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dc.contributor.author | Iranzo-Cabrera, M. | es_ES |
dc.contributor.author | Castro-Bleda, Maria Jose | es_ES |
dc.contributor.author | Simon-Astudillo, I. | es_ES |
dc.contributor.author | Hurtado Oliver, Lluis Felip | es_ES |
dc.date.accessioned | 2024-10-16T11:09:22Z | |
dc.date.available | 2024-10-16T11:09:22Z | |
dc.date.issued | 2024-08 | es_ES |
dc.identifier.issn | 0894-4393 | es_ES |
dc.identifier.uri | http://hdl.handle.net/10251/210287 | |
dc.description.abstract | [EN] Social media has led to a redefinition of the journalist's role. Specifically on Twitter, these professionals assume an influential position and their discourse is dominated by personal opinions. Taking into consideration that this platform has proven to be a breeding ground for polarization, digital harassment and hate speech, notably against women politicians, this research aims to analyze journalists' involvement in this complex scenario. The investigation aims to determine whether, immersed in online and gender defamation campaigns, journalists enhance the quality of public debate or, on the contrary, they reinforce the visibility of this hostile content. To this end, we examined a sample of 63,926 tweets published from 23 to 25 November 2022 related to a campaign of political violence against the Spanish Minister of Equality using Natural Language Processing tools and qualitative content analysis. Results show that during those three days, at least half of the tweets contained hate speech and improper language. In this climate of hostility, journalists participating in the debate not only have an ability to attract likes and retweets but also exhibit polarization and use hate speech. Each ideological position-for and against the Minister-is also reflected in their own uncivil strategies. Under the umbrella of free speech and regardless of argumentative discourses, those journalists who lean towards ideological progressivism tend to insult their opponents, and those on the political right use divisive constructions, stereotyping and irony as attack techniques. | es_ES |
dc.description.sponsorship | This work was supported by two Ministerio de Ciencia, Innovacion y Universidades (Spain) and ERDF A way of making Europe (PID2021-126061OB-C41) and Ministerio de Ciencia e Innovacion (PID2020-113574RB-I00). | es_ES |
dc.language | Inglés | es_ES |
dc.publisher | SAGE Publications | es_ES |
dc.relation.ispartof | Social Science Computer Review | es_ES |
dc.rights | Reserva de todos los derechos | es_ES |
dc.subject | Hate speech | es_ES |
dc.subject | Improper language | es_ES |
dc.subject | Polarization | es_ES |
dc.subject | Gender | es_ES |
dc.subject | es_ES | |
dc.subject | Social media | es_ES |
dc.subject | Journalism | es_ES |
dc.subject | Political communication | es_ES |
dc.subject | Natural language processing | es_ES |
dc.subject.classification | LENGUAJES Y SISTEMAS INFORMATICOS | es_ES |
dc.title | Journalists' Ethical Responsibility: Tackling Hate Speech Against Women Politicians in Social Media Through Natural Language Processing Techniques | es_ES |
dc.type | Artículo | es_ES |
dc.identifier.doi | 10.1177/08944393241269417 | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PID2020-113574RB-I00/ES/FLUJOS DE DESINFORMACION, POLARIZACION Y CRISIS DE LA INTERMEDIACION MEDIATICA / | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2021-2023/PID2021-126061OB-C41/ES/BEWORD-UPV: DESCUBRIENDO EL SIGNIFICADO Y LA INTENCION MAS ALLA DE LA PALABRA HABLADA: HACIA UN ENTORNO INTELIGENTE PARA ABORDAR LOS DOCUMENTOS MULTIMEDIA/ | es_ES |
dc.rights.accessRights | Abierto | es_ES |
dc.contributor.affiliation | Universitat Politècnica de València. Escola Tècnica Superior d'Enginyeria Informàtica | es_ES |
dc.description.bibliographicCitation | Iranzo-Cabrera, M.; Castro-Bleda, MJ.; Simon-Astudillo, I.; Hurtado Oliver, LF. (2024). Journalists' Ethical Responsibility: Tackling Hate Speech Against Women Politicians in Social Media Through Natural Language Processing Techniques. Social Science Computer Review. https://doi.org/10.1177/08944393241269417 | es_ES |
dc.description.accrualMethod | S | es_ES |
dc.relation.publisherversion | https:/doi.org/10.1177/08944393241269417 | es_ES |
dc.type.version | info:eu-repo/semantics/publishedVersion | es_ES |
dc.relation.pasarela | S\526424 | es_ES |
dc.contributor.funder | Agencia Estatal de Investigación | es_ES |
dc.contributor.funder | European Regional Development Fund | es_ES |