000046575 001__ 46575 000046575 005__ 20230126102831.0 000046575 0247_ $$2doi$$a10.1140/epjds/s13688-015-0042-4 000046575 0248_ $$2sideral$$a90799 000046575 037__ $$aART-2015-90799 000046575 041__ $$aeng 000046575 100__ $$0(orcid)0000-0002-5060-7658$$aAlvarez, R. 000046575 245__ $$aSentiment cascades in the 15M movement 000046575 260__ $$c2015 000046575 5060_ $$aAccess copy available to the general public$$fUnrestricted 000046575 5203_ $$aRecent grassroots movements have suggested that online social networks might play a key role in their organization, as adherents have a fast, many-to-many, communication channel to help coordinate their mobilization. The structure and dynamics of the networks constructed from the digital traces of protesters have been analyzed to some extent recently. However, less effort has been devoted to the analysis of the semantic content of messages exchanged during the protest. Using the data obtained from a microblogging service during the brewing and active phases of the 15M movement in Spain, we perform the first large scale test of theories on collective emotions and social interaction in collective actions. Our findings show that activity and information cascades in the movement are larger in the presence of negative collective emotions and when users express themselves in terms related to social content. At the level of individual participants, our results show that their social integration in the movement, as measured through social network metrics, increases with their level of engagement and of expression of negativity. Our findings show that non-rational factors play a role in the formation and activity of social movements through online media, having important consequences for viral spreading. 000046575 536__ $$9info:eu-repo/grantAgreement/EC/FP7/317532/EU/Foundational Research on MULTIlevel comPLEX networks and systems/MULTIPLEX 000046575 540__ $$9info:eu-repo/semantics/openAccess$$aby$$uhttp://creativecommons.org/licenses/by/3.0/es/ 000046575 590__ $$a1.567$$b2015 000046575 591__ $$aMATHEMATICS, INTERDISCIPLINARY APPLICATIONS$$b36 / 101 = 0.356$$c2015$$dQ2$$eT2 000046575 591__ $$aSOCIAL SCIENCES, MATHEMATICAL METHODS$$b17 / 49 = 0.347$$c2015$$dQ2$$eT2 000046575 592__ $$a0.98$$b2015 000046575 593__ $$aComputer Science Applications$$c2015$$dQ1 000046575 593__ $$aModeling and Simulation$$c2015$$dQ1 000046575 593__ $$aComputational Mathematics$$c2015$$dQ2 000046575 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/publishedVersion 000046575 700__ $$aGarcia, D. 000046575 700__ $$0(orcid)0000-0002-0895-1893$$aMoreno, Y.$$uUniversidad de Zaragoza 000046575 700__ $$aSchweitzer, F. 000046575 7102_ $$12004$$2405$$aUniversidad de Zaragoza$$bDpto. Física Teórica$$cÁrea Física Teórica 000046575 773__ $$g4 (2015), 1-13$$pEPJ data sci.$$tEPJ Data Science$$x2193-1127 000046575 8564_ $$s1673325$$uhttps://zaguan.unizar.es/record/46575/files/texto_completo.pdf$$yVersión publicada 000046575 8564_ $$s92480$$uhttps://zaguan.unizar.es/record/46575/files/texto_completo.jpg?subformat=icon$$xicon$$yVersión publicada 000046575 909CO $$ooai:zaguan.unizar.es:46575$$particulos$$pdriver 000046575 951__ $$a2023-01-26-09:50:34 000046575 980__ $$aARTICLE