Vestnik of Saint Petersburg University. Psychology
2017. Vol. 7, no. 4, 308–327
ISSN: 2658-3607 / 2658-6010 (online)
Organisational and Methodological Issues of Data Collection in an Internet Based Study of Facebook Users from Russia and USA
Abstract
The article presents a detailed description of the major steps and a description of the basic findings of the project aimed to gather psychological, demographic and text data of Facebook users from Russia and the USA by means of a special web-application and subsequently analyze them. Psychological characteristics were evaluated with the help of online questionnaires with the built-in feedback (e. g. Short Dark Triad, moral disengagement, subjective wellbeing WHO-5, SWLS, PC PTSD scales). Besides, on participants’ consent, the application downloaded demographic data from their accounts and their public wall posts’ texts that were later analyzed with linguistic methods. The article for the first time in Russia presents the description of each step of that kind of research, including the ads campaign on Facebook expenses for Russia and USA (which allowed to distribute the link to the application). It also presents a number of significant research findings of the project being finalized at St. Petersburg State University. We mention the necessary points in data collection for the colleagues who plan to organize similar research, including those in terms of time, money, software development, feedback phrasing. We also draw attention to the possible technical, organizational and methodological complications and also to the means to overcome them based on our experience.
General Information
Keywords: methods of data collection, the milestones of an internet based study, social networks, Facebook, social networks users’ behavior, data collection by means of application, the feedback in internet based studies
Journal rubric: General Psychology, Personality Psychology, History of Psychology
Article type: scientific article
For citation: Ledovaya Y.A., Tikhonov R.V., Ivanov V.Y., Yaminov B.R., Bogolyubova O.N. Organisational and Methodological Issues of Data Collection in an Internet Based Study of Facebook Users from Russia and USA. Vestnik of Saint Petersburg University. Psychology, 2017. Vol. 7, no. 4, pp. 308–327. (In Russ., аbstr. in Engl.)
References
Ledovaia Ia.A., Tikhonov R.V., Bogoliubova O.N. Sotsial’nye seti kak novaia sreda dlia mezhdistsiplinarnykh issledovanii povedeniia cheloveka [Social Networks as a New Environment for Interdisciplinary Studies of Human Behavior]. Vestnik SPbSU. Psychology and Education, 2017, vol. 7, no. 3, pp. 193–200. (In Russian)
Issledovatel’skii kholding Romir. Sotsial’no-setevaia zhizn’ [Research holding Romir. Life in social networks], 2015. Available at: http://romir.ru/studies/670_1432155600/ (accessed: 21.08.2017).
Mander J. Daily time spent on social networks rises to over 2 hours. GlobalWebIndex, 2017. Available at: http://blog.globalwebindex.net/chart-of-the-day/daily-time-spent-on-social-networks/ (accessed: 12.08.2017).
Mander J., McGrath F. GWI Social Summary: GlobalWebIndex’s quarterly report on the latest trends in social networking [Flagship Report Q1 2017]. Available at: http://www.globalwebindex.net/ (accessed: 30.08.2017).
Kosinski M., Matz S., Gosling S., Popov V., Stillwell D. Facebook as a research tool for the social sciences: Opportunities, challenges, ethical considerations, and practical guidelines. Am. Psychol, 2015, vol. 70, no. 6, pp. 543–556.
Guntuku S.C., Yaden D.B., Kern M.L., Ungar L.H., Eichstaedt J.C. Detecting depression and mental illness on social media: an integrative review. Curr. Opin. Behav. Sci. , 2017, vol. 18, pp. 43–49.
Khachuian A. Mozhno li opredelit’ terrorista po ego tsifrovomu sledu [videozapis’ lektsii] [Is it possible to identify a terrorist using his digital footprint]. YouTube, June, 2. 2017. Available at: https://www. youtube.com/watch?v=vNmANAFB0EQ (accessed: 29.10.2017). (In Russian)
Online Bullying Among Youth 8–17 Years Old — Russia [Report Q2-CY2012] / Cross-Tab Marketing Services & Telecommunications Research Group for Microsoft Corporation, 2012. Available at: https://www. microsoft.com/en-us/download/details.aspx?id=30148 (accessed: 10.06.2017).
Ybarra M.L., Mitchell K.J., Wolak J., Finkelhor D. Examining Characteristics and Associated Distress Related to Internet Harassment: Findings From the Second Youth Internet Safety Survey. Pediatrics, 2006, vol. 118, no. 4, pp. e1169–e1177.
Bech P. Health-related quality of life measurements in the assessment of pain clinic results. Acta Anaesthesiol. Scand. , 1999, vol. 43, no. 9, pp. 893–896.
Indeks obshchego (khoroshego) samochuvstviia VOZ [WHO well-being index]. Psychiatric Research Unit. WHO Collaborating Center for Mental Health, Frederiksborg General Hospital, 1999. Available at: https://www.psykiatri-regionh.dk/who-5/Documents/WHO5_Russian.pdf (accessed: 15.08.2017). (In Russian)
Diener E., Emmons R.A., Larsen R.J., Griffin S. The Satisfaction With Life Scale. J.Pers. Assess. Lawrence Erlbaum Associates, Inc. 1985, vol. 49, no. 1, pp. 71–75.
