Tweet you right back: Follower anxiety predicts leader anxiety in social media interactions during the SARS-CoV-2 pandemic.

Recent research has shown that organizational leaders' tweets can influence employee anxiety. In this study, we turn the table and examine whether the same can be said about followers' tweets. Based on emotional contagion and a dataset of 108 leaders and 178 followers across 50 organizations, we infer and track state- and trait-anxiety scores of participants over 316 days, including pre- and post the onset of the SARS-CoV-2 pandemic and crisis. We show that although leaders traditionally possess greater authority and power than their followers, followers have the power to influence their leaders' state anxiety. In addition, this influence is particularly strong in the case of less trait anxious leaders.

Don't Go Chasing Narcissists: A Relational-Based and Multiverse Perspective on Leader Narcissism and Follower Engagement Using a Machine Learning Approach.

Although research interest in leader narcissism has been on the rise over the past few years, prior literature has predominantly discussed leader narcissism from a leader-centric perspective. In this article, we provide a relational-based perspective of leader narcissism by examining the interaction between follower personality traits and leader narcissism on follower engagement in an online context. We combine a machine learning (ML) approach and multiverse analysis to predict the personality traits of a large sample of leaders and engaged followers across 18 created multiverses and analyze hypothesized interactions using multilevel regressions, also accounting for leader gender moderation effects. We find that the interaction between leader narcissism and follower agreeableness and follower neuroticism positively predicts follower engagement, whereas the interaction between leader narcissism and follower openness negatively predicts follower engagement. In addition, we find that leader gender plays an important moderating role. Limitations and implications are discussed.

How to avoid others and influence people: Attachment orientations predict leader prototypicality in ad hoc teams.

The existing literature has explored the role and importance of personality traits in leader prototypicality. However, limited research exists concerning the link between personality traits and leader emergence or prototypicality in ad hoc teams. Based on the relational leadership and attachment literature, we examine whether leader attachment orientations can serve as antecedents of leader prototypicality in ad hoc teams. Utilizing an ad hoc problem-solving task featuring a round-robin design in a sample of 197 participants, we find that individuals with a dominant avoidant attachment orientation were more likely to be perceived as leader-like or leader prototypical. In comparison, individuals with a dominant anxious attachment orientation were much less likely to emerge as leader prototypical. We interpret these findings in alignment with attachment theory and relational leadership and discuss the role of relational personality traits in ad hoc teams with no formally appointed leader.

Is it too late now to say we're sorry? Examining anxiety contagion and crisis communication strategies using machine learning.

In this paper, we explore the role of perceived emotions and crisis communication strategies via organizational computer-mediated communication in predicting public anxiety, the default crisis emotion. We use a machine-learning approach to detect and predict anxiety scores in organizational crisis announcements on social media and the public's responses to these posts. We also control for emotional and language tones in organizational crisis responses using a separate machine learning algorithm. Perceived organizational anxiety positively influences public anxiety, confirming the occurrence of emotional contagion from the organization to the public. Crisis response strategies moderated this relationship, so that responsibility acknowledgment lowered public anxiety the most. We argue that by accounting for emotions expressed in organizational crisis responses, organizations may be able to better predict and manage public emotions.

Time After Time: Attachment Orientations and Impression Formation in Initial and Longer-Term Team Interactions.

If securely attached individuals typically exhibit more desirable attributes, can insecure individuals be perceived positively when working in teams despite their interpersonal disadvantages? In an exploratory study, using both a vignette based experimental research design (n = 636) and a round-robin study of professionals working on a team task for nine consecutive weeks (k = 648), we examined the evolving impressions of insecurely attached individuals over time. We find that while anxiously attached individuals are perceived more positively in initial interactions, this initial positive effect for anxious attachment disappeared over time as individuals within teams gained more relational knowledge about their team members. We also found a stable and negative effect of avoidant attachment. We discuss possible reasons for the temporal underpinnings of this effect and compare our findings to previous literature.

Don't you tweet me badly: Anxiety contagion between leaders and followers in computer-mediated communication during COVID-19.

Do organizational leaders' tweets influence their employees' anxiety? And if so, have employees become more susceptible to their leader's social media communications during the COVID-19 pandemic? Based on emotional contagion and using machine learning algorithms to track anxiety and personality traits of 197 leaders and 958 followers across 79 organizations over 316 days, we find that during the pandemic leaders' tweets do influence follower state anxiety. In addition, followers of trait anxious leaders seem somewhat protected by sudden spikes in leader state anxiety, while followers of less trait anxious leaders are most affected by increased leader state anxiety. Multi-day lagged regressions showcase that this effect is stronger post-onset of the COVID-19 pandemic compared to the pre-pandemic crisis context.

From Ideal to Real: Attachment Orientations Guide Preference for an Autonomous Leadership Style.

