Month: August 2023

Discovering the mesoscale for chains of conflict

Niraj Kushwaha, Edward D Lee 
PNAS Nexus, Volume 2, Issue 7, July 2023, pgad228

Conflicts, like many social processes, are related events that span multiple scales in time, from the instantaneous to multi-year development, and in space, from one neighborhood to continents. Yet, there is little systematic work on connecting the multiple scales, formal treatment of causality between events, and measures of uncertainty for how events are related to one another. We develop a method for extracting causally related chains of events that addresses these limitations with armed conflict. Our method explicitly accounts for an adjustable spatial and temporal scale of interaction for clustering individual events from a detailed data set, the Armed Conflict Event & Location Data Project. With it, we discover a mesoscale ranging from a week to a few months and tens to hundreds of kilometers, where long-range correlations and nontrivial dynamics relating conflict events emerge. Importantly, clusters in the mesoscale, while extracted from conflict statistics, are identifiable with mechanism cited in field studies. We leverage our technique to identify zones of causal interaction around conflict hotspots that naturally incorporate uncertainties. Thus, we show how a systematic, data-driven, and scalable procedure extracts social objects for study, providing a scope for scrutinizing and predicting conflict and other processes.

Read the full article at: academic.oup.com

Terrorist attacks sharpen the binary perception of “Us” vs. “Them”

Milan Jović, Lovro Šubelj, Tea Golob, Matej Makarovič, Taha Yasseri, Danijela Boberić Krstićev, Srdjan Škrbić & Zoran Levnajić
Scientific Reports volume 13, Article number: 12451 (2023)

Terrorist attacks not only harm citizens but also shift their attention, which has long-lasting impacts on public opinion and government policies. Yet measuring the changes in public attention beyond media coverage has been methodologically challenging. Here we approach this problem by starting from Wikipedia’s répertoire of 5.8 million articles and a sample of 15 recent terrorist attacks. We deploy a complex exclusion procedure to identify topics and themes that consistently received a significant increase in attention due to these incidents. Examining their contents reveals a clear picture: terrorist attacks foster establishing a sharp boundary between “Us” (the target society) and “Them” (the terrorist as the enemy). In the midst of this, one seeks to construct identities of both sides. This triggers curiosity to learn more about “Them” and soul-search for a clearer understanding of “Us”. This systematic analysis of public reactions to disruptive events could help mitigate their societal consequences.

Read the full article at: www.nature.com

Anatomy of an AI-powered malicious social botnet

Large language models (LLMs) exhibit impressive capabilities in generating
realistic text across diverse subjects. Concerns have been raised that they
could be utilized to produce fake content with a deceptive intention, although
evidence thus far remains anecdotal. This paper presents a case study about a
Twitter botnet that appears to employ ChatGPT to generate human-like content.
Through heuristics, we identify 1,140 accounts and validate them via manual
annotation. These accounts form a dense cluster of fake personas that exhibit
similar behaviors, including posting machine-generated content and stolen
images, and engage with each other through replies and retweets.
ChatGPT-generated content promotes suspicious websites and spreads harmful
comments. While the accounts in the AI botnet can be detected through their
coordination patterns, current state-of-the-art LLM content classifiers fail to
discriminate between them and human accounts in the wild. These findings
highlight the threats posed by AI-enabled social bots.

Read the full article at: arxiv.org

Elements and Relations: Aspects of a Scientific Metaphysics

This textbook is built around the central proposition that systems theory is an attempt to construct an “exact and scientific metaphysics” (an ESM).

Read the full article at: link.springer.com