心理距离对人类对恐怖袭击反应的短期和长期影响

Q1 Social Sciences Online Social Networks and Media Pub Date : 2023-01-01 DOI:10.1016/j.osnem.2023.100243
Ema Kušen , Mark Strembeck
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引用次数: 0

摘要

在本文中,我们运用解释水平理论来研究时间、社会和地理距离如何影响面对2020年维也纳恐怖袭击的社交媒体用户的反应。我们报告的是一项为期一年的长期分析。这项分析是基于超过50万条Twitter消息的数据集。我们的研究结果表明,与事件的接近程度在人们如何应对恐怖袭击中起着重要作用。例如,我们发现,与直接受到攻击影响的人有更密切社会关系的用户,以及在地理上更接近攻击地点的用户,比与事件有更大社会或地理距离的用户对Twitter话语的贡献更大。然而,我们也发现,在世界各地的不同国家,离袭击最远的用户中,死亡焦虑最为强烈。因此,距离恐怖袭击地点较远的地理距离似乎会增加死亡焦虑的程度,而且恐怖袭击引起的心理影响并不局限于与袭击地点在社会上或地理上接近的人。除此之外,我们还发现宗教参考在积极和消极的回答中都有使用。我们使用语言调查和单词计数(LIWC)工具来识别我们数据集中的心理语言特征。
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Short- and long-term impact of psychological distance on human responses to a terror attack

In this paper, we apply the construal level theory to examine how temporal, social, and geographical distance affect the responses of social media users who have been confronted with the 2020 Vienna terror attack. We report on a long-term analysis that covers a time period of one year. The analysis is based on a data-set of more than 500,000 Twitter messages.

Our findings indicate that proximity to the event plays a significant role in how people cope with a terror attack. For example, we found that users with closer social bonds to people who have been directly affected by the attack, as well as users who have been geographically closer to the location of the attack, contributed more to the Twitter discourse than users with a larger social or geographical distance to the event. However, we also found that death anxiety was most intense in users located the furthest away from the attack, in different countries all around the world. Thus, a larger geographical distance to a terror attack seems to increase the level of death anxiety and the psychological effects induced by terror attacks are not restricted to people who are socially or geographically close to an attack. Among other things, we also found that religious references have been used in positive as well as negative responses. We used the Linguistic Inquiry and Word Count (LIWC) tool to identify psycholinguistic features in our data-set.

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来源期刊
Online Social Networks and Media
Online Social Networks and Media Social Sciences-Communication
CiteScore
10.60
自引率
0.00%
发文量
32
审稿时长
44 days
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