Journal articles on the topic 'Media Monitoring'

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1

Fiddick, Peter. "Monitoring the media." British Journalism Review 4, no. 2 (June 1993): 44–48. http://dx.doi.org/10.1177/095647489300400210.

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2

Valtonen, Sanna. "Monitoring Media Crisis." Nordicom Review 21, no. 2 (November 1, 2000): 157–70. http://dx.doi.org/10.1515/nor-2017-0378.

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3

Venzke-Caprarese, Sven. "Social Media Monitoring." Datenschutz und Datensicherheit - DuD 37, no. 12 (December 2013): 775–79. http://dx.doi.org/10.1007/s11623-013-0325-5.

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4

Seiler, D. A. L. "Monitoring mycological media." International Journal of Food Microbiology 2, no. 1-2 (June 1985): 123–31. http://dx.doi.org/10.1016/0168-1605(85)90066-2.

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5

Van Zyl, John. "Monitoring the media." Communicare: Journal for Communication Studies in Africa 13, no. 2 (November 7, 2022): 23–43. http://dx.doi.org/10.36615/jcsa.v13i2.1994.

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The Media Monitoring Project (MMP) was the leading organisation monitoring the total output of news in radio, television and print before and during South Africa's first democratic elections in April 1994. The main objective of the MMP was to monitor the vertical top-down distribution of information from powerful media institutions to citizens many of whom were first-time voters, the majority illiterate, unfamiliar with the concept of human rights and not accustomed to the language of democracy.After the elections the MMP has had to change its role from vertical to horizontal monitoring and to observe the equal distribution of Information TO all citizens, and FROM all citizens, and ensure that channels of access are available to all citizens. As Hamelink states: "Conventional human rights thinking focuses the vertical state-citizen on relation. This ignores the possibility that concentration of power in the hands of Individuals can be as threatening as state power Whenever citizens pursue different economic interests, individual human rights will be under serious threat. Citizens also need to be protected from each other"
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6

Tomaselli, Keyan G. "Media monitoring and methodology." Communicatio 20, no. 2 (January 1994): 84–88. http://dx.doi.org/10.1080/02500169408537982.

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7

Davydov, Sergey, and Olga Logunova. "Moscow districts’ social media communities: content and its moderation." MONITORING OF PUBLIC OPINION: economic&social changes, no. 1 (2018): 204–21. http://dx.doi.org/10.14515/monitoring.2018.1.10.

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8

Bengin, Senka. "METHODOLOGY OF MEDIA COVERAGE ANALYSES IN MEDIA MONITORING ORGANIZATIONS WITH PARTIAL DIGITALIZATION." FBIM Transactions 5, no. 1 (January 15, 2017): 13–24. http://dx.doi.org/10.12709/fbim.05.05.01.02.

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9

Johnson, Marcia K. "Reality monitoring and the media." Applied Cognitive Psychology 21, no. 8 (2007): 981–93. http://dx.doi.org/10.1002/acp.1393.

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10

Verbilovich, Olga. "“Forbidden trick”: disability and public scandal in traditional and online media." MONITORING OF PUBLIC OPINION: economic&social changes, no. 1 (2018): 253–66. http://dx.doi.org/10.14515/monitoring.2018.1.13.

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11

Grishaeva, Ekaterina, and Valeria Shumkova. "Traditionalist Orthodox Christian media: discourse structure and peculiarities of the functioning." MONITORING OF PUBLIC OPINION: economic&social changes, no. 2 (April 2018): 291–308. http://dx.doi.org/10.14515/monitoring.2018.2.17.

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12

Madianou, Mirca. "Полимедиа: новый подход к пониманию цифровых средств коммуникации в межличностном общении." MONITORING OF PUBLIC OPINION: economic&social changes, no. 1 (2018): 334–56. http://dx.doi.org/10.14515/monitoring.2018.1.17.

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13

Alguliyev, Rasim, and Saadat Aghayeva. "ONLINE MEDIA MONITORING: CURRENT STATE, PROBLEMS AND DEVELOPMENT PROSPECTS." Problems of Information Society 07, no. 1 (January 21, 2016): 56–62. http://dx.doi.org/10.25045/jpis.v07.i1.07.

