate speech towards female sport in the Arabic Xsphere
- Author
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Fatimah Alhayan, Monerah Almobarak, Hawazen Shalabi, Luluwah Alshubaili, Renad Albatati, Wafa Alqahtani, and Nofe Alhaidari
- Subjects
Natural language processing ,Hatespeech ,Female sport ,Machine learning ,Electronic computers. Computer science ,QA75.5-76.95 - Abstract
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 solution for detecting hate speech targeting women in sports on platforms like X, with a particular focus on Arabic, a challenging domain with limited prior research. In Study 1, semi-structured interviews with 33 Saudi female athletes and sports fans revealed common forms of hate speech, including gender-based derogatory comments, misogyny, and appearance-related discrimination. Building upon the foundations laid by Study 1, Study 2 addresses the pressing need for effective interventions to combat hate speech against women in sports on social media by evaluating machine learning (ML) models for identifying hate speech targeting women in sports in Arabic. A dataset of 7,487 Arabic tweets was collected, annotated, and pre-processed. Term frequency-inverse document frequency (TF-IDF) and part-of-speech (POS) feature extraction techniques were used, and various ML algorithms were trained Random Forest consistently outperformed, achieving accuracy (85% and 84% using TF-IDF and POS, respectively) compared to other methods, demonstrating the effectiveness of both feature sets in identifying Arabic hate speech. The research contribution advances the understanding of online hate targeting Arabic women in sports by identifying various forms of such hate. The systematic creation of a meticulously annotated Arabic hate speech dataset, specifically focused on women’s sports, enhances the dataset’s reliability and provides valuable insights for future research in countering hate speech against women in sports. This dataset forms a strong foundation for developing effective strategies to address online hate within the unique context of women’s sports. The research findings contribute to the ongoing efforts to combat hate speech against women in sports on social media, aligning with the objectives of Saudi Arabia’s Vision 2030 and recognizing the significance of female participation in sports.
- Published
- 2024
- Full Text
- View/download PDF
4. „Eine Einschätzung, die in Sekunden passieren muss". Eine qualitative Studie zu Gründen für ausbleibende Interventionen durch das pädagogische Schulpersonal bei Hatespeech unter Schüler:innen.
- Author
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Krause, Norman, Wachs, Sebastian, Bilz, Ludwig, and Schubarth, Wilfried
- Abstract
Copyright of Zeitschrift für Erziehungswissenschaft is the property of Springer Nature and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
- Published
- 2023
- Full Text
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5. Social media governance and strategies to combat online hatespeech in Germany.
- Author
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Stockmann, Daniela, Schlosser, Sophia, and Ksatryo, Paxia
- Subjects
PUBLIC relations personnel ,ACTIVISTS ,PUBLIC sector ,SOCIAL media in business ,CIVIL society ,POLITICAL organizations ,SOCIAL media - Abstract
Copyright of Policy & Internet is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
- Published
- 2023
- Full Text
- View/download PDF
6. Hass im Netz – Aggressivität und Toxizität von Hasskommentaren und Postings, Detektion und Analyse
- Author
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Demus, Christoph, Schütz, Mina, Probol, Nadine, Pitz, Jonas, Siegel, Melanie, Labudde, Dirk, Rüdiger, Thomas-Gabriel, Series Editor, and Bayerl, P. Saskia, Series Editor
- Published
- 2023
- Full Text
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7. Hatespeech, aber normal? : Empirische Evidenz von Hatespeech im Bundestagwahlkampf 2021 auf Facebook
- Author
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Sponholz, Liriam, Meuth, Anna-Maria, Weiberg-Salzmann, Mirjam, Fuchs, Martin, editor, and Motzkau, Martin, editor
- Published
- 2023
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8. Entmenschlichende Metaphern in ethnotroper ('fremdenfeindlicher') Hatespeech in sozialen Medien
- Author
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Geyer, Klaus, Androutsopoulos, Jannis, Series Editor, Marx, Konstanze, Series Editor, Beißwenger, Michael, Advisory Editor, Bubenhofer, Noah, Advisory Editor, Bucher, Hans-Jürgen, Advisory Editor, Heyd, Theresa, Advisory Editor, Hinrichs, Lars, Advisory Editor, Meier-Vieracker, Simon, Advisory Editor, Tienken, Susanne, Advisory Editor, Vogel, Friedemann, Advisory Editor, Bülow, Lars, editor, and Mroczynski, Robert, editor
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- 2023
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9. Dem Hass entgeg(n)en: Eine qualitative Studie zu den Interventionsstrategien, -zielen und -effekten des pädagogischen Schulpersonals bei Hatespeech in der Schule.
- Author
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Krause, Norman, Wachs, Sebastian, Bilz, Ludwig, and Schubarth, Wilfried
- Subjects
HATE speech ,SCHOOL involvement ,STUDENT speech ,NEGOTIATION ,PUNISHMENT - Abstract
Copyright of Zeitschrift für Pädagogik is the property of Julius Beltz GmbH & Co. KG Beltz Juventa and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
- Published
- 2023
- Full Text
- View/download PDF
10. Ablehnen, Anprangern, Beleidigen: Sexualitätsbezogene Meinungsdynamiken im Internet.
- Author
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Lemke, Richard
- Subjects
HATE speech ,PUBLIC opinion ,SOCIAL media ,INTERNET ,DISCOURSE - Abstract
Copyright of Zeitschrift für Sexualforschung is the property of Georg Thieme Verlag Stuttgart and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
- Published
- 2022
- Full Text
- View/download PDF
11. Ist das (schon) Hatespeech? – Eine qualitative Untersuchung zum Verständnis von Hatespeech unter pädagogischem Schulpersonal.
