Temporal and Sentiment Analysis of Alcohol-Related Tweets in Thailand During 2023: Patterns and Trends in Online Discourse
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Abstract
There is a paucity of research concerning the content and temporalities of alcohol-related social media texts posted in the Thai language. A total of 12,065,726 tweets were collected between January 1, 2023, and May 23, 2023, based on thirteen alcohol-related keywords. Three native Thai speakers manually coded 15,000 random tweets to explore the type, sentiment, and content of collected tweets. “Personal communications” represented 49.1% of the sample, 15.3% were coded as “Pornography-related,” and 35.6% as “Irrelevant.” Among the personal communication tweets, 81.1% were coded as Neutral, 4.9% as Positive, and 14.0% as Negative. Despite a higher volume of negative tweets, only one prevention-oriented tweet was found during the qualitative content analysis. The coded tweets were further used to train supervised machine learning algorithms to identify posts labelled as positive, neutral, and negative within the whole dataset. Temporal heatmaps of positive, neutral, and negative personal communication tweets were then generated. Negative tweets were more likely to be posted on Sunday evening (from 17:00 to midnight) and Monday early afternoon (13:00 to 15:00), while positive tweets were frequently posted on the evenings (after 20:00), especially Monday. Our results can be used to disseminate alcohol-related health prevention messages at the time and day(s) of the week when such messages would be most read on X.
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References
• Alhabash, S., VanDam, C., Tan, P.-N., Smith, S. W., Viken, G., Kanver, D., Tian, L., & Figueira, L. (2018). 140 Characters of intoxication: Exploring the prevalence of alcohol-related tweets and predicting their virality. SAGE Open, 8(4). https://doi.org/10.1177/2158244018803137
• Althubaiti, A. (2016). Information bias in health research: Definition, pitfalls, and adjustment methods. Journal of Multidisciplinary Healthcare, 2016(9), 211—217. https://doi.org/10.2147/JMDH.S104807
• Aslam, S. (2024). Twitter by the numbers: Stats, demographics & fun facts. Omnicore. https://www.omnicoreagency.com/twitter-statistics/
• Assanangkornchai, S., Li, J., McNeil, E., & Saingam, D. (2018). Clusters of alcohol and drug use and other health-risk behaviors among Thai secondary school students: A latent class analysis. BMC Public Health, 18(1), Article 1272. https://doi.org/10.1186/s12889-018-6205-z
• Assanangkornchai, S., Sam-Angsri, N., Rerngpongpan, S., & Lertnakorn, A. (2010). Patterns of alcohol consumption in the Thai population: Results of the National Household Survey of 2007. Alcohol & Alcoholism, 45(3), 278–285. https://doi.org/10.1093/alcalc/agq018
• Bègue, L., Pérez-Diaz, C., Subra, B., Ceaux, E., Arvers, P., Bricout, V. A., Roché, S., Swendsen, J., & Zorman, M. (2012). The role of alcohol consumption in female victimization: Findings from a French representative sample. Substance Use & Misuse, 47(1), 1–11. https://doi.org/10.3109/10826084.2011.606867
• Boonchooduang, N., Louthrenoo, O., Charnsil, C., & Narkpongphun, A. (2017). Alcohol use and associated risk behaviors among adolescents in northern Thailand. ASEAN Journal of Psychiatry, 18(2), 1–7. https://www.aseanjournalofpsychiatry.org/abstract/alcohol-use-and-associated-risk-behaviors-among-adolescents-in-northern-thailand-53376.html
