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Found 7 papers, 4 papers with code
Factuality Challenges in the Era of Large Language Models
The emergence of tools based on Large Language Models (LLMs), such as OpenAI's ChatGPT, Microsoft's Bing Chat, and Google's Bard, has garnered immense public attention.
REMOD: Relation Extraction for Modeling Online Discourse
Unfortunately, the semi-structured nature of much of this data presents significant challenges when it comes to modeling and reasoning about online discourse.
HONEM: Learning Embedding for Higher Order Networks
Representation learning on networks offers a powerful alternative to the oft painstaking process of manual feature engineering, and as a result, has enjoyed considerable success in recent years.
Finding Streams in Knowledge Graphs to Support Fact Checking
The volume and velocity of information that gets generated online limits current journalistic practices to fact-check claims at the same rate.
The spread of low-credibility content by social bots
Communication, cognitive, social, and computer scientists are engaged in efforts to study the complex causes for the viral diffusion of misinformation online and to develop solutions, while search and social media platforms are beginning to deploy countermeasures.
Social and Information Networks Computers and Society Physics and Society
Gendered Conversation in a Social Game-Streaming Platform
Our findings suggest that disparities in social game-streaming platforms is a nuanced phenomenon that involves the gender of streamers as well as those who produce gendered and game-related conversation.
Information Overload in Group Communication: From Conversation to Cacophony in the Twitch Chat
Our analysis reveals the existence of a transition from a conversational state to a cacophony --- a state of overload with lower user participation, more copy-pasted messages, and less information per message.
Social and Information Networks Human-Computer Interaction Physics and Society