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14

Sassetti, Francisca. "Social Media and Crowdsourced Election Monitoring." Politikon: The IAPSS Journal of Political Science 42 (September 16, 2019): 7–39. http://dx.doi.org/10.22151/politikon.42.1.

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With the rise of social media in Sub-Saharan Africa, citizen-led organizations in countries such as Kenya, Nigeria and Ghana have embraced crowdsourcing for domestic election monitoring, at a time when holding competitive elections has proven insufficient to ensure democratic elections. Yet, while existing literature focuses on the contrast between crowdsourcing and traditional monitoring, the effects of crowdsourced election monitoring on the transparency and quality of elections remain unaddressed. This paper makes a comparative analysis of elections in Nigeria from 2003-2015, framed within Sub-Saharan Africa, supported by a dataset of election monitoring deployments. Findings show that, in Nigerian elections where crowdsourcing was used, higher levels of election transparency were registered based on the introduction of the concept of participatory democracy and its practical application. This would, then, contribute to more peaceful and democratic elections. This research also sheds some light on the benefits of domestic election monitoring for citizen engagement.
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15

Kulkarni, Anushka. "Risk Analysis Through Social Media Monitoring." Sanshodhan 8, no. 1 (January 1, 2019): 95. http://dx.doi.org/10.53957/sanshodhan/2019/v8i1/142819.

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16

Elgün, Levent, and Jürgen Karla. "Social Media Monitoring: Chancen und Risiken." Controlling & Management Review 57, no. 1 (January 2013): 50–57. http://dx.doi.org/10.1365/s12176-013-0680-y.

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17

Grassie, G. "Media monitoring services: Meltwater or meltdown?" Journal of Intellectual Property Law & Practice 6, no. 8 (May 17, 2011): 530–34. http://dx.doi.org/10.1093/jiplp/jpr063.

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18

Jasper, Karin. "Monitoring and responding to media messages." Eating Disorders 1, no. 2 (June 1993): 109–14. http://dx.doi.org/10.1080/10640269308248278.

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19

Kamarchuk, G. V., A. P. Pospelov, A. V. Yeremenko, E. Faulques, and I. K. Yanson. "NEW NANOSENSORS FOR MONITORING GAS MEDIA." Sensor Electronics and Microsystem Technologies 4, no. 3 (October 2, 2007): 46–53. http://dx.doi.org/10.18524/1815-7459.2007.3.114014.

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20

Tiberio, Stacey S., David C. R. Kerr, Deborah M. Capaldi, Katherine C. Pears, Hyoun K. Kim, and Paulina Nowicka. "Parental Monitoring of Children’s Media Consumption." JAMA Pediatrics 168, no. 5 (May 1, 2014): 414. http://dx.doi.org/10.1001/jamapediatrics.2013.5483.

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21

S, Sadagopan. "Activity Pattern Mining from Social Media for Healthcare Monitoring on Big Data." Journal of Advanced Research in Dynamical and Control Systems 11, no. 0009-SPECIAL ISSUE (September 25, 2019): 294–98. http://dx.doi.org/10.5373/jardcs/v11/20192570.

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22

Ratkovic-Njegovan, Biljana, and Senka Bengin. "The media monitoring process in an environment of new media technologies." Godisnjak Fakulteta za kulturu i medije - komunikacije, mediji, kultura 6, no. 6 (2014): 317–28. http://dx.doi.org/10.5937/gfkm1406317r.

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23

Broll, Ryan, Claire V. Crooks, Shanna Burns, Ray Hughes, and Peter G. Jaffe. "PARENTAL MONITORING, MEDIA LITERACY, AND MEDIA VIOLENCE: A PRELIMINARY EVALUATION OF THE FOURTH R PARENT MEDIA VIOLENCE WORKSHOP." International Journal of Child, Youth and Family Studies 4, no. 2 (April 10, 2013): 301. http://dx.doi.org/10.18357/ijcyfs42201311602.

