Disrupting Dark Networks focuses on how social network analysis can be used to craft strategies to track, destabilize and disrupt covert and illegal networks. The book begins with an overview of the key terms and assumptions of social network analysis and various counterinsurgency strategies. The next several chapters introduce readers to algorithms and metrics commonly used by social network analysts. They provide worked examples from four different social network analysis software packages (UCINET, NetDraw, Pajek and ORA) using standard network data sets as well as data from an actual terrorist network that serves as a running example throughout the book. The book concludes by considering the ethics of and various ways that social network analysis can inform counterinsurgency strategizing. By contextualizing these methods in a larger counterinsurgency framework, this book offers scholars and analysts an array of approaches for disrupting dark networks.
Uncovering Coordinated Networks on Social Media: Methods and Case Studies
Coordinated campaigns are used to influence and manipulate social media platforms and their users, a critical challenge to the free exchange of information online. Here we introduce a general, unsupervised network-based methodology to uncover groups of accounts that are likely coordinated. The proposed method constructs coordination networks based on arbitrary behavioral traces shared among accounts. We present five case studies of influence campaigns, four of which in the diverse contexts of U.S. elections, Hong Kong protests, the Syrian civil war, and cryptocurrency manipulation. In each of these cases, we detect networks of coordinated Twitter accounts by examining their identities, images, hashtag sequences, retweets, or temporal patterns. The proposed approach proves to be broadly applicable to uncover different kinds of coordination across information warfare scenarios.
Remotely Coerced Violence: 764, The Com Network, and the Hybridization of Threats - Combating Terrorism Center at West Point
Abstract: This article examines 764 and the wider Com Network as a case study in remotely coerced violence and the hybridization of contemporary terrorist and violent extremist threats. It argues that nihilistic violent extremism is best understood as a victim-driven, youth-centered online ecosystem in which status, belonging, and identity are earned through the production, circulation, … Continued
Digital Social Norm Enforcement: Online Firestorms in Social Media
Actors of public interest today have to fear the adverse impact that stems from social media platforms. Any controversial behavior may promptly trigger temporal, but potentially devastating storms of emotional and aggressive outrage, so called online firestorms. Popular targets of online firestorms are companies, politicians, celebrities, media, academics and many more. This article introduces social norm theory to understand online aggression in a social-political online setting, challenging the popular assumption that online anonymity is one of the principle factors that promotes aggression. We underpin this social norm view by analyzing a major social media platform concerned with public affairs over a period of three years entailing 532,197 comments on 1,612 online petitions. Results show that in the context of online firestorms, non-anonymous individuals are more aggressive compared to anonymous individuals. This effect is reinforced if selective incentives are present and if aggressors are intrinsically motivated.
Digital Social Norm Enforcement: Online Firestorms in Social Media
Actors of public interest today have to fear the adverse impact that stems from social media platforms. Any controversial behavior may promptly trigger temporal, but potentially devastating storms of emotional and aggressive outrage, so called online firestorms. Popular targets of online firestorms are companies, politicians, celebrities, media, academics and many more. This article introduces social norm theory to understand online aggression in a social-political online setting, challenging the popular assumption that online anonymity is one of the principle factors that promotes aggression. We underpin this social norm view by analyzing a major social media platform concerned with public affairs over a period of three years entailing 532,197 comments on 1,612 online petitions. Results show that in the context of online firestorms, non-anonymous individuals are more aggressive compared to anonymous individuals. This effect is reinforced if selective incentives are present and if aggressors are intrinsically motivated.
A General Method to Find Highly Coordinating Communities in Social Media through Inferred Interaction Links
Political misinformation, astroturfing and organised trolling are online malicious behaviours with significant real-world effects. Many previous approaches examining these phenomena have focused on broad campaigns rather than the small groups responsible for instigating or sustaining them. To reveal latent (i.e., hidden) networks of cooperating accounts, we propose a novel temporal window approach that relies on account interactions and metadata alone. It detects groups of accounts engaging in various behaviours that, in concert, come to execute different goal-based strategies, a number of which we describe. The approach relies upon a pipeline that extracts relevant elements from social media posts, infers connections between accounts based on criteria matching the coordination strategies to build an undirected weighted network of accounts, which is then mined for communities exhibiting high levels of evidence of coordination using a novel community extraction method. We address the temporal aspect of the data by using a windowing mechanism, which may be suitable for near real-time application. We further highlight consistent coordination with a sliding frame across multiple windows and application of a decay factor. Our approach is compared with other recent similar processing approaches and community detection methods and is validated against two relevant datasets with ground truth data, using content, temporal, and network analyses, as well as with the design, training and application of three one-class classifiers built using the ground truth; its utility is furthermore demonstrated in two case studies of contentious online discussions.
