Examining what people tweet in relation to halal cosmetics-related topics

References

• Abbar, S., Mejova, Y., & Weber, I. (2015). You Tweet what you eat: Studying food consumption through Twitter. Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems (pp.3197–12). Seoul, Republic of Korea.
   Google Scholar
• Ali, S., Halim, F., & Ahmad, N. (2016). Beauty premium and halal cosmetics industry. Journal of Marketing Management and Consumer Behaviour, 1(4), 52–63.
   Google Scholar
• Annabi, C. A., & Ibidapo-Obe, O. O. (2017). Halal certification organizations in the United Kingdom: An exploration of halal cosmetic certification. Journal of Islamic. Marketing, 8(1), 107–126. doi:10.1108/JIMA-06-2015-0045
   Web of Science ®Google Scholar
• Aoun, I., & Tournois, L. (2015). Building holistic brands: An exploratory study of Halal cosmetics. Journal of Islamic Marketing, 6(1), 109–132. doi:10.1108/JIMA-05-2014-0035
   Web of Science ®Google Scholar
• Archrekar, H., Gandhe, A., Lazarus, R., Yu, S. H., & Lie, B. (2011). Predicting flu trends using Twitter data. Computer communications workshops. Proceedings of the 2011 IEEE Conference (pp.702–707). Shanghai, China. doi:10.1109/INFCOMW.2011.5928903
   Google Scholar
• Bhatia, M., & Jain, A. (2013). Green marketing: A study of consumer perception and preferences in India. Electronic Green Journal, 1(36), 1–20.
   Google Scholar
• Briliana, V., & Mursito, N. (2017). Exploring antecedents and consequences of Indonesian Muslim youths’ attitude towards halal cosmetic products: A case study in Jakarta. Asia Pacific Management Review, 22(4), 176–184. doi:10.1016/j.apmrv.2017.07.012
   Web of Science ®Google Scholar
• Cavazos-Rehg, P. A., Krauss, M. J., Sowles, S., Connolly, S., Rosas, C., Bharadwaj, M., & Bierut, L. J. (2016). A content analysis of depression-related Tweets. Computer Human Behaviour, 54, 351–357. doi:10.1016/j.chb.2015.08.023
   PubMed Web of Science ®Google Scholar
• Cavazos-Rehg, P. A., Sowles, S. J., Krauss, M. J., Agbonavbare, V., Grucza, R., & Bierut, L. (2016). A content analysis of tweets about high-potency marijuana. Drug Alcohol Dependence, 166, 100–108. doi:10.1016/j.drugalcdep.2016.06.034
   PubMed Web of Science ®Google Scholar
• Ceron, A., Curini, L., Iacus, S. M., & Porro, G. (2013). Every tweet counts? How sentiment analysis of social media can improve our knowledge of citizens’ political preferences with an application to Italy and France. New Media & Society, 16(2), 340–358. doi:10.1177/1461444813480466
   Web of Science ®Google Scholar
• Creswell, J. W. (2013). Qualitative inquiry and research design: Choosing among five approaches (Third Edit). Los Angeles: Sage Publications.
   Google Scholar
• Gupta, N. K. (2010). Extracting phrases describing problems with products and services from Twitter Message. Retrieved from http://www.scielo.org.mx/pdf/cys/v17n2/v17n2a10.pdf
   Google Scholar
• Husain, R., Ghani, I. A., Mohammad, A., & Mehad, S. (2012). Current Practices among Halal Cosmetics Manufacturers in Malaysia. Journal of Statistical Modelling and Analytic, 3(1), 46–51.
   Google Scholar
• Jusoh, A., Kamarulzaman, L., & Zakaria, Z. (2016). The Implementation of halal cosmetic standard in Malaysia: A brief overview. In S. K. Manan, F. A. Rahman, & Sahri ( 1st Eds.), Contemporary issues and development in the global halal industry (pp.37-46).  Singapore: Springer.
   Google Scholar
• Krauss, M. J., Sowles, S. J., Moreno, M., Zewdie, K., Grucza, R. A., Bierut, L. J., & Cavazos-Rehg, P. A. (2015). Hookah related Twitter chatter: A content analysis. Preventing Chronic Diseases, 12, E121. doi:10.5888/pcd12.150140
   PubMed Web of Science ®Google Scholar
• Lutfie, H., Puspa, E. P. S., Sharif, O. O., & Turipanam, D. A., (2015, November). Which is more important? Halal label or product quality. 3rd International Seminar and Conference on Learning Organization. Yogyakarta, Indonesia: ISCLO.