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<p>As youth's lives have become increasingly infused with all types of media, debates regarding the effect of violent media on youth have emerged. Within this debate, parental monitoring has been identified as an important protective factor against some negative outcomes. Accordingly, the Fourth R Parent Media Violence Workshop was developed to educate parents about the importance of setting rules around media use and to encourage parents to monitor their children's media consumption. Two waves of data were collected six months apart (nTime 1=226, nTime 2=52) with parents who attended the workshop, and results indicate that parents engaged in enhanced, appropriately restrictive and active monitoring practices following the workshop. A significant decrease in children's media consumption was also reported between Time 1 and Time 2. The results provide preliminary evidence to suggest that even short, one-time intensive workshops for parents can move parents' behaviours in the intended direction and positively impact their monitoring strategies.</p>
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24

Yuksel, G. Z. "UKRAINE IN THE CRIMEA MEDIA: MONITORING RESULTS." Scientific notes of Taurida National V.I. Vernadsky University, series Philology. Social Communications 4, no. 4 (2020): 192–99. http://dx.doi.org/10.32838/2663-6069/2020.4-4/32.

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25

Perakakis, Emmanouil, George Mastorakis, and Ioannis Kopanakis. "Social Media Monitoring: An Innovative Intelligent Approach." Designs 3, no. 2 (May 20, 2019): 24. http://dx.doi.org/10.3390/designs3020024.

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Digital marketers have a range of tools at their disposal for understanding customers and prospects on social media. These tools allow for better social media monitoring and analysis through the provision of vital insights. The use of artificial intelligence (AI) to such analysis enables for marketing tasks automation, accuracy improvement and human efforts reduction. In this respect, this paper proposes an AI-powered social media monitoring platform, which has been designed with an innovative approach, towards enabling digital marketers to better understand customers with intelligent insights in a manner like never before. The proposed platform helps by analyzing insights for effective online reputation management and competitors monitoring. In addition, this paper elaborates on contributions in respect to social media monitoring issues, mentions analysis uncovering knowledge, smarter insights and personalized advice to help in improving brands web and social presence, negative and positive conversations, competitors analysis ensuring brands are on top of the marketing game and social media strategy improvement.
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26

Wang, Zhibo, Lei Ke, Xiaohui Cui, Qi Yin, Longfei Liao, Lu Gao, and Zhenyu Wang. "Monitoring Environmental Quality by Sniffing Social Media." Sustainability 9, no. 2 (February 10, 2017): 85. http://dx.doi.org/10.3390/su9020085.

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27

Khorakhun, Chonlatee, and Saleem N. Bhatti. "Remote Health Monitoring Using Online Social Media." ICST Transactions on Ubiquitous Environments 1, no. 3 (November 17, 2014): e2. http://dx.doi.org/10.4108/ue.1.3.e2.

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28

Dhania, Ritika. "Sentiment Analysis Approaches for Social Media Monitoring." International Journal for Research in Applied Science and Engineering Technology V, no. VIII (August 29, 2017): 627–33. http://dx.doi.org/10.22214/ijraset.2017.8091.

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29

张, 佳慧. "Effects of Media Multitasking on Metacognitive Monitoring." Advances in Psychology 12, no. 06 (2022): 2050–57. http://dx.doi.org/10.12677/ap.2022.126242.

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30

König, Gerd, and Christian Gügi. "Social Media Monitoring mit Big Data Technologien." HMD Praxis der Wirtschaftsinformatik 51, no. 4 (May 3, 2014): 424–35. http://dx.doi.org/10.1365/s40702-014-0041-0.

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31

Semenov, Alexander, and Jari Veijalainen. "A modelling framework for social media monitoring." International Journal of Web Engineering and Technology 8, no. 3 (2013): 217. http://dx.doi.org/10.1504/ijwet.2013.057226.

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32

Sidana, Sumit, Sihem Amer-Yahia, Marianne Clausel, Majdeddine Rebai, Son T. Mai, and Massih-Reza Amini. "Health Monitoring on Social Media over Time." IEEE Transactions on Knowledge and Data Engineering 30, no. 8 (August 1, 2018): 1467–80. http://dx.doi.org/10.1109/tkde.2018.2795606.

