Validating daily social media macroscopes of emotions.
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ABSTRACT:
SUBMITTER: Pellert M
PROVIDER: S-EPMC9253324 | biostudies-literature |
REPOSITORIES: biostudies-literature
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Project description:ObjectivesThe prevalence of social media use in daily life is increasing; however, little is known about its cognitive costs and/or benefits. Social media use may help to offload memory to an external resource as well as to facilitate social relations, which could bolster or hinder everyday memory. Further, the relationship between social media use and memory may be moderated by age such that associations-whether positive or negative-could be exacerbated among older adults due to age-related declines.MethodsUsing an 8-day daily diary study from the Midlife in the United States Refresher cohort (n = 782, 25-75 years), multilevel models examined the impact of daily social media use, age, and their interaction on same-day and next-day memory failures.ResultsThe concurrent model revealed that on days when social media use was high, individuals reported more memory failures. The lagged model further revealed that higher previous-day social media use was associated with more memory failures on the subsequent day, controlling for previous-day memory failures. These effects were not moderated by age. Post hoc analyses revealed no evidence of reverse-causation as previous-day memory failures did not predict next-day social media use.ConclusionsAlthough past research has consistently shown that social engagement is a protective resource for memory, social media use may be a risk factor for memory failures for adults of any age. These findings highlight the growing importance of understanding the implications of social media use.
| S-EPMC7021445 | biostudies-literature
Project description:Older American adults are increasingly utilizing communication technologies, but research has seldom explored older adults' daily social media use and its interface with other "offline" social ties. To explore a complementary and/or compensatory function of social media in later life, this study employed data from the Daily Experiences and Well-Being Study (2016-2017) to examine associations between daily social media use, daily social encounters, social network structure, and daily mood. Community-dwelling older adults (N = 310; Mage = 73.96) reported on their overall social network structure (diversity in types of social ties and size of network), their daily social encounters in-person and by phone, social media use, and emotional well-being for 5 to 6 days. Multilevel models revealed that daily social media use was associated with daily mood in the context of daily social encounters and the size of the social network. Individuals reported less negative mood on days with more social media use and more in-person encounters. More daily social media use was associated with more positive mood for individuals with a relatively small social network but not for their counterparts with larger social networks. Findings suggest that social media is a distinct form of social resource in later life that may complement the emotional benefits of daily social encounters and compensate for the age-related reduction in social network size. Future research should consider how socially isolated older adults might use computer-mediated communication such as social media to foster a sense of social connection.
| S-EPMC10508904 | biostudies-literature
Project description:False rumors (often termed "fake news") on social media pose a significant threat to modern societies. However, potential reasons for the widespread diffusion of false rumors have been underexplored. In this work, we analyze whether sentiment words, as well as different emotional words, in social media content explain differences in the spread of true vs. false rumors. For this purpose, we collected [Formula: see text] rumor cascades from Twitter, comprising more than 4.5 million retweets that have been fact-checked for veracity. We then categorized the language in social media content to (1) sentiment (i.e., positive vs. negative) and (2) eight basic emotions (i. e., anger, anticipation, disgust, fear, joy, trust, sadness, and surprise). We find that sentiment and basic emotions explain differences in the structural properties of true vs. false rumor cascades. False rumors (as compared to true rumors) are more likely to go viral if they convey a higher proportion of terms associated with a positive sentiment. Further, false rumors are viral when embedding emotional words classified as trust, anticipation, or anger. All else being equal, false rumors conveying one standard deviation more positive sentiment have a 37.58% longer lifetime and reach 61.44% more users. Our findings offer insights into how true vs. false rumors spread and highlight the importance of managing emotions in social media content.
