"Feel sorry for Miss translator!!!": A danmu-based case study of Bilibili users' parasocial interactions about the ad hoc interpreter on screen.
Published In: Interpreting: International Journal of Research & Practice in Interpreting, 2023, v. 25, n. 1. P. 61 1 of 3
Database: Academic Search Ultimate 2 of 3
Authored By: Yang, Yuhong 3 of 3
Abstract
This article approaches user reception of interpreting events by investigating video users' parasocial interactions about a specific interpreter on the danmu interface. The video of Chinese athlete Sun Yang's public hearing (facilitated by an ad hoc interpreter) hosted on the Chinese video-sharing site, Bilibili, was chosen as a case study. Proceeding from an adapted parasocial interaction framework that features nine underlying parasocial processes, this study categorizes and analyses users' danmu comments directed at the interpreter, mainly qualitatively but also quantitatively. It also examines them as manifestations or verbalizations of their parasocial interactions with the interpreter on screen in cognitive and affective dimensions. The findings show users' noticeable preference for engaging in evaluation- and comprehension-oriented interactions and expressing their sympathy and empathy towards the interpreter. The findings also show that the parasocial interaction framework usefully accommodates a plethora of user reactions to the interpreter and their performance and offers a way of investigating relevant utterances systematically in a seemingly chaotic danmu space. [ABSTRACT FROM AUTHOR]
Additional Information
- Source:Interpreting: International Journal of Research & Practice in Interpreting. 2023/01, Vol. 25, Issue 1, p61
- Document Type:Article
- Subject Area:Social Sciences and Humanities
- Publication Date:2023
- ISSN:1384-6647
- DOI:10.1075/intp.00086.yan
- Accession Number:161829086
- Copyright Statement:Copyright of Interpreting: International Journal of Research & Practice in Interpreting is the property of John Benjamins Publishing Co. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Looking to go deeper into this topic? Look for more articles on EBSCOhost.