- Author
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Ballaschk, Cindy, Schulze-Reichelt, Friederike, Wachs, Sebastian, Krause, Norman, Wettstein, Alexander, Kansok-Dusche, Julia, Bilz, Ludwig, and Schubarth, Wilfried
- Abstract
Copyright of Zeitschrift für Bildungsforschung is the property of Springer Nature and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
- Published
- 2022
- Full Text
- View/download PDF
12. Schulbezogene Programme zum Umgang mit Hatespeech – Eine kriteriengeleitete Bestandsaufnahme.
- Author
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Seemann-Herz, Lisanne, Kansok-Dusche, Julia, Dix, Alexandra, Wachs, Sebastian, Krause, Norman, Ballaschk, Cindy, Schulze-Reichelt, Friederike, and Bilz, Ludwig
- Abstract
Copyright of Zeitschrift für Bildungsforschung is the property of Springer Nature and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
- Published
- 2022
- Full Text
- View/download PDF
13. Euphoria. Series juveniles y modulación de valores entre las jóvenes Z frente al discurso de odio.
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Uli de la Fuente, Macarena and Martín-Ramallal, Pablo
- Subjects
GIRLS - Published
- 2022
- Full Text
- View/download PDF
14. Framing Kasus Ujaran Kebencian di Televisi
- Author
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Faishal Luthfi Wanda Bukhroni and Vinisa N. Aisyah
- Subjects
ahmad dhani ,framing ,ujaran kebencian ,tvone ,hatespeech ,Social Sciences - Abstract
Ahmad Dhani telibat dalam kasus ujaran kebencian dan akhirnya divonis bersalah atas cuitannya di Twitter. Penelitian ini bertujuan untuk mengetahui bagaimana TvOne membingkai berita kasus ujaran kebencian yang dilakukan oleh Ahmad Dhani. Model framing yang digunakan dalam penelitian ini adalah model framing milik Robert N. Entman yang berfokus pada pemilihan isu dan penonjolan aspek dari suatu berita. Penelitian ini menggunakan metode kualitatif dengan menggunakan tiga berita TvOne pada periode November 2017 sampai Februari 2019 sebagai unit analisisnya, yang dianalisa dengan melihat teks, durasi dan scene. Berdasarkan element framing Entman yaitu Define Problem, Diagnose Cause, Moral Judgement, dan Treatment Recommendation, hasil penelitian menunjukkan tiga hal dalam pemberitaan tersebut, yaitu ketidakberimbangan narasumber, pengulangan narasi Ahmad Dhani tidak bersalah, dan kontroversi UU ITE di Indonesia. Ahmad Dhani was involved in the case of hate speech and was ultimately convicted of his post on Twitter. This study aims to find out how TvOne framed the case of hate speech committed by Ahmad Dhani. The framing model used in this study is Robert N. Entman's framing model, focusing on the selection of issues and highlighting aspects of a story. This study used a qualitative method using three TvOne clips from November 2017 until February 2019 as the unit of analysis, analyzed by looking at the text, duration and scene. Based on Entman's framing elements such as Define Problem, Diagnosis Cause, Moral Judgment, and Treatment Recommendation, the results of the study identified three frames in the news, including the imbalance of the sources, the narrative of Ahmad Dhani's innocence, and the controversy over the ITE Law in Indonesia.
- Published
- 2020
- Full Text
- View/download PDF
15. „Dann machen halt alle mit." Eine qualitative Studie zu Beweggründen und Motiven für Hatespeech unter Schüler*innen.
- Author
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Ballaschk, Cindy, Wachs, Sebastian, Krause, Norman, Schulze-Reichelt, Friederike, Kansok-Dusche, Julia, Bilz, Ludwig, and Schubarth, Wilfried
- Subjects
PEER pressure ,HATE speech ,AFFILIATION (Psychology) ,TEENAGERS ,HATE ,SCHOOL environment - Abstract
Copyright of Discourse: Journal of Childhood & Adolescense Research / Diskurs Kindheits- und Jugendforschung is the property of Verlag Barbara Budrich GmbH and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
- Published
- 2021
- Full Text
- View/download PDF
16. „Ich lass mich da nicht klein machen!" Eine qualitative Studie zur Bewältigung von Hatespeech durch Schüler/innen.
- Author
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Krause, Norman, Ballaschk, Cindy, Schulze-Reichelt, Friederike, Kansok-Dusche, Julia, Wachs, Sebastian, Schubarth, Wilfried, and Bilz, Ludwig
- Abstract
Copyright of Zeitschrift für Bildungsforschung is the property of Springer Nature and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
- Published
- 2021
- Full Text
- View/download PDF
17. Playing Against Hate Speech
- Author
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Susana Raquel Costa, Mirian Nogueira Tavares, Bruno Mendes Silva, Paulo Falcão Alves, Filipa Cerol, and Beatriz Isca
- Subjects
videogames ,hatespeech ,teens ,game literacy ,Communication. Mass media ,P87-96 - Abstract
This article proposes the study and analysis of the state-of-the-art in video game panorama, focusing on the tendency to use hate speech among young players. The immersion of the player in the symbolic arena of the game, where everything becomes possible, raises questions about the relationship between video games in the virtual world, and the player’s behavior in the physical world. It is shown that anonymity and the creation of communities and game groups can lead to the exclusion of and attacks to minorities; chat communications can facilitate sharing interests and game techniques as well as insults in times of tension between players, leading to imperative reflection on the role of gaming platforms in the control of shared content. Considering the boundless possibilities of video games, this article also reflects on game literacy and on how games have the potential to become powerful learning tools.