| S-EPMC8608927 | biostudies-literature
Project description:BackgroundThe literature has identified various factors that promote or hinder people's intentions towards COVID-19 vaccination, and structural equation modelling (SEM) is a common approach to validate these associations. We propose a conceptual framework called social media infodemic listening (SoMeIL) for public health behaviours. Hypothesizing parameters retrieved from social media platforms can be used to infer people's intentions towards vaccination behaviours. This study preliminarily validates several components of the SoMeIL conceptual framework using SEM and Twitter data and examines the feasibility of using Twitter data in SEM research.MethodsA total of 2420 English tweets in Toronto or Ottawa, Ontario, Canada, were collected from March 8 to June 30, 2021. Confirmatory factor analysis and SEM were applied to validate the SoMeIL conceptual framework in this cross-sectional study.FindingsThe results showed that sentiment scores, the log-numbers of favourites and retweets of a tweet, and the log-numbers of a user's favourites, followers, and public lists had significant direct associations with COVID-19 vaccination intention. The sentiment score of a tweet had the strongest relationship, whereas a user's number of followers had the weakest relationship with the intention of COVID-19 vaccine uptake.InterpretationThe findings preliminarily validate several components of the SoMeIL conceptual framework by testing associations between self-reported COVID-19 vaccination intention and sentiment scores and the log-numbers of a tweet's favourites and retweets as well as users' favourites, followers, and public lists. This study also demonstrates the feasibility of using Twitter data in SEM research. Importantly, this study preliminarily validates the use of these six components as online reaction behaviours in the SoMeIL framework to infer the self-reported COVID-19 vaccination intentions of Canadian Twitter users in two cities.FundingThis study was supported by the 2023-24 Ontario Graduate Scholarship.
| S-EPMC10955635 | biostudies-literature
Project description:The literature concerning biological influences on positive social behavior shows that, in nonthreatening contexts, tonic oxytocin (OT) and respiratory sinus arrhythmia (RSA) each predict positive, affiliative behaviors toward certain others and are associated with positive health outcomes. The purpose of this investigation was to determine the degree to which the positive affiliative correlates of OT and RSA can be distinguished when observed at the level of everyday life events. A sample of midlife adults (N = 73) provided tonic indices of these biological characteristics, as well as perceptions of a variety of common life events alongside reports of their emotions during those events. OT and RSA each independently moderated the link between perceived event sociality and positive emotions, whereas only RSA predicted the probability of being with other people during an event. These findings suggest that OT and RSA may each be linked to positive social experiences in complementary yet distinct ways. (PsycINFO Database Record
| S-EPMC5751753 | biostudies-literature
Project description:The understanding of the public response to COVID-19 vaccines is the key success factor to control the COVID-19 pandemic. To understand the public response, there is a need to explore public opinion. Traditional surveys are expensive and time-consuming, address limited health topics, and obtain small-scale data. Twitter can provide a great opportunity to understand public opinion regarding COVID-19 vaccines. The current study proposes an approach using computational and human coding methods to collect and analyze a large number of tweets to provide a wider perspective on the COVID-19 vaccine. This study identifies the sentiment of tweets using a machine learning rule-based approach, discovers major topics, explores temporal trend and compares topics of negative and non-negative tweets using statistical tests, and discloses top topics of tweets having negative and non-negative sentiment. Our findings show that the negative sentiment regarding the COVID-19 vaccine had a decreasing trend between November 2020 and February 2021. We found Twitter users have discussed a wide range of topics from vaccination sites to the 2020 U.S. election between November 2020 and February 2021. The findings show that there was a significant difference between tweets having negative and non-negative sentiment regarding the weight of most topics. Our results also indicate that the negative and non-negative tweets had different topic priorities and focuses. This research illustrates that Twitter data can be used to explore public opinion regarding the COVID-19 vaccine.
| S-EPMC8540945 | biostudies-literature
Project description:Recent societal changes, including a global pandemic, have exacerbated experiences of and attention to burnout related to work and parenting. In the present study, we investigated how several social forces can act as demands and resources to impact work-related and parental burnout. We tested two primary hypotheses in a sample of women who responded to an online survey (N for analyses ranged from 2376 to 3525). We found that social comparisons, social media use, negative emotions when comparing oneself to others on social media, and a high do it all discrepancy (feeling one should be able to do it all more so than perceptions that one can) were correlated with higher reports of work-related and parental burnout. Alternatively, positive emotions when comparing oneself to others and social support were related to lower reports of work-related and parental burnout. The influence of social media use on burnout was mediated by the emotions experienced when comparing oneself to others on social media. Tests of moderation indicated that social comparisons had stronger relationships with burnout for those with higher expectations that they should be able to do it all verses can do it all. Tests of social support as a moderator of the relationships between social demands and burnout were largely non-significant. Based on these findings, we make practical suggestions for interventions to increase positive emotions experienced from social media use, and to mediate the do it all discrepancy by redefining expectations around "doing it all."
