Passive Social Media Research Articles

Whose park? Crowdsourcing citizen's urban green space preferences to inform needs-based management decisions

• Photo uploads to social media are linked to specific uses and are not a good indicator of subjective values. • Landscape photo composition is not linked to preferences. • A dedicated mobile app provides useful insights into in situ location specific perception and preferences, especially with regard to quieter values of urban green space. • Combined with observations of use a dedicated app can help prioritise locations for improvement. Subjective values of urban green spaces are difficult to quantify and thus easily overlooked in planning processes. Accounting for such values is an important challenge in developing sustainable cities. Crowdsourcing methods, such as big data and smart phone applications, have emerged as promising methods to improve insights into subjective perceptions and preferences. However, we know little about how well these relatively new methods actually quantify subjective values. We assessed several of these new methods by comparing observations of use (n = 1009) to three crowdsourcing methods in one large park in Amsterdam, the Netherlands: a dedicated mobile app providing in situ stated preferences (n = 377), passive social media (n = 78) and a municipal reporting app (n = 187). We show that observed use and passive social media only captured user quantity and were not able to identify green space qualities that are important for mental health functions, such as how relaxing or safe a location is. The dedicated mobile app combined with observed use helped to identify priority locations for improvement. Our findings emphasize that if inadequate measures are used in smart city developments, subjective values and specific user groups will continue to be overlooked in planning processes.

Social Media Browsing and Adolescent Well-Being: Challenging the “Passive Social Media Use Hypothesis”

Abstract A recurring hypothesis in the literature is that “passive” social media use (browsing) leads to negative effects on well-being. This preregistered study investigated a rival hypothesis, which states that the effects of browsing on well-being depend on person-specific susceptibilities to envy, inspiration, and enjoyment. We conducted a three-week experience sampling study among 353 adolescents (13–15 years, 126 assessments per adolescent). Using an advanced N = 1 method of analysis, we found sizeable heterogeneity in the associations of browsing with envy, inspiration, and enjoyment (e.g., for envy ranging from β = −.44 to β = +.71). The Passive Social Media Use Hypothesis was confirmed for 20% of adolescents and rejected for 80%. More adolescents with browsing-induced envy experienced negative effects on affective well-being (25%) than adolescents with no browsing-induced envy (13%). Conversely, more adolescents with browsing-induced enjoyment experienced positive effects on affective well-being (47%) than adolescents with no browsing-induced enjoyment (9%).

Passive social media use and psychological well-being during the COVID-19 pandemic: The role of social comparison and emotion regulation

Social media browsing is commonly seen as a trigger of unhealthy social comparison (i.e., upward contrast), which negatively affects well-being. One underlying assumption is the predominance of positive self-presentation on social media, which may have shifted during the COVID-19 pandemic when negative disclosures have become more prevalent. In this study, we conceptualize social comparison as a multi-dimensional construct based on different comparing targets and processes, and explore how individual (i.e., cognitive reappraisal) and contextual (i.e., quarantine status) factors may influence the relationships among passive social media use, social comparison and stress during the COVID-19 pandemic. Drawing on a survey with 1131 Wuhan residents in China, we found that passive social media use was positively related to both upward contrast and downward identification, which in turn predicted a higher level of stress. Cognitive reappraisal was negatively associated with unhealthy social comparison (i.e., upward contrast and downward identification) but was positively related to healthy social comparison such as upward identification. Quarantined people tended to report more upward contrast, especially when they engaged in more frequent social media browsing. This study contributes to the larger debate about the impact of social media on mental health and offers practical implications.

Problematic smartphone use and the quantity and quality of peer engagement among adolescents: A longitudinal study

Problematic smartphone use (PSU) has recently attracted a lot of attention, especially among adolescents. The knowledge about the role peer engagement might play in the development of PSU is still limited. We aimed to investigate the bidirectional relationships between PSU, the quantity of online (i.e., passive and active social media messaging on smartphone) and offline peer engagement (i.e., intensity of face-to-face meeting with friends) and the quality of peer engagement (i.e., perceived competence in close friendships) among adolescents. Data from a three-wave longitudinal study among 2100 Dutch high school students (56.7% boys) was used. Cross-lagged models indicated that: (1) perceived competence in close friendships at T1 negatively predicted PSU at T2 and PSU at T2 negatively predicted perceived competence in close friendships at T3; (2) there were positive and reciprocal cross-lagged correlations between PSU and passive social media messaging on smartphone; (3) there were positive and reciprocal cross-lagged correlations between intensity of face-to-face meeting with friends and active social media messaging on smartphone. This implies that adolescents who perceive a low competence in close friendships and/or intensively check their smartphone for messages from their peers may be particularly vulnerable to developing problematic smartphone use over time.

