Aoki, N. (2020), “The importance of the assurance that ‘humans are still in the decision loop’ for public trust in artificial intelligence: evidence from an online experiment”, Computers in Human Behavior, Vol. 114 No. 12, p. 106572.

Ashmore, R.D., Deaux, K. and McLaughlin-Volpe, T. (2004), “An organizing framework for collective identity: articulation and significance of multidimensionality”, Psychological Bulletin, Vol. 130 No. 1, p. 80.

Bales, R.F. (1970), Personality and Interpersonal Behavior, Holt, Rinehart and Winston, New York.

Balzarotti, S. and Ciceri, M.R. (2014), “News reports of catastrophes and viewers' fear: threat appraisal of positively versus negatively framed events”, Media Psychology, Vol. 17 No. 4, pp. 357-377.

Bardach, E. (1998), Getting Agencies to Work Together: The Practice and Theory of Managerial Craftsmanship, Brookings Institution Press.

Berry, T.R., Wharf-Higgins, J. and Naylor, P.J. (2007), “SARS wars: an examination of the quantity and construction of health information in the news media”, Health Communication, Vol. 21 No. 1, pp. 35-44.

Bunker, D., Stieglitz, S., Ehnis, C. and Sleigh, A. (2019), “Bright ICT: social media analytics for society and crisis management”, Cham: Springer International Publishing, International working conference on transfer and diffusion of IT, Accra, Ghana, pp. 536-552.

Cao, J., Zeng, K., Wang, H., Cheng, J., Qiao, F., Wen, D. and Gao, Y. (2013), “Web-based traffic sentiment analysis: methods and applications”, IEEE Transactions on Intelligent Transportation Systems, Vol. 15 No. 2, pp. 844-853, doi: 10.1109/TITS.2013.2291241.

Choi, G. and Chung, H. (2013), “Applying the technology acceptance model to social networking sites (SNS): impact of subjective norm and social capital on the acceptance of SNS”, International Journal of Human-Computer Interaction, Vol. 29 No. 10, pp. 619-628.

Choi, D.H., Yoo, W., Noh, G.Y. and Park, K. (2017), “The impact of social media on risk perceptions during the MERS outbreak in South Korea”, Computers in Human Behavior, Vol. 72 No. 7, pp. 422-431.

Cruwys, T., Stevens, M. and Greenaway, K.H. (2020), “A social identity perspective on COVID-19: health risk is affected by shared group membership”, British Journal of Social Psychology, Vol. 59 No. 3, pp. 584-593.

Cvijikj, I.P. and Michahelles, F. (2013), “Online engagement factors on Facebook brand pages”, Social Network Analysis and Mining, Vol. 3 No. 4, pp. 843-861.

Deutsch, M. (1949), “A theory of cooperation and competition”, Human Relations, Vol. 2 No. 2, pp. 129-152.

Epley, N. and Kruger, J. (2005), “When what you type isn't what they read: the perseverance of stereotypes and expectancies over e-mail”, Journal of Experimental Social Psychology, Vol. 41 No. 4, pp. 414-422.

Falomir-Pichastor, J.M., Toscani, L. and Despointes, S.H. (2009), “Determinants of flu vaccination among nurses: the effects of group identification and professional responsibility”, Applied Psychology, Vol. 58 No. 1, pp. 42-58.

Ferris, L.J., Radke, H.R.M., Walter, Z.C. and Crimston, C.R. (2019), “Divide and conquer? Identity, threat, and moral justification of violence at the G20”, Australian Journal of Psychology, Vol. 71 No. 3, pp. 312-321.

Fortin, D.R. and Dholakia, R.R. (2005), “Interactivity and vividness effects on social presence and involvement with a web-based advertisement”, Journal of Business Research, Vol. 58 No. 3, pp. 387-396.

Frish, Y. and Greenbaum, D. (2017), “Is social media a cesspool of misinformation? Clearing a path for patient-friendly safe spaces online”, The American Journal of Bioethics, Vol. 17 No. 3, pp. 19-21.

Gao, P., Baras, J.S. and Golbeck, J. (2015), “Semiring-based trust evaluation for information fusion in social network services”, 2015 18th international conference on information fusion (Fusion), IEEE, pp. 590-596.

