DOI: https://doi.org/10.14710/jis.22.2.2023.31-49

Bibliometric Analysis of Sociological Research on Artificial Intelligence

*Agustina Multi Purnomo  -  Sains Communication program, Faculty of Social, Politic, and Computer Science,, Indonesia

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Abstract

This research aims to identify potential areas for future sociological research related to artificial intelligence (AI). The study used bibliometric analysis methods and the VosViewer pro- gram to process data. The data analyzed included 31 articles related to "sociology" and "artificial intelligence," and 1,277 articles pertinent to "social" and "artificial intelligence," all published on ScienceDirect between 2003 and 2023. Network visualization, overlay, and density analysis were used to process the data. This revealed that current sociological re- search on AI only covers five topics - artificial intelligence, sociology, technology, affects, and artificial intelligence. However, social research on AI has identified 100 topics across five datasets, with almost all research being conducted within the past decade. It is noteworthy that "sociology" is not among these 100 topics. However, these 100 topics have the potential to become sociological research subjects by applying sociological principles. The research findings suggest that sociologists can publish their scientific documents in 3,800 journals and books published by Elsevier, indicating a high probability of acceptance. Furthermore, the topics can be framed from a sociological perspective, thus providing greater insight on the subjects and potentially opening up the door to more publications by the sociologists.

 

 

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Keywords: AI; Artificial Intelligence; Bibliometric Analysis; Social; Sociology

