Original title: Digitální informační operace Čínské lidové republiky v Jižní Koreji podpořené strojovým učením
Translated title: Machine Learning-enhanced digital Information Operations of the People's Republic of China in the Republic of Korea
Authors: Pasligh, Hendrik Arne ; Střítecký, Vít (advisor) ; Kaczmarski, Marcin (referee) ; Schlotti, Jivanta (referee)
Document type: Master’s theses
Year: 2020
Language: eng
Abstract: MachineLearning-enhanceddigitalInformationOperationsofthePeople's Republic ofChinain the Republic ofKorea Hendrik Arne Pasligh Abstract This study addressesthe research question if, how and to what end the People'sRepublic of China (PRC) might deploy digital information operations enhanced by machine learning (ML) technology in and against the Republic of Korea (ROK). To do so, Ulrich Beck's risk society theory is employed as the theoretical framework, which provides valuable insights into the environment in which information operations are conducted today. This environment is susceptible to information operations on a qualitatively fundamentally different new level. Further, this study establishes a terminology of information operations, bringing clarity to several ill-defined terms that prevail within academic literature. A scenario will be built to visualise a potential PRC information operation against the ROK. The majority of the study seeksto identify and analyse the relevant factors for such a scenario, particularly focusing on PRC strategic interestsandROK vulnerabilities against information operations.This studyfinds that: It is very likely that ML-enhanced artificial agents will increasingly be able to pose as human beings in the digital world; it is very likely that historical issues betweenthe...
Keywords: Chinese Communist Party; Disinformation; Information Operation; Machine Learning; Natural Language Processing; Non-Linear Warfare; People's Republic of China; Republic of Korea; Risk Society Theory; Vulnerability

Institution: Charles University Faculties (theses) (web)
Document availability information: Available in the Charles University Digital Repository.
Original record: http://hdl.handle.net/20.500.11956/177207

Permalink: http://www.nusl.cz/ntk/nusl-510989


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Universities and colleges > Public universities > Charles University > Charles University Faculties (theses)
Academic theses (ETDs) > Master’s theses