跳到主要內容

簡易檢索 / 詳目顯示

研究生: 張植棻
Chang, Chih-Fen
論文名稱: 臺灣社群媒體反串文的功能維度之多維度分析
A Multidimensional Analysis of functional dimensions in Fan-chuan Wen in Taiwanese social media
指導教授: 張瑜芸
Chang, Yu-Yun
口試委員: 謝舒凱
Hsieh, Shu-Kai
許展嘉
Hsu, Chan-Chia
學位類別: 碩士
Master
系所名稱: 外國語文學院 - 語言學研究所
Graduate Institute of Linguistics
論文出版年: 2026
畢業學年度: 114
語文別: 英文
論文頁數: 78
中文關鍵詞: 反串文角色扮演釣魚行為多維度分析
外文關鍵詞: fan-chuan wen, role play, trolling, Multidimensional Analysis
相關次數: 點閱:8下載:0
分享至:
查詢本校圖書館目錄 查詢臺灣博碩士論文知識加值系統 勘誤回報
  • 反串文是近年臺灣社群媒體中興起的一種新興網路語篇形式,然而目前在語言學研究中仍缺乏系統性的探討。反串文作為一種基於立場表演的角色扮演,經常與釣魚行為有所關聯。本研究以 Biber (1988) 的多維度分析為理論框架,探討反串文中語言特徵的共現關係,並分析其所反映的語篇功能與內部語言變異。研究資料為 Threads 平台上由作者明確標示為反串文的貼文。本研究以 CKIP 詞性標註為基礎,並針對中文文本特性調整 Biber 的語言特徵系統,建立 46 項語法與語用特徵。本研究以特徵是否出現作為編碼依據,其後透過多重對應分析萃取文本中的潛在維度,並採用 Benzecri (1992) 修正法估計解釋變異量。研究結果顯示,反串文主要呈現三個功能維度:(1)資訊詳述與精簡表達之對立、(2)陳述性表達與互動性挑釁之對立,以及(3)人際立場與量化資訊之對立。整體而言,反串文傾向使用較高互動性與立場導向的語言特徵,並呈現連續且內部多樣的語言變異。本研究除展現多維度分析應用於中文社群短文本分析的可行性外,也顯示其可進一步應用於其他新興網路語篇類型之研究。


    Fan-chuan wen is an emerging form of online discourse in Taiwanese social media that remains underexplored in linguistic research. As a form of stance-based role play, fan-chuan wen is often associated with trolling. Using Biber's (1988) Multidimensional Analysis (MDA), this study examines the co-occurrence of linguistic features in fan-chuan wen and explores the discourse functions and internal linguistic variation. The dataset consists of Threads posts explicitly marked as fan-chuan wen by their authors. Based on CKIP POS tags, Biber's linguistic features were adapted for Chinese, resulting in 46 grammatical and pragmatic features. Features were encoded according to their presence in each text, and Multiple Correspondence Analysis (MCA) was applied to extract the underlying dimensions. The explained variance was estimated using Benzecri's (1992) correction. Three primary dimensions were identified: (1) Informational Elaboration vs. Condensed Expression, (2) Declarative Statement vs. Interactive Challenge, and (3) Interpersonal Stance vs. Quantified Information. Overall, fan-chuan wen tends to favour interactive and stance-oriented linguistic features while exhibiting continuous and internally diverse patterns of linguistic variation. This study demonstrates the applicability of MDA to Chinese social media short texts and its potential for investigating other emerging forms of online discourse.

