Politically Motivated Internet Addiction: Relationships among Online Information Exposure, Internet Addiction, FOMO, Psychological Well-being, and Radicalism in Massive Political Turbulence

Tang, Gary; Hung, Eva P. W.; Au-Yeung, Ho Kong Christopher; Yuen, Samson

doi:10.3390/ijerph17020633

Cited by 22 publications

(33 citation statements)

References 44 publications

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“…Además, este síndrome se ha visto relacionado con una serie de resultados negativos que incluyen la insatisfacción con la vida, el mal humor y el sueño desregulado (Riordan et al, 2015). Este hecho ha dado lugar a que en el último año emerjan nuevas investigaciones en el campo de la educación, puesto que la salud del estudiante puede verse afectada, influyendo de manera negativa en sus relaciones sociales y en su estado psicológico y físico (Adams et al, 2020;Dhir et al, 2018;Tang et al, 2020).…”

Section: Issn: 1699-9517unclassified

“…Así como, puede generar una disminución de la productividad en la esfera profesional (Duke y Montag, 2017). Por tanto, sería interesante que las personas de la era digital recibiesen información y estrategias no solamente sobre los beneficios que conllevan las TIC, sino también en la formación de estrategias de uso responsable, tanto en la familia, como en la escuela y la sociedad (Martínez, 2021), para realizar un uso adecuado y evitar la aparición del síndrome (Tang et al, 2020).…”

Section: Issn: 1699-9517unclassified

“…Respecto al lugar donde se llevaron a cabo las investigaciones, dos de ellas se realizaron en el continente europeo, concretamente en Estonia (Gugushvili et al, 2020) y Alemania (Reer et al, 2019) y, otra en el continente asiático (Tang et al, 2020). Sin embargo, la mayoría se llevaron a cabo en América del Norte (Adams et a., 2020;Baker et al, 2016;Barry et al, 2017Barry et al, , 2019Elhai et al, 2016Elhai et al, , 2020Rogers et al, 2019;Scalzo y Martinez, 2017).…”

Section: Análisis Descriptivos De Los Trabajos Seleccionadosunclassified

“…Otras investigaciones prefirieron evaluar a estudiantes universitarios de diferentes edades (Adams et al, 2020;Baker et al, 2016;Elhai et al, 2020;Rogers et al, 2019;Scalzo y Martinez, 2017) o, incluso, a población en general (Elhai et al, 2016;Gugushvili et al, 2020;Reer et al, 2020;Tang et al, 2020).…”

Section: Análisis Descriptivos De Los Trabajos Seleccionadosunclassified

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Factores psicológicos y consecuencias del Síndrome Fear of Missing Out: Una Revisión Sistemática

Soriano-Sánchez¹

2022

Rev. Psicol. Educ

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Resumen: En los últimos años, el uso excesivo de teléfonos inteligentes se ha convertido en un importante desafío para la salud pública. En esta dirección, ha surgido el Síndrome llamado FoMO, por su expresión en inglés Fear of Missing Out (FoMO), originándose por la aparición de angustia a consecuencia de una falta de experiencias gratificantes. De este modo, surge el objetivo del presente trabajo, que consiste en identificar mediante una revisión sistemática los factores psicológicos asociados a este síndromeF. Para alcanzarlo, se han utilizado diferentes bases de datos de carácter internacional, siendo las bases elegidas Web of Science, Scopus y PsycINFO.Tras aplicar los criterios de inclusión y exclusión establecidos, quedaron 11 investigaciones incluidas para revisión sistemática. Los resultados de los diferentes trabajos revelan que el uso problemático de Internet parece mediar entre en la presencia del síndrome. En conclusión, la presencia del Síndrome FoMO media sobre la salud mental de la persona. Particularmente, en la aparición de sentimientos de soledad, ansiedad, depresión, bienestar emocional, calidad del sueño y consumo de alcohol. Por tanto, se sugiere que se sigan realizando nuevos trabajos, de manera que brinden la oportunidad de abordar este problema actual.

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Section: Issn: 1699-9517unclassified

Section: Análisis Descriptivos De Los Trabajos Seleccionadosunclassified

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Factores psicológicos y consecuencias del Síndrome Fear of Missing Out: Una Revisión Sistemática

Soriano-Sánchez¹

2022

Rev. Psicol. Educ

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“…Furthermore, PMPU interacted significantly with low health literacy to determine the risk of NSSI. Tang et al [16] found that IA was significantly associated with higher level of depression and subsequently more support for radical actions during a massive socio-political movement among university students in Hong Kong (N = 290). It is probably the first report of the potential impact of IA on behaviors related to social unrest.…”

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Internet-Related Addictions: From Measurements to Interventions

