论文标题

以男性和女人为导向的杂志中的性别偏见:一种计算方法

Gender bias in magazines oriented to men and women: a computational approach

论文作者

Kozlowski, Diego, Lozano, Gabriela, Felcher, Carla M., Gonzalez, Fernando, Altszyler, Edgar

论文摘要

文化产品是获得个人价值观和行为的来源。因此,专门针对女性或男性的杂志内容的差异是创建和复制性别刻板印象的一种手段。在这项研究中,我们将以女性为导向的杂志的内容与一个以男性为导向的杂志的内容进行了比较,这两种杂志都是由同一社论组制作的十年(2008-2018)。利用主题建模技术,我们确定了杂志中讨论的主要主题,并量化了这些主题随着时间的流逝之间的存在程度。然后,我们进行了单词频率分析来验证这种方法,并将分析扩展到没有自动出现的其他受试者。我们的结果表明,家庭,商业和妇女作为性对象的外观频率呈现出一种最初的偏见,随着时间的流逝往往会消失。相反,在时尚和科学主题上,两本杂志之间的最初差异得到了维持。此外,我们表明,在2012年,与星座杂志相关的内容有所增加,这产生了一个随着时间的流逝而保持开放的新差距。此外,自2015年以来,与女权主义相关的单词的使用尤其是2018年的堕胎一词。总的来说,这些计算工具使我们能够分析24,000多种文章。据我们所知,这是第一个比较如此大的数据集中杂志的研究,该任务使用手动内容分析方法会过时。

Cultural products are a source to acquire individual values and behaviours. Therefore, the differences in the content of the magazines aimed specifically at women or men are a means to create and reproduce gender stereotypes. In this study, we compare the content of a women-oriented magazine with that of a men-oriented one, both produced by the same editorial group, over a decade (2008-2018). With Topic Modelling techniques we identify the main themes discussed in the magazines and quantify how much the presence of these topics differs between magazines over time. Then, we performed a word-frequency analysis to validate this methodology and extend the analysis to other subjects that did not emerge automatically. Our results show that the frequency of appearance of the topics Family, Business and Women as sex objects, present an initial bias that tends to disappear over time. Conversely, in Fashion and Science topics, the initial differences between both magazines are maintained. Besides, we show that in 2012, the content associated with horoscope increased in the women-oriented magazine, generating a new gap that remained open over time. Also, we show a strong increase in the use of words associated with feminism since 2015 and specifically the word abortion in 2018. Overall, these computational tools allowed us to analyse more than 24,000 articles. Up to our knowledge, this is the first study to compare magazines in such a large dataset, a task that would have been prohibitive using manual content analysis methodologies.

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