#Covid-19: A hashtag for examining reactions towards Europe in times of crisis. An analysis of tweets in Italian, Spanish, and French

Gevisa La Rocca; Francesca Greco

doi:10.22325/fes/res.2022.128

Autores/as

Gevisa La Rocca Faculty of Human and Social Sciences, Kore University of Enna
Francesca Greco Department of Education, University of Roma Tre

DOI:

https://doi.org/10.22325/fes/res.2022.128

Palabras clave:

COVID-19, debate público, hashtag, extracción y análisis del contenido emocional, Twitter

Resumen

La investigación de los hashtags se ha consolidado como un campo de investigación relevante con diversos estudios analizando crisis y eventos mediáticos. Los hashtags se utilizan en las redes sociales, más específicamente en Twitter. Entre 2020 y 2021 han surgido estudios de hashtags vinculados a la pandemia de COVID-19. El presente artículo se propone analizar el contenido de los tweets que incluían el hashtag #Covid-19 durante la primera fase de la pandemia de COVID-19 (del 4 al 11 de marzo de 2020) en tres idiomas diferentes: italiano, español y francés. Para estos análisis, se empleó la minería de texto emocional. El objetivo de este estudio fue reconstruir la representación de la pandemia, de las medidas de contención y de Europa en los tweets. De esta manera, se discute la actitud predominante hacia Europa en tiempos de crisis.

Citas

Addawood, A., Alsuwailem, A., Alohali, A., Alajaji ,D., Alturki, A., Alsuhaibani, J., & Aljabli, F. (2021). Tracking and understanding public reaction during COVID-19: Saudi Arabia as a use case. Proceedings of the 1st Workshop on NLP for COVID-19 (Part 2) at EMNLP 2020. https://doi.org/10.18653/v1/2020.nlpcovid19-2.24

Alhajji, M., Al Khalifah, A., Aljubran, M., & Alkhalifah, M. (2020). Sentiment Analysis of Tweets in Saudi Arabia Regarding Governmental Preventive Measures to Contain COVID-19. Preprints 2020. https://doi.org/10.20944/preprints202004.0031.v1

Bain, J., & Chaban, N. (2016). An emerging EU strategic narrative? Twitter communication during the EU’s sustainable energy week. Comparative European Politics, 1-21.

Bentivegna, S., & Marchetti, R. (2015). Live tweeting a political debate: The case of the ‘Italia bene comune’. European Journal of Communication, 30(6), 631-647. https://doi.org/10.1177/0267323115595526

Bhat, M., Qadri, M., Noor-ul-Asrar Beg, M.K., Ahanger, N., & Agarwal, B. (2020). Sentiment analysis of social media response on the covid19 outbreak. Brain, Behavior, and Immunity, 87, 136-137. https://doi.org/10.1016/j.bbi.2020.05.006

Bonilla, Y., & Rosa, J. (2015). #Ferguson: Digital protest, hashtag ethnography, and the racial politics of social media in the United States. American Ethnologist, 42(1), 4-17. https://doi.org/10.1111/amet.12112

Boccia Artieri, G., Greco, F., & La Rocca, G. (2021a). The construction of the meanings of #coronavirus on Twitter. An analysis of the initial reactions of the Italian people. International Review of Sociology, 31(2), 286-309. https://doi.org/10.1080/03906701.2021.1947950

Boccia Artieri, G., Greco, F., & La Rocca, G. (2021b). Lockdown and Breakdown in Italians’ Reactions on Twitter during the First Phase of Covid-19. PArtecipazione e COnflitto, 14(1), 1-22. https://doi.org/10.1285/i20356609v14i1p261

Bruns, A. (2005). Gatewatching: Collaborative Online News Production. New York: Peter Lang.

Burgess, J., & Baym, N. K. (2020). Twitter: A Biography. New York: NYU Press.

Bruns, A., & Burgess, J. (2012). Local and global responses to disaster: #eqnz and the Christchurch Earthquake. In Proceedings of Earth: Fire and Rain—Australia and New Zealand Disaster and Emergency Management Conference (pp. 86–103). Brisbane, Australia: AST Management Pty Ltd.

Bruns, A., & Burgess, J. (2014). Crisis Communication in Natural Disasters. The Queensland Floods and Christchurch Earthquakes. In K. Weller, A. Bruns, J. Burgess, M. Mahrt, & C. Puschmann (Eds.), Twitter and society (pp. 373-384). New York: Peter Lang.

