Designing and Explaining the National Map Criteria of the Geography of Nostalgia Based on the Information Management of Social Networks with a Qualitative Approach

Document Type : Original Article


1 Ph.D., Student, Department of Knowledge and Information Science, Faculty of Management, University of Tehran, Tehran, Iran

2 Assistant Professor, Department of Knowledge and Information Science, Faculty of Management, University of Tehran, Tehran, Iran


Purpose: The Nostalgic Memories in social networks, by reminding us that life has not always been difficult, instill a sense of stability and the ability to overcome difficulties. The purpose of this research is to design and explain the criteria of the geography map of nostalgia based on the information management of social networks with a qualitative approach, based on the structures of "characteristics of social networks for digital nostalgia"; "Elements of past information retrieval for recalling memories"; "Individual characteristics of social network users" are: "nostalgic experience-centric classification"; and "nostalgia based on user's geographic location".
Methods: The research method of this article is the qualitative analysis based on content analysis and using MAXQDA software. Here, content analysis is a method of taking and understanding seemingly unrelated information and systematically observing people, interactions, and situations. The studied population can be divided into three general groups: the first group includes university professors who have an opinion in the subject area (academic experts); The second group includes professionals working in businesses active in the field of marketing based on social networks (industry experts); And the third group including Iranian users in Instagram, Facebook and Twitter social networks (public stakeholders) was categorized. The sampling method in this research is the snowball technique. In order to carry out the qualitative part of the research, the opinions of 15 experts were collected in the form of interviews in the spring of 2021.
Findings: Based on the results of this research, the criteria of the national map of the geography of nostalgia based on the information management of social networks are: characteristics of social networks for digital nostalgia; Elements of past information retrieval to recall memories; Individual characteristics of social network users; Nostalgia based on the geographic location of the user and the central classification of the nostalgic experience.
One of the main results of this research is that the number of sharing nostalgia content with the highest frequency in the characteristics of social networks for digital nostalgia; Retrieval of past information was determined based on repetition with the highest frequency in the elements of retrieving past information to recall memories and the user's age factor with the highest frequency in the individual characteristics of social network users.
Conclusions: According to the findings of this research, according to the nostalgic content in social networks, it can be said that the geography of nostalgia is one of the main topics in the field of sociology and understanding people's interests and habits. The concept of the geography of nostalgia has had important effects on human emotional and experimental behavior and knowledge, and many science researchers believe that this concept has an inescapable effect on the epistemological patterns of societies. Many of the human emotions that affect humans in the form of concepts such as longing, nostalgia and homesickness have a special relationship with the concept of the geography of nostalgia and geographical identity. How geographic identity can control human behavior and emotions in these fields is one of the main results of this research. Findings related to the number of hits of nostalgia content; the number of shares of nostalgia content; The number of liking nostalgia content, with the research results of Bhattacharya, 2020 and Cruzado, et al. 2020 are aligned and the findings related to the user's gender factor; User age factor; The factor of user education, with the results of the researches of Gu, 2021, Wulf, et al. 2018 and Bhattacharya, 2020 is logical. Finally, one of the main discussions in the research is the division of nostalgia in the Iranian user community, which is compiled in the form of Iranian cultural generations.


Main Subjects

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