Investigating Italian disinformation spreading on Twitter in the context of 2019 European elections
Open accessAbstract
We investigate the presence (and the influence) of disinformation spreading on online social networks in Italy, in the 5-month period preceding the 2019 European Parliament elections. To this aim we collected a large-scale dataset of tweets associated to thousands of news articles published on Italian disinformation websites. In the observation period, a few outlets accounted for most of the deceptive information circulating on Twitter, which focused on controversial and polarizing topics of debate such as immigration, national safety and (Italian) nationalism. We found evidence of connections between Italian disinformation sources and different disinformation outlets across Europe, U.S. and Russia, featuring similar, even translated, articles in the period before the elections. Overall, the spread of disinformation on Twitter was confined in a limited community, strongly (and explicitly) related to the Italian conservative and far-right political environment, who had a limited impact on online discussions on the up-coming elections.
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Cites
(2003) · Journal of Machine Learning Research · doi:10.5555/944919.944937 · Cited by 32,337 · see citing works
Fast unfolding of communities in large networks
Blondel, V. D., Guillaume, J.-L., Lambiotte, R., & Lefebvre, E. (2008) · Journal of Statistical Mechanics: Theory and Experiment · doi:10.1088/1742-5468/2008/10/p10008 · Cited by 21,424 · see citing works
Nonparametric Tests Against Trend
Mann, H. B. (1945) · Econometrica · doi:10.2307/1907187 · Cited by 17,522 · see citing works
Community structure in social and biological networks
Girvan, M., & Newman, M. E. J. (2002) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.122653799 · Cited by 15,502 · see citing works
(1999) · Cited by 12,854 · see citing works
Blei, D. M., Ng, A. Y., & Jordan, M. I. (2002) · The MIT Press eBooks · doi:10.7551/mitpress/1120.003.0082 · Cited by 12,649 · see citing works
A set of measures of centrality based upon betweenness
Freeman, L. (1977) · Sociometry · doi:10.2307/3033543 · Cited by 10,557 · see citing works
The spread of true and false news online
Vosoughi, S., Roy, D., & Aral, S. (2018) · Science · doi:10.1126/science.aap9559 · Cited by 8,847 · cited 1× · see citing works
“Focusing on 2016 US Presidential elections, recent research has shown that false news spread deeper, faster and broader than reliable news [6], with social bots and echo chambers playing an important role in the diffusion of deceptive information [7, 8].”
BackgroundExploring Network Structure, Dynamics, and Function Using NetworkX
Hagberg, A. A., Schult, D. A., & Swart, P. J. (2008) · Proceedings of the Python in Science Conference · doi:10.25080/tcwv9851 · Cited by 7,477 · see citing works
Social Media and Fake News in the 2016 Election
Allcott, H., & Gentzkow, M. (2017) · Journal of Economic Perspectives · doi:10.1257/jep.31.2.211 · Cited by 6,767 · see citing works
Kendall, M. G. (1957) · Biometrika · doi:10.2307/2333282 · Cited by 6,444 · see citing works
Lazer, D. M. J., Baum, M. A., Benkler, Y., Berinsky, A. J., Greenhill, K. M., Menczer, F., Metzger, M. J., Nyhan, B., Pennycook, G., Rothschild, D., et al. (2018) · Science · doi:10.1126/science.aao2998 · Cited by 4,160 · see citing works
Specificity and Stability in Topology of Protein Networks