Bruns, A., & Burgess, J. (2015). Twitter hashtags from ad hoc to calculated publics. In N. Rambukkana (Ed.), Hashtag Publics: The Power and Politics of Discursive Networks (pp. 13-28). New York: Peter Lang.

Bruns, A., Burgess, J., Crawford, K., & Shaw, F. (2012). #qldfloods and @QPSMedia: Crisis communication on Twitter in the 2011 south east Queensland floods (Research Report). Brisbane, Australia: ARC Centre of Excellence for Creative Industries and Innovation, Queensland University of Technology. https://www.oecd.org/governance/risk/Crisis%20Communication%20on%20Twitter%20in%20the%202011%20South%20East%20Queensland%20Floods.pdf

Bruns, A., & Liang, E. (2012). Tools and methods for capturing Twitter data during natural disasters. First Monday, 17(4), 1-8. https://doi.org/10.5210/fm.v17i4.3937

Bruns, A., Moon, B., Paul, A., & Münch, F. (2016). Towards a Typology of Hashtag Publics: A Large-Scale Comparative Study of User Engagement across Trending Topics. Communication Research and Practice, 2(1), 20-46. https://doi.org/10.1080/22041451.2016.1155328

Bruns, A., & Stieglitz, S. (2012). Quantitative approaches to comparing communication patterns on Twitter. Journal of Technology in Human Services, 30(3-4), 160-185. https://doi.org/10.1080/15228835.2012.744249

Bruns, A., & Stieglitz, S. (2013). Towards more systematic Twitter analysis: metrics for tweeting activities. International Journal of Social Research Methodology, 16(2), 91-108. https://doi.org/10.1080/13645579.2012.756095

Chang, H. C. (2010). A New Perspective on Twitter Hashtag Use: Diffusion of Innovation Theory. ASIST, 38(2), 49-57. https://doi.org/10.1002/meet.14504701295

Daniel, W. T., & Obholzer, L. (2020). Reaching out to the voter? Campaigning on Twitter during the 2019 European elections. Research and Politics, 1-8. https://doi.org/10.1177/2053168020917256

d’Argenio, A. (2020, March 6). Coronavirus, Ue divisa sulle mascherine. Niente aiuti all’Italia. Speranza: “Serve più solidarietà”. La Repubblica. https://www.repubblica.it/politica/2020/03/06/news/coronavirus_ue_divisa_sulle_mascherine_niente_aiuti_all_italia_speranza_serve_piu_solidarieta_-250487344/

de Vreese, C. H., Peter, J., & Semetko, H. A. (2001). Framing politics at the launch of the Euro: A cross-national comparative study of frames in the news. Political Communication, 18(2), 107-122. https://doi.org/10.1080/105846001750322934

De Cock, B., & Pizarro Pedraza, A. (2018). From expressing solidarity to mocking on Twitter: Pragmatic functions of hashtags starting with #jesuis across languages. Language in Society, 47(2), 197-217. https://doi.org/10.1017/S0047404518000052

Dobrin, D. (2020). The Hashtag in Digital Activism: A Cultural Revolution. Journal of Cultural Analysis and Social Change, 5(1), 1-14. https://doi.org/10.20897/jcasc/8298

Faltesek, D. (2015). #Time. In N. Rambukkana (Ed.), Hashtag Publics: The Power and Politics of Discursive Networks (pp. 77-86). New York: Peter Lang.

Fornari, F. (1979). Fondamenti di una teoria psicoanalitica del linguaggio. Turin: Bollati Boringhieri.

Gandomi, A., & Haider, M. (2015). Beyond the hype: big data concepts, methods, and analytics. International Journal of Information Management, 35(2), 137-144. https://doi.org/10.1016/j.ijinfomgt.2014.10.007

Ginori, A. (2020, April 28). Chancel, “Italia e Francia devono fare gli eurobond senza la Germania”. La Repubblica. https://www.repubblica.it/economia/2020/04/28/news/chancel_italia_e_francia_devono_fare_gli_eurobond_senza_la_germania_-255074015/

Giuliano, L., & La Rocca, G. (2010). Analisi automatica e semi-automatica dei dati testuali: Strategie di ricerca e applicazioni (vol. II). Milan: Led.

Gobo, G., Fielding N., La Rocca, G., & van der Vaart, W. (2021). Merged Methods. A Rationale for Full Integration. London: Sage.

