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Extremist Propaganda Tweet Classification with Deep Learning in Realistic Scenarios.

, , , and . WebSci, page 203-204. ACM, (2019)

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Cross-Media Learning for Image Sentiment Analysis in the Wild., , , , , , and . ICCV Workshops, page 308-317. IEEE Computer Society, (2017)Cashtag Piggybacking: Uncovering Spam and Bot Activity in Stock Microblogs on Twitter., , , , and . ACM Trans. Web, 13 (2): 11:1-11:27 (2019)Fine-grained Prediction of Political Leaning on Social Media with Unsupervised Deep Learning., and . J. Artif. Intell. Res., (2022)New Dimensions of Information Warfare: The Economic Pillar - Fintech and Cryptocurrencies., , , and . CRiSIS, volume 12528 of Lecture Notes in Computer Science, page 3-27. Springer, (2020)The Spread of Propaganda by Coordinated Communities on Social Media., , , , and . WebSci, page 191-201. ACM, (2022)Extremist Propaganda Tweet Classification with Deep Learning in Realistic Scenarios., , , and . WebSci, page 203-204. ACM, (2019)MulBot: Unsupervised Bot Detection Based on Multivariate Time Series., , , , and . IEEE Big Data, page 1485-1494. IEEE, (2022)EARS (earthquake alert and report system): a real time decision support system for earthquake crisis management., , , , and . KDD, page 1749-1758. ACM, (2014)Tracking Fringe and Coordinated Activity on Twitter Leading Up To the US Capitol Attack., , , , , and . CoRR, (2023)A decade of social bot detection.. Commun. ACM, 63 (10): 72-83 (2020)