Yıl: 2021 Cilt: 6 Sayı: 1 Sayfa Aralığı: 329 - 342 Metin Dili: İngilizce DOI: 10.47107/inifedergi.872896 İndeks Tarihi: 29-07-2022

OVERLOADING IN LOCKDOWN: EFFECTS OF SOCIAL, INFORMAT

Öz:
Many technologies such as Internet, smart tools, social networks have been involved in human life. This increasing prevalence of social networks leaves users facing an overwhelming amount of information, messages, sharing, and social demand. This excess amount is defined as overload. The amount of information constantly flowing in users’ networks, social support and communication requests from others can cause fatigue. Overload in social networks can have behavioral and psychological consequences. In this study, a model was used in the context of the SSO (Stress-Strain-Outcome) framework and the changes caused by social, communication and information overloading in an individual’s attitudes and behaviors were examined. The research was applied in survey technique and 274 participants’ responses were analyzed in this study that examined the experiences of social network users during the Covid-19 process. Outliers in the data are arranged by Mahalanobis distance. Before the use of the scales, factor analyses were performed and their validity was measured. According to the results, only information overload has a significant effect on fatigue. Social and communication overloads do not significantly affect fatigue. Fatigue, on the other hand, has a significant relationship with discontinuous intentions. Users who experience information overloading may experience discontinuous intentions towards social networks. However, it cannot be said that social and communication overloads have caused discontinuous intentions. Although users have high averages in social overload and communication overload, it does not cause fatigue in social networks. Users who have to stay in homes, especially during the quarantine period, can continue to spend time on social networks, despite overloads. In terms of gender, women were found to feel more overloaded on social networks. Women experience more communication, information and social overload. In addition, the fatigue and discontinuous intentions averages are significantly higher.
Anahtar Kelime: Social Overload Social Networks Information Overload Communication Overload

KARANTİNADA AŞIRIYÜKLEME: COVID-19 GÜNLERİNDE SOSYAL AĞLARA DEVAM ETMEME NİYETLERİ

Öz:
İnternet, akıllı araçlar, sosyal ağlar gibi birçok teknoloji son yıllarda insan hayatına dahil olmuştur. Sosyal ağlar bu teknolojik araçların en önemlilerindendir. Sosyal ağların artan bu yaygınlığı, kullanıcıları baş edemeyecekleri, işleyemeyecekleri miktarda bilgi, mesaj, paylaşım ve sosyal taleple karşı karşıya bırakmaktadır. Bu baş edilemeyecek miktarda akış, aşırıyükleme olarak tanımlanmaktadır. Kullanıcılar ağlarında sürekli akan bilgi miktarından, diğerlerinden gelen sosyal destek, iletişim gibi taleplerden yılgınlık yaşayabilmektedir. Sosyal ağlarda aşırıyüklenme, davranışsal ve psikolojik sonuçlar doğurabilmektedir. Bu çalışmada, Stres-Zorlanma-Çıktı (SSO: Stress-Strain-Outcome) çerçevesi bağlamında bir model kullanılmış ve bireyin tutum ve davranışlarında sosyal, iletişim ve bilgi aşırı yüklenmesinden kaynaklanan değişiklikler incelenmiştir. Araştırma tarama modelinde uygulanmıştır ve Covid-19 sürecinde sosyal ağ kullanıcılarının deneyimlerini inceleyen bu çalışmada 274 katılımcının cevabı analiz edilmiştir. Verilerdeki aykırı değerler, mahalanobis uzaklığı ile düzenlenmiştir. Veriler değerlendirilmeden önce faktör analizleri yapılmış ve geçerliliği ölçülmüştür. Elde edilen sonuçlara göre, sadece bilgi aşırıyüklenmesinin ağ yılgınlığı üzerinde anlamlı bir etkisi vardır. Sosyal ve iletişim aşırıyüklemeleri ağ yılgınlığını anlamlı bir şekilde etkilememektedir. Ağ yılgınlığı, diğer taraftan, devam etmeme niyeti ile anlamlı bir ilişkiye sahiptir. Artan ağ yılgınlığı, devam etmeme niyetini artırmaktadır. Bilgi aşırıyüklemesi yaşayan kullanıcılar, sosyal ağlara yönelik devam etmeme niyeti yaşayabilmektedir. Bununla birlikte, sosyal ve iletişim aşırıyüklemelerinin devam etmeme niyetine yol açmadığı görülmüştür. Kullanıcılar her ne kadar sosyal aşırıyükleme ve iletişim aşırıyüklemesinde yüksek ortalamalara sahip olsalar da sosyal ağlara yönelik yılgınlığa neden olmamaktadır. Özellikle karantina döneminde evlerde kalmak zorunda olan kullanıcıların yapacakları şeylerin sınırlı olması, aşırıyüklemelere rağmen sosyal ağlarda vakit geçirmeye devam edebilmektedir. Cinsiyet açısından ise, kadınların sosyal ağlarda daha fazla aşırıyükleme deneyimlediği tespit edilmiştir. Kadınlar daha fazla iletişim, bilgi ve sosyal aşırıyükleme yaşamaktadır. Ayrıca ağ yılgınlığı ve devam etmeme niyeti ortalamaları anlamlı şekilde daha yüksektir.
