Journalists’ Ethical Responsibility: Tackling Hate Speech Against Women Politicians in Social Media Through Natural Language Processing Techniques

IF 3 2区 社会学 Q2 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
Maria Iranzo-Cabrera, Maria Jose Castro-Bleda, Iris Simón-Astudillo, Lluís-F. Hurtado
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Abstract

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.
记者的道德责任:通过自然语言处理技术应对社交媒体中针对女政治家的仇恨言论
社交媒体重新定义了记者的角色。特别是在 Twitter 上,这些专业人士占据了有影响力的位置,他们的言论以个人观点为主。考虑到这一平台已被证明是滋生两极分化、数字骚扰和仇恨言论的温床,尤其是针对女性政治家的言论,本研究旨在分析记者在这一复杂局面中的参与情况。调查旨在确定,在网络和性别诽谤运动中,记者是提高了公共辩论的质量,还是相反地加强了这些敌对内容的可见度。为此,我们使用自然语言处理工具和定性内容分析,对 2022 年 11 月 23 日至 25 日发布的 63926 条推文进行了抽样调查,这些推文与针对西班牙平等部部长的政治暴力运动有关。结果显示,在这三天中,至少有一半的推文包含仇恨言论和不当语言。在这种充满敌意的氛围中,参与辩论的记者不仅有能力吸引点赞和转发,还表现出两极分化并使用仇恨言论。支持和反对部长的意识形态立场也体现在各自的不文明策略中。在言论自由的保护伞下,无论论证话语如何,那些倾向于意识形态进步主义的记者倾向于侮辱他们的对手,而那些政治右派则使用分裂性建构、刻板印象和讽刺作为攻击技巧。
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来源期刊
Social Science Computer Review
Social Science Computer Review 社会科学-计算机:跨学科应用
CiteScore
9.00
自引率
4.90%
发文量
95
审稿时长
>12 weeks
期刊介绍: Unique Scope Social Science Computer Review is an interdisciplinary journal covering social science instructional and research applications of computing, as well as societal impacts of informational technology. Topics included: artificial intelligence, business, computational social science theory, computer-assisted survey research, computer-based qualitative analysis, computer simulation, economic modeling, electronic modeling, electronic publishing, geographic information systems, instrumentation and research tools, public administration, social impacts of computing and telecommunications, software evaluation, world-wide web resources for social scientists. Interdisciplinary Nature Because the Uses and impacts of computing are interdisciplinary, so is Social Science Computer Review. The journal is of direct relevance to scholars and scientists in a wide variety of disciplines. In its pages you''ll find work in the following areas: sociology, anthropology, political science, economics, psychology, computer literacy, computer applications, and methodology.
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