    1 Introduction 1
    1.1 Research Background 1
    1.2 Research Gap and Motivation 5
    1.3 Analytical Framework: Multidimensional Analysis (MDA) 6
    1.4 Research Objectives and Questions 7
    1.5 Organization of the Study 8
    2 Literature Review 9
    2.1 Fan-chuan Wen 9
    2.1.1 Role Play 9
    2.1.2 Trolling 10
    2.1.3 Interim Summary 12
    2.2 Multidimensional Analysis 13
    2.2.1 Overview of MDA 13
    2.2.2 Variants and Applications of MDA 14
    3 Methodology 19
    3.1 Data Description 21
    3.1.1 Dataset 21
    3.1.2 Data Preprocessing 22
    3.2 Linguistic Feature Definition and Extraction 23
    3.2.1 Feature Set Definition 23
    3.2.2 Feature Extraction 25
    3.3 Extraction and Interpretation of Dimensions 32
    3.3.1 MCA Factor Extraction 32
    3.3.2 Dimension Interpretation 33
    4 Results and Discussion 37
    4.1 Overall Patterns 37
    4.2 Functional Interpretation of Extracted Dimensions 39
    4.2.1 Dimension 1: Informational Elaboration vs. Condensed Expression 40
    4.2.2 Dimension 2: Declarative Statement vs. Interactive Challenge 44
    4.2.3 Dimension 3: Interpersonal Stance vs. Quantified Information 48
    4.3 Interim Summary 52
    5 Conclusions 55
    5.1 Summary of the Study 55
    5.2 Contributions and Applications 56
    5.3 Limitations and Future Work 57
    References 59
    Appendix A. Linguistic feature set 65
    Appendix B. Mapping between CKIP tags and Biber's linguistic features 69
    Appendix C. Feature refinement based on CKIP tags 71
    Appendix D. Prompt template 73
    Appendix E. Definitions of linguistic features used for LLM-based annotation 77

    Abdi, H., & Valentin, D. (2007). Multiple correspondence analysis. Encyclopedia of measurement and statistics, 2(4), 651–657.
    Abdi, H., & Williams, L. J. (2010). Principal component analysis. Wiley interdisciplinary reviews: computational statistics, 2(4), 433–459.
    Abhilash, B., Abraham, S. M., & Narayanan, N. (2024). Instagram threads: A study on the user’s perspective of the app. 2024 1st International Conference On Trends In Engineering Systems And Technologies (Ictest), 1–6.
    Addawood, A., Badawy, A., Lerman, K., & Ferrara, E. (2019). Linguistic cues to deception: Identifying political trolls on social media. Proceedings of the international AAAI conference on web and social media, 13, 15–25.
    Al-Surmi, M. (2012). Authenticity and tv shows: A multidimensional analysis perspective. Tesol Quarterly, 46(4), 671–694.
    Anolli, L., Ciceri, R., & Infantino, M. G. (2002). Behind dark glasses: Irony as a strategy for indirect communication. Genetic, social, and general psychology monographs, 128(1), 76.
    Attardo, S. (2000). Irony as relevant inappropriateness. Journal of pragmatics, 32(6), 793–826.
    Benzecri. (1992, January). Correspondence Analysis Handbook. https:// doi. org/ 10.1201/9780585363035
    Biber, D. (1988, October). Variation across Speech and Writing. https:// doi. org/ 10.1017/cbo9780511621024
    Biber, D. (1993). Representativeness in corpus design. Literary and linguistic computing, 8(4), 243–257.
    Biber, D. (1995). Dimensions of register variation: A cross-linguistic comparison. Cambridge University Press.
    Biber, D. (2004). Conversation text types: A multi-dimensional analysis. Le poids des mots: Proceedings of the 7th International Conference on the Statistical Analysis of Textual Data, 15–34.
    Biber, D., Conrad, S., & Reppen, R. (1998). Corpus linguistics: Investigating language structure and use. Cambridge University Press.
    Biber, D., & Egbert, J. (2018). Register variation on the web. Cambridge University Press.
    Bonifazi, G., Buratti, C., Corradini, E., Marchetti, M., Parlapiano, F., Ursino, D., & Virgili, L. (2025). Defining, detecting, and characterizing power users in threads. Big Data and Cognitive Computing, 9(3), 69.
    Bowman, S. L. (2010). The functions of role-playing games: How participants create community, solve problems and explore identity. McFarland.
