From the Syrian to Ukrainian refugee crisis: Tracing the changes in the Italian Twitter discussions through network analysis

References

Adinolfi, S., & Caracciolo, M. (2023). Narrative, scale, and two refugee crises in comparison in the Italian media. DIEGESIS (WUPPERTAL), 12(2), 18–33. https://doi.org/10.25926/wrn0-8n40Search in Google Scholar

Åkerlund, M. (2022). Far right, right here: Interconnections of discourse, platforms, and users in the digital mainstream [PhD dissertation]. Umeå University. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-191942Search in Google Scholar

Alonso-Muñoz, L., & Casero-Ripollés, A. (2020). Populism against Europe in social media: The Eurosceptic discourse on Twitter in Spain, Italy, France, and United Kingdom during the campaign of the 2019 European Parliament election. Frontiers in Communication, 5, 54. https://doi.org/10.3389/fcomm.2020.0005410.3389/fcomm.2020.00054Search in Google Scholar

Amati, G., Angelini, S., Capri, F., Gambosi, G., Rossi, G., & Vocca, P. (2016). Twitter temporal evolution analysis: Comparing event and topic driven retweet graphs. https://www.iadisportal.org/digital-library/twitter-temporal-evolution-analysis-comparing-event-and-topic-driven-retweet-graphsSearch in Google Scholar

Avraamidou, M., & Eftychiou, E. (2022). Migrant racialization on Twitter during a border and a pandemic crisis. International Communication Gazette, 84(3), 227–251. https://doi.org/10.1177/1748048521105430110.1177/17480485211054301Search in Google Scholar

Bahtic-Kunrath, B., & Gebauer, C. (2023). From narratives of crisis to narratives of solidarity. University of Wuppertal.Search in Google Scholar

Bail, C. (2014). Terrified: How Anti-Muslim fringe organizations became mainstream. Princeton University Press. https://doi.org/10.1515/978140085262810.23943/princeton/9780691159423.001.0001Search in Google Scholar

Bastian, M., Heymann, S., & Jacomy, M. (2009). Gephi: An open source software for exploring and manipulating networks. Association for the Advancement of Artificial Intelligence.10.1609/icwsm.v3i1.13937Search in Google Scholar

Bennett, W. L., & Pfetsch, B. (2018). Rethinking political communication in a time of disrupted public spheres. Journal of Communication, 68(2), 243–253. https://doi.org/10.1093/joc/jqx01710.1093/joc/jqx017Search in Google Scholar

Berti, C., & Loner, E. (2023). Character assassination as a right-wing populist communication tactic on social media: The case of Matteo Salvini in Italy. New Media & Society, 25(11), 2939–2960. https://doi.org/10.1177/1461444821103922210.1177/14614448211039222Search in Google Scholar

Blondel, V. D., Guillaume, J.-L., Lambiotte, R., & Lefebvre, E. (2008). Fast unfolding of communities in large networks. Journal of Statistical Mechanics: Theory and Experiment, 2008(10). http://arxiv.org/abs/0803.047610.1088/1742-5468/2008/10/P10008Search in Google Scholar

Blumenthal, S. (1980). The permanent campaign: Inside the world of elite political operatives (1^st ed.). Beacon Press.Search in Google Scholar

Bodrunova, S. S., Litvinenko, A. A., & Blekanov, I. S. (2017). Comparing influencers: Activity vs. connectivity measures in defining key actors in Twitter ad hoc discussions on migrants in Germany and Russia. In G. L. Ciampaglia, A. Mashhadi, & T. Yasseri (Eds.), Social informatics (pp. 360–376). Springer International Publishing. https://doi.org/10.1007/978-3-319-67217-5_2210.1007/978-3-319-67217-5_22Search in Google Scholar

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.1211210.1111/amet.12112Search in Google Scholar

Bordignon, F., Diamanti, I., & Turato, F. (2022). Rally ’round the Ukrainian flag. The Russian attack and the (temporary?) suspension of geopolitical polarization in Italy. Contemporary Italian Politics, 14(3), 370–386. https://doi.org/10.1080/23248823.2022.206017110.1080/23248823.2022.2060171Search in Google Scholar

Bruns, A. (2019). After the ‘APIcalypse’: Social media platforms and their fight against critical scholarly research. Information, Communication & Society, 22(11), 1544–1566. https://doi.org/10.1080/1369118X.2019.163744710.1080/1369118X.2019.1637447Search in Google Scholar

