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Torrential Twitter? Measuring the Severity of Harassment When Canadian Female Politicians Tweet About Climate Change
Social Media + Society ( IF 5.5 ) Pub Date : 2024-12-10 , DOI: 10.1177/20563051241304493 Inessa De Angelis
Social Media + Society ( IF 5.5 ) Pub Date : 2024-12-10 , DOI: 10.1177/20563051241304493 Inessa De Angelis
The online harassment of female politicians who focus on climate change and environmental policy has become a major problem in Canada and other democratic nations. Despite growing awareness of the problem, there is little agreement among scholars on how to measure these nuanced forms of harassment. This study develops an original seven-point scale to measure the severity of harassment three Canadian female politicians receive when Tweeting about climate change and a six-point schema to categorize the types of accounts behind the replies. My results reveal that 86% of replies contained some form of harassment, most often name-calling or questioning the authority of the female politicians, and come from users with spam or anonymous accounts. Further results from my Bayesian hierarchical model suggest that despite differences in status and political affiliation across the three politicians, they are almost equally impacted by harassment when Tweeting about climate change. These findings contribute to understanding the intersection between climate change denialism and the gendered nature of online harassment. This article contains language and themes that some readers may find offensive.
中文翻译:
洪流 Twitter?衡量加拿大女性政治家在推特上谈论气候变化时骚扰的严重程度
关注气候变化和环境政策的女性政治家在网上受到骚扰已成为加拿大和其他民主国家的一个主要问题。尽管人们对这个问题的认识不断提高,但学者们对于如何衡量这些微妙的骚扰形式几乎没有达成共识。本研究开发了一个原始的七点量表来衡量三名加拿大女性政治家在推特上发布有关气候变化的推文时受到的骚扰的严重程度,并开发了一个六点模式来对回复背后的账户类型进行分类。我的结果显示,86% 的回复包含某种形式的骚扰,最常见的是辱骂或质疑女性政治家的权威,并且来自拥有垃圾邮件或匿名帐户的用户。我的贝叶斯分层模型的进一步结果表明,尽管三位政治家的地位和政治派别存在差异,但他们在推特上发布有关气候变化的推文时受到骚扰的影响几乎相同。这些发现有助于理解气候变化否认主义与在线骚扰的性别性质之间的交叉点。本文包含的语言和主题可能会让一些读者感到冒犯。
更新日期:2024-12-10
中文翻译:
洪流 Twitter?衡量加拿大女性政治家在推特上谈论气候变化时骚扰的严重程度
关注气候变化和环境政策的女性政治家在网上受到骚扰已成为加拿大和其他民主国家的一个主要问题。尽管人们对这个问题的认识不断提高,但学者们对于如何衡量这些微妙的骚扰形式几乎没有达成共识。本研究开发了一个原始的七点量表来衡量三名加拿大女性政治家在推特上发布有关气候变化的推文时受到的骚扰的严重程度,并开发了一个六点模式来对回复背后的账户类型进行分类。我的结果显示,86% 的回复包含某种形式的骚扰,最常见的是辱骂或质疑女性政治家的权威,并且来自拥有垃圾邮件或匿名帐户的用户。我的贝叶斯分层模型的进一步结果表明,尽管三位政治家的地位和政治派别存在差异,但他们在推特上发布有关气候变化的推文时受到骚扰的影响几乎相同。这些发现有助于理解气候变化否认主义与在线骚扰的性别性质之间的交叉点。本文包含的语言和主题可能会让一些读者感到冒犯。