    Calzada-Pérez, M., & Ramos, M. d. M. S. (2021). Mda analysis of translated and nontranslated parliamentary discourse. In Corpus exploration of lexis and discourse in translation (pp. 26–55). Routledge.
    Clarke, I. (2018). Stylistic variation in twitter trolling. In Online harassment (pp. 151–178). Springer.
    Clarke, I. (2019). Functional linguistic variation in twitter trolling. The International Journal of Speech, Language and the Law, 26(1), 57–84.
    Clarke, I. (2022). A multi-dimensional analysis of english tweets. Language and Literature, 31(2), 124–149.
    Connolly, P. J. (2022). Trolling as speech act. Journal of Social Philosophy, 53(3), 404–420.
    Du Bois, J. W. (2008). The stance triangle. In Stancetaking in discourse: Subjectivity, evaluation, interaction (pp. 139–182). John Benjamins Publishing Company.
    Dynel, M. (2018). Irony, deception and humour: Seeking the truth about overt and covert untruthfulness (Vol. 21). Walter de Gruyter GmbH & Co KG.
    Egbert, J., & Biber, D. (2018). Do all roads lead to rome?: Modeling register variation with factor analysis and discriminant analysis. Corpus Linguistics and Linguistic Theory, 14(2), 233–273.
    Elder, C.-H. (2024). Pragmatic inference: Misunderstandings, accountability, deniability. Cambridge University Press.
    Giora, R. (1995). On irony and negation. Discourse processes, 19(2), 239–264.
    Giora, R., Fein, O., & Schwartz, T. (1998). Irony: Grade salience and indirect negation. Metaphor and symbol, 13(2), 83–101.
    Goffman, E. (2023). The presentation of self in everyday life. In Social theory re-wired (pp. 450–459). Routledge.
    Grice, H. P. (1975). Logic and conversation. Syntax and semantics, 3, 43–58.
    Hardaker, C. (2010). Trolling in asynchronous computer-mediated communication: From user discussions to academic definitions. Journal of politeness research, 6(2), 215–242.
    Hardaker, C. (2013). “uh.... not to be nitpicky, but…the past tense of drag is dragged, not drug.”: An overview of trolling strategies. Journal of Language Aggression and Conflict, 1(1), 58–86.
    Huang, Y., & Ren, W. (2020). A novel multidimensional analysis of writing styles of editorials from china daily and the new york times. Lingua, 235, 102781.
    Ivanko, S. L., & Pexman, P. M. (2003). Context incongruity and irony processing. Discourse processes, 35(3), 241–279.
    Jolliffe, I. T., & Cadima, J. (2016). Principal component analysis: A review and recent developments. Philosophical transactions of the royal society A: Mathematical, Physical and Engineering Sciences, 374(2065), 20150202.
    Kantar Taiwan. (2025). Threads usage and awareness report in taiwan. https://kantar.com.tw/News_detail.php?nid=363
    Kreuz, R. (2020, February). Irony and sarcasm. https://doi.org/10.7551/mitpress/12503.001.0001
    Kreuz, R. J., & Roberts, R. M. (1995). Two cues for verbal irony: Hyperbole and the ironic tone of voice. Metaphor and symbol, 10(1), 21–31.
    Ladousse, G. P. (1987). Role play (Vol. 3). Oxford University Press.
    Le Roux, B., & Rouanet, H. (2010). Multiple correspondence analysis (Vol. 163). Sage.
    Lestari, D. W., & Ambarwati, R. (2024). Social network analysis: Understanding user behavior in threads. Kontigensi: Jurnal Ilmiah Manajemen, 12(1), 115–124.
    Li, L. H. (2025). Intersubjectivity and co-constructed framings: Students’role-play talks in online english-speaking sessions. Frontiers in Psychology, 15, 1499192.
    Liu, K.-L. (2022). Stylistic variation in mandarin based on factor and correspondence analyses. 臺大華語文學習與科技, 2(2), 59–109.