Bulli, G., & Soare, S. C. (2018). Immigration and the refugee crisis in a new immigration country: The case of Italy. Croatian and Comparative Public Administration, 18(1), 127–156.Search in Google Scholar

Ceccorulli, M. (2023). From Ukraine to the Mediterranean: Italy and the governance of migration. Contemporary Italian Politics, 15(2), 269–282. https://doi.org/10.1080/23248823.2023.219768910.1080/23248823.2023.2197689Search in Google Scholar

Choi, J.-A., Benton, B., Yi Luo, & Green, K. (2022, October 31). Study finds hate speech increases on Twitter after Elon Musk acquisition. Montclair State University School of Communications and Media. https://www.montclair.edu/school-of-communication-and-media/study-finds-hate-speech-increases-on-twitter-after-elon-musk-acquisition/Search in Google Scholar

Conover, M. D., Gonçalves, B., Flammini, A., & Menczer, F. (2012). Partisan asymmetries in online political activity. EPJ Data Science, 1(1), 6. https://doi.org/10.1140/epjds610.1140/epjds6Search in Google Scholar

d’Haenens, L., Joris, W., & Heinderyckx, F. (2019). Images of immigrants and refugees in Western Europe: Media representations, public opinion and refugees’ experiences. Leuven University Press.10.11116/9789461662811Search in Google Scholar

Davidson, T. (2024). Audience engagement and the dynamics of online activism: Far-right mobilization on Facebook. Mobilization: An International Quarterly, 28(4), 445–470. https://doi.org/10.17813/1086-671X-22-4-44510.17813/1086-671X-22-4-445Search in Google Scholar

De Coninck, D. (2023). The refugee paradox during wartime in Europe: How Ukrainian and Afghan refugees are (not) alike. International Migration Review, 57(2), 578–586. https://doi.org/10.1177/0197918322111687410.1177/01979183221116874Search in Google Scholar

Dehghan, E. (2020). Networked discursive alliances: Antagonism, agonism, and the dynamics of discursive struggles in the Australian Twittersphere [PhD dissertation]. Queensland University of Technology. https://doi.org/10.5204/thesis.eprints.17460410.5204/thesis.eprints.174604Search in Google Scholar

Ekman, M. (2019). Anti-immigration and racist discourse in social media. European Journal of Communication, 34(6), 606–618. https://doi.org/10.1177/026732311988615110.1177/0267323119886151Search in Google Scholar

Elmer, G., Langlois, G., & McKelvey, F. (2012). The permanent campaign: New media, new politics (New edition). Peter Lang Inc.Search in Google Scholar

Esau, K., Choucair, T., Vilkins, S., Svegaard, S., Bruns, A., & Lubicz, C. (2023, May, 25–29). Destructive political polarization in the context of digital communication – A critical literature review and conceptual framework [Conference presentation]. 73^rd Annual ICA Conference, Toronto, Canada. https://eprints.qut.edu.au/238775/Search in Google Scholar

Esposito, A. (2022). The limitations of humanity: Differential refugee treatment in the EU. Harvard International Review. https://hir.harvard.edu/the-limitations-of-humanity-differential-refugee-treatment-in-the-eu/Search in Google Scholar

European Parliament. (2023). The concept of “climate refugee” Towards a possible definition. https://www.europarl.europa.eu/RegData/etudes/BRIE/2021/698753/EPRS_BRI(2021)698753_EN.pdfSearch in Google Scholar

Falkenberg, M., Galeazzi, A., Torricelli, M., Di Marco, N., Larosa, F., Sas, M., Mekacher, A., Pearce, W., Zollo, F., Quattrociocchi, W., & Baronchelli, A. (2022). Growing polarisation around climate change on social media (arXiv:2112.12137). arXiv. http://arxiv.org/abs/2112.1213710.1038/s41558-022-01527-xSearch in Google Scholar

Freelon, D. (2020). Partition-specific network analysis of digital trace data: Research questions and tools. In B. Foucault Welles, & S. González-Bailón (Eds.), The Oxford Handbook of Networked Communication (pp. 89–110). Oxford University Press.10.1093/oxfordhb/9780190460518.013.3Search in Google Scholar

Freelon, D., McIlwain, C. D., & Clark, M. D. (2016). Beyond the hashtags: #Ferguson, #Blacklivesmatter, and the online struggle for offline justice. Center for Media & Social Impact. https://papers.ssrn.com/sol3/papers.cfm?abstract_id=274706610.2139/ssrn.2747066Search in Google Scholar

