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cs.SI2023
Investigating Quantitative-Qualitative Topical Preference: A Comparative Study of Early and Late Engagers in Japanese ChatGPT Conversations
Tomoki Fukuma, Koki Noda, Yuta Yamamoto +5
This study investigates engagement patterns related to OpenAI's ChatGPT on Japanese Twitter, focusing on two distinct user groups - early and late engagers, inspired by the Innovat…
cs.SI2022★ 1 cited
How Many Tweets DoWe Need?: Efficient Mining of Short-Term Polarized Topics on Twitter: A Case Study From Japan
Tomoki Fukuma, Koki Noda, Hiroki Kumagai +5
In recent years, social media has been criticized for yielding polarization. Identifying emerging disagreements and growing polarization is important for journalists to create aler…