Grčar, M., Cherepnalkoski, D., Mozetič, I., & Novak, P. K. (2017). Stance and influence of Twitter users regarding the Brexit referendum. Computational Social Network, 4(6), 1-25. https://doi.org/10.1186/s40649-017-0042-6

Greco, F. (2016a). Integrare la disabilità. Una metodologia interdisciplinare per leggere il cambiamento culturale. Milan: Franco Angeli.

Greco, F. (2016b). Les Lois et le changement culturel: Le handicap en Italie et en France. Rome: Sapienza Università Editrice.

Greco, F., & Polli, A. (2020). Emotional Text Mining: Customer profiling in brand management. International Journal of Information Management, 51, 101934. https://doi.org/10.1016/j.ijinfomgt.2019.04.007

Greco, F., & Polli, A. (2021). Security Perception and People Well-Being. Social Indicator Research, 153(2), 741-758. https://doi.org/10.1007/s11205-020-02341-8

Hänska, M., & Bauchowitz, S. (2019). Can social media facilitate a European public sphere? Transnational communication and the Europeanization of Twitter during the Eurozone crisis. Social Media + Society, 1-14. https://doi.org/10.1177/2056305119854686

Highfield, T., Harrington, S., & Bruns, A. (2013). Twitter as a Technology for Audiencing and Fandom: The #Eurovision Phenomenon. Information, Communication and Society, 16(3), 315-339. https://doi.org/10.1080/1369118X.2012.756053

Kabir, Y., & Madria, S. (2020). CoronaVis: A Real-time COVID-19 Tweets Data Analyzer and Data Repository. arXiv:2004.13932v2 [cs.SI].

Kamaran, H. M., Ramadhan, R. N., & Pshko, R. M. A. (2020). Twitter sentiment analysis on worldwide covid-19 outbreaks. Kurdistan Journal of Applied Research, 54-65. https://doi.org/10.24017/covid.8

Kausar, M. A., Soosaimanickam, A., & Nasar, M. (2021). Public Sentiment Analysis on Twitter Data during COVID-19 Outbreak. International Journal of Advanced Computer Science and Applications, 12(2), 415-422. https://doi.org/10.14569/IJACSA.2021.0120252

Kearney, M.W. (2020). rtweet: Collecting and analyzing Twitter data. Journal of Open Source Software, 4(42), 1829. https://doi.org/10.21105/joss.01829

Koopmans, R., & Erbe, J. (2004), Towards a European public sphere? Vertical and horizontal dimensions of Europeanized political communication. Innovation: The European Journal of Social Research, 17(2), 97-118. https://doi.org/10.1080/1351161042000238643

Koopmans, R., & Pfetsch, B. (2003). Towards a Europeanised public sphere? Comparing political actors and the media in Germany. ARENA, Working Paper 23/03, 1-33. https://doi.org/10.1.1.132.3435

Koopmans, R., & Statham, P. (2010). The making of a European public sphere: Media discourse and political contention. Cambridge, MA: Cambridge University Press.

Kurten, S., & Beullens, K. (2021). #Coronavirus: Monitoring the Belgian Twitter Discourse on the Severe Acute Respiratory Syndrome Coronavirus 2 Pandemic. Cyberpsychology, Behavior, And Social Networking, 24(2), 117-123. https://doi.org/10.1089/cyber.2020.0341

Lancia, F. (2021). T-Lab Plus 2021 – User’s Manual. https://www.tlab.it/download/

La Rocca, G. (2020). La fuerza de un signo. Perspectivas teóricas para el análisis de los hashtags #. BARATARIA Revista Castellano-Manchega de Ciencias Sociales, (27), 46-61. https://doi.org/10.20932/barataria.v0i27.559

La Rocca, G., Greco, F., & Boccia Artieri, G. (2021, July 5-9). Emotional Text Mining (ETM): a Merged Method for Looking into Hashtags [Paper presentation]. 20th Annual Thinking Qualitatively Conference, Virtual Conference.

Lebart, L., & Salem, A. (1994). Statistique Textuelle. Paris: Dunod.

