Pretending Positive, Pushing False: Comparing Captain Marvel Misinformation Campaigns

Babcock, Matthew; Cox, Ramon Alfonso Villa; Carley, Kathleen M.

doi:10.1007/978-3-030-42699-6_5

Cited by 4 publications

(2 citation statements)

References 16 publications

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“…In the context of the spread of misinformation, polarization has been identified as an important driver for its diffusion. This has been observed in the context of disinformation campaigns around the release of popular Marvel movies [22,23] and in the diffusion of scientific, conspiracy theory and satiric Facebook articles [24]. In the later study, confirmation bias was identified as a primary driver for this polarization as it lead to homogeneous clusters of media consumption.…”

Section: Polarization In News Consumptionmentioning

confidence: 77%

Exploring Polarization of Users Behavior on Twitter During the 2019 South American Protests

Villa-Cox,

Helen,

KhudaBukhsh

et al. 2021

Preprint

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Research across different disciplines has documented the expanding polarization in social media. However, much of it focused on the US political system or its culturally controversial topics. In this work, we explore polarization on Twitter in a different context, namely the protest that paralyzed several countries in the South American region in 2019. By leveraging users' endorsement of politicians' tweets and hashtag campaigns with defined stances towards the protest (for or against), we construct a weakly labeled stance dataset with millions of users. We explore polarization in two related dimensions: language and news consumption patterns. In terms of linguistic polarization, we apply recent insights that leveraged machine translation methods, showing that the two communities speak consistently "different" languages, mainly along ideological lines (e.g., fascist translates to communist). Our results indicate that this recently-proposed methodology is also informative in different languages and contexts than originally applied. In terms of news consumption patterns, we cluster news agencies based on homogeneity of their user bases and quantify the observed polarization in its consumption. We find empirical evidence of the "filter bubble" phenomenon during the event, as we not only show that the user bases are homogeneous in terms of stance, but the probability that a user transitions from media of different clusters is low.

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Section: Polarization In News Consumptionmentioning

confidence: 77%

Exploring Polarization of Users Behavior on Twitter During the 2019 South American Protests

Villa-Cox,

Helen,

KhudaBukhsh

et al. 2021

Preprint

Self Cite

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show abstract

“…Social network analysis is already recognized as one of the many available OSINT tools [4], [5], while dynamic network analysis techniques combine network analytics and semantical analytics, affording an understanding of both network structure and content. The use of such tools has been proven through repeated studies within just the last few years; these methods have been applied to terrorism and online extremism [6], hate speech and COVID-19 [7], fake news, misinformation, and disinformation [8] and recent elections [9]. Further, it may be useful to characterize public forum discussion before diving in to any one instance of targeted study, as the same techniques can be applied to study of specific groups or organizationsfor instance, finding autonomous agents pushing narratives in the general conversation could lead to further study of specific nation-state actors targeting commercial industry or other nation-state actors.…”

mentioning

confidence: 99%

Conversations around organizational risk and insider threat

Osterritter

Carley

2021

Proceedings of the 2021 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining

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Organizational risk and resilience as well as insider threat have been studied through the lenses of socio-psychological studies and information and computer sciences. As with all disciplines, it is an area in which practitioners, enthusiasts, and experts discuss the theory, issues, and solutions of the field in various online public forums. Such conversations, despite their public nature, can be difficult to understand and to study, even by those deeply involved in the communities themselves. Who are the key actors? How can we understand and characterize the culture around such communities, the problems they face, and the solutions favored by the experts in the field? Which narratives are being created and propagated, and by whomand are these actors truly people, or are they autonomous agents, or "bots"?In this paper, we demonstrate the value in applying dynamic network analysis and social network analysis to gain situational awareness of the public conversation around insider threat, nation-state espionage, and industrial espionage. Characterizing public discourse around a topic can reveal individuals and organizations attempting to push or shape narratives in ways that might not be obvious to casual observation. Such techniques have been used to great effect in the study of elections, the COVID-19 pandemic, and the study of misinformation and disinformation, and we hope to show that their use in this area is a powerful way to build a foundation of understanding around the conversations in the online public forum, provide data and analysis for use in further research, and equip counter insider threat practitioners with new insights.

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A Political Disinfodemic

Carley

2022

Advanced Sciences and Technologies for Security Applications

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Pretending Positive, Pushing False: Comparing Captain Marvel Misinformation Campaigns

Cited by 4 publications

References 16 publications

Exploring Polarization of Users Behavior on Twitter During the 2019 South American Protests

Exploring Polarization of Users Behavior on Twitter During the 2019 South American Protests

Conversations around organizational risk and insider threat

A Political Disinfodemic

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