Self-Reported versus Actual Alcohol-Related Communication on Instagram: Exploring the Gap

References

• AHOVKS. (2017). Hoger onderwijs in cijfers - Beknopt: Academiejaar 2016-2017. Agentschap Hoger Onderwijs, Volwassenenonderwijs, Kwalificaties & Studietoelagen.
   Google Scholar
• Ajzen, I. (2010). Constructing a theory of planned behavior questionnaire. https://people.umass.edu/aizen/pdf/tpb.measurement.pdf
   Google Scholar
• Andrews, S., Ellis, D. A., Shaw, H., & Piwek, L. (2015). Beyond self-report: Tools to compare estimated and real-world smartphone use. PLOS ONE, 10(10), e0139004. https://doi.org/10.1371/journal.pone.0139004
   Web of Science ®Google Scholar
• Auxier, B., & Anderson, M. (2021). Social media use in 2021. Pew Research Center. https://www.pewresearch.org/internet/2021/04/07/social-media-use-in-2021/
   Google Scholar
• Bergkvist, L. (2015). Appropriate use of single-item measures is here to stay. Marketing Letters, 26(3), 245–255. https://doi.org/10.1007/s11002-014-9325-y
   Web of Science ®Google Scholar
• Beullens, K., & Schepers, A. (2013). Display of alcohol use on Facebook: A content analysis. Cyberpsychology, Behavior and Social Networking, 16(7), 497–503. https://doi.org/10.1089/cyber.2013.0044
   PubMed Web of Science ®Google Scholar
• Beullens, K., & Vandenbosch, L. (2016). A conditional process analysis on the relationship between the use of social networking sites, attitudes, peer norms and adolescents’ intentions to consume alcohol. Media Psychology, 19(2), 310–333. https://doi.org/10.1080/15213269.2015.1049275
   Web of Science ®Google Scholar
• Boase, J., & Ling, R. (2013). Measuring mobile phone use: Self-report versus log data. Journal of Computer-Mediated Communication, 18(4), 508–519. https://doi.org/10.1111/jcc4.12021
   Web of Science ®Google Scholar
• 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
   PubMed Web of Science ®Google Scholar
• Bravo, A. J., Pearson, M. R., Pilatti, A., Read, J. P., Mezquita, L., Ibáñez, M. I., & Ortet, G. (2017). Cross-cultural examination of college drinking culture in Spain, Argentina, and USA: Measurement invariance testing of the College Life Alcohol Salience Scale. Drug and Alcohol Dependence, 180, 349–355. https://doi.org/10.1016/j.drugalcdep.2017.08.016
   PubMed Web of Science ®Google Scholar
• Chung, A., & Rimal, R. N. (2016). Social norms: A review. Review of Communication Research, 4, 1–28. https://doi.org/10.12840/.2255-4165.2016.04.01.008
   Web of Science ®Google Scholar
• D’Angelo, J., Kerr, B., & Moreno, M. A. (2014). Facebook displays as predictors of binge drinking. Bulletin of Science, Technology & Society, 34(5–6), 159–169. https://doi.org/10.1177/0270467615584044
   PubMedGoogle Scholar
• Erevik, E. K., Torsheim, T., Andreassen, C. S., Vedaa, Ø., & Pallesen, S. (2017). Disclosure and exposure of alcohol on social media and later alcohol use: A large-scale longitudinal study. Frontiers in Psychology, 8(1934), 1–11. https://doi.org/10.3389/fpsyg.2017.01934
   Google Scholar
• Field, A. (2009). Discovering statistics using SPSS (3rd ed.). Sage.
   Google Scholar
• Fullwood, C., James, B. M., & Chen-Wilson, C.-H. (2016). Self-concept clarity and online self-presentation in adolescents. Cyberpsychology, Behavior, and Social Networking, 19 (12), 716–720. (Josephine). https://doi.org/10.1089/cyber.2015.0623
   PubMed Web of Science ®Google Scholar
• Geusens, F., & Beullens, K. (2016). Spelen sociale netwerksites een rol in de alcoholconsumptie van jongeren? Een literatuuroverzicht. Tijdschrift Voor Communicatiewetenschap, 44(3), 194–209. https://doi.org/10.5117/2016.044.003.002
   Google Scholar
• Geusens, F., & Beullens, K. (2017). The reciprocal associations between sharing alcohol references on social networking sites and binge drinking: A longitudinal study among late adolescents. Computers in Human Behavior, 73, 499–506. https://doi.org/10.1016/j.chb.2017.03.062
   Web of Science ®Google Scholar
• Geusens, F., & Beullens, K. (2018). The association between social networking sites and alcohol abuse among Belgian adolescents. Journal of Media Psychology, 30(4), 207–216. https://doi.org/10.1027/1864-1105/a000196
   Web of Science ®Google Scholar
• Geusens, F., & Beullens, K. 2020. Triple spirals? A three-wave panel study on the longitudinal associations between social media use and young individuals’ alcohol consumption. Media Psychology, 1–26. Advance online publication. https://doi.org/10.1080/15213269.2020.1804404.