• Boyle, S. C., Earle, A. M., LaBrie, J. W., & Ballou, K. (2017). Facebook dethroned: Revealing the more likely social media destinations for college students' depictions of underage drinking. Addictive Behaviors, 65, 63–67. https://doi.org/10.1016/j.addbeh.2016.10.004
• Cavazos-Rehg, P. A., Krauss, M. J., Sowles, S. J., & Bierut, L. J. (2015). "Hey, everyone, I'm drunk." An evaluation of drinking-related Twitter chatter. Journal of Studies on Alcohol and Drugs, 76(4), 635–643. https://doi.org/10.15288/jsad.2015.76.635
• Chaveepojnkamjorn, W. (2012). Alcohol consumption patterns among vocational school students in central Thailand. Southeast Asian Journal of Tropical Medicine and Public Health, 43(6), 1560–1567. https://www.tm.mahidol.ac.th/seameo/2012-43-6-full/28-5308-7.pdf
• Chaveepojnkamjorn, W., & Pichainarong, N. (2009). Drinking behavior among female high school students in central Thailand. Journal of Medical Association of Thailand, 92(Suppl 7), S1–S7. http://www.jmatonline.com/PDF/92-S7-PB-S1-S7.pdf
• Chaveepojnkamjorn, W., & Pichainarong, N. (2010). Factors associated with alcohol consumption among male high school students in central Thailand. Southeast Asian Journal of Tropical Medicine and Public Health, 41(3), 735–742. https://www.tm.mahidol.ac.th/seameo/2010-41-3/30-4693.pdf
• Chaveepojnkamjorn, W., & Pichainarong, N. (2011). Current drinking and health-risk behaviors among male high school students in central Thailand. BMC Public Health, 11(1), Article 233. https://doi.org/10.1186/1471-2458-11-233
• Chersich, M., & Rees, H. (2010). Causal links between binge drinking patterns, unsafe sex and HIV in South Africa: It's time to intervene. International Journal of STD & AIDS, 21(1), 2–7. https://doi.org/10.1258/ijsa.2000.009432
• Crocamo, C., Viviani, M., Bartoli, F., Carrà, G., & Pasi, G. (2020). Detecting binge drinking and alcohol-related risky behaviours from Twitter’s users: An exploratory content- and topology-based analysis. International Journal of Environmental Research and Public Health, 17(5), Article 1510. https://www.mdpi.com/1660-4601/17/5/1510
• Curtis, A., Vandenberg, B., Mayshak, R., Coomber, K., Hyder, S., Walker, A., Liknaitzky, P., & Miller, P. G. (2019). Alcohol use in family, domestic and other violence: Findings from a cross‐sectional survey of the Australian population. Drug and Alcohol Review, 38(4), 349–358. https://doi.org/10.1111/dar.12925
• Curtis, B., Giorgi, S., Buffone, A. E., Ungar, L. H., Ashford, R. D., Hemmons, J., Summers, D., Hamilton, C., & Schwartz, H. A. (2018). Can Twitter be used to predict county excessive alcohol consumption rates? PLOS ONE, 13(4), Article e0194290. https://doi.org/10.1371/journal.pone.0194290
• Curtis, B. L., Lookatch, S. J., Ramo, D. E., McKay, J. R., Feinn, R. S., & Kranzler, H. R. (2018). Meta-analysis of the association of alcohol-related social media use with alcohol consumption and alcohol-related problems in adolescents and young adults. Alcoholism: Clinical and Experimental Research, 42(6), 978–986. https://doi.org/10.1111/acer.13642
• Data Commons. (2025). Ranking by Pure Alcohol Consumption Per Capita (Annual): All Countries in Asia. Google. https://datacommons.org/ranking/Amount_Consumption_Alcohol_15OrMoreYears_AsFractionOf_Count_Person_15OrMoreYears/Country/asia
• Dean, B. (2025, April 14). X (Twitter) statistics: How many people use X? Backlinko. https://backlinko.com/twitter-users
• Dingwall, G. (2013). Alcohol and crime. Willan.