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  1. Aarons, H., & Willis, E. (2022). The Sociological Quest: An introduction to the study of social life. Taylor & Francis
  2. Adam, A. (1993). Gendered knowledge—Epistemology and artificial intelligence. AI & Society, 7, 311–322
  3. Allam, Z., & Dhunny, Z. A. (2019). On big data, artificial intelligence and smart cities. Cit- ies, 89, 80–91. ( https://doi.org/10.1016/j.cities.2019.01.032), [Online]
  4. Anderson, B. (1989). On artificial intelligence and theory construction in sociology. Journal of Mathematical Sociology, 14(2–3), 209–216
  5. Apter, M. J. (1970). Cybernetics: a case study of a scientific subject-complex. The Sociological Review, 18(1_suppl), 93–116
  6. Arunagiri, A., & Udayaadithya, A. (2022). Governing Artificial Intelligence in Post- Pandemic Society. In Global Pandemic and Human Security: Technology and Development Perspective (pp. 413–433). (doi: 10.1007/978-981-16-5074-1_22),[Online]
  7. Bircan, T., & Salah, A. A. A. (2022). A Bibliometric Analysis of the Use of Artificial Intelli- gence Technologies for Social Sciences. Mathematics, 10(23), 4398. (doi: https://doi.org/10.3390/math10234398),[Online]
  8. Bloomfield, B. P. (1988). Expert systems and human knowledge: a view from the sociology of science. AI & SOCIETY, 2, 17–29
  9. Boyd, R., & Holton, R. J. (2018). Technology, innovation, employment and power: Does robotics and artificial intelligence really mean social transformation? Journal of Sociol- ogy, 54(3), 331–345. (doi: https://doi.org/10.1177/1440783317726591),[Online]
  10. Brent, E. (1988). Is there a role for artificial intelligence in sociological theorizing? The American Sociologist, 19(2), 158–166
  11. Buele, I., & Guerra, T. (2021). Bibliometric analysis of scientific production on tax evasion in sciencedirect, years 2010 to 2019. J. Legal Ethical & Regul. Isses, 24, 1
  12. Bulmer, M. (2003). Sociological research methods. London: Transaction Publishers. Campbell, K. A., Orr, E., Durepos, P., Nguyen, L., Li, L., Whitmore, C., Gehrke, P., Graham, L., & Jack, S. M. (2021). Reflexive thematic analysis for applied qualitative health research. The Qualitative Report, 26(6), 2011–2028. (doi: 10.46743/2160-3715/2021.5010),[Online]
  13. Carley, K. M. (1996). Artificial intelligence within sociology. Sociological Methods & Re- search, 25(1), 3–30
  14. Carley, K., & Newell, A. (1994). The nature of the social agent. Journal of Mathematical Sociology, 19(4), 221–262
  15. Chang, Y.-C., Ku, C.-H., & Chen, C.-H. (2019). Social media analytics: Extracting and visualizing Hilton hotel ratings and reviews from TripAdvisor. International Journal of In- formation Management, 48, 263–279. (doi: https://doi.org/10.1016/j.ijinfomgt.2017.11.001),[Online]
  16. Collins, R. (1992). Can Sociology Create an Artificial Intelligence. Sociological Insight: An Introduction to Non-Obvious Sociology, 155–184
  17. Dash, B., & Sharma, P. (2022). Role of Artificial Intelligence in Smart Cities for Infor- mation Gathering and Dissemination - A Review. Academic Journal of Research and Scientific Publishing. 4. 58-75. (doi: 10.52132/Ajrsp.e.2022.39.4),[Online]
  18. Diaz-Bone, R., Horvath, K., & Cappel, V. (2020). Social research in times of big data. The challenges of new data worlds and the need for a sociology of social research
  19. Historical Social Research/Historische Sozialforschung, 45(3), 314–341. (doi: https://doi.org/10.12759/hsr.45.2020.3.314-341),[Online]
  20. Donthu, N., Kumar, S., Mukherjee, D., Pandey, N., & Lim, W. M. (2021). How to conduct a bibliometric analysis: An overview and guidelines. Journal of Business Research, 133, 285–296. (doi: https://doi.org/10.1016/j.jbusres.2021.04.070),[Online]
  21. Elsevier. (2023). ScienceDirect. Retrieved from https://www.elsevier.com/en-xs/research-platforms
  22. Ferrando, F. (2014). Is the post-human a post-woman? Cyborgs, robots, artificial intelligence and the futures of gender: a case study. European Journal of Futures Research, 2(1), 1– 17. (doi: https://doi.org/10.1007/s40309-014-0043-8),[Online]
  23. Ferreira, F. A. F. (2018). Mapping the field of arts-based management: Bibliographic cou- pling and co-citation analyses. Journal of Business Research, 85, 348–357. (doi: 10.1016/j.jbusres.2017.03.026),[Online]
  24. Fuller, S. (2006). Intelligent design theory: A site for contemporary sociology of knowledge. Canadian Journal of Sociology/Cahiers Canadiens de Sociologie, 277–289. (https:// doi.org/10.2307/20058711), [Online]
  25. Fussey, P., & Roth, S. (2020). Digitizing sociology: Continuity and change in the internet era. Sociology, 54(4), 659–674. (doi: https://doi.org/10.1177/0038038520918),[Online]Hariri,R.H.,Fredericks,E.M.,&Bowers,K.M.(2019).Uncertaintyinbigdataanalytics:survey,opportunities,andchallenges.JournalofBigData,6(1),1–16.(https://doi.org/10.1186/s40537-019-0206-3),[Online]
  26. Hass, J. K. (2020). Economic sociology: An introduction. London: Routledge
