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Displaying items by tag: twitter
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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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Avvenuti, M., Cresci, S., Nizzoli, L., & Tesconi, M. (2018, June). GSP (Geo-Semantic-Parsing): geoparsing and geotagging with machine learning on top of linked data. In European Semantic Web Conference (pp. 17-32). Springer, Cham.
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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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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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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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L. Nizzoli, S. Tardelli, M. Avvenuti, S. Cresci, M. Tesconi and E. Ferrara, "Charting the Landscape of Online Cryptocurrency Manipulation," in IEEE Access, vol. 8, pp. 113230-113245, 2020, doi: 10.1109/ACCESS.2020.3003370.
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Nizzoli, L., Avvenuti, M., Cresci, S., & Tesconi, M. (2019, June). Extremist Propaganda Tweet Classification with Deep Learning in Realistic Scenarios. In Proceedings of the 10th ACM Conference on Web Science (pp. 203-204).
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Nizzoli, L., Avvenuti, M., Tesconi, M., & Cresci, S. (2020). Geo-semantic-parsing: AI-powered geoparsing by traversing semantic knowledge graphs. Decision Support Systems, 113346.
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S. Tardelli, M. Avvenuti, M. Tesconi, and S. Cresci. "Characterizing Social Bots Spreading Financial Disinformation." In International Conference on Human-Computer Interaction, pp. 376-392. Springer, Cham, 2020
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