The spreading of misinformation online
Significance The wide availability of user-provided content in online social media facilitates the aggregation of people around common interests, worldviews, and narratives. However, the World Wide Web is a fruitful environment for the massive diffusion of unverified rumors. In this work, using a massive quantitative analysis of Facebook, we show that information related to distinct narratives––conspiracy theories and scientific news––generates homogeneous and polarized communities (i.e., echo chambers) having similar information consumption patterns. Then, we derive a data-driven percolation model of rumor spreading that demonstrates that homogeneity and polarization are the main determinants for predicting cascades’ size. , The wide availability of user-provided content in online social media facilitates the aggregation of people around common interests, worldviews, and narratives. However, the World Wide Web (WWW) also allows for the rapid dissemination of unsubstantiated rumors and conspiracy theories that often elicit rapid, large, but naive social responses such as the recent case of Jade Helm 15––where a simple military exercise turned out to be perceived as the beginning of a new civil war in the United States. In this work, we address the determinants governing misinformation spreading through a thorough quantitative analysis. In particular, we focus on how Facebook users consume information related to two distinct narratives: scientific and conspiracy news. We find that, although consumers of scientific and conspiracy stories present similar consumption patterns with respect to content, cascade dynamics differ. Selective exposure to content is the primary driver of content diffusion and generates the formation of homogeneous clusters, i.e., “echo chambers.” Indeed, homogeneity appears to be the primary driver for the diffusion of contents and each echo chamber has its own cascade dynamics. Finally, we introduce a data-driven percolation model mimicking rumor spreading and we show that homogeneity and polarization are the main determinants for predicting cascades’ size.
The Server Called Paranoia: Defend Autistici/Inventati
For twenty-five years, an Italian hacker collective has built communications infrastructure designed to survive censorship, surveillance and police raids. On August 26, the United States designated it a terrorist organization. On September 25, the wind-down period ends.
Social Media Effects: Hijacking Democracy and Civility in Civic Engagement
Perceived as an equalizing force for disenfranchised individuals without a voice, the importance of social networks as agents of change cannot be ignored. However, in some societies, social networks have evolved into a platform for fake news and propaganda, empowering disruptive voices, ideologies, and messages. Social networks such as Twitter, Facebook, and Google hold the potential to alter civic engagement, thus essentially hijacking democracy, by influencing individuals toward a particular way of thinking.
What happened to the fight for the Internet? -- Dustycloud Brainstorms
At the moment I am writing this, bad internet bills are being proposed across the US, Canada, Europe, and the UK. They're using the usual tactics: they claim they're fighting for kids or fighting security risks, but in general, that's what surveillance and censorship bills have always claimed.
“No One’s Coming to Save Us. Why Communities Must Build Their Own Internet” -Rudy Fraser, Blacksky
‘Blueskyism’, Political Violence, and Open Social Networks Under Authoritarianism
After Kirk's murder, calls for censorship and the crackdown on political places started to include Bluesky. Open social networks must now fight political suppression as well as platform monopolies.
The Algorithmic Management of Polarization and Violence on Social Media
Access the PDF version of this essay by clicking the icon to the right.
How Cartels are Adopting Drone Tactics from Ukraine
This article explores how FPV drone tactics, foreign volunteer forces, and transnational criminal networks reshape global security.
Aral Balkan (@aral@mastodon.ar.al)
Attached: 1 image Needless to say, do not sign up for W or give them your ID information no matter how simple they eventually manage to make it. You simply don’t need to. You’re already in a far superior – non-corporate, federated – space. Do not sign up for W. And warn your friends. The only time you have any power to stop this is now. If they succeed in gaining network effects, you will be as powerless to stop them as you are with X. And yes, they’re just another venture capital funded surveillance capitalist, people farmer, and burgeoning Nazi Bar. They just happen to be based in the EU. (As Nazi Bars traditionally have been.) #WSocial #NoWNoX #surveillance #capitalism #BigTech #VC @_elena@mastodon.social https://mastodon.social/@_elena/116770291207686239
CBI dismantles transnational cybercrime networks across multiple States
CBI dismantles transnational cybercrime networks, arresting two operatives in collaboration with international law enforcement agencies.
