Fatiga con las redes sociales. Motivos de uso de Internet y rasgos de la personalidad online y offline como moderadores
DOI:
https://doi.org/10.46553/RPSI.20.40.2024.p196-214Palabras clave:
Internet, fatiga con las redes sociales, analisis de moderacion, rasgos de personalidad online, rasgos de personalidad offlineResumen
Objetivos: (a) Verificar las evidencias de validez de constructo de la escala de Fatiga con las redes sociales (FRS), (b) analizar la relación entre los motivos de uso de Internet (MOTU) y la FRS y (c) estudiar la moderación de los rasgos de personalidad offline y online para la relación entre los MOTU y la FRS. Muestra: 516 sujetos residentes mayormente en el área metropolitana de Buenos Aires y en el Conurbano Bonaerense (292 hombres, 224 mujeres); edad promedio: 40,97 años (DE=15.03). Instrumentos: Escala de FRS, Escala MOTU, Inventario Cinco Grandes (ICG) e Inventario de rasgos de personalidad online (IACAS). Resultados: La escala de FRS tiene evidencias de validez de constructo. Asimismo, se demostró el rol moderador del rasgo de personalidad offline de agradabilidad en la relación entre los MOTU y la FRS. Además, los rasgos de personalidad online autenticidad, agradabilidad/sociabilidad y cautelosidad moderaron la relación entre los MOTU búsqueda de compañía/exhibicionismo y la FRS de carácter emocional.
Descargas
Citas
Amichai-Hamburger, Y. & Vinitzky, G. (2010). Social Network Use and Personality. Computers in Human Behavior, 26(6), 1289-1295. https://doi.org/10.1016/j.chb.2010.03.018
Ashiru, J., Oluwajana, D. & Biabor, O. S. (2023). Is the Global Pandemic Driving Me Crazy? The Relationship Between Personality Traits, Fear of Missing Out, and Social Media Fatigue During the COVID-19 Pandemic in Nigeria. International Journal of Mental Health and Addiction, 21, 2309-2324. https://doi.org/10.1007/s11469-021-00723-8
Bayer, J. B., Triệu, P., & Ellison, N. B. (2020). Social media elements, ecologies, and effects. Annual Review of Psychology, 71, 471-497. https://doi.org/10.1146/annurev-psych-010419-050944
Bossetta, M. (2018). The digital architectures of social media: Comparing political campaigning on Facebook, Twitter, Instagram, and Snapchat in the 2016 US election. Journalism & Mass Communication Quarterly, 95(2), 471-496.
Bright, L. F., Kleiser, S. B., & Grau, S. L. (2015). Too much Facebook? An exploratory examination of social media fatigue. Computers in Human Behavior, 44, 148-155. https://doi.org/10.1016/j.chb.2014.11.048
Bunker, C. J. & Kwan, V. S. (2021). Do the offline and social media Big Five have the same dimensional structure, mean levels, and predictive validity of social media outcomes? Cyberpsychology: Journal of Psychosocial Research on Cyberspace, 15(4), Artículo 8. https://doi.org/10.5817/CP2021-4-8
Castro Solano, A. & de la Iglesia, G. (2024). Virtual Personality: A Lexical Study of Personality Traits in Virtual Environments [Manuscrito remitido para su publicación].
Castro Solano, A. & Lupano Perugini, M. L. (2019). Perfiles diferenciales de usuarios de internet, factores de personalidad, rasgos positivos, síntomas psicopatológicos y satisfacción con la vida. Revista Iberoamericana de Evaluación Diagnóstica y Evaluación Psicológica, 54(4), 79-90. https://doi.org/10.21865/RIDEP53.4.06
Castro Solano, A. & Casullo, M. M. (2001). Rasgos de personalidad, bienestar psicológico y rendimiento académico en adolescentes argentinos. Interdisciplinaria, 18(1), 65-85.
Castro Solano, A. Lupano Perugini, M. L., & Caporiccio Trillo, M. A. (2022). Motivos de uso de Instagram: análisis automático del texto de los usuarios y asociación con rasgos de personalidad. Perspectivas en Psicología, 19(2), 171-193.
Castro Solano, A. & Stover, J. (2024). Fatiga por uso de redes sociales: Predicción según personalidad normal, patológica y positiva [Manuscrito remitido para publicación].
Chai, S. & Kim, M. (2012). A socio-technical approach to knowledge contribution behavior: An empirical investigation of social networking sites users. International Journal of Information Management, 32(2), 118-126. https://doi.org/10.1016/j.ijinfomgt.2011.07.004
Chen, M. & Peng, A. Y. (2023). Why Do People Choose Different Social Media Platforms? Linking Use Motives With Social Media Affordances and Personalities. Social Science Computer Review, 41(2), 330-352. https://doi.org/10.1177/08944393211049120
Choi, S. B. & Lim, M. S. (2016). Effects of social and technology overload on psychological well-being in young South Korean adults: The mediatory role of social network service addiction. Computers in Human Behavior, 61, 245-254. https://doi.org/10.1016/j.chb.2016.03.032
Costa, P. T. & McCrae, R. R. (1985). The NEO Personality Inventory Manual. Psychological Assessment Resources.