Communication outside of the home through social media during COVID-19

This study explored, through quantitative and qualitative survey analysis (N = 307), the role of communication through social media during the COVID-19 pandemic. Data were collected in April 2020 to understand how individuals engaged with their network through social media and the subsequent relationship with subjective well-being, conceptualized as loneliness, life satisfaction, and positive and negative affect. Results identified that passive social media use contributed to greater loneliness and a decrease in life satisfaction. Some active use of social media contributed to an increase in positive affect. However, other active uses increased feelings of loneliness. Results also spoke to differences across platforms, with time on Twitter leading to increased feelings of loneliness. Qualitative results pointed to an increase in social media use during the pandemic while also highlighting the opportunity to digitally reconnect with old friends and family.

Adolescent well-being amid the COVID-19 pandemic: Are girls struggling more than boys?

BackgroundDifferential effects of the coronavirus SARS‐CoV‐2 (COVID‐19) pandemic and associated public restrictions on adolescent girls and boys are emerging but have not been elucidated. This study examined gender differences across broad indicators of adolescent well‐being during the COVID‐19 pandemic in Iceland, and explored potential explanations for these differences.MethodsIn total, 523 youth (56.5% girls) born in Iceland in 2004 completed measures on mental health problems (depressive symptoms, anger and suicide attempts) and measures designed for this study to assess broad indicators of adolescent well‐being (e.g., day‐to‐day life, academic performance, family and peer relationships, and mental and physical health) and behavioral changes during the COVID‐19 pandemic. Mental health problems during the pandemic were compared to expected scores based on nationwide ratings of same‐aged peers in 2018.ResultsAlthough both boys and girls appeared affected, girls reported a greater negative impact across all the broad indicators of well‐being and behavioral change during COVID‐19 than boys, and their depressive symptoms were above and beyond the expected nationwide scores (t(1514) = 4.80, p < .001, Cohen's d = 0.315). Higher depressive symptoms were associated with increased passive social media use and decreased connecting with family members via telephone or social media among girls, and decreased sleeping and increased online gaming alone among boys. Concern about others contracting COVID‐19, changes in daily and school routines, and not seeing friends in person were among the primary contributors to poor mental health identified by youth, particularly girls.ConclusionsAdolescents were broadly negatively affected by the COVID‐19 pandemic and accompanying restrictions; however, this negative impact was more pronounced in girls. The findings suggest that a steady routine and remaining socially connected may help youth cope with the uncertainty and social restrictions associated with a pandemic. Moreover, healthcare providers, teachers, and other professionals should pay close attention to depressive symptoms among girls during a pandemic.

Unraveling the links between active and passive social media usage and seniors' loneliness: a field study in aging care communities

PurposeThe literature reports inconsistent findings about the effects of social media usage (SMU). Researchers distinguish between active and passive social media usage (ASMU and PSMU), which can generate different effects on users by social support and social comparison mechanisms, respectively. Drawing on social presence theory (SPT), this study integrates an implicit social presence mechanism with the above two mechanisms to explicate the links between SMU and seniors' loneliness.Design/methodology/approachData were collected from a field study by interviewing seniors living in eight aging care communities in China. Loneliness, social media activities and experiences with social media in terms of online social support (OSS), upward social comparison (USC) and social presence (SP) were assessed. Factor-based structural equation modeling was used to analyze the data.FindingsOSS can mediate the relationship between ASMU and seniors' loneliness. Moreover, SP mediates between ASMU, PSMU, and seniors' loneliness, and between OSS, USC and seniors' loneliness. OSS mediates the relationship between ASMU and SP, and USC mediates the relationship between PSMU and SP.Practical implicationsThis study shows that social media can alleviate seniors' loneliness, which could help relieve the pressures faced by health and social care systems. Social presence features are suggested to help older users interact with social health technologies in socially meaningful ways.Originality/valueThis study not only demonstrates that SP can play a crucial role in the relationship between both ASMU and PSMU and loneliness, but also unravels the links between SP and OSS, as well as USC.