• Erevik, E. K., Torsheim, T., Vedaa, Ø., Andreassen, C. S., & Pallesen, S. (2017). Sharing of alcohol-related content on social networking sites: Frequency, content, and correlates. Journal of Studies on Alcohol and Drugs, 78(4), 608–616. https://doi.org/10.15288/jsad.2017.78.608
• GVWire. (2025, January 4). Elon Musk announces algorithm change to reduce negativity on X. https://gvwire.com/2025/01/04/elon-musk-announces-algorithm-change-to-reduce-negativity-on-x/
• Hasan, A., Moin, S., Karim, A., & Shamshirband, S. (2018). Machine learning-based sentiment analysis for Twitter accounts. Mathematical and Computational Applications, 23(1), Article 11. https://doi.org/10.3390/mca23010011
• Hendriks, H., Van den Putte, B., Gebhardt, W. A., & Moreno, M. A. (2018). Social drinking on social media: Content analysis of the social aspects of alcohol-related posts on Facebook and Instagram. Journal of Medical Internet Research, 20(6), Article e226. https://doi.org/10.2196/jmir.9355
• Hongthong, D., Areesantichai, C., Kaunkaew, W., Chinnawattanad, T., & Nuddakul, A. (2012). Drinking risk level and alcohol consumption situation among senior high school students in a rural area of Thailand. Journal of Health Research, 26(4), 187–191. https://he01.tci-thaijo.org/index.php/jhealthres/article/view/85436
• Julien, R. M., Advokat, C. D., & Comaty, J. E. (2023). Julien's Primer of Drug Action. Macmillan Higher Education.
• Kaewpramkusol, R. (2018). Exploring normalisation of alcohol consumption in Thailand, and investigating influences of alcohol marketing, advertising and promotion on young Thai people’s drinking attitudes and perceptions (Doctoral dissertation, University of Wollongong). University of Wollongong Research Online. https://ro.uow.edu.au/theses1/491
• Kata, P. (2021, December). Kansueksa mattrakan chumchon nai kan khwopkhum phuethikam kan duem aelkoho̜l læ kan lot antarai nai klum siang nai muban [The study of community interventions in order to control alcohol drinking behavior and reducing harm among risk groups in a village]. Center for Alcohol Studies. https://cas.or.th/wp-content/uploads/2022/01/รายงานการศึกษามาตรการชุมชนฯ.pdf
• Khondok, M., Homsin, P., & Srisuriyawet, R. (2012). Pachai thi mi khwamsamphan kap kan duem khruengduem aelkoho̜l nai raya raek khong nakrian chai matthayomsueksa ton ton amphoe Bangnampriao, changwat Chachoengsao [Factors related to the early stage of alcohol drinking among male students at lower secondary schools, Bangnampriao district, Chachoengsao province]. The Public Health Journal of Burapha University, 7(1), 19–32. https://he02.tci-thaijo.org/index.php/phjbuu/article/view/45571
• Krippendorff, K. (2004). Reliability in content analysis. Human Communication Research, 30(3), 411–433. https://doi.org/10.1111/j.1468-2958.2004.tb00738.x
• Kursuncu, U., Gaur, M., Lokala, U., Thirunarayan, K., Sheth, A., & Arpinar, I. B. (2019). Predictive analysis on Twitter: Techniques and applications. In N. Agarwal, N. D. Chauhan, & R. Kar (Eds.), Emerging research challenges and opportunities in computational social network analysis and mining (pp. 67–104). Springer. https://doi.org/10.1007/978-3-030-31423-0_4
• Lamy, F. R., Daniulaityte, R., Sheth, A., Nahhas, R. W., Martins, S. S., Boyer, E. W., & Carlson, R. G. (2016). “Those edibles hit hard”: Exploration of Twitter data on cannabis edibles in the US. Drug and Alcohol Dependence, 164, 64–70. https://doi.org/10.1016/j.drugalcdep.2016.04.029