Godin, S. (2007), Meatball Sundae: Is Your Marketing out of Sync?, Penguin Books, London.

Grabe, M.E., Zhou, S. and Barnett, B. (2001), “Explicating sensationalism in television news: content and the bells and whistles of form”, Journal of Broadcasting and Electronic Media, Vol. 45 No. 4, pp. 635-655.

Greenhow, C. and Galvin, S. (2020), “Teaching with social media: evidence-based strategies for making remote higher education less remote”, Information and Learning Sciences, Vol. 121 Nos 7/8, pp. 513-524.

Guerrero, L.K. and La Valley, A.G. (2006), “Conflict, emotion”, The Sage Handbook of Conflict Communication: Integrating Theory, Research, and Practice, Sage Publications, p. 69.

Hargie, O.D.W. (2003), “Interpersonal communication: a theoretical framework”, in Hargie, O.D.W. (Ed.), The Handbook of Communication Skills, Routledge, New York, NY.

Hou, Z., Du, F., Jiang, H., Zhou, X. and Lin, L. (2020), “Assessment of public attention, risk perception, emotional and behavioural responses to the COVID-19 outbreak: Social media surveillance in China”, Risk Perception, Emotional and Behavioural Responses to the COVID-19 Outbreak: Social Media Surveillance in China (3/6/2020), doi: 10.2139/ssrn.3551338.

Hsu, Y.C., Chen, Y.L., Wei, H.N., Yang, Y.W. and Chen, Y.H. (2017), “Risk and outbreak communication: lessons from Taiwan's experiences in the Post-SARS era”, Health Security, Vol. 15 No. 2, pp. 165-169.

Hu, M. and Liu, B. (2004), “Mining and summarizing customer reviews”, Proceedings of the tenth ACM SIGKDD international conference on knowledge discovery and data mining, pp. 168-177.

Kankanamge, N., Yigitcanlar, T. and Goonetilleke, A. (2020), “How engaging are disaster management related social media channels? The case of Australian state emergency organisations”, International Journal of Disaster Risk Reduction, Vol. 48 No. 7, p. 101571.

Karlova, N.A. and Fisher, K.E. (2012), “Plz RT: a social diffusion model of misinformation and disinformation for understanding human information behaviour”, Proceedings of the ISIC2012, Tokyo, available at: www.hastac.org/sites/default/files/documents/karlova_12_isic_misdismodel.pdf (accessed 12 April 2021).

Kim, M., Xie, L. and Christen, P. (2012), “Event diffusion patterns in social media”, Sixth International AAAI Conference on Weblogs and Social Media.

Kunyk, D. and Olson, J.K. (2001), “Clarification of conceptualizations of empathy”, Journal of Advanced Nursing, Vol. 35 No. 3, pp. 317-325.

Lancet, T. (2020), “COVID-19: fighting panic with information”, Lancet (London, England), Vol. 395 No. 10224, p. 537.

Lewicki, R., Saunders, D.M. and Barry, B. (2006), Negotiation, 5th ed., McGraw-Hill.

Liao, Y.K., Chang, C. and Truong Giang, N.T. (2020), “Investigating B-to-B social media implementation: E-marketing orientation and media richness perspective”, Journal of Electronic Commerce in Organizations, Vol. 18 No. 1, pp. 18-35.

Limaye, R.J., Sauer, M., Ali, J., Bernstein, J., Wahl, B., Barnhill, A. and Labrique, A. (2020), “Building trust while influencing online covid-19 content in the social media world”, Lancet Digital Health, Vol. 2 No. 6, pp. 277-278, doi: 10.1016/S2589-7500(20)30084-4.

McCarthy, J.F. and Boyd, D.M. (2005), “Digital backchannels in shared physical spaces: experiences at an academic conference”, In CHI’05 extended abstracts on Human factors in computing systems, pp. 1641-1644.

McNely, B.J. (2009), “Backchannel persistence and collaborative meaning making”, Proceedings of 27th ACM International Conference on Design of Communication, Bloomington, IN, pp. 297-304, available at: http://portal.acm.org/citation.cfm?id1-41621995.1622053 (accessed 20 January 2021).

