A paper on arXiv introduces ISAAC, an open corpus of 527M+ English-language Reddit posts relevant to six social group distinctions, spanning 2007–2023. Posts carry algorithmic annotations for region, sentiment, moralization, and more, with human-audited filtering keeping irrelevant content below 10%. Access is provided via no-code web apps, SQL, a Python package, and HuggingFace, enabling large-scale replication and cross-category analysis of social discourse.
A new arXiv paper introduces SCOPE, a dataset that links stigma signals in online sexual violence survivor narratives to support types in Reddit comment threads. The work annotates posts using a multi-dimensional stigma taxonomy and comments for support, enabling study of how stigma relates to support.
A new arXiv paper introduces SCOPE, a dataset that links stigma signals in online sexual violence survivor narratives to support types in Reddit comment threads. The work annotates posts using a multi-dimensional stigma taxonomy and comments for support, enabling study of how stigma relates to support.
A new arXiv paper applies embedding-based dynamic topic modeling to 12.7 billion Reddit comments from 2006 to 2022, detecting and quantifying topic drift at the comment level. The method uses pretrained language models to generate contextualized semantic embeddings, enabling analysis of semantic drift and discourse evolution in embedding space.
A new arXiv paper applies embedding-based dynamic topic modeling to 12.7 billion Reddit comments from 2006 to 2022, detecting and quantifying topic drift at the comment level. The method uses pretrained language models to generate contextualized semantic embeddings, enabling analysis of semantic drift and discourse evolution in embedding space.
A new arXiv paper analyzing 6 million Reddit comments from two cross-partisan forums (2019–2025) finds that conservative users' political discourse stopped diversifying around late 2022, while progressive users showed no comparable change. The authors attribute the asymmetry to shared language technology like ChatGPT, though the causal link is debated.
A new arXiv paper analyzing 6 million Reddit comments from two cross-partisan forums (2019–2025) finds that conservative users' political discourse stopped diversifying around late 2022, while progressive users showed no comparable change. The authors attribute the asymmetry to shared language technology like ChatGPT, though the causal link is debated.
Researchers propose TSN4PI, a unified framework for tracking how political ideologies evolve on social media over time. It addresses data scarcity, non-political content, costly annotation, and future inclination modeling using large language models with style transfer and unsupervised domain adaptation.
Researchers propose TSN4PI, a unified framework for tracking how political ideologies evolve on social media over time. It addresses data scarcity, non-political content, costly annotation, and future inclination modeling using large language models with style transfer and unsupervised domain adaptation.
A Reddit user describes a complete workflow transformation centered on markdown files and AI agents. They maintain a master .md for their entrepreneurial journey and separate files for work roles, projects, and budgets, with agents automating common tasks. The post reflects a growing trend of developers structuring their lives around plain-text files and AI integration.
A Reddit user describes a complete workflow transformation centered on markdown files and AI agents. They maintain a master .md for their entrepreneurial journey and separate files for work roles, projects, and budgets, with agents automating common tasks. The post reflects a growing trend of developers structuring their lives around plain-text files and AI integration.