• Litt, D. M., Lewis, M. A., Spiro, E. S., Aulck, L., Waldron, K. A., Head-Corliss, M. K., & Swanson, A. (2018). #drunktwitter: Examining the relations between alcohol-related Twitter content and alcohol willingness and use among underage young adults. Drug and Alcohol Dependence, 193, 75–82. https://doi.org/10.1016/j.drugalcdep.2018.08.021
• Luecha, T., Peremans, L., Dilles, T., Poontawee, P., & Van Rompaey, B. (2020). The prevalence of and factors related to alcohol consumption among young people in Thailand: A systematic review of observational studies. Drugs: Education, Prevention and Policy, 27(5), 337–358. https://doi.org/10.1080/09687637.2020.1729701
• Malamuth, N. M., Addison, T., & Koss, M. (2000). Pornography and sexual aggression: Are there reliable effects and can we understand them? Annual Review of Sex Research, 11(1), 26–91. https://doi.org/10.1080/10532528.2000.10559784
• Marzi, G., Balzano, M., & Marchiori, D. (2024). K-Alpha Calculator-Krippendorff's Alpha Calculator: A user-friendly tool for computing Krippendorff's Alpha inter-rater reliability coefficient. MethodsX, 12, Article 102545. https://doi.org/10.1016/j.mex.2023.102545
• McNaughton, E. C., Black, R. A., Weber, S. E., & Butler, S. F. (2014). Assessing abuse potential of new analgesic medications following market release: An evaluation of Internet discussion of tapentadol abuse. Pain Medicine, 16(1), 131–140. https://doi.org/10.1111/pme.12547
• McNeil, E., Inthawong, Y., & Assanangkornchai, S. (2016). Access to alcohol and binge drinking among vocational college students: A multilevel study in a tourist destination province of Thailand. International Journal of Alcohol and Drug Research, 5(2), 47–55. https://doi.org/10.7895/ijadr.v5i2.214
• Merrill, J., Riordan, B., Ward, R. M., & Raubenheimer, J. (2023, January). Using Twitter post data to ascertain the sentiment of alcohol-related blackouts in the United States. In T. X. Bui (Ed.), Proceedings of the 56th Annual Hawaii International Conference on System Sciences (HICSS) (pp. 3282–3291). University of Hawai‘i at Mānoa. https://doi.org/10.24251/HICSS.2023.414
• Moewaka Barnes, H., McCreanor, T., Goodwin, I., Lyons, A., Griffin, C., & Hutton, F. (2016). Alcohol and social media: Drinking and drunkenness while online. Critical Public Health, 26(1), 62–76. https://doi.org/10.1080/09581596.2015.1058921
• Moreno, M. A., Briner, L. R., Williams, A., Walker, L., & Christakis, D. A. (2009). Real use or “real cool”: Adolescents speak out about displayed alcohol references on social networking websites. Journal of Adolescent Health, 45(4), 420–422. https://doi.org/10.1016/j.jadohealth.2009.04.015
• Murray, C. J. L., Aravkin, A. Y., Zheng, P., Abbafati, C., Abbas, K. M., Abbasi-Kangevari, M., Abd-Allah, F., Abdelalim, A., Abdollahi, M., Abdollahpour, I., Abegaz, K. H., Abolhassani, H., Aboyans, V., Abreu, L. G., Abrigo, M. R. M., Abualhasan, A., Abu-Raddad, L. J., Abushouk, A. I., Adabi, M., … Lim, S. S. (2020). Global burden of 87 risk factors in 204 countries and territories, 1990–2019: A systematic analysis for the Global Burden of Disease Study 2019. The Lancet, 396(10258), 1223–1249. https://doi.org/10.1016/S0140-6736(20)30752-2
• Neuendorf, K. A. (2009). Reliability for content analysis. In A. B. Jordan, D. Kunkel, J. Manganello, & M. Fishbein (Eds.), Media messages and public health: A decisions approach to content analysis (pp. 67–87). Routledge.
