{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,8]],"date-time":"2026-04-08T15:52:28Z","timestamp":1775663548067,"version":"3.50.1"},"reference-count":60,"publisher":"MDPI AG","issue":"9","license":[{"start":{"date-parts":[[2021,8,28]],"date-time":"2021-08-28T00:00:00Z","timestamp":1630108800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100003407","name":"Ministero dell\u2019Istruzione, dell\u2019Universit\u00e0 e della Ricerca","doi-asserted-by":"publisher","award":["PRIN2017 project 2017JYCLSF"],"award-info":[{"award-number":["PRIN2017 project 2017JYCLSF"]}],"id":[{"id":"10.13039\/501100003407","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100009112","name":"Istituto Nazionale di Alta Matematica &quot;Francesco Severi&quot;","doi-asserted-by":"publisher","award":["GNCS-INDAM project"],"award-info":[{"award-number":["GNCS-INDAM project"]}],"id":[{"id":"10.13039\/100009112","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Future Internet"],"abstract":"<jats:p>This work highlights how the stiffness index, which is often used as a measure of stiffness for differential problems, can be employed to model the spread of fake news. In particular, we show that the higher the stiffness index is, the more rapid the transit of fake news in a given population. The illustration of our idea is presented through the stiffness analysis of the classical SIR model, commonly used to model the spread of epidemics in a given population. Numerical experiments, performed on real data, support the effectiveness of the approach.<\/jats:p>","DOI":"10.3390\/fi13090222","type":"journal-article","created":{"date-parts":[[2021,8,29]],"date-time":"2021-08-29T21:45:16Z","timestamp":1630273516000},"page":"222","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":24,"title":["Stiffness Analysis to Predict the Spread Out of Fake Information"],"prefix":"10.3390","volume":"13","author":[{"given":"Raffaele","family":"D\u2019Ambrosio","sequence":"first","affiliation":[{"name":"Department of Information Engineering and Computer Science and Mathematics, University of L\u2019Aquila, 67100 L\u2019Aquila, Italy"}]},{"given":"Giuseppe","family":"Giordano","sequence":"additional","affiliation":[{"name":"Department of Mathematics, University of Salerno, 84084 Fisciano, Italy"}]},{"given":"Serena","family":"Mottola","sequence":"additional","affiliation":[{"name":"Department of Economic and Legal Studies, University \u201cParthenope\u201d of Naples, 80133 Naples, Italy"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9712-1364","authenticated-orcid":false,"given":"Beatrice","family":"Paternoster","sequence":"additional","affiliation":[{"name":"Department of Mathematics, University of Salerno, 84084 Fisciano, Italy"}]}],"member":"1968","published-online":{"date-parts":[[2021,8,28]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"eaay3539","DOI":"10.1126\/sciadv.aay3539","article-title":"Evaluating the fake news problem at the scale of the information ecosystem","volume":"6","author":"Allen","year":"2020","journal-title":"Sci. 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