Knowledge discovery of zakat administration worldwide from YouTube and Zoom via text mining

Abstract

Purpose Zakat (Islamic almsgiving) plays a considerable role in dealing with the socioeconomic issues in times of COVID-19 pandemic, and such roles have been widely discussed in virtual events. This paper aims to discover knowledge of the current global zakat administration from virtual events of zakat (e.g. webinars) on YouTube and Zoom via text mining approach. Design/methodology/approach The authors purposefully sampled 12 experts from four different virtual zakat events on YouTube and Zoom. The automated text transcription software is used to pull the information from the sampled videos into text documents. A qualitative analysis is operated using text mining approach via machine learning tool (i.e. Orange Data Mining). Four research questions are developed under the Word Cloud visualisation, hierarchal clustering, topic modelling and graph and network theory. Findings The machine learning identifies the most important words, the relationship between the experts and their top words and discovers hidden themes from the sample. This finding is practically substantial for zakat stakeholders to understand the current issues of global zakat administration and to learn the applicable lessons from the current issues of zakat management worldwide. Research limitations/implications This study does not establish a positivist generalisation from the findings because of the nature and objective of the study. Practical implications A policy implication is drawn pertaining to the legislation of zakat as an Islamic financial policy instrument for combating poverty in Muslim society. Social implications This work supports the notion of “socioeconomic zakat”, implying that zakat as a religious obligation is important in shaping the social and economic processes of a Muslim community. Originality/values This work marks the novelty in making sense of the unstructured data from virtual events on YouTube and Zoom in the Islamic social finance research.

Exploring the development of Islamic fintech ecosystem in Indonesia: a text analytics

“…see: Baehaqi et al , 2020), gain evidence from the unstructured data (e.g. see: Hudaefi and Beik, 2021; Hudaefi et al , 2022b) and complement evidence of quantitative analysis (e.g. see: Hudaefi and Noordin, 2019; Pattnaik and Shukla, 2021).…”

“…Text mining is part of data mining (in big data analytics) to extract information from semi or unstructured text data for discovering knowledge and generating new facts through categorisation, clustering and visualisation of the data (Caraka et al , 2022; Cheerkoot-Jalim and Khedo, 2020; Hashimi et al , 2015; Hassan et al , 2021; Hudaefi et al , 2022b; Usai et al , 2018).…”

Public Perception of Amil Zakat Institutions in Indonesia: Insight Discovery From Machine Learning

“…Word frequency and topic modelling can be represented as a holistic visual in a word cloud to illustrate data's most frequently occurring words (Alqtati et al, 2022). ord cloud and topic modeling are useful for researchers to perform data analysis and data network interpretation (Hudaefi, Hassan, et al, 2022). Some previous studies have used word cloud visualization and topic modeling to classify and cluster data in the form of words or topics that are the main focus of a data set.…”

“…analyzed the knowledge related to the zakat administration during the COVID-19 pandemic using a text-mining approach. Something similar was done in the research of Hudaefi, Hassan, et al,(2022) which also examined perceptions of zakat administration but used a text mining approach derived from Youtube and Zoom. Some other studies, such as Assalafiyah & Rusydiana, (2023) aim to measure sentiment about zakat but use sources derived from secondary data such as reputable scientific journals.…”

Zakat Fundraising Via Instagram: How Does It Advantageous for Zakat Institutions?

“…The digital transformation of zakat institutions emerges as a crucial concern. This concept of digital transformation for zakat organizations has experienced a notable rise in interest among academia and industry professionals, particularly during the Covid-19 pandemic (Hudaefi et al, 2023). Furthermore, utilizing digital platforms to promote zakat literacy can increase the willingness of young Muslims to fulfill their zakat obligations (Widiastuti et al, 2021).…”