• Olteanu, A., Castillo, C., Diaz, F., & Kıcıman, E. (2019). Social data: Biases, methodological pitfalls, and ethical boundaries. Frontiers in Big Data, 2, Article 13. https://doi.org/10.3389/fdata.2019.00013
• Öström, M., & Eriksson, A. (2001). Pedestrian fatalities and alcohol. Accident Analysis & Prevention, 33(2), 173–180. https://doi.org/10.1016/S0001-4575(00)00028-9
• Pang, R. D., Dormanesh, A., Hoang, Y., Chu, M., & Allem, J.-P. (2021). Twitter posts about cannabis use during pregnancy and postpartum: a content analysis. Substance Use & Misuse, 56(7), 1074–1077. https://doi.org/10.1080/10826084.2021.1906277
• Pengpid, S., & Peltzer, K. (2012). Alcohol use and associated factors among adolescent students in Thailand. West Indian Medical Journal, 61(9), 890–896. https://he02.tci-thaijo.org/index.php/phjbuu/article/view/45571
• Petpailin, P. (2023, November 28). Violence against women and children in Thailand triples in 2022. Thaiger. https://thethaiger.com/news/national/violence-against-women-and-children-in-thailand-triples-in-2022
• Pichainarong, N., & Chaveepojnkamjorn, W. (2010). Youth and alcoholic beverages: drinking patterns among high school students in central Thailand. Southeast Asian Journal of Tropical Medicine and Public Health, 41(6), 1467–1474. https://www.tm.mahidol.ac.th/seameo/2010-41-6/27-4955.pdf
• Ranney, M. L., Chang, B., Freeman, J. R., Norris, B., Silverberg, M., & Choo, E. K. (2016). Tweet now, see you in the ED later? Examining the association between alcohol‐related tweets and emergency care visits. Academic Emergency Medicine, 23(7), 831–834. https://doi.org/10.1111/acem.12983
• Ricard, B. J., & Hassanpour, S. (2021). Deep learning for identification of alcohol-related content on social media (Reddit and Twitter): Exploratory analysis of alcohol-related outcomes. Journal of Medical Internet Research, 23(9), Article e27314. https://doi.org/10.2196/27314
• Ridout, B., Campbell, A., & Ellis, L. (2012). ‘Off your Face(book)’: Alcohol in online social identity construction and its relation to problem drinking in university students. Drug and Alcohol Review, 31(1), 20–26. https://doi.org/10.1111/j.1465-3362.2010.00277.x
• Russell, A. M., Davis, R. E., Ortega, J. M., Colditz, J. B., Primack, B., & Barry, A. E. (2021). #Alcohol: Portrayals of alcohol in top videos on TikTok. Journal of Studies on Alcohol and Drugs, 82(5), 615–622. https://doi.org/10.15288/jsad.2021.82.615
• Saingam, D., Assanangkornchai, S., & Geater, A. F. (2012). Drinking-smoking status and health risk behaviors among high school students in Thailand. Journal of Drug Education, 42(2), 177–193. https://doi.org/10.2190/DE.42.2.d
• Sakulthanit, P., Oo, M. Z., Tint, S. S., & Yamarat, K. (2024). Effectiveness of the health education intervention using Facebook and LINE on intention to reduce alcohol consumption among entertainment girls in Bangkok, Thailand: A randomized controlled trial. The Open Public Health Journal, 17(1), Article e187494453098262. https://doi.org/10.2174/0118749445309826240516114214
• Sitthisongkram, S., Prakobchai, S., & Rajchawang, N. (2023). Factors associated with alcohol consumption among Thai people by gender: Results from the Smoking and Drinking Behavior Survey 2014. Journal of Addictions Nursing, 34(3), 197–210. https://doi.org/10.1097/JAN.0000000000000532
• Siviroj, P., Peltzer, K., Pengpid, S., Yungyen, Y., & Chaichana, A. (2012). Drinking motives, sensation seeking, and alcohol use among Thai high school students. Social Behavior and Personality, 40(8), 1255–1262. https://doi.org/10.2224/sbp.2012.40.8.1255
• Somhar, T. (2023, October 2). Thailand ranks among top 10 countries for violence against women and girls. The Nation. https://www.nationthailand.com/thailand/general/40031638
• Staines, G. L., Magura, S., Foote, J., Deluca, A., & Kosanke, N. (2001). Polysubstance use among alcoholics. Journal of Addictive Diseases, 20(4), 57–73. https://doi.org/10.1300/J069v20n04_06
• Straus, A., & Corbin, J. (1990). Basics of qualitative research: Grounded theory procedures and techniques. Sage.