Idiographic Network Models of Social Media Use and Depression Symptoms

BackgroundDisentangling the impact of social media use on well-being is a priority for psychological research. Numerous studies suggest that active social media use (ASMU) enhances well-being, whereas passive social media use (PSMU) undermines it. However, such research has conducted group-level analyses, potentially obscuring individual differences. We examined person-centered relationships between SMU and depression symptoms by using a publicly available experience sampling dataset (Aalbers Journal of Experimental Psychology: General 148: 1454–1462, 2019)MethodsDutch undergraduate students (N = 125) reported PSMU, ASMU, and depression symptoms 7 times daily for 14 days. We (a) visualized interindividual variability in temporal associations between social media use and individual depression symptoms, (b) compared the aggregate network model to idiographic models, and (c) determined the distribution of person-specific temporal associations.ResultsOverall, we found that associations between social media use and depression symptoms differed substantially from individual to individual in both strength and kind. In addition, PSMU and ASMU were very weakly to weakly associated with depression symptoms for most individuals.ConclusionsStudying idiographic relationships between social media use and depression may help us (1) determine which individuals are most at risk of experiencing elevated depression symptoms after using social media and (2) personalize therapeutic treatments to alleviate symptoms.

The impact of social media on young web users’ psychological well-being during the COVID-19 pandemic progression

Aim. The present study empirically investigates and theoretically substantiates the results of the impact of social media on young web-users’ psychological well-being during the forced self-isolation caused by the progression of the COVID-19 pandemic (N = 254). Materials and methods. Standardized valid psycho-diagnostic methods, the author’s questionnaire (A. Hudimova, 2021), correlation and factor analyses were used to identify young web users’ patterns of social media involvement during the forced self-isolation. Results. The results show that during the global COVID-19 pandemic, young web users give preference for passive social media use rather than for communication. The obtained results showed an expansion in the time spent via social media by young web users. It was found that the progression of the COVID-19 pandemic is accompanied by the participants’ experience of negative emotions and fears of the unknown (r = .204; p &lt;.01). It is substantiated that increasing immersion of young web users in social media is a kind of strategy to escape from bad thoughts (r = .271; p &lt;.01). Significantly, it is stated that uncontrolled use of social media causes sleep disorders during isolation (r = .444; p &lt;.01). Conclusions. The study proves that young people spend almost all day online due to the obsessive pattern of social media involvement and/or procrastination, which often provokes withdrawal syndrome upon the attempt to distract from them. The lack of controlled time spending on social media during self-isolation provokes an exacerbation of anxiety, apathy, depressed mood, and a sense of isolation from social reality. The obtained results provide evidence that the causal relations of passive social media use provoke an exacerbation of feelings of alienation, disrupt the healthy rhythm of sleep, and psychological state of young web-users during the progression of the COVID-19 pandemic.

Challenging Passive Social Media Use

Older adults are often portrayed as passive social media users who consume content rather than actively posting content. However, this binary divide between active and passive social media use overlooks nuanced kinds of engagement online. Via an eye-tracking study of older adults' Facebook use, this work shows how not clicking or commenting on content can involve engaged kinds of social media use even if they are not visible to other users or to the platform. Older adults' decisions to not actively click or comment on social media content---an act which is often associated with non-engagement---can be intentional and relational acts of caregiving. We draw from feminist care theories to draw parallels between the invisibility of care work that older adults do on social media and the invisibility often rendered in their offline lives. We discuss theoretical, methodological, and design implications for supporting older adults as engaged participants in relational and intentional care work.

Political social media use and its linkage to populist and postmaterialist attitudes and vote intention in the Netherlands

This study focuses on social media use of citizens from two groups that are often associated with the rise of social media: populist and postmaterialist citizens. Considering their ideological underpinnings, we theorize that they will make more political use of social media and that this further reifies their political attitudes into voting for populist and postmaterialist parties, respectively. Using unique survey data including the relatively new populist attitudes and political use of social media, we test this theory on the Dutch case. We find that both groups do not read political news or connect to politicians more, but both are more likely to react to political content. Moreover, social media use does not seem to lead to a retention in one’s own ideological funnel signified by populist or postmaterialist voting. Among more postmaterialist citizens, passive social media use even makes it more likely to vote for other parties.

