Concreteness and Psychological Distance in Natural Language Use

Tomorrow versus a year from now: Do children represent the near and distant future differently?

Adults represent the near future more concretely and vividly than the distant future, with important implications for future-oriented behavior (e.g., planning, self-control). Although children are adept at describing future events at around 5 years of age, we know little about how temporal distance (i.e., "near" vs "distant") affects their future event representations. In a series of three experiments, we sought to determine the effects of temporal distance, age, and event frequency on children's future event representations. Participants, 5- to 9-year-olds, were asked to describe frequent (e.g., snack) and infrequent (e.g., party) events, with half of children imagining that these events would happen in the near future and the other half imagining that they would happen in the distant future. We investigated the effect of temporal distance on numerous event representation indicators (e.g., clarity, details, pronouns), all theoretically grounded in previous literature. Although children perceived near events as closer in time than distant events (Experiments 2 and 2b) and temporal distance affected the clarity of event representations (Experiment 2), most indicators were not affected by temporal distance. In contrast, event frequency (examined in Experiment 1) played an important role in children's event representations, with infrequent events being described more concretely than frequent events. Results suggest that young children may begin perceiving differences in temporal distance but that this does not translate to their event representations (e.g., clarity, pronouns) until later in development. Implications for children's future thinking and future research are discussed.

Fear and anxiety differ in construal level and scope

The fear-anxiety distinction has been extensively discussed and debated among emotion researchers. In this study, we tested this distinction from a social-cognitive perspective. Drawing on construal level theory and regulatory scope theory, we examined whether fear and anxiety differ in their underlying level of construal and scope. Results from a preregistered autobiographical recall study (N = 200) that concerned either a fear situation or an anxiety situation and a large dataset from Twitter (N = 104,949) indicated that anxiety was associated with a higher level of construal and a more expansive scope than fear. These findings support the notion that emotions serve as mental tools that deal with different challenges. While fear prompts people to seek immediate solutions to concrete threats in the here and now (contractive scope), anxiety prompts them to deal with distant and unknown threats that require more expansive and flexible solutions (expansive scope). Our study contributes to a growing literature on emotions and construal level and points to interesting avenues for further research.

Emergence of Covid-19 as a Novel Concept Shifts Existing Semantic Spaces

Conceptual knowledge is dynamic, fluid, and flexible, changing as a function of contextual factors at multiple scales. The Covid-19 pandemic can be considered a large-scale, global context that has fundamentally altered most people's experiences with the world. It has also introduced a new concept, COVID (or COVID-19), into our collective knowledgebase. What are the implications of this introduction for how existing conceptual knowledge is structured? Our collective emotional and social experiences with the world have been profoundly impacted by the Covid-19 pandemic, and experience-based perspectives on concept representation suggest that emotional and social experiences are critical components of conceptual knowledge. Such changes in collective experience should, then, have downstream consequences on knowledge of emotion- and social-related concepts. Using a naturally occurring dataset derived from the social media platform Twitter, we show that semantic spaces for concepts related to our emotional experiences with Covid-19 (i.e., emotional concepts like FEAR)-but not for unrelated concepts (i.e., animals like CAT)-show quantifiable shifts as a function of the emergence of COVID-19 as a concept and its associated emotional and social experiences, shifts which persist 6 months after the onset of the pandemic. The findings support a dynamic view of conceptual knowledge wherein shared experiences affect conceptual structure.

Quantifying changes in societal optimism from online sentiment

Individuals can hold contrasting views about distinct times: for example, dread over tomorrow's appointment and excitement about next summer's vacation. Yet, psychological measures of optimism often assess only one time point or ask participants to generalize about their future. Here, we address these limitations by developing the optimism curve, a measure of societal optimism that compares positivity toward different future times that was inspired by the Treasury bond yield curve. By performing sentiment analysis on over 3.5 million tweets that reference 23 future time points (2 days to 30 years), we measured how positivity differs across short-, medium-, and longer-term future references. We found a consistent negative association between positivity and the distance into the future referenced: From August 2017 to February 2020, the long-term future was discussed less positively than the short-term future. During the COVID-19 pandemic, this relationship inverted, indicating declining near-future- but stable distant-future-optimism. Our results demonstrate that individuals hold differentiated attitudes toward the near and distant future that shift in aggregate over time in response to external events. The optimism curve uniquely captures these shifting attitudes and may serve as a useful tool that can expand existing psychometric measures of optimism.

