The media attention to the personal sphere of famous and important individuals has become a key element of the gender narrative. In this setting, we aim at assessing gender gaps in the mediated personalization of a wide range of political office holders in Italy during the period 2017–2020 by means of a combination of NLP and statistical methods. The proposed analysis hinges on the definition of a new score for each word in the corpus that adjusts the incidence rate for the under representation of women in politics. On this basis, evidence is found that political personalization in Italy is more detrimental for women than it is for men, with the persistence of entrenched stereotypes including a masculine connotation of leadership, the resulting women’s unsuitability to hold political functions, and a greater deal of focus on their attractiveness and body parts. In addition, women politicians are covered with a more negative tone than their men counterpart when personal details are reported. By distinguishing between different types of media, we also show that the observed gender differences are primarily found in online news rather than print news. This suggests that the expression of certain stereotypes may be favored when click baiting and personal targeting have a major impact.

中文翻译：

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结合自然语言处理和统计方法来评估政治个性化中介中的性别差距


媒体对名人和重要人物个人领域的关注已成为性别叙事的关键要素。在此背景下，我们的目标是通过自然语言处理和统计方法相结合的方式，评估 2017 年至 2020 年期间意大利各类政治官员的介导个性化中的性别差距。拟议的分析取决于语料库中每个单词的新分数的定义，该分数调整了政治中女性代表性不足的发生率。在此基础上，有证据表明，意大利的政治个性化对女性的危害比对男性的危害更大，因为根深蒂固的陈规定型观念持续存在，包括领导力的男性内涵，由此导致的女性不适合担任政治职务，以及更多的政治角色。关注他们的吸引力和身体部位。此外，在报道个人详细信息时，女性政客的语气比男性政客更为负面。通过区分不同类型的媒体，我们还表明观察到的性别差异主要存在于在线新闻而不是印刷新闻中。这表明，当点击诱饵和个人定位产生重大影响时，某些刻板印象的表达可能会受到青睐。