Mayshak, R., Sharman, S.J., Zinkiewicz, L. and Hayley, A. (2017), “The influence of empathy and self-presentation on engagement with social networking website posts”, Computers in Human Behavior, Vol. 71 No. 6, pp. 362-377.

Medina, I., Álamos-Concha, P., Castillo Ortiz, P.J. and Rihoux, B. (2017), Análisis Cualitativo Comparado (QCA), Vol. 56, CIS-Centro de Investigaciones Sociológicas.

Mirbabaie, M., Bunker, D., Stieglitz, S., Marx, J. and Ehnis, C. (2020), “Social media in times of crisis: learning from hurricane Harvey for the coronavirus disease 2019 pandemic response”, Journal of Information Technology, Vol. 35 No. 3, pp. 195-213.

Muralidharan, S., Rasmussen, L., Patterson, D. and Shin, J.H. (2011), “Hope for Haiti: an analysis of Facebook and Twitter usage during the earthquake relief efforts”, Public Relations Review, Vol. 37 No. 2, pp. 175-177.

Pauner Chulvi, C. (2018), “Fake news and freedom of expression and information: the control of information contents on the network”, Teoria y Realidad Constitucional, Vol. 41, pp. 297-318, doi: 10.5944/trc.41.2018.22123.

Peña, J. and Hancock, J.T. (2006), “An analysis of socioemotional and task communication in online multiplayer video games”, Communication Research, Vol. 33 No. 1, pp. 92-109.

Pérez-Dasilva, J.Á., Meso-Ayerdi, K. and Mendiguren-Galdospín, T. (2020), “Fake news y coronavirus: detección de los principales actores y tendencias a través del análisis de las conversaciones en Twitter”, El Profesional de la Información, Vol. 29 No. 3.

Ragin, C.C. (2006), “Set relations in social research: evaluating their consistency and coverage”, Political Analysis, Vol. 14 No. 3, pp. 291-310.

Ragin, C.C. (2014), The Comparative Method: Moving beyond Qualitative and Quantitative Strategies, University of CA Press.

Rihoux, B. and Ragin, C.C. (2009), Configurational Comparative Methods: Qualitative Comparative Analysis (QCA) and Related Techniques, Sage, Thousand Oaks, CA.

Sabate, F., Berbegal-Mirabent, J., Cañabate, A. and Lebherz, P.R. (2014), “Factors influencing popularity of branded content in Facebook fan pages”, European Management Journal, Vol. 32 No. 6, pp. 1001-1011.

Sacchi, D.L., Agnoli, F. and Loftus, E.F. (2007), “Changing history: doctored photographs affect memory for past public events”, Applied Cognitive Psychology, Vol. 21 No. 8, pp. 1005-1022.

Schneider, C.Q. and Wagemann, C. (2012), Set-Theoretic Methods for the Social Sciences: A Guide to Qualitative Comparative Analysis, Cambridge University Press.

Sell, T.K., Boddie, C., McGinty, E.E., Pollack, K., Smith, K.C., Burke, T.A. and Rutkow, L. (2017), “Media messages and perception of risk for Ebola virus infection, United States”, Emerging Infectious Diseases, Vol. 23 No. 1, p. 108.

Shahbaznezhad, H., Dolan, R. and Rashidirad, M. (2021), “The role of social media content format and platform in users’ engagement behavior”, Journal of Interactive Marketing, Vol. 53 No. 1, pp. 47-65.

Shao, C., Hui, P.M., Wang, L., Jiang, X., Flammini, A., Menczer, F. and Ciampaglia, G.L. (2018), “Anatomy of an online misinformation network”, PloS One, Vol. 13 No. 4, p. e0196087.

Shim, M. and You, M. (2015), “Cognitive and affective risk perceptions toward food safety outbreaks: mediating the relation between news use and food consumption intention”, Asian Journal of Communication, Vol. 25 No. 1, pp. 48-64.

Shu, K., Sliva, A., Wang, S., Tang, J. and Liu, H. (2017), “Fake news detection on social media: a data mining perspective”, ACM SIGKDD Explorations Newsletter, Vol. 19 No. 1, pp. 22-36.