In search of time to bring the message on social media: Effects of temporal targeting and weather on digital consumers

Marketers always incline to deliver advertising messages to the right consumer at the right time. Yet, the question of when exactly should such a persuasive message be sent to a consumer remains elusive in the existing literature. The current study aims to address this research question within the theoretical framework of contextual marketing. The authors argue that contextual information such as time and weather can be used to design more effective mobile advertising campaigns on social media. The results of a field experiment in cooperation with a local restaurant suggest that ads delivered at consumers’ pre-decision stage (i.e., non-meal time) are more effective than those delivered at the decision stage (i.e., meal time) to increase consumer spending on the dining-in service. Furthermore, unpleasant weather conditions (i.e., less sunlight) are found to improve the effectiveness of advertising on consumer spending on mobile app food delivery orders. Overall, the authors open future research avenues by demonstrating how and why the two contextual factors, time and weather, influence digital consumer behavior.

Keeping One’s Distance: Mask Wearing is Implicitly Associated With Psychological Distance

Mask wearing plays a vital role in the fight against the novel coronavirus (COVID-19). Despite its ubiquity in everyday social life, it is still unknown how masked faces are mentally represented. Drawing on construal-level theory, we test the hypothesis that masked faces and unmasked faces are implicitly associated with psychological distance and proximity in memory, respectively. Four preregistered, high-powered experiments ( N = 354 adults) using the Implicit Association Test lend convergent support to this hypothesis across all four dimensions of psychological distance: social distance, spatial distance, temporal distance, and hypothetical distance. A mini meta-analysis validates the reliability of the findings (Hedge’s g = 0.46). The present work contributes to the growing literature on construal-level effects on implicit social cognition and enriches the current discussion on mask wearing in the pandemic and beyond.

Language patterns of outgroup prejudice

Although explicit verbal expression of prejudice and stereotypes may have become less common due to the recent rise of social norms against prejudice, prejudice in language still persists in more subtle forms. It remains unclear whether and how language patterns predict variance in prejudice across a large number of minority groups. Informed by construal level theory, intergroup-contact theory, and linguistic expectancy bias, we leverage a natural language corpus of 1.8 million newspaper articles to investigate patterns of language referencing 60 U.S. minority groups. We found that perception of social distance among immigrant groups is reflected in language production: Groups perceived as socially distant (vs. close) are also more likely to be mentioned in abstract (vs. concrete) language. Concreteness was also strongly positively correlated with sentiment, a phenomenon that was unique to language concerning minority groups, suggesting a strong tendency for more socially distant groups to be represented with more negative language. We also provide a qualitative exploration of the content of outgroup prejudice by applying Latent Dirichlet Allocation to language referencing minority groups in the context of immigration. We identified 15 immigrant-related topics (e.g., politics, arts, crime, illegal workers, museums, food) and the strength of their association and relationship with perceived sentiment for each minority group. This research demonstrates how perceived social distance and language concreteness are related and correlate with outgroup negativity, provides a practical and ecologically valid method for investigating perceptions of minority groups in language, and helps elaborate the connection between theoretical positions from social psychology with recent studies from computer science on prejudice embedded in natural language.

Does Temporal Distance Influence Abstraction? A Large Pre-Registered Experiment

Construal level theory has been extraordinarily generative both within and beyond social psychology, yet the individual effects that form the empirical foundation of the theory have yet to be carefully probed and precisely estimated using large samples and preregistered analysis plans. In a highly powered and preregistered study, we tested the effect of temporal distance on abstraction, using one of the most common operationalizations of temporal distance (thinking about a future point in time that is one day vs. one year from today) and one of the most common operationalizations of abstraction (preference for more abstract vs. concrete action representations, as assessed by the Behavioral Identification Form). Participants preferred significantly more abstract action representations in the distant (vs. near) future condition, with an effect size of d = .276, 95% CI [.097, .455]. We discuss implications, future directions, and constraints on the generality of these results.

The spread of fake science: Lexical concreteness, proximity, misinformation sharing, and the moderating role of subjective knowledge

The spread of science misinformation harms efforts to mitigate threats like climate change or coronavirus. Construal-level theory suggests that mediated messages can prime psychological proximity to threats, having consequences for behavior. Via two MTurk experiments, I tested a serial mediation process model predicting misinformation sharing from lexical concreteness, through psychological proximity and perceived threat. In Study 1, concrete misinformation primed psychological proximity which, in turn, increased perceived threat. Perceived threat then increased the likelihood that misinformation would be shared. Source credibility was also shown to positively influence misinformation sharing. Study 2 advanced this by showing this process was moderated by subjective knowledge. Specifically, the effect of perceived threat on misinformation sharing was stronger for those with higher subjective knowledge. Furthermore, the indirect effect of lexical concreteness on misinformation sharing was stronger for those with higher subjective knowledge. Results and limitations are discussed within the lens of construal-level theory and science communication.