Behavioural intention of receiving COVID-19 vaccination, social media exposures and peer discussions in China.

The study aimed to investigate behavioural intentions to receive free and self-paid COVID-19 vaccinations (BICV-F and BICV-SP) among Chinese university students if the vaccine was 80% effective with rare mild side effects, to examine their associations with social media exposures and peer discussions regarding COVID-19 vaccination, and to explore the mediational role of perceived information sufficiency about COVID-19 vaccination. An online anonymous survey (N = 6922) was conducted in November 2020 in five Chinese provinces. Logistic regression and path analysis were adopted. The prevalence of BICV-F and BICV-SP were 78.1% and 57.7%. BICV-F was positively associated with the frequencies of passive social media exposure (adjusted odds ratio (AOR) = 1.32, P < 0.001), active social media interaction (AOR = 1.13, P < 0.001) and peer discussions (AOR = 1.17, P < 0.001). Indirect effects of the three factors on BICV-F via perceived information sufficiency were all significant (P < 0.001). The direct effect of active social media interaction on BICV-F was significantly negative (P < 0.001). Similar associations/mediations were observed for BICV-SP. The COVID-19 vaccination intention of Chinese university students needs improvement. Boosting social media exposures and peer discussions may raise students' perceived information sufficiency and subsequently increase their vaccination intention. Considering the potential negative effect of active social media interaction, caution is needed when using social media to promote COVID-19 vaccination.

Hybrid preference assessment for tourism research using solicited and unsolicited opinions: an application in rural tourism

Social media analysis is a powerful tool for tourism research that, at a relatively low cost, can be used to manage and process large datasets of comments, ratings, and shares from different online communities. However, the heterogeneous nature of unsolicited opinions, the complexity of natural language assessment, and differences in the characteristics of social-data sources hinder the accurate assessment of preferences. Likewise, the use of solicited data sources, such as direct polling, is typically resource-intensive, time-consuming, and geographically limited. We analyze a hybrid approach that combines active polling with passive social media analysis to rate tourist experience. To this end, we present a novel multiple criteria decision analysis model for preference-extraction from solicited and unsolicited data. The proposed approach can significantly reduce the number of polls required to accurately assess the preferences of a community, especially when surveying rural destinations, which are sparsely populated geographic areas situated outside cities and towns.

Active vs. Passive Social Media Engagement with Critical Information: Protest Behavior in Two Asian Countries

Passive online media use refers to the act of merely reading and observing political information on a users’ feed. Alternatively, active use refers to the conscious decision to share information, comment, challenge, fact check, or engage in related activity. We argue that these types of social media use have fundamentally different relationships to offline political participation. We use original survey data from Malaysia and the Philippines to test two propositions: (1) active political use, such as online protest or resistance, substitutes for offline protest and (2) passive users who encounter critical information and do not engage in active use will participate in offline protest. Our results confirm these expectations.

The effect of social media on well-being differs from adolescent to adolescent

The question whether social media use benefits or undermines adolescents’ well-being is an important societal concern. Previous empirical studies have mostly established across-the-board effects among (sub)populations of adolescents. As a result, it is still an open question whether the effects are unique for each individual adolescent. We sampled adolescents’ experiences six times per day for one week to quantify differences in their susceptibility to the effects of social media on their momentary affective well-being. Rigorous analyses of 2,155 real-time assessments showed that the association between social media use and affective well-being differs strongly across adolescents: While 44% did not feel better or worse after passive social media use, 46% felt better, and 10% felt worse. Our results imply that person-specific effects can no longer be ignored in research, as well as in prevention and intervention programs.

Social Media Markers to Identify Fathers at Risk of Postpartum Depression: A Machine Learning Approach.