Maslov, S., & Sneppen, K. (2002) · Science · doi:10.1126/science.1065103 · Cited by 3,051 · see citing works
Geary, R. C., & Kendall, M. G. (1949) · The Economic Journal · doi:10.2307/2226580 · Cited by 2,440 · see citing works
Community detection in networks: a user guide
Fortunato, S., & Hric, D. (2016) · Physics Reports · doi:10.1016/j.physrep.2016.09.002 · Cited by 2,086 · see citing works
Reuters Institute Digital News Report 2015
Newman, N., Levy, D. A. L., & Nielsen, R. K. (2015) · SSRN Electronic Journal · doi:10.2139/ssrn.2619576 · Cited by 1,890 · see citing works
Setting the agenda: the mass media and public opinion
(2005) · Choice Reviews Online · doi:10.5860/choice.42-6312 · Cited by 1,826 · see citing works
Fake news on Twitter during the 2016 U.S. presidential election
Grinberg, N., Joseph, K., Friedland, L., Swire-Thompson, B., & Lazer, D. (2019) · Science · doi:10.1126/science.aau2706 · Cited by 1,803 · see citing works
Barabรกsi, A.-L. (2016) · Cited by 1,375 · see citing works
Mere Exposure: A Gateway to the Subliminal
Zajonc, R. B. (2001) · Current Directions in Psychological Science · doi:10.1111/1467-8721.00154 · Cited by 1,299 · see citing works
The spread of low-credibility content by social bots
Shao, C., Ciampaglia, G. L., Varol, O., Yang, K.-C., Flammini, A., & Menczer, F. (2018) · Nature Communications · doi:10.1038/s41467-018-06930-7 · Cited by 1,125 · see citing works
Mere Exposure: A Gateway to the Subliminal
Zajonc, R. B. (2006) · Cambridge University Press eBooks · doi:10.1017/cbo9780511618031.026 · Cited by 952 · see citing works
Computer Age Statistical Inference
Efron, B., & Hastie, T. (2016) · Cambridge University Press eBooks · doi:10.1017/cbo9781316576533 · Cited by 926 · see citing works
BotOrNot: A System to Evaluate Social Bots
Davis, C. A., Varol, O., Ferrara, E., Flammini, A., & Menczer, F. (2016) · Proceedings of the 25th International Conference Companion on World Wide Web - WWW 16 Companion · doi:10.1145/2872518.2889302 · Cited by 909 · see citing works
Influence of fake news in Twitter during the 2016 US presidential election
Bovet, A., & Makse, H. A. (2019) · CUNY Academic Works (City University of New York) · Cited by 882 · see citing works
Is the Sample Good Enough? Comparing Data from Twitter's Streaming API with Twitter's Firehose
Morstatter, F., Pfeffer, J., Liu, H., & Carley, K. (2021) · Proceedings of the International AAAI Conference on Web and Social Media · doi:10.1609/icwsm.v7i1.14401 · Cited by 863 · see citing works
Horne, B. D., & Adalı, S. (2017) · Proceedings of the International AAAI Conference on Web and Social Media · doi:10.1609/icwsm.v11i1.14976 · Cited by 715 · see citing works
Influence of fake news in Twitter during the 2016 US presidential election
Bovet, A., & Makse, H. A. (2019) · Nature Communications · doi:10.1038/s41467-018-07761-2 · Cited by 701 · see citing works
An O(m) Algorithm for Cores Decomposition of NetworksPreprint
Batagelj, V., & Zaveršnik, M. (2003) · arXiv (Cornell University) · doi:10.48550/arxiv.cs/0310049 · Cited by 650 · see citing works
Vargo, C. J., Гуо, Л., & Amazeen, M. A. (2017) · New Media & Society · doi:10.1177/1461444817712086 · Cited by 638 · see citing works
Detecting and Tracking Political Abuse in Social Media
Ratkiewicz, J., Conover, M., Meiss, M., Gonçalves, B., Flammini, A., & Menczer, F. (2021) · Proceedings of the International AAAI Conference on Web and Social Media · doi:10.1609/icwsm.v5i1.14127 · Cited by 580 · see citing works
The spread of low-credibility content by social bots