Ledovaia Ia. A., Bogolyubova O.N., Tikhonov R.V. Stress, blagopoluchie i Temnaia triada [Stress, Well-being and the Dark Triad]. Psikhologicheskie issledovaniia, 2015, vol. 8, no. 43, p. 5. Available at: http:// psystudy.ru/index.php/num/2015v8n43/1185-ledovaya43.html (accessed: 01.09.2017). (In Russian)
Jones D.N., Paulhus D.L. Introducing the Short Dark Triad (SD3). Assessment, 2014, vol. 21, no. 1, pp. 28–41.
Egorova M. S., Sitnikova M.A., Parshikova O.V. Adaptatsiia Korotkogo oprosnika Temnoi triady [Adaptation of the Short Dark Triad]. Psikhologicheskie issledovaniia, 2015, vol. 8, no. 43, p. 1. Available at: http://psystudy.ru/num/2015v8n43/1181-egorova43.html (accessed: 01.09.2017). (In Russian)
Bandura A. Social foundations of thought and action: A social cognitive theory. Englewood Cliffs, NJ: Prentice-Hall Inc, 1985. 544 p.
Moore C., Detert J.R., Klebe Treviño L., Baker V.L., Mayer D.M. Why employees do bad things: Moral disengagement and unethical organizational behavior. Pers. Psychol. , 2012, vol. 65, no. 1, pp. 1–48.
Ledovaia Ia.A., Tikhonov R.V., Bogoliubova O.N., Kazennaia E.V., Sorokina Iu.L. Otchuzhdenie moral’noi otvetstvennosti: psikhologicheskii konstrukt i metody ego izmereniia [Moral Disengagement: the Psychological Construct and its Measurement]. Vestnik SPbSU. Series 16. Psychology. Education, 2016, issue 4, pp. 23–39. (In Russian)
Prins A., Ouimette P., Kimerling R., Camerond R.P., Hugelshofer D. S., Shaw-Hegwer J., Sheikh J.I. The primary care PTSD screen (PC–PTSD): development and operating characteristics. Prim. Care Psychiatry, 2004, vol. 9, no. 1, pp. 9–14.
Bogolyubova O., Tikhonov R., Ivanov V., Panicheva P., Ledovaya Ya. Violence Exposure, Posttraumatic Stress, and Subjective Well-Being in a Sample of Russian Adults. J.Interpers. Violence, 2017, pp. 1–16. Available at: https://doi.org/10.1177/0886260517698279 (accessed: 01.10.2017).
Bogolyubova O., Panicheva P., Tikhonov R., Ivanov V., Ledovaya Ya. Dark Personalities on Facebook: Harmful Online Behaviors and Language. Comput. Human Behav. Elsevier Ltd, 2018, vol. 78, pp. 151–159. Available at: https://doi.org/10.1016/j.chb.2017.09.032 (accessed: 01.10.2017).
Panicheva P., Ledovaya Ya., Bogolyubova O. Lexical, Morphological and Semantic Correlates of the Dark Triad Personality Traits in Russian Facebook Texts. Proc. Artif. Intell. Nat. Lang. Conf. (AINL 2016) , 2016, pp. 1–8. Available at: http://ieeexplore.ieee.org/document/7891860/ (accessed: 01.10.2017).
Panicheva P., Mirzagitova A., Ledovaya Y. Semantic Feature Aggregation for Gender Identification in Russian Facebook. AINL 2017: Artificial Intelligence and Natural Language. Eds A. Filchenkov, L. Pivovarova, J. Žižka. Communications in Computer and Information Science, vol 789. Springer, Cham. 2018, pp. 3–15. URL: https://link.springer.com/chapter/10.1007/978-3-319-71746-3_1 (accessed: 01.12.2017).
Moskvichev A., Dubova M., Menshov S., Filchenkov A. Using Linguistic Activity in Social Networks to Predict and Interpret Dark Psychological Traits. AINL 2017: Artificial Intelligence and Natural Language. Eds A. Filchenkov, L. Pivovarova, J. Žižka. Communications in Computer and Information Science, vol. 789. Springer, Cham. 2018, рp. 16–26. URL: https://link.springer.com/chapter/10.1007/978-3-319-71746-3_2 (accessed: 01.12.2017).
Crowne D.P., Marlowe D. A new scale of social desirability independent of psychopathology. J.Consult. Psychol. , 1960, vol. 24, no. 4, pp. 349–354.
Kolichestvo aktivnykh pol’zovatelei Facebook v Rossii sostavliaet 14,4 mln chelovek [The number of active Facebook users in Russia is 14.4 million people]. Rambler News Service, 2016. Available at: https://rns.online/internet/Kolichestvo-aktivnih-polzovatelei-Facebook-v-Rossii-sostavlyaet-144-mlnchelovek-2016-05-13/ (accessed: 01.09.2017). (In Russian)
Guðmundsdóttir H., Ólason D., Guðmundsdóttir D., Sigurðsson J.F. A psychometric evaluation of the Icelandic version of the WHO-5. Scand. J.Psychol. , 2014, vol. 55, no. 6, pp. 567–572.
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