Twitter language samples reflect collective emotional responses following political leaders’ rhetoric during the pandemic across four countries

Ahmadian, S., Azarshahi, S., & Paulhus, D. L. (2017). Explaining Donald Trump via communication style: Grandiosity, informality, and dynamism. Personality and Individual Differences, 107, 49–53. https://doi.org/10.1016/j.paid.2016.11.018 Search in Google Scholar

Ashokkumar, A., & Pennebaker, J. W. (2021). The social and psychological changes of the first months of COVID-19. PsyArXiv. https://doi.org/10.31234/osf.io/a34qp Search in Google Scholar

Barbieri, F., Camacho-Collados, J., Neves, L., & Espinosa-Anke, L. (2020). TweetEval: Unified benchmark and comparative evaluation for Tweet classification (arXiv:2010.12421). arXiv. http://arxiv.org/abs/2010.12421 Search in Google Scholar

Barry, J. M. (2004). The great influenza: The epic story of the deadliest plague in history. Viking Press. Search in Google Scholar

Berry-Blunt, A. K., Holtzman, N. S., Donnellan, M. B., & Mehl, M. R. (2021). The story of “I” tracking: Psychological implications of self-referential language use. Social and Personality Psychology Compass. https://doi.org/10.1111/spc3.12647 Search in Google Scholar

Borelli, J. L., David, D. H., Rifkin-Graboi, A., Sbarra, D. A., Mehl, M. R., & Mayes, L. C. (2013). Language use in the Adult Attachment Interview: Evidence for attachment-specific emotion regulation. Personal Relationships, 20(1), 23–37. https://doi.org/10.1111/j.1475-6811.2012.01394.x Search in Google Scholar

Boyd, R. L., & Pennebaker, J. W. (2017). Language-based personality: A new approach to personality in a digital world. Current Opinion in Behavioral Sciences, 18, 63-68. https://doi.org/10.1016/j.cobeha.2017.07.017 Search in Google Scholar

Brummette, J., & Fussell Sisco, H. (2015). Using Twitter as a means of coping with emotions and uncontrollable crises. Public Relations Review, 41(1), 89–96. https://doi.org/10.1016/j.pubrev.2014.10.009 Search in Google Scholar

Bryan, M. L., & Jenkins, S. P. (2016). Multilevel modelling of country effects: A cautionary tale. European Sociological Review, 32(1), 3–22. https://doi.org/10.1093/esr/jcv059 Search in Google Scholar

Bundesamt für Statistik (BFS). (2021). Sprachliche Praktiken in der Schweiz—Erste Ergebnisse der Erhebung zur Sprache, Religion und Kultur 2019. Bundesamt Für Statistik (BFS). Search in Google Scholar

Butler, E. A., & Randall, A. K. (2012). Emotional coregulation in close relationshiups. Emotion Review, 5(2), 202–210. https://doi.org/10.1177/1754073912451630 Search in Google Scholar

Chen, E., Lerman, K., & Ferrara, E. (2020). The First public coronavirus Twitter dataset. https://arxiv.org/abs/2003.07372 Search in Google Scholar

Cheng, I. K., Heyl, J., Lad, N., Facini, G., & Grout, Z. (2021). Evaluation of Twitter data for an emerging crisis: An application to the first wave of COVID-19 in the UK. Scientific Reports, 11(1), 19009. https://doi.org/10.1038/s41598-021-98396-9 Search in Google Scholar

Cohn, M. A., Mehl, M. R., & Pennebaker, J. W. (2004). Linguistic markers of psychological change surrounding September 11, 2001. Psychological Science, 15(10), 687–693. https://doi.org/10.1111/j.0956-7976.2004.00741.x Search in Google Scholar

Conway, L. G., Gornick, L. J., Burfeind, C., Mandella, P., Kuenzli, A., Houck, S. C., & Fullerton, D. T. (2012). Does complex or simple rhetoric win elections? An integrative complexity analysis of U.S. presidential campaigns: Complexity and electoral success in U.S. presidential campaigns. Political Psychology, 33(5), 599–618. https://doi.org/10.1111/j.1467-9221.2012.00910.x Search in Google Scholar

