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Avvenuti, M., Cimino, M. G., Cresci, S., Marchetti, A., & Tesconi, M. (2016). A framework for detecting unfolding emergencies using humans as sensors. SpringerPlus, 5(1), 1, Springer

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Cresci, S., Di Pietro, R., Petrocchi, M., Spognardi, A., & Tesconi, M. (2016). DNA-inspired online behavioral modeling and its application to spambot detection. IEEE Intelligent Systems, 31(5), 58-64, IEEE

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Cresci, S., Di Pietro, R., Petrocchi, M., Spognardi, A., & Tesconi, M. (2016). Social fingerprinting - or the truth About you. ERCIM News, 106, 26-27, ERCIM

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Cresci, S., Di Pietro, R., Petrocchi, M., Spognardi, A., & Tesconi, M. (2015). Fame for sale: efficient detection of fake Twitter followers. Decision Support Systems, 80, 56-71, Elsevier

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Avvenuti, M., Cresci, S., Del Vigna, F., & Tesconi, M. (2016). Impromptu Crisis Mapping to Prioritize Emergency Response. Computer, 49(5), 28-37.

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Avvenuti, Del Vigna, Cresci, Marchetti, Tesconi, "Pulling Information from Social Media in the Aftermath of Unpredictable Disasters", 2015 2nd International Conference on Information and Communication Technologies for Disaster Management (ICT-DM)

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Cresci, S., Cimino, A., Dell’Orletta, F., & Tesconi, M. (2015, November). Crisis mapping during natural disasters via text analysis of social media messages. In International Conference on Web Information Systems Engineering (pp. 250-258), Springer

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Cresci, S., Tesconi, M., Cimino, A., & Dell'Orletta, F. (2015, May). A linguistically-driven approach to cross-event damage assessment of natural disasters from social media messages. In Proceedings of the 24th WWW, ACM

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Cimino, A., Cresci, S., Dell’Orletta, F., & Tesconi, M. (2014). Linguistically-motivated and lexicon features for sentiment analysis of italian tweets. 4th evaluation campaign of Natural Language Processing and Speech tools for Italian (EVALITA 2014)

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