• Tantirangsee, N., Assanangkornchai, S., & Geater, A. F. (2014). Trends and associated factors of alcohol consumption among Southern Thai adolescents, 2003–2009. International Journal of Alcohol and Drug Research, 3(3), 219–225. https://doi.org/10.7895/ijadr.v3i3.152
• Thailand National Statistical Office. (2017). Kansamruat phuettikam kan sup buri læ kan duem sura khong prachakon, phō̜. sō̜. 2560 [The smoking and drinking behaviour survey 2017]. https://www.nso.go.th/nsoweb/storage/survey_detail/2023/20230505110006_18275.pdf.
• Thonponkrang, R., Homsin, P., & Srisuriyawet, R. (2016). Pachai thi mi khwamsamphan kap kan duem sura baep nak pen khrangkhraw khong nakrian chai achiwaseuksa nai changwat Surin [Factors associated with binge drinking among male vocational students in Surin province]. Journal of Public Health Nursing, 29(1), 29–42. https://he01.tci-thaijo.org/index.php/phn/article/view/48499.
• Tulloh, B., & Collopy, B. (1994). Positive correlation between blood alcohol level and ISS in road trauma. Injury, 25(8), 539–543. https://doi.org/10.1016/0020-1383(94)90097-3
• Vanherle, R., Hendriks, H., & Beullens, K. (2023). Only for friends, definitely not for parents: Adolescents’ sharing of alcohol references on social media features. Mass Communication and Society, 26(1), 47–73. https://doi.org/10.1080/15205436.2022.2035767
• Vantamay, N. (2012). The impacts of alcohol marketing communications on cognitive, affective, and behavioral responses among Thai youth in Bangkok. International Journal of Business and Social Science, 3(18), 286–295. https://ijbssnet.com/journals/Vol_3_No_18_Special_Issue_September_2012/34.pdf
• Vantamay, S. (2009). Alcohol consumption among university students: Applying a social ecological approach for multi-level prevention. Southeast Asian Journal of Tropical Medicine and Public Health, 40(2), 354–369. https://www.tm.mahidol.ac.th/seameo/2009-40-2/20-4496.pdf
• Vichitkunakorn, P., Intusoma, U., & Assanangkornchai, S. (2021). Binge drinking and drunk driving among current drinkers in Thailand: Analysis of cigarette smoking and alcohol drinking behavior surveys from 2007 to 2017. Asia Pacific Journal of Public Health, 33(2-3), 234–241. https://doi.org/10.1177/1010539520971178
• Waskom, M. L. (2021). Seaborn: Statistical data visualization. Journal of Open Source Software, 6(60), Article 3021. https://doi.org/10.21105/joss.03021
• Westgate, E. C., & Holliday, J. (2016). Identity, influence, and intervention: The roles of social media in alcohol use. Current Opinion in Psychology, 9, 27–32. https://doi.org/10.1016/j.copsyc.2015.10.014
• World Health Organization (WHO). (2018, September 27). Global status report on alcohol and health 2018. https://www.who.int/publications/i/item/9789241565639
• World Health Organization (WHO). (2019). Alcohol: Thailand 2018 country profile. https://cdn.who.int/media/docs/default-source/country-profiles/substances-abuse/tha.pdf?sfvrsn=d26a2fc8_3&download=true
• Wright, P. J., Tokunaga, R. S., & Kraus, A. (2016). A meta-analysis of pornography consumption and actual acts of sexual aggression in general population studies. Journal of Communication, 66(1), 183–205. https://doi.org/10.1111/jcom.12201
• Yeh, J. C., Niederdeppe, J., Lewis, N. A., Jr., & Jernigan, D. H. (2023). Social media campaigns to influence alcohol consumption and related harms, attitudes, and awareness: A systematic review. Journal of Studies on Alcohol and Drugs, 84(4), 546–559. https://doi.org/10.15288/jsad.22-00264
