Islamic Crowdfunding: A Twitter Sentiment Analysis

Bashir Ammar Hakim

doi:10.58968/iem.v2i2.354

Authors

Bashir Ammar Hakim Independent Researcher

DOI:

https://doi.org/10.58968/iem.v2i2.354

Keywords:

Islamic crowdfunding, Sentiment, Twitter, VADER

Abstract

This research aims to measure public sentiment related to Islamic crowdfunding on the Twitter social media platform. The research method involves the extraction and classification of tweet data using a Python Library called VADER (Valence Aware Dictionary and Sentiment Reasoner). The research utilized tweet data posted in the past one year. The results showed fluctuations and decreases in the number of tweets discussing Islamic crowdfunding. Word cloud analysis on keywords shows that in positive sentiments, words such as "crowdfunding platform," "crowdfunding impact," "crowdfunding," "Islamic finance," and "inclusivity Islamic finance" dominate the visualization. Overall, the majority of tweets expressed a positive attitude towards Islamic crowdfunding, with 44.0% positive sentiment. A total of 47.2% of tweets showed neutral sentiment, while 8.7% showed negative sentiment. These results illustrate that people generally give positive support to the concept of Islamic crowdfunding, although there is still a small proportion of tweets that express less favorable views. This research provides valuable insights into people's perceptions and responses to Islamic crowdfunding in cyberspace.

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References

Achsien, I. H., & Purnamasari, D. L. (2016). Islamic Crowd-funding as the Next Financial Innovation in Islamic Finance: Potential and Anticipated Regulation in Indonesia. European Journal of Islamic Finance, 5(June), 1-11.

Alamoodi, Zaidan, Zaidan, Albahri, Mohammed, Malik, Almahdi, Chyad, Tareq, Albahri, Hameed, H., & Alaad, M. (2021). Sentiment analysis and its applications in fighting COVID-19 and infectious diseases: A systematic review. Expert Systems With Applications, January. https://doi.org/https://doi.org/10.1016/j.eswa.2020.114155

Andaleeb, U., & Mishra, D. A. K. (2016). Equity Crowdfunding in Shariah Compliant Nations: an outlook in the middle-east. Global Journal of Finance and Management, 8(1), 97-102. http://www.ripublication.com

Cambria, E., Schuller, B., Xia, Y., & Havasi, C. (2013). New avenues in opinion mining and sentiment analysis. IEEE Intelligent Systems, 28(2), 15–21.

Fundable. (2024). What is Crowdfunding? https://www.fundable.com/learn/resources/guides/crowdfunding/what-is-crowdfunding

Hakim, B. A. H., Mujahidah, A. S., & Rusydiana, A. S. (2022). Sentiment Analysis on Halal Certification. Harmoni, 21(1), 78–93. https://doi.org/10.32488/harmoni.v21i1.609

Hassan, M. K., Hudaefi, F. A., & Caraka, R. E. (2022). Mining netizen’s opinion on cryptocurrency: sentiment analysis of Twitter data. Studies in Economics and Finance, 39(3), 365–385. https://doi.org/10.1108/SEF-06-2021-0237

Ishak, M. S. I., & Rahman, M. H. (2021). Equity-based Islamic crowdfunding in Malaysia: a potential application for . Qualitative Research in Financial Markets, 13(2), 183-198. https://doi.org/10.1108/QRFM-03-2020-0024

Lawton, K., & Marom, D. (2013). The Crowdfunding Revolution: How to Raise Venture Capital Using Social Media. McGraw Hill.

Liu, B. (2012). Sentiment Analysis and Mining of Opinions. Morgan & Claypool Publishers, 30(May), 503–523. https://doi.org/10.1007/978-3-319-60435-0_20

Maliha, H. (2023). Productive Zakat: An Intertemporal Sentiment Analysis. Islamic Economics and History, 2(1).

Marzban, S., Asutay, M., & Boseli, A. (2014). Shariah-compliant Crowd Funding: An Efficient Framework for Entrepreneurship Development in Islamic Countries View project Leverage versus volatility View project. Harvard Islamic Finance Forum, August. https://doi.org/10.13140/RG.2.1.2696.1760

Maulida, S., & Hakim, B. A. (2022). Twitter Sentiment Analysis on Green Finance. 1(1). http://ipublishing.intimal.edu.my/jods.html

Maulida, S., & Rusydiana, A. S. (2022). Twitter Sentiment Analysis on Credit Card. Maqasid al-Shariah Review, 1(1).

Ravi, K., & Ravi, V. (2015). A survey on opinion mining and sentiment analysis: Tasks, approaches and applications. In Knowledge-Based Systems (Vol. 89, Issue June 2015). https://doi.org/10.1016/j.knosys.2015.06.015

Rees-Mogg, M. (2013). Crowd Funding: How to Raise Money and Make Money in the Crowd.

Roe, C., Lowe, M., Williams, B., & Miller, C. (2021). Public perception of SARS-CoV-2 vaccinations on social media: Questionnaire and sentiment analysis. International Journal of Environmental Research and Public Health, 18(24). https://doi.org/10.3390/ijerph182413028

Roro, F. S. R., Hernoko, A. Y., & Anand, G. (2019). the Characteristics of Proportionality Principle in Islamic Crowdfunding in Indonesia. Journal of Law & Development, 49(2), 455. https://doi.org/10.21143/jhp.vol49.no2.2013

Rusydiana, A. S., & Marlina, L. (2020). Analisis sentimen terkait sertifikasi halal. Journal of Economics and Business Aseanomics, 5(1), 69-85.

Saiti, B., Musito, M. H., & Yucel, E. (2018). Islamic Crowdfunding: Fundamentals, Developments and Challenges. Islamic Quarterly, 62(3), 469-485.

Statista. (2023). Crowdfunding - Worldwide. https://www.statista.com/outlook/fmo/capital-raising/digital-capital-raising/crowdfunding/worldwide#

Vargo, C. J., Guo, L., Mccombs, M., & Shaw, D. L. (2014). Network Issue Agendas on Twitter During the 2012 U.S. Presidential Election. Journal of Communication, 64(2), 296–316. https://doi.org/10.1111/jcom.12089

Vinodhini, G., & Chandrasekaran, R. (2012). Sentiment Analysis and Opinion Mining : A Survey International Journal of Advanced Research in Sentiment Analysis and Opinion Mining : A Survey. International Journal of Advanced Research in Computer Science and Software Engineering, 2(6), 283–292.

Wahjono, S. I., Marina, A., & Widayat. (2015). ISLAMIC CROWDFUNDING: AN ALTERNATIVE FUNDING SOLUTION. 1st World Islamic Social Science Congress (WISSC) 2015.