- Published
- 2020
- Full Text
- View/download PDF
18. 'Dann machen halt alle mit.' Eine qualitative Studie zu Beweggründen und Motiven für Hatespeech unter Schüler*innen
- Author
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Cindy Ballaschk, Sebastian Wachs, Julia Kansok-Dusche, Wilfried Schubarth, Friederike Schulze-Reichelt, Ludwig Bilz, and Norman Krause
- Subjects
Hatespeech ,Hassrede ,Gründe ,hate speech ,reasons ,Social Psychology ,Social Problems ,school ,General Mathematics ,Sprachverhalten ,soziale Probleme ,050109 social psychology ,Context (language use) ,ddc:150 ,Political science ,Psychology ,0501 psychology and cognitive sciences ,language behavior ,Practical implications ,Schule ,motive ,05 social sciences ,Jugendlicher ,Motiv ,Diskriminierung ,hate ,ddc:360 ,Psychologie ,Soziale Probleme und Sozialdienste ,adolescent ,Hass ,School environment ,Social problems and services ,Sozialpsychologie ,Humanities ,discrimination ,050104 developmental & child psychology - Abstract
Zusammenfassung Das Thema Hatespeech ruckt immer mehr in den Fokus der Offentlichkeit und der Forschung. Im Gegensatz zu Hatespeech im Internet wird jedoch Hatespeech unter Jugendlichen, die von Angesicht zu Angesicht im Schulkontext ausgeubt wird, kaum beachtet. Hier setzt die vorliegende Studie an, in der Schuler*innen (n = 55), Lehrkrafte (n = 18) und Sozialpadagog*innen (n =16) auf der Basis leitfadengestutzter Interviews dazu befragt wurden, was mogliche Beweggrunde und Motive dafur sind, dass Schuler*innen Hatespeech in der Lebenswelt Schule und online ausuben. Die Ergebnisse zeigen, dass mogliche Beweggrunde fur Hatespeech Angst vor Statusverlust, Gruppendruck, Provokation, Spas, politisch-ideologische Uberzeugung und Kompensation von Frust- und Minderwertigkeitsgefuhlen sind. Daruber hinaus wird verdeutlicht, dass sich hinter diesen Grunden fur Hatespeech oftmals Grundmotive nach Macht und Zugehorigkeit abzeichnen. Die Ergebnisse werden in Bezug auf anschliesende Forschung und praktische Implikationen diskutiert. Schlagworter: Hatespeech, Hassrede, Grunde, Motive, Schule ----- “Then everyone just goes along with it.” A qualitative study on reasons and motives of hate speech among students Abstract Interest in the topic of hate speech has increased steadily in both the public realm and that of scientific research. Seldom addressed, however, is the proliferation of hate speech amongst adolescents, experienced face-to-face in the school context. To this end, the present study interviewed students (n = 55), teachers (n = 18) and social workers (n = 16), using guideline-based interviews to discuss reasons and motives for students practicing hate speech both online and in the school environment. Results showed that reported reasons for hate speech include fear of diminishing status, peer group pressure, provocation, fun, political-ideological convictions, and compensation for feelings of frustration and inferiority. Additionally, reasons for hate speech are often associated with the basic motives need for power and affiliation. The findings are discussed in relation to future research and practical implications. Keywords: hate speech, reasons, motives, school ----- Bibliographie: Ballaschk, Cindy/Wachs, Sebastian/Krause, Norman/Schulze-Reichelt, Friederike/Kansok-Dusche, Julia/Bilz, Ludwig/Schubarth, Wilfried: „Dann machen halt alle mit.“ Eine qualitative Studie zu Beweggrunden und Motiven fur Hatespeech unter Schuler*innen, Diskurs Kindheits- und Jugendforschung / Discourse. Journal of Childhood and Adolescence Research, 4-2021, Online-First, S. 1-18. https://doi.org/10.3224/diskurs.v16i4.01
- Published
- 2021
19. Framing Kasus Ujaran Kebencian di Televisi
- Author
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Vinisa Nurul Aisyah and Faishal Luthfi Wanda Bukhroni
- Subjects
framing ,hatespeech ,tvone ,Social Sciences ,ujaran kebencian ,ahmad dhani - Abstract
Ahmad Dhani telibat dalam kasus ujaran kebencian dan akhirnya divonis bersalah atas cuitannya di Twitter. Penelitian ini bertujuan untuk mengetahui bagaimana TvOne membingkai berita kasus ujaran kebencian yang dilakukan oleh Ahmad Dhani. Model framing yang digunakan dalam penelitian ini adalah model framing milik Robert N. Entman yang berfokus pada pemilihan isu dan penonjolan aspek dari suatu berita. Penelitian ini menggunakan metode kualitatif dengan menggunakan tiga berita TvOne pada periode November 2017 sampai Februari 2019 sebagai unit analisisnya, yang dianalisa dengan melihat teks, durasi dan scene . Berdasarkan element framing Entman yaitu Define Problem, Diagnose Cause, Moral Judgement, dan Treatment Recommendation , hasil penelitian menunjukkan tiga hal dalam pemberitaan tersebut, yaitu ketidakberimbangan narasumber, pengulangan narasi Ahmad Dhani tidak bersalah, dan kontroversi UU ITE di Indonesia. Ahmad Dhani was involved in the case of hate speech and was ultimately convicted of his post on Twitter. This study aims to find out how TvOne framed the case of hate speech committed by Ahmad Dhani. The framing model used in this study is Robert N. Entman's framing model, focusing on the selection of issues and highlighting aspects of a story. This study used a qualitative method using three TvOne clips from November 2017 until February 2019 as the unit of analysis, analyzed by looking at the text, duration and scene. Based on Entman's framing elements such as Define Problem, Diagnosis Cause, Moral Judgment, and Treatment Recommendation, the results of the study identified three frames in the news, including the imbalance of the sources, the narrative of Ahmad Dhani's innocence, and the controversy over the ITE Law in Indonesia.