Anahtar Kelime: Covid-19

Belge Türü: Makale Makale Türü: Araştırma Makalesi Erişim Türü: Erişime Açık
  • Allen, D. and Wilson, T. D. (2003). Information overload: Context and causes. The New Review of Information Behaviour Research, 4(1), 31–44.
  • Allington, D., Duffy, B., Wessely, S., Dhavan, N. and Rubin, J. (2020). Health-protective behaviour, social media usage, and conspiracy belief during the COVID-19 public health emergency. Psychological Medicine, 1–15.
  • Amirkhan, J. (2011). Stress overload: A new approach to the assessment of stress. American Journal of Community Psychology, 49, 55–71.
  • Baum, A. and Valins, S. (1977). Architecture and social behavior: Psychological study of social density. New York: Wiley.
  • Bawden, D. and Robinson, L. (2009). The dark side of information: Overload, anxiety and other paradoxes and pathologies. Journal of Information Science, 35(2), 180–191.
  • Benselin, J. C. and Ragsdell, G. (2015). Information overload: The differences that age makes. Journal of Librarianship and Information Science, 48(3), 284-297.
  • Blair, A. (2011). Information overloadings 2,300-year-old history. Harvard Business Review, 3.
  • Bright, L. F., Kleiser, S. B. and Grau, S. L. (2015). Too much Facebook? An exploratory examination of social media fatigue. Computers in Human Behavior, 44, 148–155.
  • Cao, X., Khan, A., Ali, A. and Khan, N. (2019). Consequences of cyberbullying and social overload while using SNSs: A study of users’ discontinuous usage behavior in SNSs. Information Systems Frontiers, 22, 1343-1356.
  • Cao, X. and Sun, J. (2018). Exploring the effect of overload on the discontinuous intention of social media users: An S-O-R perspective. Computers in Human Behavior, 81, 10–18.
  • Cherubini, M., Gutierrez, A., De Oliveira, R. and Oliver, N. (2010, April). Social tagging revamped: supporting the users’ need of self-promotion through persuasive techniques. Proceedings of the SIGCHI Conference on Human Factors in Computing Systems. (p. 985-994). ACM.
  • Cho, J., Ramgolam, D. I., Schaefer, K. M. and Sandlin, A. N. (2011). The rate and delay in overload: An investigation of communication overload and channel synchronicity on identification and job satisfaction. Journal of Applied Communication Research, 39(1), 38–54.
  • Doll, W. J., Xia, W. and Torkzadeh, G. (1994). A confirmatory factor analysis of the enduser computing satisfaction instrument. MIS Quarterly, 18(4), 453–461.
  • Farhoomand, A. and Drury, D. (2002). Managerial information overload. Commun. ACM, 45, 127–131.
  • Fornell, C. and Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18(1), 39–50.
  • Fu, S., Li, H., Liu, Y., Pirkkalainen, H. and Salo, M. (2020). Social media overload, exhaustion, and use discontinuance: Examining the effects of information overload, system feature overload, and social overload. Information Processing & Management, 57(6), 102307.
  • Goel, A. and Gupta, L. (2020). Social media in the times of COVID-19. Journal of Clinical Rheumatology, 26(6), 220-223.
  • Gouws, R. H. and Tarp, S. (2016). Information overload and data overload in lexicography. International Journal of Lexicography, 30(4), 389–415.
  • Hair, J. F., Anderson, R. E., Tatham, R. L. and Black, W. C. (1998). Multivariate data analysis. Upper Saddle River, NJ: Prentice Hall.
  • Hargittai, E., Neuman, W. R. and Curry, O. (2012). Taming the information tide: Perceptions of information overload in the american home. The Information Society, 28(3), 161–173.
  • Holmes, R. (2020). Is COVID-19 social media’s levelling up moment? Forbes. https://www.forbes.com/sites/ryanholmes/2020/04/24/is-covid-19-social-mediaslevelling-up-moment/?sh=453fb86a6c60, Erişim Tarihi: 20.12.2020.
  • Hoq, K. (2016). Information overload: Causes, consequences and remedies - A Study. Philosophy and Progress, 55, 49.
  • Karr-Wisniewski, P. and Lu, Y. (2010). When more is too much: Operationalizing technology overload and exploring its impact on knowledge worker productivity. Computers in Human Behavior, 26(5), 1061–1072.
