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Found 12 papers, 1 papers with code
The Persuasive Power of Large Language Models
The increasing capability of Large Language Models to act as human-like social agents raises two important questions in the area of opinion dynamics.
Dream Content Discovery from Reddit with an Unsupervised Mixed-Method Approach
Going beyond traditional scales, our method can find unique patterns in different dream types (like nightmares or recurring dreams), understand topic importance and connections, and observe changes in collective dream experiences over time and around major events, like the COVID-19 pandemic and the recent Russo-Ukrainian war.
The Parrot Dilemma: Human-Labeled vs. LLM-augmented Data in Classification Tasks
In the realm of Computational Social Science (CSS), practitioners often navigate complex, low-resource domains and face the costly and time-intensive challenges of acquiring and annotating data.
Heterogeneous rarity patterns drive price dynamics in NFT collections
We quantify Non Fungible Token (NFT) rarity and investigate how it impacts market behaviour by analysing a dataset of 3. 7M transactions collected between January 2018 and June 2022, involving 1. 4M NFTs distributed across 410 collections.
Epidemic Dreams: Dreaming about health during the COVID-19 pandemic
Given the unprecedented nature of the experiences during COVID-19, we studied the continuity hypothesis in the context of the pandemic.
Mapping the NFT revolution: market trends, trade networks and visual features
Non Fungible Tokens (NFTs) are digital assets that represent objects like art, collectible, and in-game items.
The Healthy States of America: Creating a Health Taxonomy with Social Media
We validated the structure of our taxonomy against the official International Statistical Classification of Diseases and Related Health Problems (ICD-11), finding matches of our clusters with 20 official categories, out of 22.
The Language of Dialogue Is Complex
Integrative Complexity (IC) is a psychometric that measures the ability of a person to recognize multiple perspectives and connect them, thus identifying paths for conflict resolution.
Anticipating cryptocurrency prices using machine learning
Machine learning and AI-assisted trading have attracted growing interest for the past few years.
Portrait of an Online Shopper: Understanding and Predicting Consumer Behavior
Linking online shopping to income, we find that shoppers from more affluent areas purchase more expensive items and buy them more frequently, resulting in significantly more money spent on online purchases.
Social and Information Networks Computers and Society
Smelly Maps: The Digital Life of Urban Smellscapes
We match those tags and tweets with the words in the smell dictionary.
Social and Information Networks Computers and Society
People are Strange when you're a Stranger: Impact and Influence of Bots on Social Networks
Bots are, for many Web and social media users, the source of many dangerous attacks or the carrier of unwanted messages, such as spam.
