Kongmeng Liew

Kongmeng Liew

Lecturer, Psychology of Social Media. I am a Cultural Psychologist, using NLP and machine learning to study society.

Publications & Proceedings

Uchida, Y., Krys, K., & Liew, K. (Forthcoming). A cultural logic to the content of emotions: Appraisals, action tendencies, and connotations. In J. De Leersnyder (ed.). The socio-cultural shaping of emotion: Studies into the logic as well as dynamic interplay of Culture and Emotion. Cambridge University Press.

Kraus, B., Liew, K., Kitayama, S., & Uchida, Y. (2024). The impact of culture on emotion suppression: Insights from an electrophysiological study of emotion regulation in Japan. Biological Psychology, 108767. https://doi.org/10.1016/j.biopsycho.2024.108767

Kok, K., North, A., Hamamura, T., & Liew, K.. (2024). Music consumption and uses in Japan. Psychology of Music. https://doi.org/10.1177/03057356241234071

Krys, K., Kostoula, O., van Tilburg, W.A.P., Mosca, O., …Liew, K., … Uchida, Y. (2024). Happiness maximization is a WEIRD way of living. Perspectives on Psychological Science. https://doi.org/10.1177/17456916231208367

*Yao, L. F. L., Liew, K., Wakamiya, S., & Aramaki, E. (2024). Extracting Spatio-Temporal Trends in Medical Research Prioritization Through Natural Language Processing of Case Report Abstracts. Studies in Health Technology and Informatics, 310, 634-638. https://doi.org/10.3233/shti231042

Liew, K., Koh, A. H. Q., Fram, N. R., Brown, C. M., dela Cruz, C., Neng, L. L., Hennequin, R., Krause, A., & Uchida, Y. (2023). Groovin’ to the cultural beat: Preferences for danceable music represent cultural affordances for high-arousal negative emotions. Psychology of Aesthetics, Creativity, and the Arts. https://doi.org/10.1037/aca0000599

Jackson, J. C., Halberstadt, J., Takezawa, M., Liew, K., Smith, K., Apicella, C., & Gray, K. (2023). Generalized morality culturally evolves as an adaptive heuristic in large social networks. Journal of Personality and Social Psychology, 125(6), 1207–1238. https://doi.org/10.1037/pspa0000358

*Azuaje, G., Liew, K., Epure, E. V., Yada, S., Wakamiya, S., Aramaki, E. (2023). Visualyre: Multimodal album art generation for independent musicians. Personal and Ubiquitous Computing. https://doi.org/10.1007/s00779-023-01724-1

*Yao, L. F., *Ferawati, K., Liew, K., Wakamiya, S., Aramaki, E. (2023). The disruption of the cystic fibrosis community’s experiences and concerns during the COVID-19 pandemic: Topic modeling and time series analysis of Reddit comments. Journal of Medical Internet Reseach. https://doi.org/10.2196/45249

Koh, A. H. Q., Liew, K., Uchida, Y. (2023). The ease of experiencing positive emotions in negative context. Motivation and Emotion. https://doi.org/10.1007/s11031-022-09988-5

*Azuaje, G., Liew, K. (equal contribution), Buening, R., She, W. J., Siriaraya, P., Wakamiya, S., & Aramaki, E. (2023). Exploring the use of AI text-to-image generation to downregulate negative emotions in an expressive writing application. Royal Society Open Science. https://doi.org/10.1098/rsos.220238

Lin, P. K. F., Andrew, Koh, A. H. Q., & Liew, K. (2023). The relationship between Hikikomori risk factors and social withdrawal tendencies among emerging adults: An exploratory study of Hikikomori in Singapore. Frontiers in Psychiatry, 13. https://doi.org/10.3389/fpsyt.2022.1065304

*Mutinda, F. W., Liew, K., Yada, S., Wakamiya, S., & Aramaki, E. (2022). PICO Corpus: A Publicly Available Corpus to Support Automatic Data Extraction from Biomedical Literature, Proceedings of the Workshop on Information Extraction from Scientific Publications (WIESP), AACL-IJCNLP. https://aclanthology.org/2022.wiesp-1.4

Liew, K., Uchida, Y., Domae, H., & Koh, A. H. Q. (2022). Energetic music is used for anger downregulation: A cross-cultural differentiation of intensity from rhythmic arousal. Journal of Applied Social Psychology, 1– 12. https://doi.org/10.1111/jasp.12951

*Zhou, Y., Liew, K., Yada, S., Wakamiya, S., & Aramaki, E. (2022). Music charts for approximating everyday emotions: A dataset of daily charts with music features from 106 cities. Proceedings of the 3rd Workshop on Momentary Emotion Elicitation and Capture (MEEC), International Conference for Affective Computing & Intelligent Interaction (ACII). https://doi.org/10.1109/ACIIW57231.2022.10086019

Liew, K., *Mishra, V., *Zhou, Y., Epure, E. V., Hennequin, R., Wakamiya, S., & Aramaki, E. (2022). Network analyses for cross-cultural music popularity. Proceedings of the 23rd International Society for Music Information Retrieval Conference (ISMIR) {PDF available at https://psyarxiv.com/fp75z/}