Lynn, T., Rosati, P., & Nair, B. (2020). Calculated vs. Ad Hoc Publics in the #Brexit. Discourse on Twitter and the Role of Business Actors. Information, 11(435), 1-20. https://doi.org/10.3390/info11090435

Magnani, A. (2021, March 4). Next Generation EU, cos’è e come funziona. Il Sole 24 Ore. https://www.ilsole24ore.com/art/next-generation-eu-cos-e-e-perche-l-europa-deve-correre-fondi-la-ripresa-covid-ADlKpzMB?refresh_ce=1

Manguri, K. H., Ramadhan, R. N., & Amin, P. R. M. (2020). Twitter sentiment analysis on worldwide COVID-19 outbreaks. Kurdistan Journal of Applied Research, 54-65. https://doi.org/10.24017/covid.8

Marchal, N., Neudert, L. M., Kollanyi, B., & Howard, P. N. (2021). Investigating Visual Content Shared over Twitter during the 2019 EU Parliamentary Election Campaign. Media and Communication, 9(1), 158-170. https://doi.org/10.17645/mac.v9i1.3421

Marcos, J. (2020, March 28). Paralizada toda actividad no esencial en España. El País. https://elpais.com/espana/2020-03-28/el-gobierno-amplia-el-confinamiento-los-trabajadores-de-actividades-no-esenciales-deberan-quedarse-en-casa.html

Mastrobuoni, T. (2020, May 18). Intesa Francia-Germania sugli aiuti Ue: “Recovery fund da 500 miliardi”. La Repubblica. https://www.repubblica.it/economia/2020/05/18/news/germania_francia_ue_miliardi-257018618/

Rambukkana, N. (Ed.) (2015a). Hashtag Publics. The Power and Politics of Discursive Networks. New York: Peter Lang.

Rambukkana, N. (2015b). #Introduction: Hashtags as Technosocial Events. In N. Rambukkana (Ed.), Hashtag Publics: The Power and Politics of Discursive Networks (pp. 1-10). New York: Peter Lang.

Reavley, N. J., & Pilkington, P. D. (2014). Use of Twitter to monitor attitudes toward depression and schizophrenia: an exploratory study. PeerJ 2, e647. https://doi.org/10.7717/peerj.647

Ross, A. S. (2019). Discursive delegitimisation in metaphorical #secondcivilwarletters: an analysis of a collective Twitter hashtag response. Critical Discourse Studies, 17(5), 1-17. https://doi.org/10.1080/17405904.2019.1661861

Ruiz-Soler, J., Curini, L., & Ceron, A. (2019). Commenting on Political Topics Through Twitter: Is European Politics European? Social Media + Society, 1-13. https://doi.org/10.1177/2056305119890882

Savaresi, S. M., & Boley, D.L. (2004). A comparative analysis on the bisecting K-means and the PDDP clustering algorithms. Intelligent Data Analysis, 8(4), 345-362. https://doi.org/10.3233/ida-2004-8403

Schuman, R. (1950). Dichiarazione Schuman maggio 1950. Unione Europea. https://european-union.europa.eu/principles-countries-history/history-eu/1945-59/schuman-declaration-may-1950_it

Sebeelo, T. B. (2021). Hashtag Activism, Politics and Resistance in Africa: Examining #ThisFlag and #RhodesMustFall online movement. Insight on Africa, 13(1), 95-109. https://doi.org/10.1177/0975087820971514

Sharma, S. (2012). Black Twitter? Racial Hashtags, Networks and Contagion. New Formations, 78, 46-64. https://doi.org/10.3898/NewF.78.02.2013

Steinbach, M., Karypis, G., & Kumar, V. (2000). A comparison of document clustering techniques. In 400th KDD workshop on text mining. http://citeseer.ist.psu.edu/viewdoc/summary?doi=10.1.1.125.9225

Tavoschi, L., Quattrone, F., D’Andrea, E., Ducange, P., Vabanesi, M., Marcelloni, F., & Lopalco, P.L. (2020). Twitter as a sentinel tool to monitor public opinion on vaccination: an opinion mining analysis from September 2016 to August 2017 in Italy. Human Vaccines & Immunotherapeutics, 16(5), 1062-1069. https://doi.org/10.1080/21645515.2020.1714311

Vigotskij, L. S. (1934). Lo sviluppo psichico del bambino. Rome: Editori Riuniti, 2010.

von der Leyen, U. (2020, April 1). Ursula von der Leyen: “Scusateci, ora la Ue è con voi”. La Repubblica. https://rep.repubblica.it/pwa/commento/2020/04/01/news/europa_ursula_von_der_leyen_bruxelles_scusateci_ora_la_ue_e_con_voi-252912437/

Weller, K., Bruns, A., Burgess, J., Mahrt, M., & Puschmann, C. (Eds.) (2014). Twitter and society. New York: Peter Lang.