    Maier, H. W. (2002). Role playing: Structures and educational objectives. The International Child and Youth Care Network, 36.
    Market Intelligence & Consulting Institute (MIC). (2024). Taiwan social media usage survey 2024. Institute for Information Industry. https://mic.iii. org.tw/ news.aspx?id=744&List=5
    McClellan, A. (2013). A case of identity: Role playing, social media and bbc sherlock. Journal of Fandom Studies, 1(2), 139–157.
    Ministry of Education. (2021). 重編國語辭典修訂本. https://dict.revised.moe.edu.tw/index.jsp
    Montola, M. (2008). The invisible rules of role-playing the social framework of roleplaying process. International journal of role-playing, (1), 22–36.
    Ningsih, T. W. R., & Adani, F. N. (2022). Interpersonal communication patterns and communication barriers to roleplay couples on social media. Journal of Digital Media Communication, 1(1), 40–49.
    Nugraha, R. (2020). Establishment of role-player as a virtual identity in twitter social media. B-SPACE 2019: Proceedings of the First Brawijaya International Conference on Social and Political Sciences, BSPACE, 26-28 November, 2019, Malang, East Java, Indonesia, 469.
    Omidian, T., Siyanova-Chanturia, A., & Biber, D. (2021). A new multidimensional model of writing for research publication: An analysis of disciplinarity, intratextual variation, and l1 versus lx expert writing. Journal of English for Academic Purposes, 53, 101020.
    Passonneau, R. J., Ide, N., Su, S., & Stuart, J. (2014). Biber redux: Reconsidering dimensions of variation in american english. Proceedings of COLING 2014, the 25th international conference on computational linguistics: Technical papers, 565–576.
    Peterson, M. (2012). Learner interaction in a massively multiplayer online role playing game (mmorpg): A sociocultural discourse analysis. ReCALL, 24(3), 361–380.
    PTT 鄉民百科. (n.d.). 反串文. https://pttpedia.fandom.com/zh/wiki/反%E4%B8%B2%E6%96%87
    Rao, D., & Stupans, I. (2012). Exploring the potential of role play in higher education: Development of a typology and teacher guidelines. Innovations in Education and Teaching International, 49(4), 427–436.
    Rey, J. M. (2014). Changing gender roles in popular culture: Dialogue in star trek episodes from 1966 to 1993. In Variation in english (pp. 139–156). Routledge.
    Sardinha, T. B. (2024). Ai-generated vs human-authored texts: A multidimensional comparison. Applied Corpus Linguistics, 4(1), 100083.
    Song, J., Qu, Y., Zhu, X., Wang, X., & Zhang, Y. (2021). A multi-dimensional approach to register variations in mandarin chinese. Glottometrics, 51, 39–69.
    Sperber, D., & Wilson, D. (1986). Relevance: Communication and cognition (Vol. 142). Harvard University Press Cambridge, MA.
    Thompson, P., Hunston, S., Murakami, A., & Vajn, D. (2017). Multi-dimensional analysis, text constellations, and interdisciplinary discourse. International Journal of Corpus Linguistics, 22(2), 153–186.
    Wilson, D., & Sperber, D. (1992). On verbal irony. Lingua, 87(1), 53–76.
    Yu, D., Li, L., Su, H., & Fuoli, M. (2024). Assessing the potential of llm-assisted annotation for corpus-based pragmatics and discourse analysis: The case of apology. International Journal of Corpus Linguistics, 29(4), 534–561.
    Zhang, P., He, Y., Haq, E.-U., He, J., & Tyson, G. (2024). The emergence of threads: The birth of a new social network. International Conference on Advances in Social Networks Analysis and Mining, 69–78.
    Zhang, Z.-S. (2012). A corpus study of variation in written chinese. Corpus Linguistics & Linguistic Theory, 8(1).

    無法下載圖示 全文公開日期 2031/07/02
    QR CODE
    :::