Accession Number : AD1000742


Title :   (YIP) Detecting, Analyzing, Modeling Adversarial Propaganda in Social Media


Descriptive Note : Technical Report,02 Jul 2012,31 Jul 2015


Corporate Author : TEXAS ENGINEERING EXPERIMENT STATION COLLEGE STATION COLLEGE STATION


Personal Author(s) : Caverlee,James


Full Text : https://apps.dtic.mil/dtic/tr/fulltext/u2/1000742.pdf


Report Date : 26 Oct 2015


Pagination or Media Count : 22


Abstract : This research project has focused on detecting, analyzing, and modeling campaigns engaged in strategic manipulation in social media. Research questions investigated include: Can we detect campaigns engaging in strategic manipulation efficiently and effectively, considering the massive and growing scale of social systems? What approaches are in use? How do they evolve? What impacts do spatial and temporal constraints of social media have on strategic manipulation? What are the dynamics of strategic manipulation?


Descriptors :   social media , Propaganda , social networking services , information operations , internet , probabilistic models , machine learning , online communications


Subject Categories : Computer Systems
      Psychology


Distribution Statement : APPROVED FOR PUBLIC RELEASE