Expressive Speech Acts and Public Sentiments in Netizen Responses to Political Posts on X

Authors

  • Asy Syams Wahyu Darmawan UIN Maulana Malik Ibrahim Malang, Indonesia
  • Agwin Degaf UIN Maulana Malik Ibrahim Malang, Indonesia
  • Nur Fitria Anggrisia UIN Maulana Malik Ibrahim Malang, Indonesia

DOI:

https://doi.org/10.33394/jollt.v13i2.13167

Keywords:

Expressive speech acts, Digital discourse, Political engagement, Felicity conditions

Abstract

The rise of online platforms like "ð•" (formerly Twitter) has transformed political discourse, where netizens frequently use expressive speech acts to communicate emotions and opinions. This study examines how expressive speech acts are used in netizen comments responding to President Joe Biden's post about U.S. economic growth, focusing on emotional expressions that reflect public sentiment. Through the application of Searle's theory of speech acts and Austin's felicity conditions, the research analyzes 46 comments using content analysis. The findings show a predominant use of literal and direct speech acts to express negative emotions, particularly dissatisfaction with Biden's economic policies. Additionally, the presence of sarcasm and irony demonstrates the complexity of online discourse, where non-literal speech acts convey more nuanced forms of criticism. These insights emphasize the evolving role of digital communication in political engagement and suggest the need for further research on how speech acts shape public opinion.

Author Biographies

Asy Syams Wahyu Darmawan, UIN Maulana Malik Ibrahim Malang

English Literature Department, Faculty of Humanities,UIN Maulana Malik Ibrahim Malang, East Java, Indonesia

Agwin Degaf, UIN Maulana Malik Ibrahim Malang

English Literature Department, Faculty of Humanities,UIN Maulana Malik Ibrahim Malang, East Java, Indonesia

Nur Fitria Anggrisia, UIN Maulana Malik Ibrahim Malang

English Education Department, Faculty of Tarbiyah and Teacher Training, UIN Maulana Malik Ibrahim Malang, Indonesia

References

Al-Shboul, O. K., Al-Khawaldeh, N. N., Hamdan, H. J., & Alqbailat, N. (2024). Macro and micro analysis of motivational speech acts in Biden’s political speech. International Journal of Society, Culture and Language, 12(1), 362–373. https://doi.org/10.22034/ijscl.2024.2016326.3273

Ardi, N., Ahmad, A., Daud, N., & Ismail, N. (2020). Speech act of flaming in Twitter status: Issues and concerns in the Malaysian context. Asian Journal of University Education, 16(4), 109-121. https://doi.org/10.24191/ajue.v16i4.11961

Austin, J. L. (1962). How to do things with words (J. Urmson, Ed.). Oxford University Press.

Brown, G., & Yule, G. (1983). Discourse analysis. Cambridge University Press.

Buder, J., Zimmermann, A., Buttliere, B., Rabl, L., Vogel, M., & Huff, M. (2023). Online interaction turns the congeniality bias into an uncongeniality bias. Psychological Science, 34(10), 1055–1068. https://doi.org/10.1177/09567976231194590

Cutting, J., & Fordyce, K. (2021). Pragmatics: A resource book for students (4th ed.). Routledge.

Das, S., & Goard, J. (2017). How celebrities feed tweeples with personal and promotional tweets: Celebrity Twitter use and audience engagement. In Proceedings of the 8th International Conference (pp. 1-6). https://doi.org/10.1145/3097286.3097316

Dresner, E., & Herring, S. C. (2010). Functions of the nonverbal in CMC: Emoticons and illocutionary force. Communication Theory, 20(3), 249–268. https://doi.org/10.1111/j.1468-2885.2010.01362.x

Dwitama, A. P. J., & Hidayat, S. (2021). Identifikasi ujaran kebencian multilabel pada teks Twitter berbahasa Indonesia menggunakan convolution neural network. Jurnal Sistem Komputer dan Informatika (JSON, 3(2), 117-126. https://doi.org/10.30865/json.v3i2.3610

Epelde, A. A. (2020). The speech act of offering in digital travel advertising in French [El acto de habla oferta en la publicidad digital de viajes en francés]. Anales de Filologia Francesa, 28(1), 249–270. https://doi.org/10.6018/analesff.425521

Fatema, S., Yanbin, L., & Fugui, D. (2022). Social media influence on politicians' and citizens' relationship through the moderating effect of political slogans. Frontiers in Communication, 7, Article 955493. https://doi.org/10.3389/fcomm.2022.955493

GagrÄin, E. (2024). ‘Who, if not me?’ How political self-categorizations shape the meaning of political self-expression on social media as a citizenship norm. Information, Communication & Society, 27(1), 109–125. https://doi.org/10.1080/1369118X.2023.2174792

Garaeva, M., Mullagaliev, N., Akhmetzyanov, I., Garayeva, A., & Kharrasova, E. (2023). Examining the features of using English language to express emotions in a speech text. Journal of Research in Applied Linguistics, 14(3), 80–84. https://doi.org/10.22055/rals.2023.19454

Hanna, N., & Richards, D. (2019). Speech act theory as an evaluation tool for human-agent communication. Algorithms, 12(4), Article 79. https://doi.org/10.3390/A12040079

Hristic, N. D., & Stefanovic, N. (2022). Aspects of security in correlation between the use of public, urban, and virtual spaces. In Fighting for Empowerment in an Age of Violence (pp. 218–237). IGI Global. https://doi.org/10.4018/978-1-6684-4964-6.ch013