- Published
- 2020
20. La frontière entre opinion et discours de haine dans les tweets de personnalités politiques belges francophones
- Author
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UCL - SSH/ILC/PLIN - Pôle de recherche en linguistique, De Cock, Barbara, Dupret, Pauline, Hambye, Philippe, Pizarro Pedraza, Andrea, UCL - SSH/ILC/PLIN - Pôle de recherche en linguistique, De Cock, Barbara, Dupret, Pauline, Hambye, Philippe, and Pizarro Pedraza, Andrea
- Abstract
Nous présenterons une analyse de messages à la frontière entre opinion et discours de haine, basée sur un corpus de tweets de personnalités politiques belges francophones. Les tweets ont été collectés au cours de la campagne électorale de mai 2019 et durant les mois qui ont précédé cette campagne. Nous sélectionnons quatre personnalités importantes par parti. Nous montrerons que les messages du corpus analysé contiennent très peu de stratégies incitant ouvertement à la haine mais que certains messages se situent à la frontière entre opinion et discours de haine. Ceux-ci peuvent inclure des représentations polarisantes ou stéréotypées de certaines communautés, basées sur des critères liés à l’ethnicité, la religion ou l’orientation sexuelle. Nous analyserons les stratégies linguistiques utilisées pour construire ces représentations polarisantes, comme la déixis, la généralisation, le langage métaphorique, et la construction de l’agentivité et de l’intentionnalité. En outre, nous montrerons comment la combinaison de ces stratégies peut contribuer à la création d’un discours qui représente certaines communautés comme une menace. En dernier lieu, nous comparerons les résultats de cette analyse avec les productions des mêmes personnalités politiques sur Facebook.
- Published
- 2021
21. Playing Against Hate Speech
- Author
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Costa, Susana Raquel, Tavares, Mirian Nogueira, Silva, Bruno Mendes, Alves, Paulo Falcão, Cerol, Filipa, and Isca, Beatriz
- Subjects
teens ,hatespeech ,Communication. Mass media ,ComputingMilieux_PERSONALCOMPUTING ,game literacy ,videogames ,P87-96 - Abstract
This article proposes the study and analysis of the state-of-the-art in video game panorama, focusing on the tendency to use hate speech among young players. The immersion of the player in the symbolic arena of the game, where everything becomes possible, raises questions about the relationship between video games in the virtual world, and the player’s behavior in the physical world. It is shown that anonymity and the creation of communities and game groups can lead to the exclusion of and attacks to minorities; chat communications can facilitate sharing interests and game techniques as well as insults in times of tension between players, leading to imperative reflection on the role of gaming platforms in the control of shared content. Considering the boundless possibilities of video games, this article also reflects on game literacy and on how games have the potential to become powerful learning tools., Journal of Digital Media & Interaction, vol. 3 n.º 6 (2020): Journal of Digital Media & Interaction, Vol.3, No.6
- Published
- 2020
22. ������������- ������������������ ������ ���������������� ������ ������������ ������ twitter : ���� ���������������������� Donald Trump ������ ������������ ����������������
- Subjects
ComputingMilieux_GENERAL ,Social media ,���������������� ������������ ,Populism ,ComputingMilieux_THECOMPUTINGPROFESSION ,Hatespeech ,�������� �������������� ������������������ ,Data_CODINGANDINFORMATIONTHEORY ,InformationSystems_MISCELLANEOUS ,GeneralLiterature_MISCELLANEOUS ,������������-������������������ - Abstract
������ �������������� ������������ �������������������������������� ���������������� �������������� ������ ���������������� ������ ���������������� �������������������� ������ twitter, ������ ������������������ ���������������� (Donald Trump ��� ���������� ����������������) ������ ������ ������������������������ ���������� (��.��.��. - ������������), ���������������������� ���� ���������������������� ���������� ������������ �������� ������ ����������������, �������� �������������� ������������������ ������ ������������������ ������������, �������� ���������� ��������. �������� ������ ���������������� ������ ���������������� ��������������������, ������������������ ������������������ ������������������ �������������������� ������ ���������������������� ������������������ ������������������, ���� ������������ ������������������������ ������ ��������������������. ������������, ������������������������ ���������� ������ ������������������ ������������, ���� ���������� ������������������ ���������������������� ������ ���� ������ ���������������� �������������� ������ �������� ������ ���������������� ������ ������������������ �������������������� ���������������� ���� ��������������������-������������������ ��������������, �������� ������ ������������ �������� ����������������������������. �������� ������ ������������������ ������ ���������������� ���������� ������ ������ ������������������ ������ �������� ������������������, �������������������� ������ ���������� ������������ �������� ������ �������� ���������������� ������ ������������ ���������������� ������ ������������������, �������� ������ ����������. ������ ������������������������, �������������� ���� ���� ������������������������ ������ �������������� ������������������������ ���� �������� ����������������, �������� �������� ������ ������ ������������������: ��) A������������������������, �������� ������ ���������������������� ������ ��������, ������ ������ ���������� ������ �������� ��������������, ������ ���������� ������ ���������������������� ������ ��������. ��) ������������������ ������������������������, �������� ������ ���������������������� ������ ������������������ �������� ������������������ ������ ������ ��.��.