Supporting Data for "Dehumanization and Ostracism: Responses to Sexualized Images of Women"

This dataset is for my M.Phil thesis, which is about the impact of sexualization on dehumanizing perception and interaction intentions during social interaction. Ethical approval has been issued by HREC. In Study 1, six sexualized female images and six non-sexualized female images were used to examine whether participants would dehumanize and ostracize the sexualized females more than the other targets. Study 1 provided primary evidence that sexualized women tended to suffer more dehumanization, while such dehumanization would then result in more ostracism towards them. Since sexualization can be categorized into two types (sex-based vs. appearance-based), Study 2 enriched the findings of Study 1 by further exploring how the two types of sexualization influence others’ dehumanizing tendency. Participants viewed three kinds of Instagram profiles (sex-based sexualized, appearance-based sexualized and non-sexualized) and reported their estimations of human nature and human uniqueness traits to the targets. Their interaction intentions were also tested. The results revealed that people perceived the sexualized targets (both sex-based and appearance-based) as less human, and showed less interaction intentions towards them. And sex-based sexualization showed a stronger effect on all the three variables. Since sexualization is a continuum, it is unclear whether the degree of sexualization influences dehumanization and ostracism. Sex-based sexualization consists of both revealing clothing and suggestive posture. Study 3 set up three conditions to manipulate the extent to which the targets were sexualized: non-revealing (low sexualization), revealing (mild sexualization) and sexually revealing (high sexualization). The results showed that participants dehumanized the (sexually) revealing targets more than the non-revealing targets. But the revealing and sexually revealing condition didn’t elicit significant difference. The data was collected via Qualitrcis in TurkPrime. Participants were from the USA. There are no personal identifiers or confidential information in this dataset. Original datasets (R#) contain the raw data and mostly responses of scales. The organized dataset (S#) can be used for analysis directly. <br> <br>

本数据集服务于本人的哲学硕士（M.Phil）学位论文，研究主题为社交互动中性化（sexualization）对去人性化知觉（dehumanizing perception）及互动意愿（interaction intentions）的影响。本研究已获得人类研究伦理审查委员会（Human Research Ethics Committee，HREC）的伦理审批。

在研究1中，我们选取6张性化女性图像与6张非性化女性图像，旨在考察被试是否会相较于其他目标，对性化女性实施更多去人性化评价与排斥行为。研究1提供了初步实证依据：性化女性往往会遭受更严重的去人性化对待，而此类去人性化行为会进一步加剧对其的排斥。

由于性化可划分为两类（基于性别的性化与基于外貌的性化），研究2通过进一步探究这两类性化对他人去人性化倾向的影响，丰富了研究1的研究结论。被试浏览三类Instagram主页：基于性别的性化主页、基于外貌的性化主页与非性化主页，并报告其对目标对象的人性及人类独特性特质的评价，同时完成互动意愿测试。结果表明，被试会将两类性化目标（无论基于性别还是外貌）感知为更缺乏人性的个体，且对其表现出更低的互动意愿；其中基于性别的性化对三个因变量均产生了更强的影响效应。

由于性化是一个连续谱系，目前尚不明确性化程度是否会影响去人性化知觉与排斥行为。基于性别的性化包含暴露式着装与暗示性姿态两个维度。研究3设置了三种条件以操纵目标对象的性化程度：非暴露（低度性化）、暴露（中度性化）与极具性暗示（高度性化）。结果显示，被试对（具有性暗示的）暴露型目标的去人性化程度显著高于非暴露型目标，但暴露型与极具性暗示型条件之间未产生显著差异。

本数据集的数据通过TurkPrime平台上的Qualtrics（原文拼写为Qualitrcis）采集完成，被试均来自美国。本数据集未包含任何个人标识符或保密信息。

原始数据集（R#）包含原始数据与大部分量表作答结果。

整理后的数据集（S#）可直接用于分析。