TL;DR
Key insights are provided into the adaptability of online platforms for knowledge exchange during societal disruptions, and their possible decline in the age of AI.
I document an ideologically asymmetric break in the pre-existing diversification trend of political discourse, emerging around late 2022, using 6 million Reddit comments from two cross-partisan forums, 2019-2025. Conservative users experienced an interruption of their prior diversification trajectory; progressive users...
This article examines how social trading platforms encourage laypeople to become active investors and traders and to deepen their engagement over time. Extending prior research highlighting the role of cultural narratives and platform design, we show how platforms steer users along engagement pathways, transitioning...
This work sets an LLM-based framework to reveal the narratives of uncertainty drivers in selected monetary policy documents, yielding a Directed Acyclic Graph (DAG) structure featuring causal patterns and their intensities that outperforms deep semantic search models trained on a big central bank corpus and has the adv...
A large-scale empirical analysis of more than 50,000 English-language starter packs and over 600,000 associated users shows that starter packs form a highly interconnected ecosystem with substantial overlap across packs that largely reflects pre-existing communities.
Abstract This paper advances a methodological framework for the study of policy polarization. We conceptualize polarization as the structure of relationships among political and epistemic actors, measurable through the similarity of their policy statements. To generate these relational data, large language models (LLMs...
The results reveal that in the context of Weibo, rumor posts are more likely to have a larger average number of child posts as well as deeper levels of diffusion and stronger betweenness centrality in the context of key posts as compared to posts that are non-rumor in nature.
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