��., ������ ���� �������������������� �������� ���� ������ ��������. ��) ������������������������������, �������� ������ �������������������� ������ ������ ������������������ ������������ ������ ������������������ �������� ������ ���������������� ���������������������� ������������, �������� ������ ������ �������������������� �������� ����������, �������� ���������� ������������., In the present research, a thematic analysis and comparison of Donald Trump���s and Panos Kammenos��� twitter posts was made, to identify similarities and differences in the expression of populism and hate speech, in the public speech of politicians from two different countries (USA ��� Greece). Through the analysis of the politicians��� posts, certain thematic categories emerged that contain expressions of populism, which have been described and analyzed. Also, individuals and social groups which are systematically targeted by the two political figures were identified, and through the analysis of the thematic categories, the populist-semantic framework emerged, based on which they are targeted. By comparing the public discourse of the two politicians on twitter, we came to the common ground but also the differences in the way that populism was expressed through political speech in the two countries. More specifically, according to the results of the research, the following data appeared in the twitter posts of the two politicians: a) Expressions of anti-elitism, through the complaint of the elite, about the way it acts to the detriment of the interests of the people, b) Expressions of ���protest��� populism, through the denunciation of their political opponents and the media, for their cooperation with the elite c) Expressions of nationalism, through the xenophobia and the hate speech that they expressed against minority groups, but also through their aggressive speech against foreign states.
- Published
- 2020
- Full Text
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23. DISINTEGRASI SOSIAL DALAM KONTEN MEDIA SOSIAL FACEBOOK
- Author
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Lina Herlina
- Subjects
Hatespeech ,Intoleransi Keberagamaan ,Media Sosial ,Facebok ,media_common.quotation_subject ,Rhetoric ,Media studies ,Context (language use) ,Social media ,Sociology ,Meaning (existential) ,Ideology ,Social practice ,Utterance ,media_common ,Hatred - Abstract
At first, social media came as a solution for the community to facilitate communication and interaction virtually. However, due to the absence of strict regulation, it later changed into a means to spread the utterances of hate in the form of certain terms. The term cannot be understood by everyone. Therefore, researchers tried to dismantle the terms used, namely in terms of meaning and also the ideology of the use of the term. As for the term utterance of hatred which is used as material for analysis, among them are the short axis people, the people of the flat earth, the people of napkins, the children of the tablecloths, the children of the lewd, the children of camels / camel urine, the people of the micin, the children of cebong, the children of the camps, and the children of the negligee. The analysis was carried out using Fairclough's theory namely the dimensions of the text, discourse practice and social practice. Meanwhile, to dismantle its ideology is by using the theory of Jagger and F. Maier which consists of context, output of text, means of rhetoric, content and ideological statements, peculiarities and positions of discourse.
- Published
- 2018
24. Des messages à la frontière entre opinion et discours de haine. Une analyse de la communication des personnalités politiques belges francophones sur les réseaux sociaux
- Author
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UCL - SSH/ILC/PLIN - Pôle de recherche en linguistique, De Cock, Barbara, Hambye, Philippe, Dupret, Pauline, Pizarro Pedraza, Andrea, UCL - SSH/ILC/PLIN - Pôle de recherche en linguistique, De Cock, Barbara, Hambye, Philippe, Dupret, Pauline, and Pizarro Pedraza, Andrea
- Published
- 2019
25. The penalization of public expression
- Author
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Besse, Thomas, Observatoire des Mutations Institutionnelles et Juridiques (OMIJ), Gouvernance des Institutions et des Organisations (GIO), Université de Limoges (UNILIM)-Université de Limoges (UNILIM), Université de Limoges, and Damien Roets
- Subjects
[SHS.DROIT]Humanities and Social Sciences/Law ,Hatespeech ,Loi du 29 juillet 1881 ,Négationnisme ,Discours de haine ,Criminalization ,Negationism - Abstract
While the contours of freedom of expression have been regularly discussed in recent years, it is most frequently in the case of the regulation of public expression by criminal law that polemics are most heated. Indeed, it is certainly under this dimension, that is, when it consists in the direct exteriorization of thought directed towards an indeterminate public, that the expression has its most spectacular repercussions within a society. A source of citizen mobilization and collective thinking for the purpose of raising mentalities towards the common good, public expression can also constitute the ferment of antisocial behaviour by feeding enmities, intolerance and a criminal state of mind.Consequently, penalization, which refers to all the processes of criminal law intervention in a given field, is fully legitimate in the face of the dangers of immoderate public expression. However, penalization is struggling to find its bearings in establishing the criteria of its necessity and timeliness, at a time when the place taken by public expression within our society appears, more than ever, predominant. Penalization of public expression is first put to the test of its instrumentalization. The penal norm seems to suffer, nowadays, from an overestimation of its regulatory virtues in its creation and in its implementation in the area of public expression. Penalization of public expression is then put to the test of modernity. The evolution of technology places public expression at the heart of a profound change in its uses in our society, modifying the classic paradigms of the interplay between public expression and criminal law.; Si les contours de la liberté d’expression sont régulièrement discutés ces dernières années, c’est le plus fréquemment s’agissant de la régulation par le droit pénal de l’expression publique que les polémiques se font les plus vives. En effet, c’est assurément sous cette