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Found 17 papers, 4 papers with code
Developing A Multilabel Corpus for the Quality Assessment of Online Political Talk
This paper motivates and presents the Twitter Deliberative Politics dataset, a corpus of political tweets labeled for its deliberative characteristics.
PHAnToM: Personality Has An Effect on Theory-of-Mind Reasoning in Large Language Models
Drawing inspiration from psychological research on the links between certain personality traits and Theory-of-Mind (ToM) reasoning, and from prompt engineering research on the hyper-sensitivity of prompts in affecting LLMs capabilities, this study investigates how inducing personalities in LLMs using prompts affects their ToM reasoning capabilities.
Auditing Counterfire: Evaluating Advanced Counterargument Generation with Evidence and Style
We audited large language models (LLMs) for their ability to create evidence-based and stylistic counter-arguments to posts from the Reddit ChangeMyView dataset.
It Takes Two to Negotiate: Modeling Social Exchange in Online Multiplayer Games
We annotated a dataset of over 10, 000 chat messages for different negotiation strategies and empirically examined their importance in predicting long- and short-term game outcomes.
LLMs and Finetuning: Benchmarking cross-domain performance for hate speech detection
To answer (2), we assessed the performance of 288 out-of-domain classifiers for a given end-domain dataset.
Predicting Sentence-Level Factuality of News and Bias of Media Outlets
Automated news credibility and fact-checking at scale require accurately predicting news factuality and media bias.
Using Graph-Aware Reinforcement Learning to Identify Winning Strategies in Diplomacy Games (Student Abstract)
We developed a two-tier approach that first encodes sociolinguistic behavior as linguistic features then use reinforcement learning to estimate the advantage afforded to any player.
Social Media Reveals Urban-Rural Differences in Stress across China
This paper studies linguistic differences in the experiences and expressions of stress in urban-rural China from Weibo posts from over 65, 000 users across 329 counties using hierarchical mixed-effects models.
WikiTalkEdit: A Dataset for modeling Editors' behaviors on Wikipedia
We show how the data supports the classic understanding of style matching, where positive emotion and the use of first-person pronouns predict a positive emotional change in a Wikipedia contributor.
The CL-SciSumm Shared Task 2018: Results and Key Insights
This overview describes the official results of the CL-SciSumm Shared Task 2018 -- the first medium-scale shared task on scientific document summarization in the computational linguistics (CL) domain.
Understanding and Measuring Psychological Stress using Social Media
In this paper, we explore the language of psychological stress with a dataset of 601 social media users, who answered the Perceived Stress Scale questionnaire and also consented to share their Facebook and Twitter data.
Identifying Locus of Control in Social Media Language
Individuals express their locus of control, or {``}control{''}, in their language when they identify whether or not they are in control of their circumstances.
Diachronic degradation of language models: Insights from social media
It asks the question: given that the social media platform and its users remain the same, how is language changing over time?
Towards Building Affect sensitive Word Distributions
Our work addresses the question: can affect lexica improve the word representations learnt from a corpus?
Domain Adaptation from User-level Facebook Models to County-level Twitter Predictions
Several studies have demonstrated how language models of user attributes, such as personality, can be built by using the Facebook language of social media users in conjunction with their responses to psychology questionnaires.
