Browsing by Author "Carley, Kathleen M."

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    Cross-platform information spread during the January 6th capitol riots
    (2022-09-09) Hui Xian Ng, Lynnette ; Cruickshank, Iain J. ; Carley, Kathleen M.
    Social media has become an integral component of the modern information system. An average person typically has multiple accounts across different platforms. At the same time, the rise of social media facilitates the spread of online mis/disinformation narratives within and across these platforms. In this study, we characterize the coordinated information dissemination of information laden with mis- and disinformation narratives within and across two platforms, Parler and Twitter, during the online discourse surrounding the January 6th 2021 Capitol Riots event. Through the use of username similarity, we discover joint theme endorsements between both platforms. Using anomalously high volume of shared-link matches of external websites and YouTube videos, we discover separate information consumption habits between both platforms, with very few common sources of information between users of the different platforms. However, through analyzing the similarity of the texts with Locality Sensitive Hashing of constructed text vectors, we identify similar narratives between the platforms despite separate consumption of external websites, highlighting the similarities and differences of information spread within and between the two social media environments.
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    Sociocultural Models of Nuclear Deterrence
    (Institute of Electrical and Electronics Engineers (IEEE), 2017-09) Morgan, Geoffrey P.; Lanham, Michael J.; Frankenstein, William; Carley, Kathleen M.
    Through the development of a computational sociocultural model, we demonstrate the potential utility of a rapid-modeling approach for exploring the dynamics of nuclear deterrence. We review the past literature, showing how our model is influenced by both the domestic politics and constructivist paradigm models of nuclear deterrence. Our model development process incorporates expert elicitation into a model featuring cognitively limited, perception error-prone, belief holding, and knowledge diffusing actors. Results from both an intellective and specific scenario were generated through running the model across various strategies and courses of action (CoAs). Third-party experts validated the model's short and long-term results and contribution to stakeholders exploring alternative CoAs. Work remains in validating this paper against empirical data sets and in automating the model construction process.