  27. Ho, Y.-S. (2018). Comment on:“A bibliometric analysis and visualization of medical big data research” Sustainability 2018, 10, 166. Sustainability, 10(12), 4851. (doi: https://doi.org/10.3390/su10124851),[Online]
  28. Holton, R., & Boyd, R. (2021). ‘Where are the people? What are they doing? Why are they doing it?’)Mindell) Situating artificial intelligence within a socio-technical framework. Journal of Sociology, 57(2), 179–195. (doi: https://doi.org/10.1177/144078331987304),[Online]
  29. Howard, J. A., & Morgenroth, W. M. (1968). Information processing model of executive decision. Management Science, 14(7), 416–428. ( https://doi.org/10.1287/ mnsc.14.7.416), [Online]
  30. Joyce, K., Smith-Doerr, L., Alegria, S., Bell, S., Cruz, T., Hoffman, S. G., Noble, S. U., & Shestakofsky, B. (2021). Toward a sociology of artificial intelligence: A call for re- search on inequalities and structural change. Socius, 7, (doi: 10.1177/2378023121999581),[Online]
  31. Kerr, A., Barry, M., & Kelleher, J. D. (2020). Expectations of artificial intelligence and the performativity of ethics: Implications for communication governance. Big Data & Society, 7(1), (doi: https://doi.org/10.1177/20539517209159),[Online]
  32. Knoke, D., & Yang, S. (2019). Social network analysis. SAGE publications
  33. Krzywanski, J. (2019). Heat transfer performance in a superheater of an industrial CFBC using fuzzy logic-based methods. Entropy, 21(10), 919. (doi: https://doi.org/10.3390/e21100919),[Online]
  34. Linnenluecke, M. K., Marrone, M., & Singh, A. K. (2020). Conducting systematic literature reviews and bibliometric analyses. Australian Journal of Management, 45(2), 175–194. (doi: 10.1177/0312896219877678),[Online]
  35. Liu, Z. (2021). Sociological perspectives on artificial intelligence: A typological reading. Sociology Compass, 15(3), e12851. (doi: https://doi.org/10.1111/soc4.12851),[Online]Lutz,C.(2019).Digitalinequalitiesintheageofartificialintelligenceandbigdata.HumanBehaviorandEmergingTechnologies,1(2),141–148.(doi: 10.1002/hbe2.140), [Online]
  36. Mallen, G. L. (1970). Control theory and decision making in Organisations a reconnaissance. Measurement and Control, 3(3), T46–T48
  37. Malsch, T. (2001). Naming the unnamable: Socionics or the sociological turn of/to distribut- ed artificial intelligence. Autonomous Agents and Multi-Agent Systems, 4(3), 155–186. ( https://doi.org/10.1023/A:1011446410198), [Online]
  38. Marinucci, L., Mazzuca, C., & Gangemi, A. (2023). Exposing implicit biases and stereo- types in human and artificial intelligence: state of the art and challenges with a focus on gender. AI & SOCIETY, 38(2), 747–761. ( https://doi.org/10.1007/s00146-022-01474-3), [Online]
  39. Mark, R., & Anya, G. (2019). Ethics of using smart city AI and big data: The case of four large European cities. The ORBIT Journal, 2(2), 1–36. ( https://doi.org/10.29297/ orbit.v2i2.110), [Online]
  40. Matthewman, S., & Huppatz, K. (2020). A sociology of Covid-19. Journal of Sociology, 56 (4), 675–683. ( https://doi.org/10.1177/1440783320939416), [Online]
  41. Midhun, P. (1955). Artificial Intelligence: A Pillar of the Modern Society. In Shanmuga Sundari, Seng Thong Chong, M. Prabu (Eds.). Outcomes of best practices in classroom research (pp. 9-15). L. Ordino Nuovo Publications: New Delhi
  42. Mlynář, J., Alavi, H. S., Verma, H., & Cantoni, L. (2018). Towards a sociological conception of artificial intelligence. International Conference on Artificial General Intelli- gence, 130–139. ( https://doi.org/10.1007/978-3-319-97676-1_13), [Online]
  43. Molina, M., & Garip, F. (2019). Machine learning for sociology. Annual Review of Sociology, 45, 27–45. ( https://doi.org/10.1146/annurevsoc073117-041106), [Online]
  44. Monaghan, L., & Gabe, J. (2022). Key concepts in medical sociology. Sage
  45. Mühlhoff, R. (2020). Human-aided artificial intelligence: Or, how to run large computations in human brains? Toward a media sociology of machine learning. New Media & Society, 22(10), 1868–1884. ( https://doi.org/10.1177/1461444819885334), [Online]
  46. Mulyawati, I. B., & Ramadhan, D. F. (2021). Bibliometric and visualized analysis of scien- tific publications on geotechnics fields. ASEAN Journal of Science and Engineering Education, 1(1), 37–46. (DOI: 10.xxxxx/AJSEE.v1i1),[Online]
  47. Musés, C. A. (1962). The Logic of Biosimulation. In Aspects of the Theory of Artificial In- telligence: The Proceedings of the First International Symposium on Biosimulation Lo- carno, June 29–July 5, 1960, 115–163
  48. Newman, J., Mintrom, M., & O’Neill, D. (2022). Digital technologies, artificial intelligence, and bureaucratic transformation. Futures, 136, 102886. ( https://doi.org/10.1016/ j.futures.2021.102886), [Online]
  49. Oliveira, A., & Silva, C. (2020). The sociology of education in Brazil today. Revista de Sociología de La Educación-RASE, 13(1), 36–51. (DOI: 10.7203/RASE.13.1.14658),[Online]
  50. Paul, J., & Criado, A. R. (2020). The art of writing literature review: What do we know and what do we need to know? International Business Review, 29(4), 101717. (https:// doi.org/10.1016/j.ibusrev.2020.101717), [Online]
