Zobrazeno 1 - 10
of 5 553
pro vyhledávání: '"Kai, Cheng"'
Traditional vertical take-off and landing (VTOL) aircraft can not achieve optimal efficiency for various payload weights and has limited mobility due to its under-actuation. With the thrust-vectoring mechanism, the proposed modular team UAV is fully
Externí odkaz:
http://arxiv.org/abs/2410.03445
The proliferation of misleading visualizations online, particularly during critical events like public health crises and elections, poses a significant risk. This study investigates the capability of GPT-4 models (4V, 4o, and 4o mini) to detect misle
Externí odkaz:
http://arxiv.org/abs/2408.12617
Autor:
Liu, Hou-I, Tseng, Yu-Wen, Chang, Kai-Cheng, Wang, Pin-Jyun, Shuai, Hong-Han, Cheng, Wen-Huang
Despite notable advancements in the field of computer vision, the precise detection of tiny objects continues to pose a significant challenge, largely owing to the minuscule pixel representation allocated to these objects in imagery data. This challe
Externí odkaz:
http://arxiv.org/abs/2406.05755
Autor:
Scarano, Stephen, Vasudevan, Vijayalakshmi, Samory, Mattia, Yang, Kai-Cheng, Yang, JungHwan, Grabowicz, Przemyslaw A.
Social media platforms allow users to create polls to gather public opinion on diverse topics. However, we know little about what such polls are used for and how reliable they are, especially in significant contexts like elections. Focusing on the 20
Externí odkaz:
http://arxiv.org/abs/2405.11146
Publikováno v:
Journal of Online Trust and Safety (2024)
Recent advancements in generative artificial intelligence (AI) have raised concerns about their potential to create convincing fake social media accounts, but empirical evidence is lacking. In this paper, we present a systematic analysis of Twitter (
Externí odkaz:
http://arxiv.org/abs/2401.02627
Autor:
Yang, Kai-Cheng, Varol, Onur, Nwala, Alexander C., Sayyadiharikandeh, Mohsen, Ferrara, Emilio, Flammini, Alessandro, Menczer, Filippo
While social media are a key source of data for computational social science, their ease of manipulation by malicious actors threatens the integrity of online information exchanges and their analysis. In this Chapter, we focus on malicious social bot
Externí odkaz:
http://arxiv.org/abs/2312.17423
Autor:
Duan, Zening, Shao, Anqi, Hu, Yicheng, Lee, Heysung, Liao, Xining, Suh, Yoo Ji, Kim, Jisoo, Yang, Kai-Cheng, Chen, Kaiping, Yang, Sijia
While researchers often study message features like moral content in text, such as party manifestos and social media, their quantification remains a challenge. Conventional human coding struggles with scalability and intercoder reliability. While dic
Externí odkaz:
http://arxiv.org/abs/2312.05990