Costa, P. T. Jr, & McCrae, R. R. (1992). Four ways five factors are basic. Personality and Individual Differences, 13(6), 653-665. https://doi.org/10.1016/0191-8869(92)90236-I
Cramer, E. M., Song, H., & Drent, A. M. (2016). Social comparison on Facebook: Motivation, affective consequences, self-esteem, and Facebook fatigue. Computers in Human Behavior, 64, 739-746. https://doi.org/10.1016/j.chb.2016.07.049
Dhir, A., Kaur, P., Chen, S., & Pallesen, S. (2019). Antecedents and consequences of social media fatigue. International Journal of Information Management, 48, 193-202. https://doi.org/10.1016/j.ijinfomgt.2019.05.021
Dhir, A., Yossatorn, Y., Kaur, P., & Chen, S. (2018). Online social media fatigue and psychological wellbeing—A study of compulsive use, fear of missing out, fatigue, anxiety and depression. International Journal of Information Management, 40, 141-152. https://doi.org/10.1016/j.ijinfomgt.2018.01.012
Digman, J. M. (1990). Personality structure: Emergence of the five-factor model. Annual Review of Psychology, 41(1), 417-440. https://doi.org/10.1146/annurev.ps.41.020190.002221
Eskisu, M., Hosoglu, R., & Rasmussen, K. (2017). An investigation of the relationship between Facebook usage, big five, self-esteem and narcissism. Computers in Human Behavior, 69, 294-301. https://doi.org/10.1016/j.chb.2016.12.036
Fairchild, A. J. & MacKinnon, D. P. (2009). A general model for testing mediation and moderation effects. Prevention Science, 10, 87-99. https://doi.org/10.1007/s11121-008-0109-6
Hooper, D., Coughlan, J., & Mullen, M. R. (2008). Structural equation modelling: Guidelines for determining model fit. Electronic Journal of Business Research Methods, 6(1), 53-60. https://doi.org/10.21427/D7CF7R
Hu, L. & Bentler, P. M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling, 6(1), 1-55. https://doi.org/10.1080/10705519909540118
Kayiş, A. R., Satici, S. A., Yilmaz, M. F., Şimşek, D., Ceyhan, E., & Bakioğlu, F. (2016). Big five-personality trait and internet addiction: A meta-analytic review. Computers in Human Behavior, 63, 35-40. https://doi.org/10.1016/j.chb.2016.05.012
Lee, C. C., Chou, S. T. H., & Huang, Y. R. (2014). A study on personality traits and social media fatigue-example of Facebook users. Lecture Notes in Information Theory, 2(3). https://doi.org/10.12720/lnit.2.3.249-253
Lee, C. S., Abu Bakar, N. A., Muhammad Dahri, R. B., & Sin, S. C. J. (2015). Instagram this! Sharing photos on Instagram. En R. B. Allen, J. Hunter, & M. L. Zeng (Eds.), Digital Libraries: Providing Quality Information: 17th International Conference on Asia-Pacific Digital Libraries, ICADL 2015, Seoul, Korea, December 9-12, 2015. Proceedings (pp. 132-141). Springer International Publishing. https://doi.org/10.1007/978-3-319-27974-9_13
Logan, K., Bright, L. F., & Grau, S. L. (2018). “Unfriend me, please!”: Social media fatigue and the theory of rational choice. Journal of Marketing Theory and Practice, 26(4), 357-367. https://doi.org/10.1080/10696679.2018.1488219
Luchman, J. N., Bergstrom, J., & Krulikowski, C. (2014). A motives framework of social media website use: A survey of young Americans. Computers in Human Behavior, 38, 136-141. https://doi.org/10.1016/j.chb.2014.05.016
Lupano Perugini, M. L. & Castro Solano, A. (2021a). Normal and maladaptive personality traits as predictors of motives for social media use and its effects on well-being. Psychological Reports, 124(3), 1070-1092. https://doi.org/10.1177/0033294120922495
Lupano Perugini, M. L. & Castro Solano, A. (2021b). Rasgos de personalidad, bienestar y malestar psicológico en usuarios de redes sociales que presentan conductas disruptivas online. Interdisciplinaria, 38(2), 7-23. https://doi.org/10.16888/interd.2021.38.2.1
Lupano Perugini, M. L. & Castro Solano, A. (2022). Preferencia en la Utilización de Plataformas y Diferentes Usos de Internet. El Rol Moderador de los Rasgos Psicopatológicos de Personalidad en la Relación con el Bienestar Percibido. Revista Iberoamericana de Diagnóstico y Evaluación Psicológica, 64(3), 141-155. https://doi.org/10.21865/RIDEP64.3.11
Lupano Perugini, M. L. & Castro Solano, A. (2023a). Diseño y validación de un instrumento para evaluar comportamiento contraproducente online. Rasgos normales, positivos, negativos y patológicos de personalidad como predictores de dichas conductas. Avances en Psicología Latinoamericana, 42(3), 1-18. https://doi.org/10.12804/revistas.urosario.edu.co/apl/a.11415
