Explore the vast range of titles available.

Natural language use is a promising candidate for the development of innovative measures of well-being to complement self-report measures. The type of words individuals use can reveal important psychological processes that underlie well-being across the lifespan. In this preregistered, cross-sectional study, we propose a conceptual model of language markers of well-being and use written narratives about healthy aging ( N = 701) and computerized text analysis (LIWC) to empirically validate the model. As hypothesized, we identified a model with three groups of language markers (reflecting affective, evaluative, and social processes). Initial validation with established self-report scales ( N = 30 subscales) showed that these language markers reliably predict core components of well-being and underlying processes. Our results support the concurrent validity of the conceptual language model and allude to the added benefits of language-based measures, which are thought to reflect less conscious processes of well-being. Future research is needed to continue validating language markers of well-being across the lifespan in a theoretically informed and contextualized way, which will lay the foundation for inferring people’s well-being from their natural language use.

The huge power for social influence of digital media may come with the risk of intensifying common societal biases, such as gender and age stereotypes. Speaker’s gender and age also behaviorally manifest in language use, and language may be a powerful tool to shape impact. The present study took the example of TED, a highly successful knowledge dissemination platform, to study online influence. Our goal was to investigate how gender- and age-linked language styles–beyond chronological age and identified gender–link to talk impact and whether this reflects gender and age stereotypes. In a pre-registered study, we collected transcripts of TED Talks along with their impact measures, i.e., views and ratios of positive and negative talk ratings, from the TED website. We scored TED Speakers’ ( N = 1,095) language with gender- and age-morphed language metrics to obtain measures of female versus male, and younger versus more senior language styles. Contrary to our expectations and to the literature on gender stereotypes, more female language was linked to higher impact in terms of quantity, i.e., more talk views, and this was particularly the case among talks with a lot of views. Regarding quality of impact, language signatures of gender and age predicted different types of positive and negative ratings above and beyond main effects of speaker’s gender and age. The differences in ratings seem to reflect common stereotype contents of warmth (e.g., “beautiful” for female, “courageous” for female and senior language) versus competence (e.g., “ingenious”, “informative” for male language). The results shed light on how verbal behavior may contribute to stereotypical evaluations. They also illuminate how, within new digital social contexts, female language might be uniquely rewarded and, thereby, an underappreciated but highly effective tool for social influence. WC = 286 (max . 300 words) .

The COVID-19 pandemic posed a global threat to nearly every society around the world. Individuals turned to their political leaders to safely guide them through this crisis. The most direct way political leaders communicated with their citizens was through official speeches and press conferences. In this report, we compare psychological language markers of four different heads of state during the early stage of the pandemic. Specifically, we collected all pandemic-related speeches and press conferences delivered by political leaders in the USA (Trump), UK (Johnson), Germany (Merkel), and Switzerland (Swiss Federal Council) between February 27th and August 31st, 2020. We used natural language analysis to examine language markers of expressed positive and negative emotions, references to the community (we-talk), analytical thinking, and authenticity and compare these language markers across the four nations. Level differences in the language markers between the leaders can be detected: Trump’s language was characterized by a high expression of positive emotion, Merkel’s by a strong communal focus, and Johnson’s and the Swiss Federal Council by a high level of analytical thinking. Overall, these findings mirror different strategies used by political leaders to deal with the COVID-19 pandemic.

Corona contact tracing apps are a novel and promising measure to reduce the spread of COVID-19. They can help to balance the need to maintain normal life and economic activities as much as possible while still avoiding exponentially growing case numbers. However, a majority of citizens need to be willing to install such an app for it to be effective. Hence, knowledge about drivers for app uptake is crucial. This study aimed to add to our understanding of underlying psychological factors motivating app uptake. More specifically, we investigated the role of concern for one's own health and concern to unknowingly infect others. A two-wave survey with 346 German-speaking participants from Switzerland and Germany was conducted. We measured the uptake of two decentralized contact tracing apps officially launched by governments (Corona-Warn-App, Germany; SwissCovid, Switzerland), as well as concerns regarding COVID-19 and control variables. Controlling for demographic variables and general attitudes toward the government and the pandemic, logistic regression analysis showed a significant effect of self-focused concerns (odds ratio [OR] 1.64, P=.002). Meanwhile, concern of unknowingly infecting others did not contribute significantly to the prediction of app uptake over and above concern for one's own health (OR 1.01, P=.92). Longitudinal analyses replicated this pattern and showed no support for the possibility that app uptake provokes changes in levels of concern. Testing for a curvilinear relationship, there was no evidence that \"too much\" concern leads to defensive reactions and reduces app uptake. As one of the first studies to assess the installation of already launched corona tracing apps, this study extends our knowledge of the motivational landscape of app uptake. Based on this, practical implications for communication strategies and app design are discussed.

Feelings of affection (i.e., fondness and intense positive regard) are a hallmark of close relationships. Existing studies have often examined affection as a trait or behavior, but rarely as an emotional experience in social interactions. In two dyadic observational interaction studies (total N  = 314 individuals), 49 US-based married couples (age range: 21–65) and 108 friendship dyads (age range: 15–26) engaged in two naturalistic 10-min conversations about (a) a topic of disagreement (conflict conversation) and (b) something they enjoyed doing together (pleasant conversation) and reported on their subjective emotional experiences (e.g., affection, using an emotion checklist following each conversation) and relationship satisfaction. Conversation transcripts were analyzed using natural language analysis. Results showed that experiences of affection were most strongly associated with experiences of compassion, amusement, and excitement, as well as with less anger, and were unrelated to most other negative emotions. Natural language analysis further showed that greater positive (but not negative) emotional tone was associated with greater affection (especially among friends in the pleasant conversations). Levels of affection were consistently higher in pleasant versus conflict conversations and similar across marital versus friendship interactions. Finally, experiences of affection were associated with greater relationship satisfaction for friends across conversations and for spouses (women) in the pleasant conversation. These findings contribute to our understanding of affection as a foundational emotional experience in close relationships and highlight avenues for future research.

