The limited reach of fake news on Twitter during 2019 European elections
The advent of social media changed the way we consume content, favoring a disintermediated access to, and production of information. This scenario has been matter of critical discussion about its impact on society, magnified in the case of the Arab Springs or heavily criticized during Brexit and the...
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| Vydané v: | PloS one Ročník 15; číslo 6; s. e0234689 |
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| Hlavní autori: | , , , , |
| Médium: | Journal Article |
| Jazyk: | English |
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Public Library of Science
18.06.2020
Public Library of Science (PLoS) |
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| ISSN: | 1932-6203, 1932-6203 |
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| Abstract | The advent of social media changed the way we consume content, favoring a disintermediated access to, and production of information. This scenario has been matter of critical discussion about its impact on society, magnified in the case of the Arab Springs or heavily criticized during Brexit and the 2016 U.S. elections. In this work we explore information consumption on Twitter during the 2019 European Parliament electoral campaign by analyzing the interaction patterns of official news outlets, disinformation outlets, politicians, people from the showbiz and many others. We extensively explore interactions among different classes of accounts in the months preceding the elections, held between 23rd and 26th of May, 2019. We collected almost 400,000 tweets posted by 863 accounts having different roles in the public society. Through a thorough quantitative analysis we investigate the information flow among them, also exploiting geolocalized information. Accounts show the tendency to confine their interaction within the same class and the debate rarely crosses national borders. Moreover, we do not find evidence of an organized network of accounts aimed at spreading disinformation. Instead, disinformation outlets are largely ignored by the other actors and hence play a peripheral role in online political discussions. |
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| AbstractList | The advent of social media changed the way we consume content, favoring a disintermediated access to, and production of information. This scenario has been matter of critical discussion about its impact on society, magnified in the case of the Arab Springs or heavily criticized during Brexit and the 2016 U.S. elections. In this work we explore information consumption on Twitter during the 2019 European Parliament electoral campaign by analyzing the interaction patterns of official news outlets, disinformation outlets, politicians, people from the showbiz and many others. We extensively explore interactions among different classes of accounts in the months preceding the elections, held between 23rd and 26th of May, 2019. We collected almost 400,000 tweets posted by 863 accounts having different roles in the public society. Through a thorough quantitative analysis we investigate the information flow among them, also exploiting geolocalized information. Accounts show the tendency to confine their interaction within the same class and the debate rarely crosses national borders. Moreover, we do not find evidence of an organized network of accounts aimed at spreading disinformation. Instead, disinformation outlets are largely ignored by the other actors and hence play a peripheral role in online political discussions. The advent of social media changed the way we consume content, favoring a disintermediated access to, and production of information. This scenario has been matter of critical discussion about its impact on society, magnified in the case of the Arab Springs or heavily criticized during Brexit and the 2016 U.S. elections. In this work we explore information consumption on Twitter during the 2019 European Parliament electoral campaign by analyzing the interaction patterns of official news outlets, disinformation outlets, politicians, people from the showbiz and many others. We extensively explore interactions among different classes of accounts in the months preceding the elections, held between 23rd and 26th of May, 2019. We collected almost 400,000 tweets posted by 863 accounts having different roles in the public society. Through a thorough quantitative analysis we investigate the information flow among them, also exploiting geolocalized information. Accounts show the tendency to confine their interaction within the same class and the debate rarely crosses national borders. Moreover, we do not find evidence of an organized network of accounts aimed at spreading