*Ferawati, K., Liew, K., Wakamiya, S., & Aramaki, E. (2022). Monitoring Mentions of COVID-19 Vaccine Side Effects from Japanese and Indonesian Twitter: Infodemiological Study. JMIR Infodemiology, 2(2):):e39504. https://doi.org/10.2196/39504

*Uehara, M., Fujita, S., Shimizu, N., Liew, K., Wakamiya, S., & Aramaki, E. (2022). Measuring concerns about the COVID-19 vaccine among Japanese internet users through search queries. Scientific Reports, 12:5037. https://doi.org/10.1038/s41598-022-18307-4

Buening, R., *Maeda, T., Liew, K., & Aramaki, E. (2022). Between fact and fabrication: How visual art might nurture environmental consciousness. Frontiers in Psychology, 13:925843. https://doi.org/fpsyg.2022.925843

*Mutinda, F., Liew, K., Yada, S., Wakamiya, S., & Aramaki, E. (2022). Automatic data extraction to support meta-analysis statistical analysis: A case study on breast cancer. BMC Medical Informatics and Decision Making, 22(1), 158. https://doi.org/10.1186/s12911-022-01897-4

*Ramos, P. J., *Ferawati, K., Liew, K., Aramaki, E., & Wakamiya, S. (2022). Emotion analysis of writers and readers of Japanese Tweets on Vaccinations. Proceedings of the Workshop on Computational Approaches to Subjectivity, Sentiment & Social Media Analyses (WASSA), Annual Meeting of the Association for Computational Linguistics (ACL).https://aclanthology.org/2022.wassa-1.10.pdf

Liew, K., Uchida, Y, & de Almeida, I. (2021). Exploring cultural differences in music preferences for Chinese, Japanese and English songs through Spotify features. PeerJ Computer Science, 7:e642. https://doi.org/10.7717/peerj-cs.642

Liew, K., Uchida, Y., dela Cruz, C., & Lee, L. N. (2021). Examining the cultural marginalization theory of NEET/Hikikomori risk tendencies in Singaporean youth. Psychologia, 63(1), 4-19. https://doi.org/10.2117/psysoc.2020-A120

Lindborg, P., & Liew, K. (2021). Real and imagined smellscapes. Frontiers in Psychology, 12:718172. https://doi.org/10.3389/fpsyg.2021.718172

*Mishra, V., Liew, K., Hennequin, R., Epure, E. V., & Aramaki, E. (2021). Are Metal fans angrier than Jazz fans? A genre-wise exploration of the emotional language of music listeners on Reddit. Proceedings of the 2nd Workshop on NLP for Music and Audio (NLP4MusA), International Society for Music Information Retrieval (ISMIR). Association for Computational Linguistics. https://aclanthology.org/2021.nlp4musa-1.7/

*Gao, Z., Fujita, S., Shimizu, N., Liew, K., Murayama, T., Yada, S., Wakamiya, S., & Aramaki, E. (2021). Measuring public concern about COVID-19 through search queries. JMIR Public Health and Surveillance. https://doi.org/10.2196/29865

Manabe, M., Liew, K., Yada, S., Wakamiya, S., & Aramaki, E. (2021). Estimation of psychological distress in Japanese youth through analyses of narrative writing: Text-based stylometric and sentiment analyses. JMIR Formative Reports, 5(8):e29500. https://doi.org/10.2196/29500

*Azuarje, G., Liew, K., Epure, E. V., Yada, S., Wakamiya, S., Aramaki, E. (2021). Visualyre: Multimodal visualization of lyrics. Proceedings of the AM’21 16th International Conference on Audio Mostly. Association for Computing Machinery. https://doi.org/10.1145/3478384.3478420

Liew, K., Uchida, Y., Maeura, N., & Aramaki, E. (2020). Classification of Nostalgic Music Through LDA Topic Modeling and Sentiment Analysis of YouTube Comments in Japanese Songs. Proceedings of the 1st Workshop on NLP for Music and Audio (NLP4MusA), International Society for Music Inormation Retrieval (ISMIR). Association for Computational Linguistics. https://www.aclweb.org/anthology/2020.nlp4musa-1.16

Koh, A. H. Q., Liew, K., & Uchida, Y. (2020). ひきこもりの文化・社会的要因―文化心理学からの検討 [The socio-cultural factors behind Hikikomori behaviour: Considerations from cultural psychology], Japanese Journal of Clinical Psychology, 20(6).

Liew, K., & Lindborg, P. (2020). A sonification of cross-cultural differences in happiness-related Tweets. Journal of the Audio Engineering Society, 68(1-2), 1-9. https://doi.org/10.17743/jaes.2019.0056

Liew, K., Lindborg, P., Rodrigues, R., & Styles, S.J. (2018). Cross-modal perception of noise-in-music: audiences generate spiky shapes in response to auditory roughness in a novel electroacoustic concert setting. Frontiers in Psychology, 9:178. https://doi.org/10.3389/fpsyg.2018.00178

‘*’ indicates works by co-supervised students