dimension, c’est-à-dire lorsqu’elle consiste dans l’extériorisation directe de la pensée dirigée vers un public indéterminé, que l’expression emporte ses répercussions les plus spectaculaires au sein d’une société. Source de mobilisations citoyennes et d’une réflexion collective aux fins de l’élévation des mentalités vers le bien commun, l’expression publique peut également constituer le ferment de comportements antisociaux par l’alimentation des inimitiés, de l’intolérance et d’un état d’esprit criminel. Partant, la pénalisation, qui désigne l’ensemble des processus d’intervention du droit pénal dans un domaine déterminé, se trouve pleinement légitimée face aux dangers d’une expression publique immodérée. Toutefois, la pénalisation peine à trouver ses repères dans l’établissement des critères de sa nécessité et de son opportunité, à une époque où la place prise par l’expression publique au sein de notre société apparaît, plus que jamais, prépondérante. La pénalisation de l’expression publique est d’abord mise à l’épreuve de son instrumentalisation. La norme pénale semble en effet souffrir, de nos jours, d’une surestimation de ses vertus régulatrices dans sa création et dans sa mise en oeuvre en matière d’expression publique. La pénalisation de l’expression publique est ensuite mise à l’épreuve de la modernité. L’évolution des techniques place en effet l’expression publique au cœur d’une mutation profonde de ses usages au sein de notre société, modifiant les paradigmes classiques du rapport entretenu par celle-ci avec le droit pénal.
- Published
- 2018
26. Arquitetura LSTM para classificação de discursos de ódio cross-lingual Inglês-PtBR
- Author
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Bispo, Thiago Dias and Macedo, Hendrik Teixeira
- Subjects
Redes neurais ,Hatespeech ,Redes sociais ,Deep learning ,Discursos de ódio ,Aprendizagem profunda ,LSTM ,CIENCIA DA COMPUTACAO [CIENCIAS EXATAS E DA TERRA] ,Memória de longo prazo ,Social networks ,Processamento de linguagem natural - Abstract
One of the consequences of the popularization of Internet access is the spread of insults and discriminatory messages, the so-called hatespeeches. They are comments that aim to discriminate against someone or a group of people because they belong to a certain group, usually minority, or have some characteristic common to other people. Fighting hates peech is a growing demand in real and virtual life as it profoundly affects the dignity of its victims. Detection of hatespeech is a difficult task because, in addition to natural language being inherently ambiguous, it requires a certain level of understanding of its linguistic structure. In many discourses, discrimination does not happen explicitly or with typical expressions: it is necessary world knowledge to recognize them. In addition, sometimes it is necessary to understand the context of the sentence to perceive its hateful content. Sarcasm is another huge challenge (even for humans) since its presence requires knowledge of the community and potentially of the user responsible for the comment for understanding their intent. Several approaches have been proposed for the hatespeech recognition task . Many authors consider the use of N-grams, of which those based on characters are more effective than those based on words. Combined or not with N-grams, lexical features were also evaluated, such as the presence or absence of negative words, classes or expressions indicative of insult, punctuation marks, letter repetitions, the presence of emoji, etc. Linguistic features were inefficient when used alone, such as POS tag, and the relationship between the terms of the dependency tree resulting from the syntax analysis. Recently, the most successful approach has used a neural network to create a distributed representation of the sentences present in a corpus of hatespeech, indicating that word embeddings training is a promising path in the area of hatespeech. Language drastically affects the tasks of Natural Language Processing (NLP), since most, if not all, words differ from one language to another, as well as their syntax, morphology, and linguistic construction. Thanks to this, works in English are not directly applicable in corpora of Portuguese language. In addition, corpora in Portuguese for hatespeech are rare, making researchers in the area to do all the construction work. In this dissertation we studied the use of deep cross-lingual Long Short-Term Memory (LSTM) model, trained with a hatespeech dataset translated from English in two different ways, preprocessed and vectorized with several strategies that were represented in 24 scenarios. The main approaches adopted included the training of embeddings through word index vectors (State of the Art technique), TFIDF vectors, N-grams vectors, with or without GloVe vocabulary, tested with the dataset constructed and labeled in this work and with another available in Portuguese. The inverted process was also tried out: we translated our corpus into English and compared the performance with its original version. With the embeddings resulting from the training process in each scenario, we used a Gradient Boosting Decision Tree (GBDT) as a means of improving classification. In fact, the results obtained with LSTM were improved in many scenarios. We achieved accuracy of up to 70 % in the experiments using the model written with the corpus in English and our dataset translated into this language. In others, traditional and successful techniques such as TFIDF vectors associated with an LSTM have not proved sufficient. Two important contributions of this work are: (i) proposal of an alternative research approach to attack the problem based on the translation of corpora and (ii) provision of a dataset of hatespeech in Portuguese to the community. Uma das consequências da popularização do acesso à Internet é a disseminação de insultos e mensagens discriminatórias, os chamados discursos de ódio (do inglês, hatespeech). São comentários que visam discriminar alguém ou um conjunto de pessoas por pertencerem a um certo grupo, normalmente minoritário, ou por possuírem alguma característica também comum a outras pessoas. O combate aos