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33

Faitli, J., K. Bohács, and G. Mucsi. "Online rheological monitoring of stirred media milling." Powder Technology 308 (February 2017): 20–29. http://dx.doi.org/10.1016/j.powtec.2016.12.021.

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34

Petkus, Vytautas, Arminas Ragauskas, and Rytis Jurkonis. "Investigation of intracranial media ultrasonic monitoring model." Ultrasonics 40, no. 1-8 (May 2002): 829–33. http://dx.doi.org/10.1016/s0041-624x(02)00216-0.

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35

Lyra, Matti, Daoud Clarke, Hamish Morgan, Jeremy Reffin, and David Weir. "High Value Media Monitoring With Machine Learning." KI - Künstliche Intelligenz 27, no. 3 (June 14, 2013): 255–65. http://dx.doi.org/10.1007/s13218-013-0255-2.

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36

Thute, Charudatta. "Social media monitoring: paradigm shift in CRM." International Journal of Electronic Customer Relationship Management 7, no. 3/4 (2013): 231. http://dx.doi.org/10.1504/ijecrm.2013.060699.

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37

Xu, Jun Wu, and Jun Ling Liang. "Develop Monitoring System with Java Media Frame." Advanced Materials Research 631-632 (January 2013): 1260–64. http://dx.doi.org/10.4028/www.scientific.net/amr.631-632.1260.

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This paper describes research in the use of The Java Media Framework (JMF) to develop Monitoring applications.. This paper introduces the structure of JMF library and describes the implementation of algorithms in our library. The Java Media Framework (JMF) is a recent API for Java dealing with real-time multimedia presentation and effects processing. JMF handles time-based media, media which changes with respect to time. Examples of this are video from a television source, audio from a raw-audio format file and animations.
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38

Shah, Bisma, and Farheen Siddiqui. "Sentiment Analysis Approaches for Social Media Monitoring." Indian Journal of Computer Science and Engineering 9, no. 1 (February 20, 2018): 1–11. http://dx.doi.org/10.21817/indjcse/2018/v9i1/180901100.

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39

ELISTRATOVA, Olga A. "MASS MEDIA NARCOTISM DISCOURCE." Monitoring of public opinion economic&social changes, December 2016. http://dx.doi.org/10.14515/monitoring.2016.6.09.

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40

Schreiber, Marlene. "Social Media Monitoring." PinG Privacy in Germany, no. 1 (January 3, 2014). http://dx.doi.org/10.37307/j.2196-9817.2014.01.13.

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41

MOROZOV, Evgeny M. "CLERGY PUBLIC IMAGE IN MASS MEDIA." Monitoring of public opinion economic&social changes, December 2016. http://dx.doi.org/10.14515/monitoring.2016.6.10.

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42

YARTSEVA, Natalya V., and Vladimir S. YARTSEV. "CHARLES OSGOOD TECHNIQUE FOR COMPUTER-ASSISTED MEDIA MONITORING." Monitoring of public opinion economic&social changes, November 2017. http://dx.doi.org/10.14515/monitoring.2017.5.04.

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43

SHARIKOV, Aleksandr V., and Olga Ya ERMOLAEVA. "RUSSIAN SOCIOLOGY AND MEDIA: RET - ROSPECTIVE APPROACH(1765-2000)." Monitoring of public opinion economic&social changes 4, no. 2016 (August 2016). http://dx.doi.org/10.14515/monitoring.2016.4.07.

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44

NAGORNYY, Oleg S. "REPRESENTATION OF ETHNICITY IN THE RUSSIAN-SPEAKING SOCIAL MEDIA." Monitoring of public opinion economic&social changes, October 2017. http://dx.doi.org/10.14515/monitoring.2017.4.11.

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45

BRODOVSKAYA, Elena V., Anna Y. DOMBROVSKAYA, and Alexey V. SINYAKOV. "SOCIAL MEDIA STRATEGIES IN MODERN RUSSIA: RESULTS OF MULTIDIMENSIONAL SCALING." Monitoring of public opinion economic&social changes, January 2016. http://dx.doi.org/10.14515/monitoring.2016.1.13.