  51. Purnomo, A. M. (2022). Sociology of Food Tourism Research Opportunities: A Bibliometric Analysis. Society, 10(2), 203–222. (DOI: 10.33019/society.v10i2.433),[Online]
  52. Purnomo, A. M. (2023a). Bibliometric Analysis the Sociology of Tourism Research. In Rah- mat Rosyadi (Ed.). Ibn Khaldun International Conference on Applied and Social Sci- ences (IICASS-2022) (pp. 277-292). Bogor: UIKA Press
  53. Purnomo, A. M. (2023b). The Trend of Sociology of Tourism Research: A Bibliometric Analysis. In Mega Febriani Sya, Nurul Annisa Yuniarti, Afmi Afriliani, and Muslim (Eds.). Djuanda International Conference 2022 (pp. 135-144). Bogor: Unida Press
  54. Purnomo, A. M., Pratidina, G., & Setiawan, M. F. (2022). Komunikasi pemasaran perusahaan pasca pandemi: Studi respon pelanggan terhadap pesan di instagram. Jurnal Komunikatio, 8(2), 103–113. ( https://doi.org/10.30997/jk.v8i2.6731), [Online]
  55. Schillo, M., Fischer, K., & Klein, C. T. (2000). The micro-macro link in DAI and sociology. International Workshop on Multi-Agent Systems and Agent-Based Simulation, 133–148. (DOI: 10.1007/3-540-44561-7_10),[Online]
  56. Schwartz, R. D. (1989). Artificial intelligence as a sociological phenomenon. Canadian Journal of Sociology/Cahiers Canadiens de Sociologie, 179–202. ( https://doi.org/10.2307/3341290), [Online]
  57. Sebastian, R. (1955). Artificial Intelligence: A Through Dissection. In Shanmuga Sundari, Seng Thong Chong, M. Prabu (Eds.), 266–272
  58. Selwyn, N. (2019). What is digital sociology? John Wiley & Sons
  59. Shubik, M. (1960). Simulation of the Industry and the Firm. The American Economic Re- view, 50(5), 908–919
  60. Stahl, B. C., & Wright, D. (2018). Ethics and privacy in AI and big data: Implementing re- sponsible research and innovation. IEEE Security & Privacy, 16(3), 26–33. (DOI: 10.1109/MSP.2018.2701164),[Online]
  61. Stefani, U., Schiavone, F., Laperche, B., & Burger-Helmchen, T. (2020). New tools and practices for financing novelty: a research agenda. European Journal of Innovation Management, 23(2), 314–328. (DOI: 10.1108/EJIM-08-2019-0228),[Online]
  62. Swedberg, R. (2021). How Do You Establish the Research Object in Sociology? In Con- structing Social Research Objects (pp. 9–23). Brill
  63. Van Eck, N., & Waltman, L. (2010). Software survey: VOSviewer, a computer program for bibliometric mapping. Scientometrics, 84(2), 523–538. ( https://doi.org/10.1007/s11192-009-0146-3), [Online]
  64. Vasile, G. (2018). Why Are We Afraid of Artificial Intelligence (Ai)? European Review of Applied Sociology, 11(17), 6–15. (DOI: 10.1515/eras-2018-0006),[Online]
  65. Veretekhina, S., Medvedeva, A., & Khitskov, E. (2017). Digital ecosystem of data. Direc- tions for the development of the government of russia and the identification of confi- dence in the ongoing changes in society. Economic and Social Development: Book of Proceedings, 437–445
  66. Veselov, G., Tselykh, A., Sharma, A., & Huang, R. (2021). Applications of artificial intelli- gence in evolution of smart cities and societies. Informatica, 45(5). (https:// doi.org/10.31449/inf.v45i5.3600), [Online]
  67. Wang, J., Veugelers, R., & Stephan, P. (2017). Bias against novelty in science: A cautionary tale for users of bibliometric indicators. Research Policy, 46(8), 1416–1436. (https:// doi.org/10.1016/j.respol.2017.06.006), [Online]
  68. Wankhade, M., Rao, A. C. S., & Kulkarni, C. (2022). A survey on sentiment analysis meth- ods, applications, and challenges. Artificial Intelligence Review, 55(7), 5731–5780. ( https://doi.org/10.1007/s10462-022-10144-1), [Online]
  69. Wolfe, A. (1991). Mind, self, society, and computer: Artificial intelligence and the sociology of mind. American Journal of Sociology, 96(5), 1073–1096
  70. Woolgar, S. (1985). Why not a sociology of machines? The case of sociology and artificial intelligence. Sociology, 19(4), 557–572
  71. World Health Organization. (2023). Statement on the fifteenth meeting of the IHR (2005) Emergency Committee on the Covid-19 pandemic. Retrieved from https://www.who.int/ news/item/05-05-2023-statement-on-the-fifteenth-meeting-of-the-international-health- regulations-(2005)-emergency-committee-regarding-the-coronavirus-disease-(covid-19)-pandemic?adgroupsurvey=%7Badgroupsurvey%7D&gclid=CjwKCAjwqZSlBhBwEi Yanuarti, E. A., & Suprapto, N. (2021). Ten years of research on history of science (physics): A bibliometric analysis. Studies in Philosophy of Science and Education, 2 (1), 7–16. (
  72. Zacharaki, A., Kostavelis, I., Gasteratos, A., & Dokas, I. (2020). Safety bounds in human robot interaction: A survey. Safety Science, 127, 104667. ( https://doi.org/10.1016/ j.ssci.2020.104667), [Online]
  73. Zajko, M. (2022). Artificial intelligence, algorithms, and social inequality: Sociological con- tributions to contemporary debates. Sociology Compass, 16(3), e12962. (https:// doi.org/10.1111/soc4.12962), [online]

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