Cortina, J. M., & Landis, R. S. (2009). When small effect sizes tell a big story, and when large effect sizes don’t. In: C. Lance & R. J. Vandenberg (Eds.), Statistical and methodological myths and urban legends: Doctrine, verity and fable in the organizational and social sciences (pp. 287–308). Routledge. Search in Google Scholar

Dunlop, W. L., Karan, A., Wilkinson, D., & Harake, N. (2020). Love in the first degree: Individual differences in first-person pronoun use and adult romantic attachment styles. Social Psychological and Personality Science, 11(2), 254-265. https://doi.org/10.1177/1948550619847455 Search in Google Scholar

Dyer, O. (2020). Trump claims public health warnings on COVID-19 are a conspiracy against him. BMJ, m941. https://doi.org/10.1136/bmj.m941 Search in Google Scholar

Falkenbach, M., & Greer, S. L. (2020). Denial and distraction: How the populist radical right responds to COVID-19 comment on “A scoping review of prr parties’ influence on welfare policy and its implication for population health in Europe”. International Journal of Health Policy and Management, 1. https://doi.org/10.34172/ijhpm.2020.141 Search in Google Scholar

Garcia, D., Pellert, M., Lasser, J., & Metzler, H. (2021). Social media emotion macroscopes reflect emotional experiences in society at large. ArXiv:2107.13236 [Cs]. http://arxiv.org/abs/2107.13236 Search in Google Scholar

Garcia, D., & Rimé, B. (2019). Collective emotions and social resilience in the digital traces after a terrorist attack. Psychological Science, 30(4), 617–628. https://doi.org/10.1177/0956797619831964 Search in Google Scholar

Gelman, A. (2005). Comment: fuzzy and Bayesian p-values and u-values. Statistical Science, 20(4). https://doi.org/10.1214/088342305000000368 Search in Google Scholar

Goldenberg, A., & Gross, J. J. (2020). Digital emotion contagion. Trends in Cognitive Sciences, 24(4), 316–328. https://doi.org/10.1016/j.tics.2020.01.009 Search in Google Scholar

Götz, F. M., Gosling, S. D., & Rentfrow, P. J. (2022). Small effects: The indispensable foundation for a cumulative psychological science. Perspectives on Psychological Science, 17(1), 205-215. https://doi.org/10.1177/1745691620984483 Search in Google Scholar

Hamilton, J. D. (1994). Time series analysis. Princeton University Press. Search in Google Scholar

Hanschmidt, F., & Kersting, A. (2021). Emotions in Covid-19 Twitter discourse following the introduction of social contact restrictions in Central Europe. Journal of Public Health, 14. https://doi.org/10.1007/s10389-021-01613-y Search in Google Scholar

Horn, A. B., & Maercker, A. (2016). Intra- and interpersonal emotion regulation and adjustment symptoms in couples: The role of co-brooding and co-reappraisal. BMC Psychology, 4(1), 51. https://doi.org/10.1186/s40359-016-0159-7 Search in Google Scholar

Hughes, A., & Wojcik, S. (2019, August 2). 10 facts about Americans and Twitter. Pew Research Center. https://www.pewresearch.org/fact-tank/2019/08/02/10-facts-about-americans-and-twitter/ Search in Google Scholar

Johnson, S. K. (2008). I second that emotion: Effects of emotional contagion and affect at work on leader and follower outcomes. The Leadership Quarterly, 19(1), 1–19. https://doi.org/10.1016/j.leaqua.2007.12.001 Search in Google Scholar

Jordan, K. (2022). Language analysis in political psychology. In: R. L. Boyd & M. Dehghani (Eds.), Handbook of language analysis in psychology (pp. 159–172). Guilford Publications. Search in Google Scholar

Jordan, K. N., Pennebaker, J. W., & Ehrig, C. (2018). The 2016 U.S. presidential candidates and how people tweeted about them. SAGE Open, 8(3), 215824401879121. https://doi.org/10.1177/2158244018791218 Search in Google Scholar

