Article
Article name Algorithmisation of the Means of Representing the “New Knowledge” Frame in Popular Science Discourse
Authors Ivanova L.Y. Candidate of Philology, l.y.ivanova@spbu.ru
Udaltsova A.R. Student, udaltcowa@gmail.com
Bibliographic description Ivanova L. Y., Udaltsova A. R. Algorithmisation of the Means of Representing the “New Knowledge” Frame in Popular Science Discourse // Humanitarian Vector. 2024. Vol. 19, no. 3. P. 112–125. DOI: 10.21209/1996-7853-2024-19-3-112-125.
Section Cultural Studies of Media Discourse
UDK 81’33
DOI 10.21209/1996-7853-2024-19-3-112-125
Article type Original article
Annotation The paper outlines research identifying key elements of the ‘new knowledge’ frame in popular science Telegram channels. Highlighting categories that can be used to describe this frame, authors propose principles for developing an algorithm to search for it. The article demonstrates that the terminals’ automatic recognition of the frame ‘new knowledge’ is accomplished by developing a multistage search algorithm that involves describing programmed units located within the different-level linguistic means, creating a qualitative sample, and drawing conclusions about the inclusion of the category in the algorithm’s requirements. The paper employs both quantitative and qualitative methods to identify trends in various types of media to make some basis for further development of a supervised ML system. An analysis of 288 units from popular science Telegram channels reveals that the location and frequency of framing techniques in texts indicate the quality and level of audience preparation. The results of the study have demonstrated that the term ‘new knowledge’ is explicated via the set of semantics components that form the following microfields: a) The course of study; b) The result of study; c) The subject of research work; d) Comparison between new knowledge and old knowledge; e) Novelty of knowledge; f) Denial of previous knowledge. The aim of the frame description is to develop an algorithm that can identify units within this frame in real speech materials of social media. This will aid future research on objection’s stylistics and enable the development of AI systems that can be trained to recognize objection styles.
Key words framing, computational linguistics, popular science discourse, automatic text analysis, objection
Article information
References Dialogue as a dispute in popular science communication. L. R. Duskaeva (ed.). Saint Petersburg: Mediapapir, 2022. (In Rus.) Popper, K. The Logic of Scientific Discovery. Transl. from Engl.; V. N. Sadovskii (ed.). M: Progress, 1983. (In Rus.) Boldyrev, N., & Efimenko, T. Secondary interpretation of scientific knowledge in mass media discourse. Media Linguistics, no. 9, pp. 355–368, 2022. DOI: 10.21638/spbu22.2022.404. (In Rus.) Duskaeva, L. R., Ivanova, L. Yu. Linguocreativity in composing a telegram channel paratext. Vestnik of Saint Petersburg University. Language and Literature, no. 20, pp. 40–60, 2023. DOI: 10.21638/spbu09.2023.103. (In Rus.) Ivanova, L. Yu. The verbal effect of an objection in popular science communication as a representation of communicative resistance. Ed. by L. R. Duskaeva. Presentation of scientific knowledge in the media dialogue: contexts, technologies and language techniques. Saint Petersburg: Mediapapir, 2023: 140–152. (In Rus.) Zadvornaia, E. G. On the phenomenon of communicative resistance. Linguistics, linguodidactics, linguoculturology: current issues and development prospects: Proceedings of the IV International Scientific and Practical Conference, Minsk, 19–20 March, 2020. Minsk: Belarussian State University, 2020: 8–12. (In Rus.) Dalen, A. V. Algorithmic Gatekeeping for Professional Communicators: Power, Trust and Legitimacy. Routledge. Routledge’s Disruptions: Studies in Digital Journalism, 2023. DOI: 10.4324/9781003375258. (In Eng.) Ponomarev, N. F. Communication management: dramatization of public policy. Perm, 2014. (In Rus.) Duskaeva, L. R. Popularization of scientific knowledge in the media environment: speech strategies. Ed. by L. R. Duskaeva. Presentation