Shao, C., Ciampaglia, G. L., Varol, O., Yang, K.-C., Flammini, A., & Menczer, F. (2018) · RePEc: Research Papers in Economics · Cited by 574 · see citing works
Disinformation and social bot operations in the run up to the 2017 French presidential election
Ferrara, E. (2017) · First Monday · doi:10.5210/fm.v22i8.8005 · Cited by 524 · see citing works
Bots increase exposure to negative and inflammatory content in online social systems
Stella, M., Ferrara, E., & De Domenico, M. (2018) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1803470115 · Cited by 492 · see citing works
New Directions in Agenda-Setting Theory and Research
McCombs, M., Shaw, D. L., & Weaver, D. H. (2014) · Mass Communication & Society · doi:10.1080/15205436.2014.964871 · Cited by 471 · see citing works
Shao, C., Ciampaglia, G. L., Flammini, A., & Menczer, F. (2016) · International World Wide Web Conference (WWW) · doi:10.1145/2872518.2890098 · Cited by 410 · see citing works
Studying Facebook via data extraction
Rieder, B. (2013) · ACM Web Science Conference (WebSci) · doi:10.1145/2464464.2464475 · Cited by 402 · see citing works
The Brexit Botnet and User-Generated Hyperpartisan News
Bastos, M., & Mercea, D. (2019) · Social Science Computer Review · doi:10.1177/0894439317734157 · Cited by 385 · see citing works
Debunking in a world of tribes
Zollo, F., Bessi, A., Del Vicario, M., Scala, A., Caldarelli, G., Shekhtman, L., Havlin, S., & Quattrociocchi, W. (2017) · PLOS ONE · doi:10.1371/journal.pone.0181821 · Cited by 345 · see citing works
Anatomy of an online misinformation network
Shao, C., Hui, P.-M., Wang, L., Jiang, X., Flammini, A., Menczer, F., & Ciampaglia, G. L. (2018) · PLoS ONE · doi:10.1371/journal.pone.0196087 · Cited by 282 · see citing works
Polarization and Fake News: Early Warning of Potential Misinformation Targets
Vicario, M. D., Quattrociocchi, W., Scala, A., & Zollo, F. (2019) · ACM Transactions on the Web · doi:10.1145/3316809 · Cited by 280 · see citing works
Network Issue Agendas on Twitter During the 2012 U.S. Presidential Election
Vargo, C. J., Гуо, Л., McCombs, M., & Shaw, D. L. (2014) · Journal of Communication · doi:10.1111/jcom.12089 · Cited by 259 · see citing works
Computer age statistical inference algorithms, evidence, and data science
Efron, B., & Hastie, T. J. (2016) · Thammasat University Digital Collections · Cited by 254 · see citing works
European Council on Foreign Relations
Turner, B. A. (2012) · Palgrave Macmillan UK eBooks · doi:10.1007/978-1-349-59541-9_133 · Cited by 241 · see citing works
Pierri, F., & Ceri, S. (2019) · ACM SIGMOD Record · doi:10.1145/3377330.3377334 · Cited by 137 · see citing works
Self-citationNew Directions in Agenda-Setting Theory and Research
McCombs, M., Shaw, D. L., & Weaver, D. H. (2018) · Routledge eBooks · doi:10.4324/9781315164441-9 · Cited by 95 · see citing works
Topology comparison of Twitter diffusion networks effectively reveals misleading information
Pierri, F., Piccardi, C., & Ceri, S. (2020) · Scientific Reports · doi:10.1038/s41598-020-58166-5 · Cited by 85 · see citing works
Self-citationIs this the Era of Misinformation yet
Wang, P., Angarita, R., & Renna, I. (2018) · International World Wide Web Conference (WWW) · doi:10.1145/3184558.3191610 · Cited by 63 · see citing works
Polarization and Fake News: Early Warning of Potential Misinformation TargetsPreprint
Vicario, M. D., Quattrociocchi, W., Antonio Scala, A., & Zollo, F. (2018) · arXiv (Cornell University) · doi:10.48550/arxiv.1802.01400 · Cited by 60 · see citing works