Simon, B. (1997), “Self and group in modern society: ten theses on the individual self and the collective self”, in Spears, R., Oakes, P.J., Ellemers, N. and Haslam, S.A. (Eds), The Social Psychology of Stereotyping and Group Life, Blackwell, Oxford, pp. 318-335.

Song, J., Song, T.M., Seo, D.C., Jin, D.L. and Kim, J.S. (2017), “Social big data analysis of information spread and perceived infection risk during the 2015 Middle East respiratory syndrome outbreak in South Korea”, Cyberpsychology, Behavior, and Social Networking, Vol. 20 No. 1, pp. 22-29.

Steuer, J. (1992), “Defining virtual reality: dimensions of determining telepresence”, Journal of Communication, Vol. 42 No. 4, pp. 73-93.

Stevens, M., Rees, T. and Polman, R. (2019), “Social identification, exercise participation, and positive exercise experiences: evidence from Parkrun”, Journal of Sports Sciences, Vol. 37 No. 2, pp. 221-228.

Sutton, J.N., Palen, L. and Shklovski, I. (2008), “Backchannels on the front lines: emergency uses of social media in the 2007 Southern CA wildfires”, Proceedings of the 5th International ISCRAM Conference, pp. 1178-1204.

Talip, B. and Narayan, B. (2020), “Co-experience on Twitter: a study of information technology professionals”, Information Research.

Talwar, S., Dhir, A., Kaur, P., Zafar, N. and Alrasheedy, M. (2019), “Why do people share fake news? Associations between the dark side of social media use and fake news sharing behavior”, Journal of Retailing and Consumer Services, Vol. 51 No. 6, pp. 72-82.

Tang, L., Bie, B., Park, S.E. and Zhi, D. (2018), “Social media and outbreaks of emerging infectious diseases: a systematic review of literature”, American Journal of Infection Control, Vol. 46 No. 9, pp. 962-972.

Trevino, L.K., Lengel, R.H. and Daft, R.L. (1987), “Media symbolism, media richness, and media choice in organizations: a symbolic interactionist perspective”, Communication Research, Vol. 14 No. 5, pp. 553-574.

Tsadikovich, D., Kamble, A. and Elalouf, A. (2020), “Controlled information spread for population preparedness in disaster operations management”, International Journal of Disaster Risk Reduction, Vol. 42 No. 1, p. 101338.

Tseng, F.C., Cheng, T.C.E., Li, K. and Teng, C.I. (2017), “How does media richness contribute to customer loyalty to mobile instant messaging?”, Internet Research, Vol. 27 No. 3, pp. 520-537.

Tuccori, M., Convertino, I., Ferraro, S., Cappello, E., Valdiserra, G., Focosi, D. and Blandizzi, C. (2020), “The impact of the covid-19 ‘infodemic’ on drug-utilization behaviors: implications for pharmacovigilance”, Drug Safety, Vol. 43 No. 8, pp. 699-709.

Van Veenen, J. (2010), “Dealing with miscommunication, distrust, and emotions in online dispute resolution”, Working Paper Series on Access to Justice, Dispute Resolution and Conflict System Design, No. 004/2010, Tilburg Law School, Tillburg, 7 July, doi:10.2139/ssrn.1626212.

Vongkusolkit, J. and Huang, Q. (2020), “Situational awareness extraction: a comprehensive review of social media data classification during natural hazards”, Annals of GIS, Vol. 27 No. 1, pp. 1-24.

Wolkin, A.F., Schnall, A.H., Nakata, N.K. and Ellis, E.M. (2019), “Getting the message out: social media and word-of-mouth as effective communication methods during emergencies”, Prehospital and Disaster Medicine, Vol. 34 No. 1, pp. 89-94.

Alvarez, M.D., Inelmen, K. and Yarcan, Ş. (2009), “Do perceptions change? A comparative study”, Anatolia, Vol. 20 No. 2, pp. 401-418.

Singh, L. (2020), “A systematic review of higher education academics’ use of microblogging for professional development: case of Twitter”, Open Education Studies, Vol. 2 No. 1, pp. 66-81.