Lupano Perugini, M. L. & Castro Solano, A. (2023b). Uso pasivo de redes sociales y malestar psicológico. El rol de la comparación social. Interdisciplinaria, 40(2), 543-558. https://doi.org/10.16888/interd.2023.40.2.31
Maier, C., Laumer, S., Weinert, C., & Weitzel, T. (2015). The effects of technostress and switching stress on discontinued use of social networking services: A study of Facebook use. Information Systems Journal, 25(3), 275-308. https://doi.org/10.1111/isj.12068
Malik, A., Dhir, A., Kaur, P., & Johri, A. (2020). Correlates of social media fatigue and academic performance decrement: A large cross-sectional study. Information Technology & People, 34(2), 557-580. https://doi.org/10.1108/ITP-06-2019-0289
Marciano, L., Camerini, A. L., Schulz, P. J. (2020). Neuroticism in the digital age: A meta-analysis. Computers in Human Behavior Reports, 2, 100026. https://doi.org/10.1016/j.chbr.2020.100026
McFarland, L. A., & Ployhart, R. E. (2015). Social media: A contextual framework to guide research and practice. Journal of Applied Psychology, 100(6), 1653-1677. https://doi.org/10.1037/a0039244
R Core Team. (2022). The R Project for Statistical Computing. Recuperado de https://www.r-project.org/
Reinecke, L., Vorderer, P., & Knop, K. (2014). Entertainment 2.0? The role of intrinsic and extrinsic need satisfaction for the enjoyment of Facebook use. Journal of Communication, 64(3), 417-438. https://doi.org/10.1111/jcom.12099
Robie, C., Risavy, S. D., Holtrop, D., & Born, M. P. (2017). Fully contextualized, frequency-based personality measurement: A replication and extension. Journal of Research in Personality, 70, 56-65. https://doi.org/10.1016/j.jrp.2017.05.005
Ruggiero, T. E. (2000). Uses and gratifications theory in the 21st century. Mass Communication & Society, 3(1), 3-37. https://doi.org/10.1207/S15327825MCS0301_02
Ryan, T. & Xenos, S. (2011). Who uses Facebook? An investigation into the relationship between the Big Five, shyness, narcissism, loneliness, and Facebook usage. Computers in Human Behavior, 27(5), 1658-1664. https://doi.org/10.1016/j.chb.2011.02.004
Schulze, J., West, S. G., Freudenstein, J. P., Schäpers, P., Mussel, P., Eid, M., & Krumm, S. (2021). Hidden framings and hidden asymmetries in the measurement of personality—A combined lens-model and frame-of-reference perspective. Journal of Personality, 89(2), 357-375. https://doi.org/10.1111/jopy.12586
Statista. (2023). Porcentaje de usuarios de algunas redes sociales en Argentina en 2023. Recuperado de https://es.statista.com/estadisticas/1218938/argentina-porcentaje-de-usuarios-por-red-social/
Taber, L. & Whittaker, S. (2018). Personality depends on the medium: differences in self-perception on Snapchat, Facebook and offline. En R. Mandryk & M. Hancock (Coords.) CHI ’18: Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems (Artículo 607). Association for Computing Machinery. https://doi.org/10.1145/3173574.3174181
Taber, L. & Whittaker, S. (2020). “On Finsta, I can say ‘Hail Satan’”: Being authentic but disagreeable on Instagram. En R. Bernhaupt & F. Mueller (Coords.), Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems. Association for Computing Machinery. https://doi.org/10.1145/3313831.3376182
Zhang, S., Shen, Y., Xin, T., Sun, H., Wang, Y., Zhang, X., & Ren, S. (2021) The development and validation of a social media fatigue scale: From a cognitive-behavioral-emotional perspective. PLoS ONE, 16(1): e0245464. https://doi.org/10.1371/journal.pone.0245464
Zheng, H. & Ling, R. (2021). Drivers of social media fatigue: A systematic review. Telematics and Informatics, 64, 101696. https://doi.org/10.1016/j.tele.2021.101696
Zhu, Y. & Bao, Z. (2018). The role of negative network externalities in SNS fatigue: An empirical study based on impression management concern, privacy concern, and social overload. Data Technology and Applications, 52(3), 313-328. https://doi.org/10.1108/DTA-09-2017-0063
Descargas
Publicado
Cómo citar
Número
Sección
Licencia
Derechos de autor 2024 Alejandro Castro Solano
Esta obra está bajo una licencia internacional Creative Commons Atribución-NoComercial-CompartirIgual 4.0.