  • Koeske, G. F. and Koeske, R. D. (1993). A preliminary test of a stress-strain-outcome model for reconceptualizing the burnout phenomenon. Journal of Social Service Research, 17(3–4), 107–135.
  • Koroleva, K., Krasnova, H. and Günther, O. (2010). “Stop spamming me!” - Exploring information overload on Facebook. 16th Americas Conference on Information Systems, August 12-15, 2010, Peru.
  • Laato, S., Islam, A. K. M. N., Islam, M. N. and Whelan, E. (2020). What drives unverified information sharing and cyberchondria during the COVID-19 pandemic? European Journal of Information Systems, 29(3), 288–305.
  • Larose, R., Connolly, R., Lee, H., Li, K. and Hales, K. (2014). Connection overload? A cross cultural study of the consequences of social media connection. Information Systems Management, 31, 59–73.
  • Laumer, S., Maier, C., Weitzel, T. and Wirth, J. (2016). Drivers and consequences of frustration when using social networking services: A quantitative analysis of facebook users. 22th Americas Conference on Information Systems, August 11-14, 2016, San Diego.
  • Lee, A. R., Son, S.-M. and Kim, K. K. (2016). Information and communication technology overload and social networking service fatigue: A stress perspective. Computers in Human Behavior, 55, 51–61.
  • Lee, S., Lee, S. C. and Suh, Y. (2016). Technostress from mobile communication and its impact on quality of life and productivity. Total Quality Management & Business Excellence, 27, 1–16.
  • Levy, D. M. (2009). Information overload. K.E. Himma and H.T. Tavani (Ed.), The handbook of information and computer ethics (p. 497-515). New York: Wiley.
  • Maier, C, Laumer, S., Eckhardt, A. and Weitzel, T. (2012). When social networking turns to social overload: Explaining the stress, emotional exhaustion, and quitting behavior from social network sites’ users. ECIS 2012 - 20th European Conference on Information Systems, 10-13 June, 2013, Barcelona.
  • Maier, Christian, Laumer, S. and Weinert, C. (2013). The negative side of ICT-enabled communication: the case of social interaction overload in online social networks. ECIS 2013 - 21th European Conference on Information Systems, 6-8 June, 2013 Utrecht.
  • McCarthy, D. and Saegert, S. (1978). Residential density, social overload, and social withdrawal. Human Ecology, 6(3), 253–272.
  • Meyer, J. A. (1998). Information overload in marketing management. Marketing Intelligence & Planning, 16(3), 200-209.
  • Misra, S. and Stokols, D. (2012). Psychological and health outcomes of perceived information overload. Environment and Behavior, 44, 737–759.
  • Nabity-Grover, T., Cheung, C. and Thatcher, J. (2020). Inside out and outside in: How the COVID-19 pandemic affects self-disclosure on social media. International Journal of Information Management, 55, 102188.
  • Nawaz, M. A., Shah, Z., Nawaz, A., Asmi, F., Hassan, Z. and Raza, J. (2018). Overload and exhaustion: Classifying SNS discontinuance intentions. Cogent Psychology, 5(1), 1515584.
  • Nematzadeh, A., Ciampaglia, G. L., Ahn, Y.-Y. and Flammini, A. (2019). Information overload in group communication: from conversation to cacophony in the Twitch chat. Royal Society Open Science, 6(10), 191412.
  • Ragu-Nathan, T. S., Tarafdar, M., Ragu-Nathan, B. S. and Tu, Q. (2008). The consequences of technostress for end users in organizations: Conceptual development and empirical validation. Information Systems Research, 19(4), 417– 433.
  • Rainie, L., Smith, A. and Duggan, M. (2013). Coming and going on Facebook. Pew Research Centers Internet and American Life Project.
  • Rathore, F. and Farooq, F. (2020). Information overload and infodemic in the COVID-19 pandemic. Journal of the Pakistan Medical Association, 70, 162.
  • Ravindran, T., Yeow Kuan, A. C. and Hoe Lian, D. G. (2014). Antecedents and effects of social network fatigue. Journal of the Association for Information Science and Technology, 65(11), 2306–2320.
  • Roetzel, P. G. (2019). Information overload in the information age: a review of the literature from business administration, business psychology, and related disciplines with a bibliometric approach and framework development. Business Research, 12(2), 479–522.
  • Saegert, S. (1973). Crowding: Cognitive overload and behavioral constraint. Environmental Design Research, 2.
  • Shin, J. and Shin, M. (2016). To be connected or not to be connected? Mobile messenger overload, fatigue, and mobile shunning. Cyberpsychology, Behavior and Social Networking, 19(10), 579-586.
