A computational approach in analyzing the empathy to online donations during COVID-19

Akmal Setiawan Wijaya, Dhomas Hatta Fudholi, A. R. Pratama
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Abstract

The COVID-19 pandemic has a negative impact on many aspects of life. The global economic downturn is one of these negative consequences. Nonetheless, even though everyone feels the threat of this pandemic for themselves, some people still have the empathy to help others. An empirical analysis of this empathy attitude is expected to be a catalyst in realizing a social force for the community to work together to combat this pandemic. This study will look at how people felt about donating during the COVID-19 pandemic on Twitter. The goals of this study are to (1) compare differences in donor desire before and during the COVID-19 pandemic using the developed model, and (2) determine whether there is a significant difference in empathy for donating before and during the pandemic. This study employs computational social science (CSS) techniques to achieve this goal. The data was obtained from Twitter using the keyword "donation" in the 24 months preceding the pandemic and in the 24 months following the pandemic's arrival in Indonesia. Data analysis includes hypothesis testing using Mann-Whitney and Cohen's D statistical tests, showing a significant increase in online donation support among Indonesian Twitter users since the COVID-19 pandemic hit. From the results of data processing data obtained 159.995 data in accordance with the criteria to be analyzed. From the results of the Mann-Whitney test, all variables showed significant results between before and during the Covid-19 pandemic and in the results of the Cohen's d test, all variables got a large effect size. From the results of the two tests, it can open Twitter social media users who have increased empathy to donate during the Covid-19 pandemic in Indonesia
新型冠状病毒肺炎疫情期间网络捐赠共情分析的计算方法
2019冠状病毒病大流行对生活的许多方面产生了负面影响。全球经济衰退就是这些负面后果之一。然而,尽管每个人都为自己感到了这场大流行的威胁,但有些人仍然有同情心去帮助别人。对这种共情态度的实证分析有望成为实现社会力量的催化剂,使社区共同努力应对这一流行病。这项研究将研究人们在2019冠状病毒病大流行期间在推特上捐赠的感受。本研究的目的是:(1)使用开发的模型比较COVID-19大流行之前和期间的捐赠意愿差异;(2)确定大流行之前和期间的捐赠移情是否存在显著差异。本研究采用计算社会科学(CSS)技术来实现这一目标。这些数据是在大流行之前的24个月和大流行抵达印度尼西亚后的24个月内,使用关键字“捐赠”从Twitter上获得的。数据分析包括使用Mann-Whitney和Cohen的D统计检验进行假设检验,显示自2019冠状病毒病大流行以来,印度尼西亚Twitter用户的在线捐赠支持显着增加。从数据处理的结果数据中得到159.995个符合标准的数据进行分析。从Mann-Whitney检验的结果来看,所有变量在Covid-19大流行之前和期间都显示出显著的结果,在Cohen's d检验的结果中,所有变量都获得了很大的效应量。从这两项测试的结果来看,它可以让在印度尼西亚Covid-19大流行期间增加同情心的推特社交媒体用户捐款
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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