discursos de ódio é uma demanda crescente na vida real e virtual pois eles afetam profundamente a dignidade de suas vítimas. Detecção de discursos de ódio é uma tarefa difícil porque, além da linguagem natural ser inerentemente ambígua, ela exige certo nível de compreensão de sua estrutura linguística. Em muitos discursos, a discriminação não acontece de forma explícita ou com expressões típicas: é preciso ter conhecimento de mundo para reconhecê-las. Além disso, algumas vezes é necessário entender o contexto da frase para perceber seu teor odioso. O sarcasmo é outro desafio enorme (até para humanos) uma vez que sua presença exige conhecimento da comunidade e potencialmente do usuário responsável pelo comentário para o entendimento de sua intenção. Diversas abordagens foram propostas para reconhecimento do hatespeech. Muitos autores consideram N-Grams, dentre os quais aqueles baseados em caracteres mostram-se mais efetivos que aqueles baseados em palavras. Combinadas ou não aos N-Grams, features léxicas também foram estudadas, como a presença ou não de palavras negativas, classes ou expressões indicativas de insulto, sinais de pontuação, repetições de letras, presença de emojis etc. Features linguísticas mostraram-se ineficientes quando utilizadas isoladamente, como as POS tag, e a relação entre os termos da árvore de dependência resultante da análise sintática. Recentemente, a abordagem mais bem sucedida usou uma rede neural para criar uma representação distribuída das sentenças presentes em um corpus de discursos de ódio, indicando que o treinamento de word embeddings é um caminho promissor para a área. A língua afeta drasticamente as tarefas de Processamento de Linguagem Natural (PLN), uma vez que a maioria das palavras, se não todas, são diferentes de uma língua para outra, além de sua sintaxe, morfologia e construções linguísticas. Por esta razão, os trabalhos em língua inglesa não são diretamente aplicáveis em corpora de língua portuguesa, por exemplo. Além disso, corpora em português para discursos de ódio são raros, fazendo com que pesquisadores da área precisem realizar todo o trabalho de construção. Nessa dissertação, foi estudado o uso de um modelo deep cross-lingual Long Short-Term Memory (LSTM), treinado com um dataset de discursos de ódio traduzido do Inglês de duas diferentes maneiras, pré-processado e vetorizado com variadas estratégias que foram representadas em 24 cenários. As principais abordagens adotadas consideraram: o treinamento de embeddings através de vetores de índices de palavras (técnica Estado da Arte), vetores TFIDF, vetores N-Grams, com ou sem vocabulário GloVe, testados com o dataset construído e rotulado neste trabalho e com outro disponível em português. O processo invertido também foi experimentado: traduzimos o nosso corpus para o inglês e comparamos o desempenho com sua versão original. Com os embeddings resultantes do processo de treinamento em cada cenário, usamos uma Gradient Boosting Decision Tree (GBDT) como forma de melhorar a classificação e, de fato, os resultados obtidos com a LSTM foram melhorados em muitos cenários. Alcançamos precisão de até 70% nos experimentos usando o modelo treinado com o corpus em Inglês e nosso dataset traduzido para esta língua. Em outros, técnicas tradicionais e bem sucedidas como vetores TFIDF associados à uma LSTM não se mostraram suficientes. Duas importantes contribuições deste trabalho são: (i) proposta de uma abordagem de pesquisa alternativa de ataque ao problema baseada na tradução de corpora e a (ii) disponibilização de um dataset de discursos de ódio em língua portuguesa para a comunidade. São Cristóvão, SE
- Published
- 2018
27. Socially sensitive journalism: the language of hostility as a marker of psychological sentiments of society
- Subjects
hatespeech ,мовленнєва агресія ,мова ненависті ,контент-аналіз ,мова ворожнечі - Abstract
Робота спрямована на виявлення мови ворожнечі в пресі та встановлення причин і наслідків її використання в друкованих ЗМІ на прикладі всеукраїнської газети «День» та обласного видання «Сумщина». З’ясовано сутність поняття «мова ворожнечі» та визначено її класифікацію; встановлено тенденції поширення мови ворожнечі та причини її використання в друкованих медіа; здійснено аналіз видань «День» та «Сумщина» з погляду наявності в них мови ворожнечі; досліджено зв'язок між використанням мови ворожнечі та суспільно-політичними настроями в суспільстві, що впливають на мову газет.
- Published
- 2018
28. Talking about immigration to Europe. Analysis of facebook posts of Doctors without borders
- Author
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Šlédrová, Jasňa, Moree, Dana, and Muhič Dizdarevič, Selma
- Subjects
kontroverzní téma ,immigration ,public relations ,communication ,komunikace ,organizace občanské společnosti ,hatespeech ,imigrace ,Facebook ,civic sector ,controversial topic - Abstract
The subject of this diploma thesis is the potential of organizations of civil society to influence public debate about immigration to Europe via Facebook. Conclusions introduced in this diploma thesis are based on my own empirical research as well as on literature focused on public relations. Research is designed as single case study of Facebook communication of Doctors without Borders. I explore the diversity of topics and argumentation present in the organization's communication, reactions of its audience and mutual interactions between organization and its audience. I explain that content, visual and formal aspects may play a key role when an organization is trying to address wide audience, whose ideas is willing to shape and influence. Research points out that the communication of Doctors without Borders about migration to Europe is one-sided, because it's mainly driven by activities and mission of the organization. This one-sidedness is partly compensated by engaged audience that enriches discussions under the Facebook posts of the organization with diverse topics and opinions. The thesis tries to capture the significance of tension between organization and its audience that raises inspirational discussions, which might not occur in case of absolute consensus. Key words communication, public...