Karan, A., Rosenthal, R., & Robbins, M. L. (2019). Meta-analytic evidence that we-talk predicts relationship and personal functioning in romantic couples. Journal of Social and Personal Relationships, 36(9), 2624–2651. https://doi.org/10.1177/0265407518795336 Search in Google Scholar

Kramer, A. D. I., Guillory, J. E., & Hancock, J. T. (2014). Experimental evidence of massive-scale emotional contagion through social networks. Proceedings of the National Academy of Sciences, 111(24), 8788–8790. https://doi.org/10.1073/pnas.1320040111 Search in Google Scholar

Kumar, R. (2021). Impact of societal culture on COVID-19 morbidity and mortality across countries. Journal of Cross-Cultural Psychology, 52(7), 643–662. https://doi.org/10.1177/00220221211025100 Search in Google Scholar

Masiero, M., Mazzocco, K., Harnois, C., Cropley, M., & Pravettoni, G. (2020). From individual to social trauma: Sources of everyday trauma in Italy, the US and UK during the COVID-19 pandemic. Journal of Trauma & Dissociation, 21(5), 513–519. https://doi.org/10.1080/15299732.2020.1787296 Search in Google Scholar

Mehl, M. R. (2012). How taking a word for a word can be problematic: Context-dependent linguistic markers of extraversion and neuroticism. Journal of Methods and Measurement in the Social Sciences, 3(2), 30–50. Search in Google Scholar

Meier, T., Boyd, R. L., Pennebaker, J. W., Mehl, M. R., Martin, M., Wolf, M., & Horn, A. B. (2019). “LIWC auf Deutsch”: The development, psychometrics, and introduction of DE-LIWC2015. PsyArXiv. https://doi.org/10.31234/osf.io/uq8zt Search in Google Scholar

Metzler, H., Rimé, B., Pellert, M., Natale, A. D., & Garcia, D. (2022). Collective Emotions during the COVID-19 outbreak. Emotion, 23(3), 844–858. https://doi.org/10.1037/emo0001111 Search in Google Scholar

Muthen, B., & Asparouhov, T. (2012). Bayesian SEM: A more flexible representation of substantive theory. Psychological Methods, 17(3), 78. Search in Google Scholar

Muthén, L. K., & Muthén, B. O. (2017). Mplus user’s guide (8th ed.). Muthén & Muthén. Search in Google Scholar

Pellert, M., Lasser, J., Metzler, H., & Garcia, D. (2020). Dashboard of sSentiment in Austrian social media during COVID-19. Frontiers in Big Data, 3, 32. https://doi.org/10.3389/fdata.2020.00032 Search in Google Scholar

Pellert, M., Metzler, H., Matzenberger, M., & Garcia, D. (2022). Validating daily social media macroscopes of emotions. Scientific Reports, 12(1), 11236. https://doi.org/10.1038/s41598-022-14579-y Search in Google Scholar

Pennebaker, J. W., Boyd, R. L., Jordan, K., & Blackburn, K. (2015). The development and psychometric properties of LIWC2015. https://repositories.lib.utexas.edu/handle/2152/31333. Search in Google Scholar

Pennebaker, J. W., Chung, C. K., Frazee, J., Lavergne, G. M., & Beaver, D. I. (2014). When small words foretell academic success: The case of college admissions essays. PLoS One, 9(12), e115844. https://doi.org/10.1371/journal.pone.0115844 Search in Google Scholar

Pennebaker, J. W., & King, L. A. (1999). Linguistic styles: Language use as an individual difference. Journal of Personality and Social Psychology, 77(6), 1296–1312. Search in Google Scholar

Pennebaker, J. W., & Lay, T. C. (2002). Language use and personality during crises: Analyses of mayor Rudolph Giuliani’s press conferences. Journal of Research in Personality, 36(3), 271–282. https://doi.org/10.1006/jrpe.2002.2349 Search in Google Scholar

Pierce, M., Hope, H., Ford, T., Hatch, S., Hotopf, M., John, A., Kontopantelis, E., Webb, R., Wessely, S., McManus, S., & Abel, K. M. (2020). Mental health before and during the COVID-19 pandemic: A longitudinal probability sample survey of the UK population. The Lancet Psychiatry, 7(10), 883–892. https://doi.org/10.1016/S2215-0366(20)30308-4 Search in Google Scholar