   Google Scholar
• McAlister, A. M., Lee, D. M., Ehlert, K. M., Kajfez, R. L., Faber, C. J., & Kennedy, M. S. (2017). Qualitative Coding: An Approach to Assess Inter-Rater Reliability. doi:10.18260/1-2—28777
   Google Scholar
• Mohamed, R. N., & Li, Y. B. (2017). Interdependence between social value, emotional value, customer experience and customer satisfaction indicators: The case of halal cosmetics industry in Malaysia. Pertanika Journal of Social Sciences and Humanities, 25, 131–142. Retrieved from www.scopus.com
   Web of Science ®Google Scholar
• Mohezar, S., Zailani, S., & Zainuddin, Z. (2016). Halal cosmetics adoption among young Muslim consumers in Malaysia: Religiosity concern. Global Journal Al-Thaqafah, 6(1), 47–59. doi:10.7187/GJAT10220160601
   Web of Science ®Google Scholar
• Mostafa, M. M. (2018). Mining and mapping halal food consumers: A geo-located Twitter opinion polarity analysis. Journal of Food Products Marketing, 24(7), 858–879. doi:10.1080/10454446.2017.1418695
   Web of Science ®Google Scholar
• Mostafa, M. M. (2019). Clustering halal food consumers: A Twitter sentiment analysis. International Journal of Market Research, 61(3), 320–337. doi:10.1177/1470785318771451
   Web of Science ®Google Scholar
• Nguyen, T. T., Meng, H.-W., Sandeep, S., McCullough, M., Yu, W., Lau, Y., & Nguyen, Q. C. (2018). Twitter-derived measures of sentiment towards minorities (2015–2016) and associations with low birth weight and preterm birth in the United States. Computers in Human Behavior, 89, 308–315. doi:10.1016/j.chb.2018.08.010
   PubMed Web of Science ®Google Scholar
• Oliveira, N., Cortez, P., & Areal, N. (2017). The impact of microblogging data for stock market prediction: Using Twitter to predict returns, volatility, trading volume and survey sentiment indices. Expert System Application, 73, 125–144. doi:10.1016/j.eswa.2016.12.036
   Web of Science ®Google Scholar
• Philander, K., & Zhong, Y. Y. (2016). Twitter sentiment analysis: Capturing sentiment from integrated resort tweets. International Journal Hospitality Management, 55, 16–24. doi:10.1016/j.ijhm.2016.02.001
   Web of Science ®Google Scholar
• Shayaa, S., Jaafar, N. I., Bahri, S., Sulaiman, A., Wai, P. S., Chung, Y. W., … Al-Garadi, M. A. (2018). Sentiment analysis of big data: Methods, applications, and open challenges. IEEE Access, 6, 37807–37827. doi:10.1109/ACCESS.2018.2851311
   Web of Science ®Google Scholar
• Sriram, B., Fuhry, D., Demir, E., Ferhatosmanoglu, H., & Demirbas, M. (2010). Short text classification in Twitter to improve information filtering. In Proceedings of the 33rd international ACM SIGIR conference on Research and development in information retrieval (pp. 841–842). Geneva Switzerland: ACM.
   Google Scholar
• Statista. (2018). Twitter Revenue and Usage Statistics. Retrieved from http://www.businessofapps.com/data/Twitter-statistics/
   Google Scholar
• Swidi, A., Wie, C., Hassan, M. G., Al-Hosam, A., & Mohd Kassim, A. W. (2010). The mainstream cosmetics industry in Malaysia and the emergence, growth and prospects of Halal cosmetics. Presentation at the Third International Conference on International Studies (ICIS 2010). Sintok, Kedah Darul Aman, Malaysia: Universiti Utara Malaysia.
   Google Scholar
• Technavio. (2018). Global Halal Cosmetics and Personal Care Market 2018–2022. Retrieved from https://www.reportbuyer.com/product/5589845/global-halal-cosmetics-and-personal-care-market-2018-2022.html/
   Google Scholar
• Tumasjan, A., Sprenger, T. O., Sandner, P. G., & Welpe, I. M. (2010). Predicting elections with Twitter: What 140 characters reveal about political sentiment. Proceedings of the Fourth International AAAI Conference on Weblogs and Social Media (pp. 178–185). Munich, Germany: Technische Universität München. doi:10.1016/j.jmbbm.2009.08.003
   Google Scholar
• Yacob, S., Zainol, R., & Hussin, H. (2018). Local branding strategies in Southeast Asian Islamic cultures. Journal of Southeast Asian Studies, 23(1), 102–131. doi:10.22452/jati
   Web of Science ®Google Scholar
• Yu, Y., & Wang, X. (2015). World cup 2014 in the Twitter world: A big data analysis of sentiments in US sports fans’ tweets. Computer Human Behaviour, 48, 392–400. doi:10.1016/j.chb.2015.01.07
   Web of Science ®Google Scholar
• Zubiaga, A., Spina, D., Martınez, R., & Fresno, V. (2015). Real-time classification of Twitter Trends. Journal of the Association for Information Science and Technology, 66(3), 462–473. doi:10.1002/asi.2015.66.issue-3
   Web of Science ®Google Scholar