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Detecting malicious campaigns in crowdsourcing platforms.

, , and . ASONAM, page 197-202. IEEE Computer Society, (2016)

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Uncovering Crowdsourced Manipulation of Online Reviews., , , and . SIGIR, page 233-242. ACM, (2015)Spatio-temporal dynamics of online memes: a study of geo-tagged tweets., , , and . WWW, page 667-678. International World Wide Web Conferences Steering Committee / ACM, (2013)Uncovering social spammers: social honeypots + machine learning., , and . SIGIR, page 435-442. ACM, (2010)Who Will Retweet This? Detecting Strangers from Twitter to Retweet Information., , , , and . ACM Trans. Intell. Syst. Technol., 6 (3): 31:1-31:25 (2015)Heterogeneous Hyper-Graph Neural Networks for Context-Aware Human Activity Recognition., , , and . PerCom Workshops, page 350-354. IEEE, (2023)Hierarchical Multi-head Attentive Network for Evidence-aware Fake News Detection., and . EACL, page 965-975. Association for Computational Linguistics, (2021)What Boosts Fake News Dissemination on Social Media? A Causal Inference View., , , and . PAKDD (4), volume 13938 of Lecture Notes in Computer Science, page 234-246. Springer, (2023)Extracting and Visualizing Wildlife Trafficking Events from Wildlife Trafficking Reports., , , , , , , and . ASONAM, page 575-578. IEEE, (2022)MRAttractor: Detecting communities from large-scale graphs., , and . IEEE BigData, page 797-806. IEEE Computer Society, (2017)Combating Threats to Collective Attention in Social Media: An Evaluation., , and . ICWSM, The AAAI Press, (2013)