disinformation. Instead, disinformation outlets are largely ignored by the other actors and hence play a peripheral role in online political discussions.The advent of social media changed the way we consume content, favoring a disintermediated access to, and production of information. This scenario has been matter of critical discussion about its impact on society, magnified in the case of the Arab Springs or heavily criticized during Brexit and the 2016 U.S. elections. In this work we explore information consumption on Twitter during the 2019 European Parliament electoral campaign by analyzing the interaction patterns of official news outlets, disinformation outlets, politicians, people from the showbiz and many others. We extensively explore interactions among different classes of accounts in the months preceding the elections, held between 23rd and 26th of May, 2019. We collected almost 400,000 tweets posted by 863 accounts having different roles in the public society. Through a thorough quantitative analysis we investigate the information flow among them, also exploiting geolocalized information. Accounts show the tendency to confine their interaction within the same class and the debate rarely crosses national borders. Moreover, we do not find evidence of an organized network of accounts aimed at spreading disinformation. Instead, disinformation outlets are largely ignored by the other actors and hence play a peripheral role in online political discussions. |
| Audience | Academic |
| Author | Tesconi, Maurizio Cinelli, Matteo Galeazzi, Alessandro Cresci, Stefano Quattrociocchi, Walter |
| AuthorAffiliation | 4 Ca’Foscari Univerisity of Venice, Venice, Italy 1 ISC CNR, Rome, Italy 2 IIT CNR, Pisa, Italy RIKEN, JAPAN 3 University of Brescia, Brescia, Italy |
| AuthorAffiliation_xml | – name: 1 ISC CNR, Rome, Italy – name: 2 IIT CNR, Pisa, Italy – name: RIKEN, JAPAN – name: 4 Ca’Foscari Univerisity of Venice, Venice, Italy – name: 3 University of Brescia, Brescia, Italy |
| Author_xml | – sequence: 1 givenname: Matteo surname: Cinelli fullname: Cinelli, Matteo – sequence: 2 givenname: Stefano orcidid: 0000-0003-0170-2445 surname: Cresci fullname: Cresci, Stefano – sequence: 3 givenname: Alessandro orcidid: 0000-0001-6859-0391 surname: Galeazzi fullname: Galeazzi, Alessandro – sequence: 4 givenname: Walter surname: Quattrociocchi fullname: Quattrociocchi, Walter – sequence: 5 givenname: Maurizio surname: Tesconi fullname: Tesconi, Maurizio |
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| CitedBy_id | crossref_primary_10_1371_journal_pone_0301364 crossref_primary_10_1590_1807_019120212731058 crossref_primary_10_1111_asap_12371 crossref_primary_10_1016_j_is_2021_101769 crossref_primary_10_1111_japp_70002 crossref_primary_10_1016_j_eswa_2022_117053 crossref_primary_10_3390_math9222988 crossref_primary_10_1177_14614448211045666 crossref_primary_10_1371_journal_pone_0241389 crossref_primary_10_3390_journalmedia5030060 crossref_primary_10_1080_19331681_2022_2076272 crossref_primary_10_1145_3419369 crossref_primary_10_1177_14648849211032081 crossref_primary_10_1177_14614448221122146 crossref_primary_10_1038_s41562_022_01460_1 crossref_primary_10_1016_j_copsyc_2022_101407 crossref_primary_10_3390_publications9020023 crossref_primary_10_1007_s42001_020_00094_5 crossref_primary_10_1007_s41109_021_00439_7 crossref_primary_10_1016_j_chbr_2025_100626 crossref_primary_10_1140_epjds_s13688_023_00420_7 crossref_primary_10_17645_mac_9525 crossref_primary_10_1371_journal_pone_0265602 crossref_primary_10_1038_s41562_020_0889_7 crossref_primary_10_1080_15230406_2023_2286385 crossref_primary_10_1590_1678_98732433e005 |
| Cites_doi | 10.1145/3041021.3055135 10.1073/pnas.1517441113 10.1073/pnas.1617052114 10.1257/jep.31.2.211 10.1038/s41467-018-07761-2 10.1126/science.aap9559 10.1109/DSAA.2017.33 10.1038/srep37825 10.1371/journal.pone.0227821 10.1038/scientificamerican0417-60 10.1073/pnas.1803470115 10.1371/journal.pone.0118093 10.1145/3316809 10.1073/pnas.1805871115 10.1126/science.aaw1315 10.1038/srep04938 10.1126/science.aau2706 10.1109/IRI.2013.6642447 10.1145/3132847.3133147 10.1007/978-3-319-77332-2_10 10.1080/21670811.2017.1345645 |
| ContentType | Journal Article |
| Copyright | COPYRIGHT 2020 Public Library of Science 2020 Cinelli et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. 2020 Cinelli et al 2020 Cinelli et al |
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| Title | The limited reach of fake news on Twitter during 2019 European elections |
| URI | https://www.proquest.com/docview/2414723648 https://www.proquest.com/docview/2415301450 https://pubmed.ncbi.nlm.nih.gov/PMC7302448 https://doaj.org/article/6294da9fc6ba4f5ea16a5c07c263ff3f http://dx.doi.org/10.1371/journal.pone.0234689 |
| Volume | 15 |
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