During the Covid-19 pandemic, the global public has relied on their political leaders to guide them through the crisis. The current study investigated if and how political leader’s rhetoric would be associated with collective emotional responses. We used text analytical methods to investigate association between political leader speech and daily aggregates of expressed emotions on Twitter. We collected posts concerning Covid-19 and all speeches by the highest executive power from the USA, UK, Germany, and Switzerland. We applied cross-lagged time series analyses. Political leaders whose communication was more analytic and communal corresponded to increased positivity on Twitter. Collective communal focus, in turn, increased after speeches which were more analytic and negative. Processes of socio-affective dynamics between political leaders and the general public are apparent. Our findings demonstrate that political leaders who present public crises competently and with a sense of community are associated with more positive responses on Twitter.

Abstract Affection is a positive emotion that plays an important role in intimate relationships. In a laboratory-based dyadic study of 52 middle-aged married couples (104 individuals) from highly diverse socioeconomic backgrounds, we examined spouses' subjective experience of affection across different marital interaction contexts, correlates, and specificity. Results showed that (1) wives and husbands experienced lower affection in a conflict conversation compared to a positive conversation. Moreover, (2) for wives, higher affection in the conflict conversation was associated with lower physiological reactivity (i.e., less heart rate acceleration from baseline to conflict discussion). For wives, higher affection was also associated with higher marital satisfaction for themselves and their husbands. These findings were specific to affection and did not robustly emerge for other positive emotions. These findings support views of affection as a positive, context-sensitive emotion that may become particularly important in intimate relationship conflict. Directions for future research are discussed.

Abstract Cardiovascular reactivity in midlife may predict health problems in later life, but few studies have examined cardiovascular reactivity during marital interactions, as an important interpersonal context, and potentially modifiable linguistic correlates. This laboratory-based study examined emotion word use (i.e., positive and negative emotion words derived using automated language analysis) and cardiovascular reactivity (i.e., heart rate changes from baseline) across two marital interaction contexts (i.e., positive and conflict conversation) in 46 married couples (92 individuals; age: M = 42.6, SD = 8.5). Results showed that (1) spouses who used more negative emotion words during conflict showed higher cardiovascular reactivity. Moreover, (2) when husbands used a more diverse negative emotion word vocabulary during positive conversations, their wives showed higher cardiovascular reactivity and (3) when wives used a more diverse positive emotion vocabulary, their husbands showed lower cardiovascular reactivity. Findings highlight the relevance of couples' emotion word use for cardiovascular reactivity in midlife.

Abstract Close relationships represent an important context for aging. Romantic partners can provide important resources for day-to-day individual and relational functioning by regulating their emotions together. Emotional co-regulation attempts are, however, not always successful and may depend on situational factors such as psychological availability, i.e., an individual’s current ability to be open and attentive to their partner’s needs. The present study examined emotional co-regulation in the daily lives of younger (N=62; 18-33 years) and older (N=56; 57-87 years) couples, focusing on the particular role of psychological availability. In a 21-day experience-sampling study, both participating partners reported their momentary emotional experiences, perceived psychological availability, relationship quality and (co)-regulation strategies three times a day. Results from dyadic multilevel modeling revealed that older and younger participants did not differ in the strategies they used to regulate their own and their partners emotions, but older couples showed greater emotional synchrony (i.e., coordinated changes between partners’ emotional experiences) throughout the study. When partners experienced greater psychological availability, they used more adaptive (e.g., positive humor, responsive touch) and fewer maladaptive (e.g., ruminative brooding) emotion regulation strategies. They also experienced more positive emotions and greater relationship quality when they were more psychologically available, and these associations were particularly evident among younger couples. The findings suggest that older partners were more attuned to each other’s emotions, but that their co-regulation depended less on psychological availability. This potentially speaks to more automatic co-regulation among older couples and opens the door for further investigations of situational factors that impact successful co-regulation.

Abstract Ambulatory assessment methods offer new possibilities to study cognitive, emotional, and social processes in the setting in which they naturally occur, namely in the daily life of individuals and couples. This allows to zoom into processes with great relevance for healthy aging and well-being over the lifespan. Research on daily psychological processes opens the door for investigating the interplay with contextual (daily stress, social resources) and stable factors (relationship quality status, accumulated discrimination) that are known to shape these dynamic processes. This symposium will present and discuss innovative contributions investigating daily emotional and cognitive functioning and their interplay with social and individual characteristics over the adult lifespan. The first study by Haas and colleagues will present experience sampling data on daily prospective memory performance in couples. Haas et al. will offer a dyadic perspective on cognitive functioning by examining how prospective memory performance is co-regulated in the daily lives of younger and older couples. Meier et al. will present another study from the same couples project; here the focus is on age differences in couples' \"we-ness\" and its relationship with daily positive emotional experiences and how they are shared with the partner. The series of talks will be completed by Zavala et al. who examined associations between stress and emotional health in daily life and its interplay with prior discrimination experiences of an age-diverse sample of BIPOC adults. After these individual contributions, Christina Roecke will discuss the presented studies and provide her reflections on the results and their implications.