Gerbaudo, P. (2016a). Constructing public space| rousing the Facebook crowd: Digital enthusiasm and emotional contagion in the 2011 protests in Egypt and Spain. International Journal of Communication, 10, 254–273. http://ijoc.org/index.php/ijoc/article/view/3963Search in Google Scholar

Gerbaudo, P. (2016b). From data analytics to data hermeneutics. Online Political discussions, digital methods and the continuing relevance of interpretive approaches. Digital Culture & Society, 2(2), 95–112. https://doi.org/10.14361/dcs-2016-020710.14361/dcs-2016-0207Search in Google Scholar

González-Bailón, S., D’Andrea, V., Freelon, D., & De Domenico, M. (2022). The advantage of the right in social media news sharing. PNAS Nexus, 1. https://doi.org/10.1093/pnasnexus/pgac13710.1093/pnasnexus/pgac137Search in Google Scholar

Gruzd, A., & Mai, P. (2020). Going viral: How a single tweet spawned a COVID-19 conspiracy theory on Twitter. Big Data & Society, 7(2), 2053951720938405. https://doi.org/10.1177/205395172093840510.1177/2053951720938405Search in Google Scholar

Hairol Anuar, S. H., Abas, Z. A., Yunos, N. M., Mohd Zaki, N. H., Hashim, N. A., Mokhtar, M. F., Asmai, S. A., Abidin, Z. Z., & Nizam, A. F. (2021). Comparison between Louvain and Leiden algorithm for network structure: A review. Journal of Physics: Conference Series, 2129(1), 012028. https://doi.org/10.1088/1742-6596/2129/1/01202810.1088/1742-6596/2129/1/012028Search in Google Scholar

Howard, R. G. (2022). Manufacturing populism: Digitally amplified vernacular authority. Media and Communication, 10(4), 236–247. https://doi.org/10.17645/mac.v10i4.585710.17645/mac.v10i4.5857Search in Google Scholar

Jacomy, M., Venturini, T., Heymann, S., & Bastian, M. (2014). ForceAtlas2, a continuous graph layout algorithm for handy network visualization designed for the Gephi software. PLoS ONE, 9(6), e98679. https://doi.org/10.1371/journal.pone.009867910.1371/journal.pone.0098679Search in Google Scholar

Jungherr, A., Schoen, H., Posegga, O., & Jürgens, P. (2017). Digital trace data in the study of public opinion: An indicator of attention toward politics rather than political support. Social Science Computer Review, 35(3), 336–356. https://doi.org/10.1177/089443931663104310.1177/0894439316631043Search in Google Scholar

Kiyak, S., Coninck, D. D., Mertens, S., & d’Haenens, L. (2023). Exploring the German-Language Twittersphere: Network analysis of discussions on the Syrian and Ukrainian refugee crises. In B. Berendt, M. Krzywdzinski, & E. Kuznetsova (Eds.), Proceedings of the Weizenbaum Conference 2023: AI, Big Data, Social Media, and People on the Move (pp. 46–58). Weizenbaum Institute for the Networked Society – The German Internet Institute. https://doi.org/10.34669/wi.cp/5.5Search in Google Scholar

Krzyżanowski, M. (2020). Discursive shifts and the normalization of racism: Imaginaries of immigration, moral panics and the discourse of contemporary right-wing populism. Social Semiotics, 30(4), 503–527. https://doi.org/10.1080/10350330.2020.176619910.1080/10350330.2020.1766199Search in Google Scholar

Laitin, D. D. (2022, 24 March). Ukrainian refugees face a more accommodating Europe, says Stanford scholar. Stanford News. https://news.stanford.edu/2022/03/24/ukrainian-refugees-face-accommodating-europe-says-stanford-scholar/Search in Google Scholar

Lami, G., & Sahota, S. K. (2022). The Russian invasion of Ukraine: Some readings from Italian newspapers (20 February–5 March 2022). Modern Italy, 27(3), 199–206. https://doi.org/10.1017/mit.2022.2110.1017/mit.2022.21Search in Google Scholar

Lee, J.-S., & Nerghes, A. (2018). Refugee or migrant crisis? Labels, perceived agency, and sentiment polarity in online discussions. Social Media + Society, 4(3), 2056305118785638. https://doi.org/10.1177/205630511878563810.1177/2056305118785638Search in Google Scholar