  • Shokouhyar, S., Siadat, S. and Razavi, M. (2018). How social influence and personality affect users’ social network fatigue and discontinuance behavior. Aslib Journal of Information Management, 70.
  • Song, H., Jung, J. and Kim, Y. (2017). Perceived news overload and its cognitive and attitudinal consequences for news usage in South Korea. Journalism & Mass Communication Quarterly, 94(4), 1172–1190.
  • Tarafdar, M., Maier, C., Laumer, S. and Weitzel, T. (2020). Explaining the link between technostress and technology addiction for social networking sites: A study of distraction as a coping behavior. Information Systems Journal, 30(1), 96–124.
  • Waddington, P. (1997). Dying for information? A report on the effects of information overload in the UK and worldwide. British Library Research and Innovation Report, 49–52.
  • Xu, Y., Yang, Y., Cheng, Z. and Lim, J. (2014). Retaining and attracting users in social networking services: An empirical investigation of cyber migration. The Journal of Strategic Information Systems, 23(3), 239–253.
  • Zhang, S., Zhao, L., Lu, Y. and Yang, J. (2016). Do you get tired of socializing? An empirical explanation of discontinuous usage behaviour in social network services. Information & Management, 53(7), 904–914.
APA ELCIYAR K (2021). OVERLOADING IN LOCKDOWN: EFFECTS OF SOCIAL, INFORMAT. , 329 - 342. 10.47107/inifedergi.872896
Chicago ELCIYAR KEMAL OVERLOADING IN LOCKDOWN: EFFECTS OF SOCIAL, INFORMAT. (2021): 329 - 342. 10.47107/inifedergi.872896
MLA ELCIYAR KEMAL OVERLOADING IN LOCKDOWN: EFFECTS OF SOCIAL, INFORMAT. , 2021, ss.329 - 342. 10.47107/inifedergi.872896
AMA ELCIYAR K OVERLOADING IN LOCKDOWN: EFFECTS OF SOCIAL, INFORMAT. . 2021; 329 - 342. 10.47107/inifedergi.872896
Vancouver ELCIYAR K OVERLOADING IN LOCKDOWN: EFFECTS OF SOCIAL, INFORMAT. . 2021; 329 - 342. 10.47107/inifedergi.872896
IEEE ELCIYAR K "OVERLOADING IN LOCKDOWN: EFFECTS OF SOCIAL, INFORMAT." , ss.329 - 342, 2021. 10.47107/inifedergi.872896
ISNAD ELCIYAR, KEMAL. "OVERLOADING IN LOCKDOWN: EFFECTS OF SOCIAL, INFORMAT". (2021), 329-342. https://doi.org/10.47107/inifedergi.872896
APA ELCIYAR K (2021). OVERLOADING IN LOCKDOWN: EFFECTS OF SOCIAL, INFORMAT. İnönü Üniversitesi İletişim Fakültesi Elektronik Dergisi, 6(1), 329 - 342. 10.47107/inifedergi.872896
Chicago ELCIYAR KEMAL OVERLOADING IN LOCKDOWN: EFFECTS OF SOCIAL, INFORMAT. İnönü Üniversitesi İletişim Fakültesi Elektronik Dergisi 6, no.1 (2021): 329 - 342. 10.47107/inifedergi.872896
MLA ELCIYAR KEMAL OVERLOADING IN LOCKDOWN: EFFECTS OF SOCIAL, INFORMAT. İnönü Üniversitesi İletişim Fakültesi Elektronik Dergisi, vol.6, no.1, 2021, ss.329 - 342. 10.47107/inifedergi.872896
AMA ELCIYAR K OVERLOADING IN LOCKDOWN: EFFECTS OF SOCIAL, INFORMAT. İnönü Üniversitesi İletişim Fakültesi Elektronik Dergisi. 2021; 6(1): 329 - 342. 10.47107/inifedergi.872896
Vancouver ELCIYAR K OVERLOADING IN LOCKDOWN: EFFECTS OF SOCIAL, INFORMAT. İnönü Üniversitesi İletişim Fakültesi Elektronik Dergisi. 2021; 6(1): 329 - 342. 10.47107/inifedergi.872896
IEEE ELCIYAR K "OVERLOADING IN LOCKDOWN: EFFECTS OF SOCIAL, INFORMAT." İnönü Üniversitesi İletişim Fakültesi Elektronik Dergisi, 6, ss.329 - 342, 2021. 10.47107/inifedergi.872896
ISNAD ELCIYAR, KEMAL. "OVERLOADING IN LOCKDOWN: EFFECTS OF SOCIAL, INFORMAT". İnönü Üniversitesi İletişim Fakültesi Elektronik Dergisi 6/1 (2021), 329-342. https://doi.org/10.47107/inifedergi.872896