of scientific knowledge in the media dialogue: contexts, technologies and language techniques. Saint Petersburg: Mediapapir, 2023: 57–67. (In Rus.) Hågvar, Y. Labelling journalism: The discourse of sectional paratexts in print and online newspapers. Nordicom Review, no. 33, pp. 27–42, 2012. (In Eng.) Sarna, A. Ya. Technologies of influencing the audience in the modern media space. Vestnik of Saint Petersburg University. Sociology, vol. 13, pp. 218–235, 2020. DOI:10.21638/spbu12.2020.207. (In Rus.) Kuznetsova, Yu. M., Mishlanov, V. A., Salimovskiy, V. A., Chudova, N. V. Category of speech system in modeling affective processes (based on the material of network communication). Media Linguistics, no. 9, pp. 190–209, 2022. DOI: 10.21638/spbu22.2022.302. (In Rus.) Ebzeeva, Y. N., Solnyshkina, M. I., Pathan, H. Variety and functional diversity of modern discourse in cognitive perspective. Russian Journal of Linguistics, no. 27, pp. 767–796, 2023. DOI: 10.22363/2687‐0088‐37185. (In Eng.) Boldyrev, N. N. Language and knowledge system. Cognitive theory of language. M: YaSK Publ. House, 2019. (In Rus.) Minskiy, M. A framework for representing knowledge. Transl. from English. Ed. by F. M. Kulakov. M: Energiya, 1979. (In Rus.) Fillmore, Ch. J. Frame semantics. Linguistics in the morning calm: Selected papers from the SICOL-1981. Seoul: Hanship, 1982: 111–137. (In Eng.) Evans, V., & Green, M. Cognitive Linguistics: An Introduction (1st ed.). Routledge, 2006. DOI: 10.4324/9781315864327. (In Eng.) Langacker, R. A view of linguistic semantics. Ed. by B. Rudzka-Ostyn. Topics in Cognitive Linguistics. Amsterdam: John Benjamins, 1988: 49–90. (In Eng.) Gasparov B. M. Language, memory, image: linguistics of linguistic Existence. M: “Novoe literaturnoe obozrenie”, 1996. (In Rus.) Gamson, W. A. News as Framing: Comments on Graber. American Behavioral Scientist, no. 33, pp. 157–161, 1989. DOI: 10.1177/0002764289033002006. (In Eng.) Bateson, G. Steps to an Ecology of Mind: Collected Essays in Anthropology, Psychiatry, Evolution, and Epistemology. Chicago, IL: University of Chicago Press, 1972. (In Eng.) Entman, R. Framing toward clarification of a fractured paradigm. Journal of Communication, no. 43, pp. 51–58, 1993. DOI: 10.1111/j.1460-2466.1993.tb01304.x. (In Eng.) Kosicki, G. Problems and opportunities in agenda-setting research. Journal of Communication, no. 43, pp. 100–127, 1993. (In Eng.) Pan, Z., Kosicki, G. Framing analysis: An approach to news discourse. Political Communication, no. 10, pp. 55–75, 1993. DOI: 10.1080/10584609.1993.9962963. (In Eng.) Goffman, E. Frame Analysis: An Essay on the Organization of Experience. Cambridge, MA: Harvard University Press, 1974. (In Eng.) Ndinojuo, B.-C., Ihejirika, W., & Okon, G. Sources of News about Military Operations against Boko Haram Insurgents in Nigeria Newspapers: a Content Analysis Investigation. Galactica Media: Journal of Media Studies, no. 2, pp. 39–65, 2020. DOI: 10.46539/gmd.v2i2.75. (In Eng.) Kushneruk, S. L. Framing of pre-election political situation in the Telegram channel discourse. Media Linguistics, no. 9, pp. 220–236, 2022. DOI: 10.21638/spbu22.2022.304. (In Rus.) Hallahan, K. Strategic framing. International Encyclopedia of Communication. Blackwell, 2008. DOI: 10.1002/9781405186407.wbiecs107. (In Eng.) Linguistic Analyzer: converting text into a metalanguage data structure. Saint-Petersburg: St Petersburg University Publ., 2019. (In Rus.) van Dijck, J., Poell, T. Understanding Social Media Logic. Media and Communication, no. 1, pp. 2–14, 2013. DOI: 10.12924/mac2013.01010002. (In Eng.). Benford, R. D., Snow, D. A. Framing processes and social movements: An overview and assessment. Annual Review of Sociology, no. 26, pp. 611–639, 2020. DOI: 10.1146/annurev.soc.26.1.611. (In Eng.) Godefroidt, A., Berbers, A., d’Haenens, L. What’s in a frame? A comparative content analysis of American, British, French, and Russian news articles. International Communication Gazette, no. 78, pp. 777–801, 2016. (In Eng.)
Full articleAlgorithmisation of the Means of Representing the “New Knowledge” Frame in Popular Science Discourse
0
1