Shao, Y. M., Ma, X., Paira, P., Tan, A., Herr, D. R., Lim, K. L., Ng, C. H., Venkatesan, G., Klotz, K., Federico, S., et al. (2018) · PLoS ONE · doi:10.1371/journal.pone.0188212 · Cited by 46 · see citing works
Neudert, L., Kollányi, B., & Howard, P. (2017) · Cited by 38 · see citing works
News Consumption during the Italian Referendum: A Cross-Platform Analysis on Facebook and Twitter
Vicario, M. D., Gaito, S., Quattrociocchi, W., Zignani, M., & Zollo, F. (2017) · IEEE International Conference on Data Science and Advanced Analytics (DSAA) · doi:10.1109/dsaa.2017.33 · Cited by 36 · see citing works
Mapping Italian News Media Political Coverage in the Lead-Up of 2018 General ElectionPreprint
Giglietto, F., Iannelli, L., Rossi, L., et al. (2018) · SSRN Electronic Journal · doi:10.2139/ssrn.3179930 · Cited by 24 · see citing works
The Hoaxy Misinformation and Fact-Checking Diffusion Network
Hui, P.-M., Shao, C., Flammini, A., Menczer, F., & Ciampaglia, G. L. (2018) · Proceedings of the International AAAI Conference on Web and Social Media · doi:10.1609/icwsm.v12i1.14986 · Cited by 24 · see citing works
False News On Social Media: A Data-Driven SurveyPreprint
Pierri, F., & Ceri, S. (2019) · arXiv (Cornell University) · doi:10.48550/arxiv.1902.07539 · Cited by 23 · see citing works
Self-citationDoes Fake News Affect Voting Behaviour?Preprint
Cantarella, M., Fraccaroli, N., & Volpe, R. G. (2019) · SSRN Electronic Journal · doi:10.2139/ssrn.3402913 · Cited by 17 · see citing works
Topology comparison of Twitter diffusion networks reliably reveals disinformation news.Preprint
Pierri, F., Piccardi, C., & Ceri, S. (2019) · arXiv (Cornell University) · Cited by 3 · see citing works
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He, H., Yang, H., Burckhardt, P., Kapravelos, A., Vasilescu, B., & Kästner, C. (2026) · Proceedings of the 2026 IEEE/ACM 48th International Conference on Software Engineering · doi:10.1145/3744916.3764531 · Cited by 2 · see citing works
- Authors
- Pierri, F., Artoni, A., & Ceri, S.
- Affiliations
- Politecnico di Milano (IT)
- Corresponding author
- Pierri, Francesco
- Venue
- PLOS ONE
- Publisher
- Public Library of Science (PLoS)
- Published
- 2020-01-17
- Volume
- 15
- Issue
- 1
- Pages
- e0227821
- ISSN
- 1932-6203 (ISSN-L)
- PMC
- PMC6968875
- OpenAlex
- W2999115128
- Cited by
- 93
- References
- 57
- Citations by year
- 2026: 3 · 2025: 11 · 2024: 11 · 2023: 12 · 2022: 16 · 2021: 20 · 2020: 20
- FWCI
- 22.72
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- PLoS ONE (publishedVersion, cc-by)
- Europe PMC (PubMed Central) (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- arXiv (Cornell University) (submittedVersion)
- Virtual Community of Pathological Anatomy (University of Castilla La Mancha) (submittedVersion, other-oa)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- arXiv (Cornell University)
- Funders
- H2020 European Research Council (693174)
- Topics
- Social Sciences › Sociology and Political Science › Misinformation and Its Impacts
- Social Sciences › Communication › Social Media and Politics
- Physical Sciences › Physics and Astronomy › Statistical and Nonlinear Physics › Complex Network Analysis Techniques
- Keywords
- disinformation, Twitter, 2019 European Parliament elections, immigration, nationalism, national security, political campaigns
- MeSH terms
- Europe, Humans, Italy, Politics, Information Dissemination, Social Media
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