   Google Scholar
• Geusens, F., & Beullens, K. (in press). Perceptions surpass reality: Self-reported alcohol-related communication on Instagram is more strongly related with frequency of alcohol consumption and binge drinking than actual alcohol-related communication. Drug and Alcohol Dependence. https://doi.org/10.1016/j.drugalcdep.2021.109004
   Google Scholar
• Geusens, F., Bigman-Galimore, C. A., & Beullens, K. (2020). A cross-cultural comparison of the processes underlying the associations between sharing of and exposure to alcohol references and drinking intentions. New Media & Society, 22(1), 49–69. https://doi.org/10.1177/1461444819860057
   Web of Science ®Google Scholar
• Geusens, F., Vangeel, J., Vervoort, L., Van Lippevelde, W., & Beullens, K. (2019). Disposition-content congruency in adolescents’ alcohol-related social media (self-) effects: The role of the five-factor model. Journal of Studies on Alcohol and Drugs, 80(6), 631–640. https://doi.org/10.15288/jsad.2019.80.631
   PubMed Web of Science ®Google Scholar
• Hayes, A. F., & Krippendorff, K. (2007). Answering the call for a standard reliability measure for coding data. Communication Methods and Measures, 1(1), 77–89. https://doi.org/10.1080/19312450709336664
   Google Scholar
• Hebden, R., Lyons, A. C., Goodwin, I., & McCreanor, T. (2015). “When you add alcohol, it gets that much better”: University students, alcohol consumption, and online drinking cultures. Journal of Drug Issues, 45(2), 214–226. https://doi.org/10.1177/0022042615575375
   Web of Science ®Google Scholar
• Hendriks, H., Gebhardt, W. A., & van den Putte, B. (2017). Alcohol-related posts from young people on social networking sites: Content and motivations. Cyberpsychology, Behavior, and Social Networking, 20(7), 428–435. https://doi.org/10.1089/cyber.2016.0640
   PubMed Web of Science ®Google Scholar
• 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), e226–e238. https://doi.org/10.2196/jmir.9355
   PubMed Web of Science ®Google Scholar
• Katz, E., Blumler, J. G., & Gurevitch, M. (1974). Uses and gratifications research. Public Opinion Quarterly, 37(4), 509–523. https://doi.org/10.1086/268109
   Web of Science ®Google Scholar
• King, M. F., & Bruner, G. C. (2000). Social desirability bias: A neglected aspect of validity testing. Psychology and Marketing, 17(2), 79–103. https://doi.org/10.1002/(SICI)1520-6793(200002)17:2<79::AID-MAR2>3.0.CO;2-0
   Web of Science ®Google Scholar
• Krippendorff, K. (2004). Content analysis: An introduction to its methodology (2nd ed.). Sage.
   Google Scholar
• Lang, A. (2006). Using the limited capacity model of motivated mediated message processing to design effective cancer communication messages. Journal of Communication, 56(Suppl.), 57–80. https://doi.org/10.1111/j.1460-2466.2006.00283.x
   Google Scholar
• Muthén, B. O., & Satorra, A. (1995). Complex sample data in structural equation modeling. Sociological Methodology, 25, 267. https://doi.org/10.2307/271070
   Web of Science ®Google Scholar
• Muthén, L. K., & Muthén, B. O. (2017). MPlus user’ guide (8th ed.). Muthén & Muthén. https://www.statmodel.com/download/usersguide/MplusUserGuideVer_8.pdf
   Google Scholar
• Niland, P., Lyons, A. C., Goodwin, I., & Hutton, F. (2014). “See it doesn’t look pretty does it?” Young adults’ airbrushed drinking practices on Facebook. Psychology & Health, 29(8), 877–895. https://doi.org/10.1080/08870446.2014.893345
   PubMed Web of Science ®Google Scholar
• Noel, J. K., Sammartino, C. J., & Rosenthal, S. R. (2020). Exposure to digital alcohol marketing and alcohol use: A systematic review. Journal of Studies on Alcohol and Drugs, Supplement, Supplement(s19), 57–67. https://doi.org/10.15288/jsads.2020.s19.57
   Google Scholar
• Peluchette, J. & Karl, K. (2009). Examining students’ intended image on Facebook: “What were they thinking?!”. Journal of Education for Business,85(1), 30–37. https://doi.org/10.1080/08832320903217606
   Google Scholar
• Rascati, K. L., Smith, M. J., & Neilands, T. (2001). Dealing with skewed data: An example using asthma-related costs of medicaid clients. Clinical Therapeutics, 23(3), 481–498. https://doi.org/10.1016/S0149-2918(01)80052-7
   PubMed Web of Science ®Google Scholar
• Ravn, S., Barnwell, A., & Barbosa Neves, B. (2020). What is “publicly available data”? Exploring blurred public–private boundaries and ethical practices through a case study on Instagram. Journal of Empirical Research on Human Research Ethics, 15(1–2), 40–45. https://doi.org/10.1177/1556264619850736
   Google Scholar
• Ridout, B. (2016). Facebook, social media and its application to problem drinking among college students. Current Opinion in Psychology, 9, 83–87. https://doi.org/10.1016/j.copsyc.2015.12.005
   Web of Science ®Google Scholar
• Rosiers, J. (2019). Uitgaansonderzoek 2018. VAD. https://www.vad.be/assets/uitgaansonderzoek_2018
   Google Scholar
• Savolainen, I., Oksanen, A., Kaakinen, M., Sirola, A., Miller, B. L., Paek, H. J., & Zych, I. (2020). The association between social media use and hazardous alcohol use among youths: A four-country study. Alcohol and Alcoholism, 55(1), 86–95. https://doi.org/10.1093/alcalc/agz088
   PubMed Web of Science ®Google Scholar
• Schlenker, B. R. (1980). Impression management: The self-concept, social identity, and interpersonal relations. Brooks/Cole Publishing Company.