Loner, E. (2023). Enemies and friends. The instrumental social construction of populist identity through twitter in Italy at the time of COVID-19. European Journal of Cultural and Political Sociology, 10(2), 279–308. https://doi.org/10.1080/23254823.2022.212542110.1080/23254823.2022.2125421Search in Google Scholar

Lucchesi, D., & Romania, V. (2024). ‘Italians locked at home, illegal migrants free to disembark’: How populist parties re-contextualized the anti-immigration discourse at the time of COVID-19 pandemic. Discourse & Society, 35(1), 83–115. https://doi.org/10.1177/0957926523119050410.1177/09579265231190504Search in Google Scholar

Majmundar, A., Allem, J.-P., Cruz, T. B., & Unger, J. B. (2018). The Why We Retweet scale. PLOS ONE, 13(10), e0206076. https://doi.org/10.1371/journal.pone.020607610.1371/journal.pone.0206076Search in Google Scholar

Mattei, M., Pratelli, M., Caldarelli, G., Petrocchi, M., & Saracco, F. (2022). Bow-tie structures of Twitter discursive communities. Scientific Reports, 12(1), Article 1. https://doi.org/10.1038/s41598-022-16603-710.1038/s41598-022-16603-7Search in Google Scholar

MacNamee, D. (2023, 17 December). Exclusive: The X Files – How Elon Musk’s new rules allow hate to flourish. Business Post. https://www.businesspost.ie/news/exclusive-the-x-files-how-elon-musks-new-rules-allow-hate-to-flourish/Search in Google Scholar

Meraz, S., & Papacharissi, Z. (2013). Networked gatekeeping and networked framing on #Egypt. The International Journal of Press/Politics, 18(2), 138–166. https://doi.org/10.1177/194016121247447210.1177/1940161212474472Search in Google Scholar

Münch, F. V. (2019). Measuring the networked public: Exploring network science methods for large scale online media studies [Doctoral dissertation]. Queensland University of Technology.Search in Google Scholar

Nerghes, A., & Lee, J.-S. (2019). Narratives of the refugee crisis: A comparative study of mainstream-media and twitter. Media and Communication, 7(2), 275–288. https://doi.org/10.17645/mac.v7i2.198310.17645/mac.v7i2.1983Search in Google Scholar

Nicasio-Varea, B., Pérez-Gabaldón, M., & Chavez, M. (2020). Using social media to motivate anti-migration sentiments. Political implications in the United States and beyond. Tripodos, 49, 51–69. https://doi.org/10.51698/tripodos.2020.49p51-6910.51698/tripodos.2020.49p51-69Search in Google Scholar

Papacharissi, Z. (2015). Affective publics: Sentiment, technology, and politics. Oxford University Press.10.1093/acprof:oso/9780199999736.001.0001Search in Google Scholar

Petropoulos, T. S. (2021). Breaking point: How migrant crises have influenced the rise of far-right parties in Italy, Germany, and the UK. Fordham University Fordham University.Search in Google Scholar

Punziano, G., De Falco, C. C., & Trezza, D. (2023). Digital mixed content analysis for the study of digital platform social data: An illustration from the analysis of COVID-19 risk perception in the Italian Twittersphere. Journal of Mixed Methods Research, 17(2), 143–170. https://doi.org/10.1177/1558689821106764710.1177/15586898211067647Search in Google Scholar

Recuero, R., Zago, G., & Soares, F. (2019). Using social network analysis and social capital to identify user roles on polarized political conversations on Twitter. Social Media + Society, 5(2). https://doi.org/10.1177/205630511984874510.1177/2056305119848745Search in Google Scholar

Risam, R. (2015). Beyond the margins: Intersectionality and the digital humanities. Digital Humanities Quarterly, 9(2). https://digitalrepository.salemstate.edu/handle/20.500.13013/418Search in Google Scholar

Roberts, H. (2022, 11 March). Italy’s Matteo Salvini recasts himself as champion of Ukraine’s refugees. POLITICO. https://www.politico.eu/article/italys-matteo-salvini-recasts-himself-as-champion-of-ukraines-refugees/Search in Google Scholar

Russo, V., & del Gobbo, E. (2023). Inside trending topic algorithm: How do human interactions drive public opinion in an artificial environment. Social Science Computer Review, 41(1), 234–248. https://doi.org/10.1177/0894439321104150110.1177/08944393211041501Search in Google Scholar