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46

Родионова, Елизавета Валерьевна, and Юлия Паулевна Байер. "A Place for Salvation or Torture: The Image of the Russian Orthodox Church in Secular Media During the COVID-19 Pandemic." Monitoring of public opinion economic&social changes, no. 6 (December 30, 2020). http://dx.doi.org/10.14515/monitoring.2020.6.1748.

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Hjarvard in his work “Mediatization and religion” noted that it is becoming increasingly difficult to control public representations of religion in the media. The difficulty is that religious media, religious journalism, and “banal religion” speak very different languages. During the pandemic, a debate broke out among believers and non-believers about whether to close churches and parishes on the quarantine period. By the decree of the Patriarch, all services in churches were to be performed without the participation of the parishioners. The secular media did not stay away the discussion either. In our study, we analyse a number of texts (articles) from three major news portals: Fontanka.ru (regional level, Saint Petersburg), the newspaper "Arguments and Facts" (Federal level) and the newspaper "Moskovsky Komsomolets" (regional level, Moscow). Articles were analysed for the period from March 15 to June 15, 2020. The main working hypothesis was the assumption that the image of the Russian Orthodox Church (ROC) in the secular media would change depending on the actions of the Church itself during the pandemic, but in general it would be reproduced rather in a negative way. The content analysis of the data confirmed this hypothesis, both for the media and for their audience. The desire of the ROC to perform services during the pandemic was considered in the media as a wrecking activity that threatens the lives of parishioners. Also The Russian Orthodox Church in the pandemic intensified the process of digitalization of interaction with parishioners
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47

DOVBYSH, Olga S., and Elena A. GUDOVA. "GOVERNMENT INFORMATION CONTRACTS AND THEIR IMPORTANCE FOR RUSSIAN REGIONAL MEDIA MARKETS." Monitoring of public opinion economic&social changes, December 2016. http://dx.doi.org/10.14515/monitoring.2016.6.08.

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48

GUSEVA, Polina D. "MEDIA COVERAGE OF 2014 SCOTTISH INDEPENDENCE REFERENDUM FROM MEDIATIZATION THEORY PERSPECTIVE." Monitoring of public opinion economic&social changes, November 2017. http://dx.doi.org/10.14515/monitoring.2017.5.18.

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49

SEMYKINA, Kseniia S. "SAME-SEX MARRIAGE IN THE RUSSIAN MEDIA: BETWEEN NEUTRALITY AND ANXIETY." Monitoring of public opinion economic&social changes, November 2017. http://dx.doi.org/10.14515/monitoring.2017.5.19.

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50

Danilova, Vera V., Svetlana V. Popova, and Vera M. Karpova. "A Pipeline for Graph-Based Monitoring of the Changes in the Information Space of Russian Social Media during the Lockdown." Monitoring of public opinion economic&social changes, no. 6 (December 30, 2021). http://dx.doi.org/10.14515/monitoring.2021.6.2044.

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With the COVID-19 outbreak and the subsequent lockdown, social media became a vital communication tool. The sudden outburst of online activity influenced information spread and consumption patterns. It increases the relevance of studying the dynamics of social networks and developing data processing pipelines that allow a comprehensive analysis of social media data in the temporal dimension. This paper scopes the weekly dynamics of the information space represented by Russian social media (Twitter and LiveJournal) during a critical period (massive COVID-19 outbreak and first governmental measures). The approach is twofold: 1) build the time series of topic similarity indicators by identifying COVID-related topics in each week and measuring user contribution to the topic space, and 2) cluster user activity and display user-topic relationships on graphs in a dashboard application. The paper describes the development of the pipeline, explains the choices made and provides a case study of the adaptation to virus control measures. The results confirm that social processes and behavior in response to pandemic-triggered changes can be successfully traced in social media. Moreover, the adaptation trends revealed by psychological and sociological studies are reflected in our data and can be explored using the proposed method.
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