| S-EPMC9532694 | biostudies-literature
Project description:Social media users are often exposed to cute content that evokes emotional reactions and influences them to feel or behave certain ways. The cuteness phenomenon in social media has been scarcely studied despite its prevalence and potential to spread quickly and affect large audiences. The main framework for understanding cuteness and emotions related to cuteness outside of social media is baby schema (having juvenile characteristics), which triggers parental instincts. We propose that baby schema is a necessary but not sufficient component of explaining what constitutes cuteness and how people react to it in the social media context. Cute social media content may also have characteristics that evoke approach motivations (a desire to interact with an entity, generally with the expectation of having a positive experience) that can manifest behaviorally in sharing and other prosocial online behaviors. We developed and performed initial validation for measures in social media contexts of: (1) cute attributes that encompass both baby schema and other proposed cuteness characteristics (the Cuteness Attributes Taxonomy, CAT) and (2) the emotional reactions they trigger (Heartwarming Social Media, HSM). We used the Kama Muta Multiplex Scale (KAMMUS Two), as previously validated measure of kama muta (an emotion akin to tenderness; from Sanskrit, "moved by love") as a measure of emotional reaction to cute stimuli and the dimension Cute Content of the Social Media Emotions Annotation Guide (SMEmo-Cute Content) as a developed measure of gestalt cute content to help validate our newly developed measures. Using 1,875 Polish tweets, our results confirmed that cute social media content predicted a kama muta response, but not all KAMMUS Two subscales were sensitive to cute content, and that the HSM measure was a better indicator of the presence of cute content. Further, the CAT measure is an effective means of categorizing cute attributes of social media content. These results suggest potential differences between in-person, online, and social media experiences evoking cute emotional reactions, and the need for metrics that are developed and validated for use in social media contexts.
| S-EPMC10020712 | biostudies-literature
Project description:Using social media for health promotion is an innovative and emerging approach but remains relatively unexplored in cancer screening. Uptake of colorectal cancer (CRC) screening remains low and standard methods of reaching out are expensive with limited impact. The objective of this study is to conduct a cluster randomized controlled trial (RCT) to test the effectiveness of social media messages for CRC screening on screening intention (primary outcome). The results of this trial will be of interest to Cancer Care Ontario and are likely to be taken up by other screening programs looking for innovative and novel ways to increase screening participation. The study results will be easily translatable identifying the most compelling CRC screening messages while the approach can easily be translated to other cancer disease sites with screening programs.
| 2332186 | ecrin-mdr-crc
Project description:IntroductionGrounded in hierometer theory and social rank theory, this research examined how within-person fluctuations in social status relate to within-person fluctuations in self-esteem and several clinically relevant emotions. Both hierometer theory and social rank theory postulate that particular psychological mechanisms help individuals to navigate social hierarchies adaptively. However, hierometer theory emphasizes self-esteem, whereas social rank theory emphasizes emotions-specifically, depression, anxiety, and shame.MethodsWe conducted a 10-day diary study and analyzed the data using multilevel modeling. Participants (N = 345) completed daily measures of their social status, self-esteem, depression, anxiety, shame, and guilt.ResultsOn days when their status was higher, participants reported higher self-esteem and lower depression, anxiety, and shame. On days when their self-esteem was higher, participants reported lower depression, anxiety, and shame. These patterns persisted after controlling for baseline individual differences. Furthermore, multilevel mediation analyses indicated that daily self-esteem mediated the links between daily status, and, individually, daily depression, anxiety, and shame, but not guilt.ConclusionsSupporting hierometer theory and social rank theory, self-esteem, and the clinically relevant emotions (except for guilt) appear to serve a status-tracking function. Self-esteem plays a more primary role, accounting for the link between status and depression, anxiety, and shame.
| S-EPMC10087444 | biostudies-literature