- Published
- 2017
29. La frontière entre opinion et discours de haine dans les tweets de personnalités politiques belges francophones
- Author
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Cock, Barbara, Pauline Dupret, Hambye, Philippe, Andrea Pizarro Pedraza, and UCL - SSH/ILC/PLIN - Pôle de recherche en linguistique
- Subjects
hatespeech ,Belgique ,discours de haine ,twitter ,discours ,discours politique - Abstract
Nous présenterons une analyse de messages à la frontière entre opinion et discours de haine, basée sur un corpus de tweets de personnalités politiques belges francophones. Les tweets ont été collectés au cours de la campagne électorale de mai 2019 et durant les mois qui ont précédé cette campagne. Nous sélectionnons quatre personnalités importantes par parti. Nous montrerons que les messages du corpus analysé contiennent très peu de stratégies incitant ouvertement à la haine mais que certains messages se situent à la frontière entre opinion et discours de haine. Ceux-ci peuvent inclure des représentations polarisantes ou stéréotypées de certaines communautés, basées sur des critères liés à l’ethnicité, la religion ou l’orientation sexuelle. Nous analyserons les stratégies linguistiques utilisées pour construire ces représentations polarisantes, comme la déixis, la généralisation, le langage métaphorique, et la construction de l’agentivité et de l’intentionnalité. En outre, nous montrerons comment la combinaison de ces stratégies peut contribuer à la création d’un discours qui représente certaines communautés comme une menace. En dernier lieu, nous comparerons les résultats de cette analyse avec les productions des mêmes personnalités politiques sur Facebook.
30. An Annotated Social Media Corpus for German
- Author
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Eckhard Bick, Calzolari, Nicoletta, Bechet, Frederic, Blache, Philippe, Choukri, Khalid, Cieri, Christopher, Declerck, Thierry, Goggi, Sara, Isahara, Hitoshi, Maegaard, Bente, Mariani, Joseph, Mazo, Helene, Moreno, Asuncion, Odijk, Jan, and Piperidis, Stelios
- Subjects
XPEROHS ,Social Media corpus ,hatespeech ,Emoji annotation ,German Corpus Linguistics ,tysk parser ,Hate Speech ,Non-standard orthography ,Twitter-korpus ,Constraint Grammar ,korpuslingvistik ,Syntactic parsing ,GerGram - Abstract
This paper presents the German Twitter section of a large (2 billion word) bilingual Social Media corpus for Hate Speech research, discussing the compilation, pseudonymization and grammatical annotation of the corpus, as well as special linguistic features and peculiarities encountered in the data. Among other things, compounding, accidental and intentional orthographic variation, gendering and the use of emoticons/emojis are addressed in a genre-specific fashion. We present the different layers of linguistic annotation (morphosyntactic, dependencies and semantic types) and explain how a general parser (GerGram) can be made to work on Social Media data, pointing out necessary adaptations and extensions. In an evaluation run on a random cross-section of tweets, the modified parser achieved F-scores of 97% for morphology (fine-grained POS) and 92% for syntax (labeled attachment score). Predictably, performance was twice as good in tweets with standard orthography than in tweets with spelling/casing irregularities or lack of sentence separation, the effect being more marked for morphology than for syntax.
31. A corpus-based study of the boundary between opinion and hatespeech in Belgian French- speaking online political discourse
- Author
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Cock, Barbara, Pauline Dupret, Hambye, Philippe, Andrea Pizarro Pedraza, and UCL - SSH/ILC/PLIN - Pôle de recherche en linguistique
- Subjects
hatespeech ,Facebook ,political discourse ,Twitter ,ethnicity ,discourse - Abstract
In this study, we will present an analysis of discourses on the boundary between opinion expression and hatespeech, based on a corpus of online discourse of Belgian French-speaking politicians. Our corpus consists of the Facebook and Twitter productions from leading politicians from all major parties, which were collected one month right before and one month during the 2019 electoral campaign for the regional, national and European elections on May 26th 2019. While discourses falling within the legal qualification of hatespeech are extremely rare in this corpus, we will analyze the productions that are on the boundary between opinion expression and hatespeech, engaging in polarizing and stereotyping representations of certain communities based on criteria related to ethnicity, religion and sexual orientation. We look into the linguistic strategies that are used to construe these polarizing representations, such as the use of deictics, generalization, metaphorical language use, and the construction of agentivity and intentionality (i.e. the representation of certain actions as intentional deeds, thus construing e.g. an immigrant group as willingly harming the local population). We both analyze the use of these individual strategies in our corpus and show how they are combined in creating a discourse that represents these communities as a threat. Finally, we will also discuss to which extent there are differences between discourse produced before and during the electoral campaign. In doing so, we show how a detailed discursive analysis based on a corpus of contemporary online data can contribute to a better understanding of the general public debate and of people's conceptualisations concerning these communities.
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