Sales, M. I. (2023). The refugee crisis’ double standards: Media framing and the proliferation of positive and negative narratives during the Ukrainian and Syrian crises. EuroMeSCo. https://www.euromesco.net/publication/the-refugee-crisis-double-standards-media-framing-and-the-proliferation-of-positive-and-negative-narratives-during-the-ukrainian-and-syrian-crisis/Search in Google Scholar

Serrano, J. C. M., Shahrezaye, M., Papakyriakopoulos, O., & Hegelich, S. (2019). The rise of Germany’s AfD: A social media analysis. Proceedings of the 10^th International Conference on Social Media and Society, 214–223. https://doi.org/10.1145/3328529.332856210.1145/3328529.3328562Search in Google Scholar

Smith, M. a, Rainie, L., Shneiderman, B., & Himelboim, I. (2014, 20 February). Mapping Twitter topic networks: From polarized crowds to community clusters. Pew Research Center: Internet, Science & Tech. https://www.pewresearch.org/internet/2014/02/20/mapping-twitter-topic-networks-from-polarized-crowds-to-community-clusters/Search in Google Scholar

Sommer, R. (2022). Narrative dynamics and migration: Centrifugal vs. centripetal forces. University of Wuppertal.Search in Google Scholar

Suomela, T., Chee, F., Berendt, B., & Rockwell, G. (2019). Applying an Ethics of Care to Internet Research: Gamergate and Digital Humanities. Digital Studies/Le Champ Numérique, 9(1), Article 1. https://doi.org/10.16995/dscn.30210.16995/dscn.302Search in Google Scholar

Traag, V. A., Waltman, L., & van Eck, N. J. (2019). From Louvain to Leiden: Guaranteeing well-connected communities. Scientific Reports, 9(1), 5233. https://doi.org/10.1038/s41598-019-41695-z10.1038/s41598-019-41695-zSearch in Google Scholar

Tumasjan, A., Sprenger, T. O., Sandner, P. G., & Welpe, I. M. (2011). Election forecasts with Twitter: How 140 characters reflect the political landscape. Social Science Computer Review, 29(4), 402–418. https://doi.org/10.1177/089443931038655710.1177/0894439310386557Search in Google Scholar

Tuters, M., & Willaert, T. (2022). Deep state phobia: Narrative convergence in coronavirus conspiracism on Instagram. Convergence: The International Journal of Research into New Media Technologies, 28(4), 1214–1238. https://doi.org/10.1177/1354856522111875110.1177/13548565221118751Search in Google Scholar

Twitter. (2023). Twitter’s recommendation algorithm. Twitter Engineering Blog. https://blog.twitter.com/engineering/en_us/topics/open-source/2023/twitter-recommendation-algorithmSearch in Google Scholar

Velasquez, A., & LaRose, R. (2015). Youth collective activism through social media: The role of collective efficacy. New Media & Society, 17(6), 899–918. https://doi.org/10.1177/146144481351839110.1177/1461444813518391Search in Google Scholar

Vilella, S., Lai, M., Paolotti, D., & Ruffo, G. (2020). Immigration as a divisive topic: Clusters and content diffusion in the Italian Twitter debate. Future Internet, 12(10), Article 10. https://doi.org/10.3390/fi1210017310.3390/fi12100173Search in Google Scholar

Williams, H. T. P., McMurray, J. R., Kurz, T., & Hugo Lambert, F. (2015). Network analysis reveals open forums and echo chambers in social media discussions of climate change. Global Environmental Change, 32, 126–138. https://doi.org/10.1016/j.gloenvcha.2015.03.00610.1016/j.gloenvcha.2015.03.006Search in Google Scholar

Yan, P., & Schroeder, R. (2024). Drifting away from the mainstream: Media attention and the politics of hyperpartisan news websites. Weizenbaum Journal of the Digital Society, 4(2), Article 2. https://doi.org/10.34669/WI.WJDS/4.2.2Search in Google Scholar

Zajak, S., Stjepandić, K., & Steinhilper, E. (2021). Pro-migrant protest in times of COVID-19: Intersectional boundary spanning and hybrid protest practices. European Societies, 23(sup1), S172–S183. https://doi.org/10.1080/14616696.2020.182107610.1080/14616696.2020.1821076Search in Google Scholar

Zehring, M., & Domahidi, E. (2023). German Corona protest mobilizers on Telegram and their relations to the far right: A network and topic analysis. Social Media + Society, 9(1). https://doi.org/10.1177/2056305123115510610.1177/20563051231155106Search in Google Scholar