Linguistic and emotional dynamics in satirical vs. real news: a psycholinguistic analysis
Resumo
This study compares the psycholinguistic differences between satirical and real news using data from LIWC (Linguistic Inquiry and Word Count). We found that satirical news utilizes a broader range of emotional and rhetorical resources, often exaggerating or subverting reality, while real news maintains a more factual and objective tone. This highlights the critical and humorous role of satire in social communication. Furthermore, the research advances the field of NLP by improving satire detection through a psycholinguistic lens, contributing to the development of algorithms that effectively differentiate satirical news from fake news and help combat misinformation.
Referências
Balage Filho, P. P., Pardo, T. A. S., and Aluísio, S. M. (2013). An evaluation of the brazilian portuguese liwc dictionary for sentiment analysis. In Proceedings of the 9th Brazilian Symposium in Information and Human Language Technology, pages 215–219.
Burfoot, C. and Baldwin, T. (2009). Automatic satire detection: Are you having a laugh? In Proceedings of the ACL-IJCNLP 2009 Conference Short Papers, pages 161–164, Suntec, Singapore. Association for Computational Linguistics.
Friggeri, A., Adamic, L., Eckles, D., and Cheng, J. (2014). Rumor cascades. In proceedings of the international AAAI conference on web and social media, volume 8, pages 101–110.
Pennebaker, J. W. (2001). Linguistic inquiry and word count: Liwc 2001.
Rubin, V. L., Chen, Y., and Conroy, N. K. (2015). Deception detection for news: three types of fakes. Proceedings of the Association for Information Science and Technology, 52(1):1–4.
Salas-Zárate, M. d. P., López-López, E., Valencia-García, R., Aussenac-Gilles, N., Almela, Á., and Alor-Hernández, G. (2014). A study on liwc categories for opinion mining in spanish reviews. Journal of Information Science, 40(6):749–760.
Salas-Zárate, M. d. P., Paredes-Valverde, M. A., Rodriguez-García, M. Á., Valencia-García, R., and Alor-Hernández, G. (2017). Automatic detection of satire in twitter: A psycholinguistic-based approach. Knowledge-Based Systems, 128:20–33.
Tandoc Jr, E. C., Lim, Z. W., and Ling, R. (2018). Defining “fake news” a typology of scholarly definitions. Digital journalism, 6(2):137–153.
Wardle, C. and Derakhshan, H. (2017). Information disorder: Toward an interdisciplinary framework for research and policy making. Council of Europe, 27.
Yang, F., Mukherjee, A., and Dragut, E. (2017). Satirical news detection and analysis using attention mechanism and linguistic features. arXiv preprint arXiv:1709.01189.
Burfoot, C. and Baldwin, T. (2009). Automatic satire detection: Are you having a laugh? In Proceedings of the ACL-IJCNLP 2009 Conference Short Papers, pages 161–164, Suntec, Singapore. Association for Computational Linguistics.
Friggeri, A., Adamic, L., Eckles, D., and Cheng, J. (2014). Rumor cascades. In proceedings of the international AAAI conference on web and social media, volume 8, pages 101–110.
Pennebaker, J. W. (2001). Linguistic inquiry and word count: Liwc 2001.
Rubin, V. L., Chen, Y., and Conroy, N. K. (2015). Deception detection for news: three types of fakes. Proceedings of the Association for Information Science and Technology, 52(1):1–4.
Salas-Zárate, M. d. P., López-López, E., Valencia-García, R., Aussenac-Gilles, N., Almela, Á., and Alor-Hernández, G. (2014). A study on liwc categories for opinion mining in spanish reviews. Journal of Information Science, 40(6):749–760.
Salas-Zárate, M. d. P., Paredes-Valverde, M. A., Rodriguez-García, M. Á., Valencia-García, R., and Alor-Hernández, G. (2017). Automatic detection of satire in twitter: A psycholinguistic-based approach. Knowledge-Based Systems, 128:20–33.
Tandoc Jr, E. C., Lim, Z. W., and Ling, R. (2018). Defining “fake news” a typology of scholarly definitions. Digital journalism, 6(2):137–153.
Wardle, C. and Derakhshan, H. (2017). Information disorder: Toward an interdisciplinary framework for research and policy making. Council of Europe, 27.
Yang, F., Mukherjee, A., and Dragut, E. (2017). Satirical news detection and analysis using attention mechanism and linguistic features. arXiv preprint arXiv:1709.01189.
Publicado
17/11/2024
Como Citar
WICK-PEDRO, Gabriela; SANTOS, Roney Lira de Sales; VALE, Oto.
Linguistic and emotional dynamics in satirical vs. real news: a psycholinguistic analysis. In: SIMPÓSIO BRASILEIRO DE TECNOLOGIA DA INFORMAÇÃO E DA LINGUAGEM HUMANA (STIL), 15. , 2024, Belém/PA.
Anais [...].
Porto Alegre: Sociedade Brasileira de Computação,
2024
.
p. 386-392.
DOI: https://doi.org/10.5753/stil.2024.245398.
