Razi Journal of Medical Sciences

fa مدل دینامیک رویکرد شناختی کاربران ایرانی شبکه‌های اجتماعی در بحران کرونا با استفاده از هوش مصنوعی Dynamic Model for Cognitive Approach of Iranian Social Media Users in Covid-19 Crisis, Using Artificial Intelligence پزشکی اجتماعی Community Medicine پژوهشي Research زمینه و هدف: در دسامبر سال 2019 ویروس کرونا  از کشور چین شهر ووهان مرکز استان هوبئی آغاز شد و به سرعت بسیار زیادی گسترش یافت و در همه کشورها، آحاد جامعه و ارگان‌های دولتی را کاملاً به خود درگیر کرد. هدف از مطالعه‌ی حاضر بررسی مدل دینامیک رویکرد شناختی کاربران ایرانی شبکه‌های اجتماعی در بحران کرونا با استفاده از هوش مصنوعی بود. روش کار: از آنجا که برای نیل به این هدف، نیاز است پژوهشهای فراوانی صورت پذیرد و مسئله از ابعاد گوناگونی مورد بررسی قرار گیرد، روش متناسنتز انتخاب شد و به همین منظور فراخوانی در ماه‌های پایانی سال 1398 و با اوج گرفتن موج کرونا و تحت تأثیر قرار گرفتن شئون مختلف زندگی مردم، در ستاد توسعه علوم و فناوری‌های شناختی برگزار شد. برای این منظور، بالغ بر 25 میلیون پست زبان فارسی از رسانههای اجتماعی در بازه زمانی1 بهمن 98 الی 11 خرداد 99 جمعآوری، پیشپردازش و سپس در اختیار تیمهای علاقنمد قرارگرفت. سپس نتایج این طرحها در قالب 148 گزاره استخراج شده است. یافته‌ها: نتایج حاصله از تحلیل گزارهها، طی یک پژوهش کیفی منجر به شناسایی 11 مقوله اصلی شد که در 6 بعد مختلف از یک مدل جامع قرار میگرفتند. به این ترتیب ابعاد گوناگون رویکرد شناختی کاربران ایرانی رسانه‌های اجتماعی در این بحران طبیعی، ما را به یک مدل  جامع رساند که آن را "سامع" نامیدیم. نتیجه‌گیری: به طور کلی می‌توان بیان داشت که این مدل چنین مشخص میکند که تأثیرگذاران بر ذهنیات، احساسات و نگرش‌های ادراکی و رفتار کاربران در فضای مجازی مؤثر هستند و مجددآ رفتارها کاربران در فضای مجازی بر ذهنیات، احساسات و نگرشهای آنان تأثیرگذار است.   Background & Aims: In December 2019, the corona virus in China's Wuhan city, the center of Hubei province, and spread very quickly and completely involved society members and government bodies in all countries. On the other hand, today, with the existence of a new interface called social media, most of the natural conversations and expressions of people with each other and in small and large groups are recorded, and therefore, with the help of data mining and text mining tools, it is possible to analyze big data. Very close to the real estimates of what is going on in the public mind. The use of these emerging methods of computational analysis can provide an objective picture of what is happening in society in front of the eyes of the managers, and in this way, increase the quality of the analysis of managers and decision-makers lead to better policies and planning, and so on. These models can provide a basis for evaluating the effectiveness of adopted policies and programs. But in general, it can be said that at a time when there is still no clear understanding of the help that intelligent data mining can have by using cognitive approaches, among society members and managers of the country, the existence of such research can fulfill this understanding, expectation a, and demand. It created among society and its managers that, in principle, perceptions, and decisions should be made using methods that rely on objective big data. From this point of view, the importance of the current research is doubled in terms of the impact it will have in clarifying and introducing such methods and its macro decision makers. It is obvious that the error in perception is caused by unconscious perceptual biases, generalizing parts of society to the whole society, not being up-to-date with the changes and developments of social beliefs and ruling based on what was perceived in the past, and many other perceptual errors of this kind. , leads to decisions, criticisms, and, wrong behaviors that both lose resources and opportunities and waste the capital and public trust of the society finally, leads to decisions and policies that are not only ineffective but sometimes leave destructive and harmful effects on society and solve the crisis. Theoretically, this type of analysis is new in the space of media analysis, and the aspects that this research deals with the natural crisis of Corona are new and, of course, very practical. The combined use of artificial intelligence and cognitive science in analysis has a lot of room for growth and this research can encourage interdisciplinary research and theoretical activities in this field. From a practical point of view, the results of this research will be very useful and practical for all those who are involved in the field of macro policies, media people, also related business owners. The presentation of the results and achievements of this research can lead to the demands of the stakeholders, but during the time of the research and