Li, W., & Liu, S. (2021, May 28–30). Research on multi-modal hateful meme detection. In Proceedings of the 2nd International Conference on Artificial Intelligence and Information Systems (ICAIIS 2021) (Article No. 3470385). ACM. https://doi.org/10.1145/3469213.3470385

Malave, N., & Dhage, S. N. (2020). Sarcasm detection on Twitter: User behavior approach. In Advances in Intelligent Systems and Computing, 910 (pp. 65–76). Springer. https://doi.org/10.1007/978-981-13-6095-4_5

Melani, M. V., & Utomo, A. P. Y. (2022). Analisis tindak tutur ilokusi akun Baksosapi.gapakemicin dalam unggahan di Instagram (Suatu analisis pragmatik). GHANCARAN: Jurnal Pendidikan Bahasa dan Sastra Indonesia, 3(2), 250-259. https://doi.org/10.19105/ghancaran.v3i2.3528

Ogleznev, V. V. (2022). “Meaning as use,†normative sentences, and illocutionary force [«Значение как употребление», нормативные Ð¿Ñ€ÐµÐ´Ð»Ð¾Ð¶ÐµÐ½Ð¸Ñ Ð¸ Ð¸Ð»Ð»Ð¾ÐºÑƒÑ‚Ð¸Ð²Ð½Ð°Ñ Ñила]. Praxema, (33), 127–134. https://doi.org/10.23951/2312-7899-2022-3-127-134

Palaniammal, A., & Anandababu, P. (2023). Robust sarcasm detection using artificial rabbits optimizer with multilayer convolutional encoder-decoder neural network on social media. SSRG International Journal of Electronics and Communication Engineering, 10(5), 1–13. https://doi.org/10.14445/23488549/IJECE-V10I5P101

Parker, F. (1986). Linguistics for non-linguists. Department of English, Louisiana State University.

Pokhriyal, H., & Jain, G. (2024). Implicit and explicit sarcasm detection via target of offensive language and cognition of logistic Tsallis entropy distribution in social networks. In Proceedings of the 2024 IEEE International Conference on Interdisciplinary Approaches in Technology and Management for Social Innovation (IATMSI 2024) (pp. 1–6). IEEE. https://doi.org/10.1109/IATMSI60426.2024.10503150

Rahardjo, M. (2023). Apa itu kuasi kualitatif? Research Repository Universitas Islam Negeri Maulana Malik Ibrahim.

Rahayu, E. A. P., Degaf, A., & Anggrisia, N. F. (2024). Exploring speech acts in Heidi: An analysis of direct and indirect communication in cinematic dialogue. Journal of Pragmatics Research, 6(2), 148–168. https://doi.org/10.18326/jopr.v6i2.148-168

Rodrigo, S. R. (2020). Expressive speech acts in the social network Facebook [Actos de habla expresivos en la red social Facebook]. Onomazein, 47, 225–239. https://doi.org/10.7764/ONOMAZEIN.47.10

Sarsam, S. M., Al-Samarraie, H., Alzahrani, A. I., & Wright, B. (2020). Sarcasm detection using machine learning algorithms in Twitter: A systematic review. International Journal of Market Research, 62(5), 578–598. https://doi.org/10.1177/1470785320921779

Searle, J. (1969). Speech acts: An essay in the philosophy of language. Cambridge University Press.

Searle, J. R. (1976). A classification of illocutionary acts. Language in Society, 5(1), 1-23. https://doi.org/10.1017/S0047404500006837

Sinnott, R. O., Law, P., Pirkis, J., Too, L. S., Waleem, S., & Wu, A. (2021). Historic Twitter mining: A case study aiming to identify and capture the social media network activities of people who died by suicide. In Proceedings of the IEEE 17th International Conference on eScience (eScience 2021) (pp. 169–176). IEEE. https://doi.org/10.1109/eScience51609.2021.00027

Sugiyono. (2013). Metode penelitian kuantitatif, kualitatif dan R&D. Penerbit Alfabeta.

Voitko, O., & Rakhimov, V. (2023). Analysis of the use of social networks in the interests of conducting an information operation while forecasting the spread of the adversary's information influence. In Theoretical and Applied Aspects of the Russian-Ukrainian War: Hybrid Aggression and National Resilience (pp. 232–243). National Defence University of Ukraine.

Wahl-Jorgensen, K. (2018). The emotional architecture of social media. In A Networked Self and Platforms, Stories, Connections (pp. 77–93). Taylor & Francis. https://doi.org/10.4324/9781315193434-6

Yu, B., & Ji, X. (2024). Multi-modal sarcasm detection based on emotion perception and cross-modality attention fusion. Journal of Intelligent and Fuzzy Systems, 46(4), 8361–8374. https://doi.org/10.3233/JIFS-233163

Zhang, I. (Y.), Izad, T., & Cartmill, E. A. (2024). Embodying similarity and difference: The effect of listing and contrasting gestures during U.S. political speech. Cognitive Science, 48(3). https://doi.org/10.1111/cogs.13428

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Published

2025-04-19

How to Cite

Darmawan, A. S. W., Degaf, A., & Anggrisia, N. F. (2025). Expressive Speech Acts and Public Sentiments in Netizen Responses to Political Posts on X. Journal of Languages and Language Teaching, 13(2), 960–971. https://doi.org/10.33394/jollt.v13i2.13167

Issue

Vol. 13 No. 2 (2025)

Section

Articles

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