Autonomy is a key characteristic of attachment relations that varies as a function of attachment orientations and is also a key personality characteristic of leadership perceptions. In the presented research, we reasoned that the relationship between attachment and autonomy-related preference for specific leaders and leadership behavior would be a function of individuals' insecure attachment strategies. We tested our hypotheses in two studies. Study 1 used Multiple Indicators Multiple Causes (MIMIC) modeling to test expectations based on a cross-sectional design, while Study 2 utilized a vignette-based experimental design. We find that anxious individuals attributed less positive evaluations to an autonomous leadership style (Study 1), while avoidant persons attributed higher leader competence to an autonomous leader description (Study 2). Compared to less anxious participants, highly anxious participants attributed lower competence to the autonomous leader description. By examining how individual differences in attachment orientations can indirectly influence the ideal leader categorization process, the present set of studies lends support to the importance of attachment orientations and related working models in leader perception and contribute to the literature on leader-follower fit. Using a survey and experimental approach, we examine how followers' attachment schemas can shape the leader influence process, specifically concerning a preference for an autonomous leadership style.

Generating actionable insights from free-text care experience survey data using qualitative and computational text analysis: A study protocol.

Introduction:The National Care Experience Programme (NCEP) conducts national surveys that ask people about their experiences of care in order to improve the quality of health and social care services in Ireland. Each survey contains open-ended questions, which allow respondents to comment on their experiences. While these comments provide important and valuable information about what matters most to service users, there is to date no unified approach to the analysis and integration of this detailed feedback. The objectives of this study are to analyse qualitative responses to NCEP surveys to determine the key care activities, resources and contextual factors related to positive and negative experiences; to identify key areas for improvement, policy development, healthcare regulation and monitoring; and to provide a tool to access the results of qualitative analyses on an ongoing basis to provide actionable insights and drive targeted improvements. Methods:Computational text analytics methods will be used to analyse 93,135 comments received in response to the National Inpatient Experience Survey and National Maternity Experience Survey. A comprehensive analytical framework grounded in both service management literature and the NCEP data will be employed as a coding framework to underpin automated analyses of the data using text analytics and deep learning techniques. Scenario-based designs will be adopted to determine effective ways of presenting insights to knowledge users to address their key information and decision-making needs. Conclusion:This study aims to use the qualitative data collected as part of routine care experience surveys to their full potential, making this information easier to access and use by those involved in developing quality improvement initiatives. The study will include the development of a tool to facilitate more efficient and standardised analysis of care experience data on an ongoing basis, enhancing and accelerating the translation of patient experience data into quality improvement initiatives.

All about that trait: Examining extraversion and state anxiety during the SARS-CoV-2 pandemic using a machine learning approach.

We examine the longitudinal relation between extraversion and state anxiety in a large cohort of New York City (NYC) residents using a linguistic analytical machine learning approach. Anxiety, both state and trait, and Big Five personality traits were predicted using micro-blog data on the Twitter platform. In total, we examined 1336 individuals and a total of 200,289 observations across 246 days. We find that before the onset of SARS-CoV-2 in NYC (before 1st March 2020), extraverts experienced lower state anxiety compared to introverted individuals, while this difference shrinks after the onset of the pandemic, which provides evidence that SARS-COV-2 is affecting all individuals regardless of their extraversion trait disposition. Secondly, a longitudinal examination of the presented data shows that extraversion seems to matter more greatly in the early days of the crisis and towards the end of our examined time range. We interpret results within the unique SARS-CoV-2 context and discuss the relationship between SARS-COV-2 and individual differences, namely personality traits. Finally, we discuss results and outline the limitations of our approach.

I Need a Doctor, Call Me a Doctor: Attachment and the Evaluation of General Practitioners before and during the COVID-19 Pandemic.

Attachment is a system of threat regulation, and insecure (anxious and avoidant) attachment orientations are important individual difference antecedents to the cognitive and affective attributions of trait inferences. However, little is known about how threat-related contexts, such as the current COVID-19 pandemic, influence attachment-related socio-cognitive schemas. Using an experimental research design across two independent samples of 330 (pre-onset of COVID-19) and 233 (post-onset of COVID-19) participants, we tested whether attachment orientations influenced general practitioner (GP) ratings and selection differently pre- and post-onset of the COVID-19 pandemic. We found that during the COVID-19 pandemic, when presented with only negative information signals, avoidant individuals attributed positive ratings to GPs, with differing ratings as the number of positive signals increased. Differences between pre- and post-onset of the COVID-19 pandemic were less pronounced with regards to positive signals. We discuss these results in line with signal detection theory (SDT) and provide practical implications in response to our findings.

Attachment Orientations Guide the Transfer of Leadership Judgments: Culture Matters.

Two experiments tested the role of global and relationship-specific attachment orientations in leader transference, a social-cognitive process in which mental representations of past leaders are associated with the evaluations of new, similar leaders. Individuals scoring higher on anxious attachment were more likely to hold high just treatment expectations of new leaders who were similar to their previous leaders. Conversely, avoidant individuals evaluated new similar leaders low on just treatment expectations and perceived them as less effective. Relationship-specific attachment orientations predicted transfer of behavioral judgments of just treatment, while global attachment orientations predicted transfer of perceived leader effectiveness. These effects were moderated by culture. In two collectivistic cultures (Greece and India), avoidant individuals demonstrated low just treatment expectations of their new similar leader. In an individualistic culture (United States), avoidant participants showed high behavioral expectations of their new, similar, leader. The results inform emerging views on relational social-cognitive processes in leader-follower interactions.