when its achievements were revealed, based on the request of the National Corona Headquarters and relevant decision-making institutions in the country, consultations were given based on the achievements. It was their request. Therefore, the key issue in the current research is to find a model to explain the dynamics of changing feelings and attitudes of Athenian society in the natural crisis of Corona. This research is conducted on Persian-speaking social media users and for Iranian society. Methods: Since in order to achieve this goal, it is necessary to carry out a lot of research and examine the problem from various dimensions, the method of Meta synthesis was chosen, and for this purpose, a call was made in the last months of 2018 and with the peak of the Corona wave. And is affected by various aspects of people's lives, was held at the headquarters of the development of cognitive sciences and technologies. For this purpose, more than 25 million Persian language posts from social media were collected, pre-processed, and then made available to interested teams between February 1, 1998, and June 11, 1999. Then, the results of these plans have been extracted in the form of 148 propositions. Results: The results of the analysis of propositions, during qualitative research, led to the identification of 11 main categories, which were placed in 6 different dimensions of a comprehensive model. In this way, various aspects of the cognitive approach of Iranian social media users in this natural crisis led us to a comprehensive model that we called "Samee". Conclusion: In general, it can be stated that this model specifies that the influencers are effective on the mentalities, emotions, and perceptual attitudes and behavior of users in cyberspace, and again, the behaviors of users in cyberspace are effective on their mentalities, emotions, and attitudes. It is impressive. When the data of this research was extracted and analyzed, it was related to the first months of the corona outbreak. Obviously, similar research will be needed to carry out this study until the end of the Corona era and even months after that and to examine the next events and the cognitive approaches of social network users. In addition, other types of crises occur in societies, which are not necessarily natural crises, but this method of analysis can be done on those crises as well, and its results can be examined and applied in society. Using the methods introduced in this research can provide very valuable achievements for the managers and policymakers of the country. The research that this research is based on, points to the limitations of any computational work in the social and cultural field. We will eat them. One of the very key tasks to pave the way for such analyzes is to conduct preliminary research, which will generally be either in the direction of creating the necessary infrastructure for computational social sciences or in the direction of the necessary infrastructure for linguistic analysis and natural language processing in Persian. Since the theories and algorithms used in natural language processing for the Persian language are generally derived from the same theories and algorithms of natural language processing, researchers that deal with natural language processing with a cognitive approach can be very innovative and solve many problems that in these fields, it should be resolved.   بحران کرونا, رسانه‌های اجتماعی, علوم شناختی, هوش مصنوعی, کاربران فارسی زبان Corona Crisis, Social Media, Cognitive Science, Artificial Intelligence, Persian Language Users 179 194 http://rjms.iums.ac.ir/browse.php?a_code=A-10-7375-1&slc_lang=fa&sid=1 Ali Nosrat علی نصرت 3900319475328460071288 3900319475328460071288 No PhD Student in Media Management, Department of Culture and Communication, Islamic Azad University, Central Tehran Branch, Tehran, Iran دانشجوی دکتری رشته مدیریت - مدیریت رسانه‌ای، گروه علوم ارتباطات اجتماعی، واحد تهران مرکزی، دانشگاه آزاد اسلامی، تهران، ایران MohammadReza Rasouli محمدرضا رسولی moh.rasouli@ahoo.com 3900319475328460071289 3900319475328460071289 Yes Associate Professor, Department of Culture and Communication, Islamic Azad University, Central Tehran Branch, Tehran, Iran دانشیار، گروه علوم ارتباطات اجتماعی، دانشکده علوم اجتماعی، ارتباطات و رسانه، واحد تهران مرکزی، دانشگاه آزاد اسلامی، تهران، ایران Akbar Nasrollahi Kasmani اکبر نصرالهی کاسمانی 3900319475328460071290 3900319475328460071290 No Assistant professor, Department of Culture and Communication, Islamic Azad University, Central Tehran Branch, Tehran, Iran استادیار، گروه علوم ارتباطات اجتماعی، دانشکده علوم اجتماعی، ارتباطات و رسانه، واحد تهران مرکزی، دانشگاه آزاد اسلامی، تهران، ایران