Zobrazeno 1 - 10
of 491
pro vyhledávání: '"Qi Weihong"'
This study seeks to identify and quantify biases in simulating political samples with Large Language Models, specifically focusing on vote choice and public opinion. Using the GPT-3.5-Turbo model, we leverage data from the American National Election
Externí odkaz:
http://arxiv.org/abs/2407.11409
Autor:
Qi, Weihong
This study reevaluates the traditional understanding of the "political resource curse" by examining the unique impact of energy transition metals, specifically cobalt, on local-level conflicts in Africa. Contrary to previous studies that primarily fo
Externí odkaz:
http://arxiv.org/abs/2404.17713
Human vs. LMMs: Exploring the Discrepancy in Emoji Interpretation and Usage in Digital Communication
Leveraging Large Multimodal Models (LMMs) to simulate human behaviors when processing multimodal information, especially in the context of social media, has garnered immense interest due to its broad potential and far-reaching implications. Emojis, a
Externí odkaz:
http://arxiv.org/abs/2401.08212
Autor:
Qi, Weihong
Sentiment analysis, widely critiqued for capturing merely the overall tone of a corpus, falls short in accurately reflecting the latent structures and political stances within texts. This study introduces topic metrics, dummy variables converted from
Externí odkaz:
http://arxiv.org/abs/2310.15429
Understanding the framing of political issues is of paramount importance as it significantly shapes how individuals perceive, interpret, and engage with these matters. While prior research has independently explored framing within news media and by s
Externí odkaz:
http://arxiv.org/abs/2309.09508
As AI systems become increasingly prevalent in various aspects of daily life, gaining a comprehensive understanding of public perception towards these AI systems has become increasingly essential for several reasons such as ethical considerations, us
Externí odkaz:
http://arxiv.org/abs/2307.05809
There is a broad consensus that news media outlets incorporate ideological biases in their news articles. However, prior studies on measuring the discrepancies among media outlets and further dissecting the origins of thematic differences suffer from
Externí odkaz:
http://arxiv.org/abs/2303.15708
Autor:
Ru, Guoliang1 (AUTHOR), Qi, Weihong1,2 (AUTHOR) qiwh216@nwpu.edu.cn, Sun, Shu1 (AUTHOR), Tang, Kewei1 (AUTHOR), Du, Chengfeng1 (AUTHOR), Liu, Weimin1,3 (AUTHOR) wmliu@licp.cas.cn
Publikováno v:
Advanced Science. 9/11/2024, Vol. 11 Issue 34, p1-16. 16p.
Publikováno v:
In Soil Biology and Biochemistry October 2024 197
Publikováno v:
In Journal of Manufacturing Processes 30 August 2024 124:1357-1371