Purdue, D. (2001). Neighbourhood governance: Leadership, trust and social capital. Urban Studies, 38(12), 2211–2224. https://doi.org/10.1080/00420980120087135 Search in Google Scholar

Rimé, B. (2007). Interpersonal emotion regulation. In: J. J. Gross (Ed.), Handbook of emotion regulation (pp. 466–468). The Guilford Press. Search in Google Scholar

Rimé, B. (2020). Collective responses to collective traumas: Synchronization and collective resilience. In: D. Jodelet, J. Vala, & E. Drozda-Senkowska (Eds.), Societies under threat (Vol. 3, pp. 201–211). Springer International Publishing. Search in Google Scholar

Rohrbaugh, M. J., Mehl, M. R., Shoham, V., Reilly, E. S., & Ewy, G. A. (2008). Prognostic significance of spouse we talk in couples coping with heart failure. Journal of Consulting and Clinical Psychology, 76(5), 781. https://doi.org/10.1037/a0013238 Search in Google Scholar

Schwartz, H. A., Eichstaedt, J., Kern, M. L., Park, G., Sap, M., Stillwell, D., Kosinski, M., & Ungar, L. (2014). Towards assessing changes in degree of depression through Facebook. Proceedings of the Workshop on Computational Linguistics and Clinical Psychology: From Linguistic Signal to Clinical Reality, 118–125. https://doi.org/10.3115/v1/W14-3214 Search in Google Scholar

Schwartz, H. A., Sap, M., Kern, M. L., Eichstaedt, J. C., Kapelner, A., Agrawal, M., Blanco, E., Dziurzynski, L., Park, G., Stillwell, D., Kosinski, M., Seligman, M. E. P., & Ungar, L. H. (2016). Predicting individual well-being through the language of social media. Biocomputing 2016, 516–527. https://doi.org/10.1142/9789814749411_0047 Search in Google Scholar

Seabrook, E. M., Kern, M. L., Fulcher, B. D., & Rickard, N. S. (2018). Predicting depression from language-based emotion dynamics: Longitudinal analysis of Facebook and Twitter status updates. Journal of Medical Internet Research, 20(5), e168. https://doi.org/10.2196/jmir.9267 Search in Google Scholar

Stevens, G., O’Donnell, V. L., & Williams, L. (2015). Public domain or private data? Developing an ethical approach to social media research in an interdisciplinary project. Educational Research and Evaluation, 21(2), 154–167. https://doi.org/10.1080/13803611.2015.1024010 Search in Google Scholar

Stone, L. D., & Pennebaker, J. W. (2002). Trauma in real time: Talking and avoiding online conversations about the death of princess Diana. Basic and Applied Social Psychology, 24(3), 173–183. https://doi.org/10.1207/S15324834BASP2403_1 Search in Google Scholar

Tackman, A. M., Sbarra, D. A., Carey, A. L., Donnellan, M. B., Horn, A. B., Holtzman, N. S., Edwards, T. S., Pennebaker, J. W., & Mehl, M. R. (2019). Depression, negative emotionality, and self-referential language: A multi-lab, multi-measure, and multi-language-task research synthesis. Journal of Personality and Social Psychology, 116(5), 817–834. https://doi.org/10.1037/pspp0000187 Search in Google Scholar

Tausczik, Y. R., & Pennebaker, J. W. (2010). The psychological meaning of words: LIWC and computerized text analysis methods. Journal of Language and Social Psychology, 29(1), 24–54. https://doi.org/10.1177/0261927X09351676 Search in Google Scholar

Varghese, C., & Xu, W. (2020). Quantifying what could have been—The impact of the Australian and New Zealand governments’ response to COVID-19. Infection, Disease & Health, 25(4), 242–244. Search in Google Scholar

Wegwarth, O., Wagner, G. G., Spies, C., & Hertwig, R. (2020). Assessment of german public attitudes toward health communications with varying degrees of scientific uncertainty regarding COVID-19. JAMA Network Open, 3(12), e2032335. https://doi.org/10.1001/jamanetworkopen.2020.32335 Search in Google Scholar