Chen

Lau

et al. 2020

IJERPH

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Ever since the invention of the World Wide Web in 1989 [1], the Internet has dramatically reshaped all walks of life. It has also expanded the spectrum of Internet-related disorders in the fifth edition of the Diagnostic and Statistical Manual of Mental Disorders (DSM-5) and the eleventh revision of the International Classification of Disease (ICD-11) [2,3]. Research on Internet-related addictions can be dated back to 1996 when problems associated with excessive Internet use in general, such as Internet Addiction (IA), were studied [4]; IA has been found to cause various physical problems and psychopathology among adolescents and adults [5]. There are different types of Internet-related addiction [6,7], such as Internet gaming disorder (IGD), problematic mobile phone use (PMPU), social networking addiction (SNA), and Internet gambling. These subtypes have common (e.g., heightened impulsivity) and specific (e.g., maladaptive expectancies) characteristics [8]. This Special Issue has gathered 15 papers that have looked into important topics of research on various types of Internet-related addiction.First, as the cornerstone of studying Internet-related addictions, it is essential to improve the assessment accuracy for a specific addiction. Ko et al. [9] adapted a gaming version of the commonly used Chen Internet Addiction Scale, the CIAS-G, to assess the DSM-5 IGD based upon data of 69 clinically diagnosed IGD cases, 69 regular Internet gamers, and 69 healthy Internet gamers in Taiwan. The screening (≥68), diagnostic (≥72), and prevalence-estimate (≥76) cutoff points were proposed to identify probable IGD for different clinical and epidemiological utility. Future studies may further validate this tool and compare it with existing tools, especially those based on the ICD-11 criteria. While many studies investigated the cognitions of Internet-related addictions and associated impacts [10], there is a dearth of studies validating measurement tools to assess such cognitions in a systematic way. Yu et al. [11] validated and further revised the Internet Gaming Cognition Scale, which was originally based on a systematic review of cognitive factors of IGD, among 755 Chinese junior high school students. The authors identified three types of maladaptive Internet gaming cognitions, including perceived rewards of Internet gaming, perceived urges for playing Internet games, and perceived unwillingness to stop playing without completion of gaming tasks. These maladaptive cognitions were found to be significantly associated with heightened impulsivity, impaired self-control, increased gaming time, and higher risk for IGD. This validation study strengthens research on relationships between cognitions and IGD. Relatedly, Chia et al. [12] conducted a scoping review of cognitive bias in IA and IGD. Of the six identified studies, five demonstrated existence of cognitive biases among individuals with IA/IGD; one study demonstrated effectiveness of bias modification for IGD. Cognitive bias and bias modifications related to IA/IGD are im...

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What are the effects of different elements of media on radicalization outcomes? A systematic review

Wolfowicz

Hasisi

Weisburd

2022

Campbell Systematic Reviews

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Background Most national counter‐radicalization strategies identify the media, and particularly the Internet as key sources of risk for radicalization. However, the magnitude of the relationships between different types of media usage and radicalization remains unknown. Additionally, whether Internet‐related risk factors do indeed have greater impacts than other forms of media remain another unknown. Overall, despite extensive research of media effects in criminology, the relationship between media and radicalization has not been systematically investigated. Objectives This systematic review and meta‐analysis sought to (1) identify and synthesize the effects of different media‐related risk factors at the individual level, (2) identify the relative magnitudes of the effect sizes for the different risk factors, and (3) compare the effects between outcomes of cognitive and behavioral radicalization. The review also sought to examine sources of heterogeneity between different radicalizing ideologies. Search Methods Electronic searches were carried out in several relevant databases and inclusion decisions were guided by a published review protocol. In addition to these searches, leading researchers were contacted to try and identify unpublished or unidentified research. Hand searches of previously published reviews and research were also used to supplement the database searches. Searches were carried out until August 2020. Selection Criteria The review included quantitative studies that examined at least one media‐related risk factor (such as exposure to, or usage of a particular medium or mediated content) and its relationship to either cognitive or behavioral radicalization at the individual level. Data Collection and Analysis Random‐effects meta‐analysis was used for each risk factor individually and risk factors were arranged in rank‐order. Heterogeneity was explored using a combination of moderator analysis, meta‐regression, and sub‐group analysis. Results The review included 4 experimental and 49 observational studies. Most of the studies were judged to be of low quality and suffer from multiple, potential sources of bias. From the included studies, effect sizes pertaining to 23 media‐related risk factors were identified and analyzed for the outcome of cognitive radicalization, and two risk factors for the outcome of behavioral radicalization. Experimental evidence demonstrated that mere exposure to media theorized to increase cognitive radicalization was associated with a small increase in risk (g = 0.08, 95% confidence interval [CI] [−0.03, 19]). A slightly larger estimate was observed for those high in trait aggression (g = 0.13, 95% CI [0.01, 0.25]). Evidence from observational studies shows that for cognitive radicalization, risk factors such as television usage have no effect (r = 0.01, 95% CI [−0.06, 0.09]). However, passive (r = 0.24, 95% CI [0.18, 0.31]) and active (r = 0.22, 95% CI [0.15, 0.29]) forms of exposure to radical content online demonstrate small but potentially meaningful relationsh...

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Politically Motivated Internet Addiction: Relationships among Online Information Exposure, Internet Addiction, FOMO, Psychological Well-being, and Radicalism in Massive Political Turbulence

Cited by 22 publications

References 44 publications

Factores psicológicos y consecuencias del Síndrome Fear of Missing Out: Una Revisión Sistemática

Factores psicológicos y consecuencias del Síndrome Fear of Missing Out: Una Revisión Sistemática

Internet-Related Addictions: From Measurements to Interventions

What are the effects of different elements of media on radicalization outcomes? A systematic review

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