Postpartum depression (PPD) is a significant mental health issue in mothers and fathers alike; yet at-risk fathers often come to the attention of health care professionals late due to low awareness of symptoms and reluctance to seek help. This study aimed to examine whether passive social media markers are effective for identifying fathers at risk of PPD. We collected 67,796 Reddit posts from 365 fathers, spanning a 6-month period around the birth of their child. A list of "at-risk" words was developed in collaboration with a perinatal mental health expert. PPD was assessed by evaluating the change in fathers' use of words indicating depressive symptomatology after childbirth. Predictive models were developed as a series of support vector machine classifiers using behavior, emotion, linguistic style, and discussion topics as features. The performance of these classifiers indicates that fathers at risk of PPD can be predicted from their prepartum data alone. Overall, the best performing model used discussion topic features only with a recall score of 0.82. These findings could assist in the development of support and intervention tools for fathers during the prepartum period, with specific applicability to personalized and preventative support tools for at-risk fathers.

The impact of university brand identification and eWOM behaviour on students’ psychological well-being: a multi-group analysis among active and passive social media users

ABSTRACT Encouraging students to share positive online reviews should not be regarded only as a marketing tool. This study aims to examine (i) the relationship between positive online reviews behaviour for university and students’ well-being; and (ii) the impact of eWOM behaviour on students’ psychological well-being among active (those who share and read information) and passive (those who only read information) social media users. An online survey was conducted to examine the interplay of university brand identification, positive eWOM behaviour, and university life satisfaction on students’ psychological well-being. Results found that students who share positive reviews about university on social media tend to have better psychological health. This study also revealed that active social media users benefit more in terms of well-being through sharing positive online reviews about their universities. Implications for theory and practice of social media marketing in the higher education context are discussed.

Social media and depression symptoms: A network perspective.

Passive social media use (PSMU)-for example, scrolling through social media news feeds-has been associated with depression symptoms. It is unclear, however, if PSMU causes depression symptoms or vice versa. In this study, 125 students reported PSMU, depression symptoms, and stress 7 times daily for 14 days. We used multilevel vector autoregressive time-series models to estimate (a) contemporaneous, (b) temporal, and (c) between-subjects associations among these variables. (a) More time spent on PSMU was associated with higher levels of interest loss, concentration problems, fatigue, and loneliness. (b) Fatigue and loneliness predicted PSMU across time, but PSMU predicted neither depression symptoms nor stress. (c) Mean PSMU levels were positively correlated with several depression symptoms (e.g., depressed mood and feeling inferior), but these associations disappeared when controlling for all other variables. Altogether, we identified complex relations between PSMU and specific depression symptoms that warrant further research into potentially causal relationships. (PsycINFO Database Record (c) 2019 APA, all rights reserved).

Active and Passive Social Media Use and Symptoms of Anxiety and Depressed Mood Among Icelandic Adolescents.

Adolescent use of social media platforms such as Facebook, Instagram, and Snapchat has increased dramatically over the last decade and now pervades their everyday social lives. Active and passive social media use may impact emotional health differently, but little is known about whether and to what extent either type of social media use influences emotional distress among young people. We analyzed population survey data collected from Icelandic adolescents (N = 10,563) to document the prevalence of social media use and investigate the relationship of both active and passive social media use with self-reported symptoms of anxiety and depressed mood. A hierarchical linear regression model revealed that passive social media use was related to greater symptoms of anxiety and depressed mood among adolescents and active social media use was related to decreased symptoms of anxiety and depressed mood, even after controlling for time spent on social media. When adding known risk and protective factors, self-esteem, offline peer support, poor body image, and social comparison to the model, active use was not related to emotional distress; however, passive use was still related to adolescent symptoms of anxiety and depressed mood. The effect of social media on emotional distress differed by gender as time spent on social media had a stronger relationship with emotional distress among girls. In addition, passive use was more strongly related to symptoms of depressed mood among girls. Future research should include risk and protective factors as mediators of different types of social media use and adolescent emotional distress.

Active and Passive Facebook Use and Associated Costly Off-line Helping Behavior.

This study examined active and passive Facebook use and the associated costly altruistic behavior. Results supported the hypothesis that social media use, particularly active use, can enhance the perceived relatedness of individuals in need and reduce the influence of genetic relatedness in helping. Passive social media users tended to help kin in both situations involving low and high biological cost, whereas they were less likely to risk themselves to help social media friends and strangers in extraordinary situations involving high biological cost. However, active social media users, who had a broader sense of connectedness with genetically unrelated individuals, were more willing to help social media friends and strangers in both situations involving high and low biological cost.