Understanding Responses to Worship Regulations in the Pandemic Era: Text Data Mining Analysis in the Indonesian Context

被引:1
|
作者
Adil, Muhammad [1 ]
Huda, Miftachul [2 ]
机构
[1] Univ Islam Negeri Raden Fatah, Dept Islamic Studies, Palembang 30126, South Sumatra, Indonesia
[2] Univ Pendidikan Sultan Idris, Fac Human Sci, Tanjong Malim 35900, Perak, Malaysia
关键词
supportive; contradictive; worship regulations; pandemic age; discourse analysis; detailed proper translation; better understanding; behavior change; COVID-19; TRAUMA;
D O I
10.3390/rel14040549
中图分类号
B9 [宗教];
学科分类号
010107 ;
摘要
This paper aims to examine the critical discourse on responses to worship regulations during the coronavirus (COVID-19) pandemic. Diverse responses emanated from the media, religious leaders, and civil society organizations in the Indonesian context. The wide range of responses to worship regulations is reflected in continuous debate, demonstrating two primary groups, one in support of the government regulations and the other opposed to limitations on congregational worship activities. This shows the need for the proper messaging of content and dissemination to promote behavioral changes relative to relevant health issues. In order to achieve the main objective, we employed a qualitative method involving a discourse analysis of several leading online news sources' viewpoints, religious leaders' viewpoints, and religious organizations' public statements. This study found two main factors associated with the response to worship regulations in the pandemic era. The main finding involved supportive and contradictive orientations. The supportive path indicated a supportive response, referring to the enhancement of the proper analysis of public worship regulations, while the contradictive one referred to the continuation of life as normal, free of restrictions and regulations. This study suggests that clear details on the reasons for restrictions and regulations are required on all forms of social media in order to provide all parties with a better understanding of the need for these measures.
引用
收藏
页数:19
相关论文
共 50 条
  • [41] Text Mining Factor Analysis (TFA) in Green Tea Patent Data
    Rahmawati, Sela
    Suprijadi, Jadi
    Zulhanif
    STATISTICS AND ITS APPLICATIONS, 2017, 1827
  • [42] Understanding early experiences of Chinese frontline nurses during the COVID-19 pandemic: A text mining and thematic analysis of social media information
    Luo, Yunting
    Feng, Xianqiong
    Wang, Dandan
    Zheng, Mingyue
    Reinhardt, Jan D.
    NURSING & HEALTH SCIENCES, 2023, 25 (03) : 389 - 401
  • [43] Term domain distribution analysis: A data mining tool for text databases
    Goldman, JA
    Chu, WW
    Parker, DS
    Goldman, RM
    METHODS OF INFORMATION IN MEDICINE, 1999, 38 (02) : 96 - 101
  • [44] A text-mining study on emotional cognition, understanding, and preventative behaviors during the COVID-19 pandemic
    Lim, Eunjung
    Shin, Jieun
    Park, Seyeon
    BMC PUBLIC HEALTH, 2023, 23 (01)
  • [45] Integrating text mining, data mining, and network analysis for identifying genetic breast cancer trends
    Jurca G.
    Addam O.
    Aksac A.
    Gao S.
    Özyer T.
    Demetrick D.
    Alhajj R.
    BMC Research Notes, 9 (1)
  • [46] Text and Data Mining Techniques in Judgment Open Data Analysis for Administrative Practice Control
    Metsker, Oleg
    Trofimov, Egor
    Sikorsky, Sergey
    Kovalchuk, Sergey
    ELECTRONIC GOVERNANCE AND OPEN SOCIETY: CHALLENGES IN EURASIA, EGOSE 2018, 2019, 947 : 169 - 180
  • [47] A text-mining study on emotional cognition, understanding, and preventative behaviors during the COVID-19 pandemic
    Eunjung Lim
    Jieun Shin
    Seyeon Park
    BMC Public Health, 23
  • [48] Understanding User Experience and Satisfaction with Urban Infrastructure through Text Mining of Civil Complaint Data
    Chang, Taeyeon
    Chi, Seokho
    Im, Seok-Been
    JOURNAL OF CONSTRUCTION ENGINEERING AND MANAGEMENT, 2022, 148 (08)
  • [49] Towards an Understanding of Project Finance in the Mining Sector in the Sustainability Context: A Scientometric Analysis
    Gonzalez-Ruiz, Juan David
    Mejia-Escobar, Juan Camilo
    Franco-Sepulveda, Giovanni
    SUSTAINABILITY, 2021, 13 (18)
  • [50] Trajectory Data Analysis in Support of Understanding Movement Patterns: A Data Mining Approach
    Rizk, Aya
    Elragal, Ahmed
    AMCIS 2012 PROCEEDINGS, 2012,