   Google Scholar
• Sheldon, P., & Bryant, K. (2016). Instagram: Motives for its use and relationship to narcissism and contextual age. Computers in Human Behavior, 58, 89–97. https://doi.org/10.1016/j.chb.2015.12.059
   Web of Science ®Google Scholar
• Simons, J. S., Wills, T. A., Emery, N. N., & Marks, R. M. (2015). Quantifying alcohol consumption: Self-report, transdermal assessment, and prediction of dependence symptoms. Addictive Behaviors, 50, 205–212. https://doi.org/10.1016/j.addbeh.2015.06.042
   PubMed Web of Science ®Google Scholar
• StatBel. (2018). Structuur van de bevolking. https://statbel.fgov.be/nl/themas/bevolking/structuur-van-de-bevolking
   Google Scholar
• Steers, M. L. N., Ward, R. M., Neighbors, C., Tanygin, A. B., Guo, Y., & Teas, E. (2021). Double vision on social media: How self-generated alcohol-related content posts moderate the link between viewing others’ posts and drinking. Journal of Health Communication, 26(1), 12–18. https://doi.org/10.1080/10810730.2021.1878311
   PubMed Web of Science ®Google Scholar
• Sudman, S., Bradburn, N. M., & Schwarz, N. (1996). Thinking about answers: The application of cognitive processes to survey methodology. Jossey-Bass Publishers.
   Google Scholar
• Townsend, L., & Wallace, C. (2016). Social media research: A guide to ethics. University of Aberdeen. https://www.gla.ac.uk/media/media_487729_en.pdf%0Ahttp://www.gla.ac.uk/media/media_487729_en.pdf
   Google Scholar
• Tversky, A., & Kahneman, D. (1973). Availability: A heuristic for judging frequency and probability. Cognitive Psychology, 5(2), 207–232. https://doi.org/10.1016/0010-0285(73)90033-9
   Web of Science ®Google Scholar
• Valkenburg, P. M., & Peter, J. (2013). The differential susceptibility to media effects model. Journal of Communication, 63(2), 221–243. https://doi.org/10.1111/jcom.12024
   Web of Science ®Google Scholar
• Van Damme, J., Thienpondt, A., Rosiers, J., De Bruyn, S., Soyez, V., Sisk, M., Van, H. G., & Deforche, B. (2018). hogere sferen? (Volume 4) Een onderzoek naar het middelengebruik bij Vlaamse studenten. VAD.
   Google Scholar
• van de Mortel, T. F. (2008). Faking it: Social desirability response bias in self-report research. Australian Journal of Advanced Nursing, 25(4), 40–48. https://researchportal.scu.edu.au/esploro/outputs/journalArticle/Faking-it-social-desirability-response-bias/991012821838002368
   Web of Science ®Google Scholar
• Vanden Abeele, M., Beullens, K., & Roe, K. (2013). Measuring mobile phone use: Gender, age and real usage level in relation to the accuracy and validity of self-reported mobile phone use. Mobile Media & Communication, 1(2), 213–236. https://doi.org/10.1177/2050157913477095
   Web of Science ®Google Scholar
• Vandendriessche, K., & De Marez, L. (2019). IMEC digimeter 2019: Digitale mediatrends in Vlaanderen. IMEC. www.imec.be/digimeter
   Google Scholar
• Walther, J. B. (2017). The merger of mass and interpersonal communication via new media: Integrating metaconstructs. Human Communication Research, 43(4), 559–572. https://doi.org/10.1111/hcre.12122
   Web of Science ®Google Scholar
• Westgate, E. C., Neighbors, C., Heppner, H., Jahn, S., & Lindgren, K. P. (2014). “I will take a shot for every ‘like’ I get on this status”: Posting alcohol-related Facebook content is linked to drinking outcomes. Journal of Studies on Alcohol & Drugs, 75(3), 390–398. https://doi.org/10.15288/jsad.2014.75.390
   PubMed Web of Science ®Google Scholar