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Zeyu Lyu

Biographic Data

ID3581647
NAMEZeyu Lyu
GIVEN NAMESZeyu
FAMILY NAMELyu
SIGNATURELYU Z
AFFILIATIONSTohoku University
ORCID0000-0002-4665-9658
VERIFIEDYes
TOTAL WORKS4
TOTAL CITATIONS24
WORKS AS AUTHOR4
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2020
LATEST PUBLICATION YEAR2026
H-INDEX2
  • How Students Prompt in LLM‐Assisted Translation

    Open Access•Chenjing Li, Zeyu Lyu et al.•ARTICLE•International Journal of Applied…•2026

    Large language models (LLMs) are reshaping translation workflows, yet empirical evidence on student‐LLM interaction in authentic translation tasks remains limited. This study analyzes interaction logs from 33 Chinese EFL graduate students who completed a Classical Chinese‐to‐English translation on a custom‐built platform, yielding 133 prompts and corresponding model outputs. Through expert coding, we developed a task‐specific taxonomy of learners…

  • How Empathy and Partisanship Affected Attitude Changes Following the Assassination of Shinzo Abe

    Open Access•Zeyu Lyu, Susumu Cato•ARTICLE•Public Opinion Quarterly•2026•References: 28

    Shinzo Abe, the longest-serving prime minister in Japan’s postwar history, was assassinated on July 8, 2022, triggering widespread social reactions and shifts in public opinion. This study investigates the effects of the assassination on attitudes toward Abe using panel data from before and after the assassination. Our results suggest that, overall, attitudes toward Abe significantly improved after the assassination, and that the extent of attitu…

  • Cross-cutting interaction, inter-party hostility, and partisan identity

    Open Access•Zeyu Lyu•ARTICLE•New Media & Society•2023•Cited by: 4•References: 26

    This study utilizes social media data and deep-learning-based text classification methods to investigate cross-cutting interactions on social media. Our findings reveal that people are more likely to use offensive speech in response to content published by opposing partisans. Furthermore, we demonstrate how inter-party hostility is associated with the partisan identity of both the message sender and the target in the interaction. On one hand, the…

  • Trust, risk perception, and Covid-19 infections

    Open Access•Maoxin Ye, Zeyu Lyu•ARTICLE•Social Science & Medicine•2020•Cited by: 20•References: 35

  • Trust, risk perception, and Covid-19 infections

    Open Access•Maoxin Ye, Zeyu Lyu•ARTICLE•Social Science & Medicine•2020•Cited by: 20•References: 35

  • Cross-cutting interaction, inter-party hostility, and partisan identity

    Open Access•Zeyu Lyu•ARTICLE•New Media & Society•2023•Cited by: 4•References: 26

    This study utilizes social media data and deep-learning-based text classification methods to investigate cross-cutting interactions on social media. Our findings reveal that people are more likely to use offensive speech in response to content published by opposing partisans. Furthermore, we demonstrate how inter-party hostility is associated with the partisan identity of both the message sender and the target in the interaction. On one hand, the…

  • Trust, risk perception, and Covid-19 infections

    Open Access•Maoxin Ye, Zeyu Lyu•ARTICLE•Social Science & Medicine•2020•Cited by: 20•References: 35

  • Cross-cutting interaction, inter-party hostility, and partisan identity

    Open Access•Zeyu Lyu•ARTICLE•New Media & Society•2023•Cited by: 4•References: 26

    This study utilizes social media data and deep-learning-based text classification methods to investigate cross-cutting interactions on social media. Our findings reveal that people are more likely to use offensive speech in response to content published by opposing partisans. Furthermore, we demonstrate how inter-party hostility is associated with the partisan identity of both the message sender and the target in the interaction. On one hand, the…

  • How Students Prompt in LLM‐Assisted Translation

    Open Access•Chenjing Li, Zeyu Lyu et al.•ARTICLE•International Journal of Applied…•2026

    Large language models (LLMs) are reshaping translation workflows, yet empirical evidence on student‐LLM interaction in authentic translation tasks remains limited. This study analyzes interaction logs from 33 Chinese EFL graduate students who completed a Classical Chinese‐to‐English translation on a custom‐built platform, yielding 133 prompts and corresponding model outputs. Through expert coding, we developed a task‐specific taxonomy of learners…

  • How Empathy and Partisanship Affected Attitude Changes Following the Assassination of Shinzo Abe

    Open Access•Zeyu Lyu, Susumu Cato•ARTICLE•Public Opinion Quarterly•2026•References: 28

    Shinzo Abe, the longest-serving prime minister in Japan’s postwar history, was assassinated on July 8, 2022, triggering widespread social reactions and shifts in public opinion. This study investigates the effects of the assassination on attitudes toward Abe using panel data from before and after the assassination. Our results suggest that, overall, attitudes toward Abe significantly improved after the assassination, and that the extent of attitu…

Misinformation and Its Impacts (2 works) · Political science (2 works) · Psychology (2 works) · Social Psychology (2 works) · Social Psychology (2 works) · Survey data collection (2 works) · Adaptation (eye (1 work) · Attitude (1 work) · Attitude change (1 work) · Biology (1 work)

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