Regulatory Scope and Its Mental and Social Supports

Adaptive functioning requires the ability to both immerse oneself in the here and now as well as to move beyond current experience. We leverage and expand construal-level theory to understand how individuals and groups regulate thoughts, feelings, and behavior to address both proximal and distal ends. To connect to distant versus proximal events in a way that meaningfully informs and guides responses in the immediate here and now, people must expand versus contract their regulatory scope. We propose that humans have evolved a number of mental and social tools that enable the modulation of regulatory scope and address the epistemic, emotive, and executive demands of regulation. Critically, across these tools, it is possible to distinguish a hierarchy that varies in abstractness. Whereas low-level tools enable contractive scope, high-level tools enable expansion. We review empirical results that support these assertions and highlight the novel insights that a regulatory-scope framework provides for understanding diverse phenomena.

The Effect of Temporal Frames in Anti-Smoking Messages on the Extension of Anti-Smoking Arguments to Smokers

The present study focused on how exposure to different health message characteristics can affect extension-i.e., the sharing of arguments that were not targeted by the messages but are consistent with the message theme. In the context of anti-smoking campaigns, many messages have either emphasized reasons to quit smoking (why-quit) or ways to quit smoking (how-to-quit). Therefore, guided by construal level theory, the study aimed to examine whether the message characteristic of temporal frames can increase or decrease extension when incorporated into why-quit and how-to-quit anti-smoking messages. Results from a randomized experiment showed that exposure to why-quit messages with distant temporal frames increased extension (vs. no-message control) while why-quit messages with proximal temporal frames did not. Findings further illustrated a potential mechanism, where why-quit messages with proximal frames significantly reduced extension compared to why-quit messages with no temporal frames. Temporal frames did not have a significant effect on extension for how-to-quit messages. Results indicate that emphasizing the present in anti-smoking messages could be detrimental for the extension of why-quit arguments. Implications for applying construal level theory to health message effects research are also discussed.

Social Media Usage During Disasters: Exploring the Impact of Location and Distance on Online Engagement

Social media play an important role in emergency management. The location of citizens and distance from a disaster influence the social media usage patterns. Using the Tianjin Port Explosion, we apply the correlation analysis and regression analysis to explore the relationship between online engagement and location. Citizens' online engagement is estimated by social media. Three dimensions of the psychological distance - spatial, temporal, and social distances - are applied to measure the effects of location and distance. Online engagement is negatively correlated to such 3 kinds of the distance, which indicates that citizens may pay less attention to a disaster that happens at a far away location and at an area of less interaction or at a relatively long period of time. Furthermore, a linear model is proposed to measure the psychological distance. The quantification relationship between online engagement and psychological distance is discussed. The result enhances our understanding of social media usage patterns related to location and distance. The study gives a new insight on situation awareness, decision-making during disasters.

Above and beyond the concrete: The diverse representational substrates of the predictive brain

In recent years, scientists have increasingly taken to investigate the predictive nature of cognition. We argue that prediction relies on abstraction, and thus theories of predictive cognition need an explicit theory of abstract representation. We propose such a theory of the abstract representational capacities that allow humans to transcend the "here-and-now." Consistent with the predictive cognition literature, we suggest that the representational substrates of the mind are built as a hierarchy, ranging from the concrete to the abstract; however, we argue that there are qualitative differences between elements along this hierarchy, generating meaningful, often unacknowledged, diversity. Echoing views from philosophy, we suggest that the representational hierarchy can be parsed into: modality-specific representations, instantiated on perceptual similarity; multimodal representations, instantiated primarily on the discovery of spatiotemporal contiguity; and categorical representations, instantiated primarily on social interaction. These elements serve as the building blocks of complex structures discussed in cognitive psychology (e.g., episodes, scripts) and are the inputs for mental representations that behave like functions, typically discussed in linguistics (i.e., predicators). We support our argument for representational diversity by explaining how the elements in our ontology are all required to account for humans' predictive cognition (e.g., in subserving logic-based prediction; in optimizing the trade-off between accurate and detailed predictions) and by examining how the neuroscientific evidence coheres with our account. In doing so, we provide a testable model of the neural bases of conceptual cognition and highlight several important implications to research on self-projection, reinforcement learning, and predictive-processing models of psychopathology.

Measuring Abstract Mind-Sets Through Syntax: Automating the Linguistic Category Model

Abstraction in language has critical implications for memory, judgment, and learning and can provide an important window into a person’s cognitive abstraction level. The linguistic category model (LCM) provides one well-validated, human-coded approach to quantifying linguistic abstraction. In this article, we leverage the LCM to construct the Syntax-LCM, a computer-automated method which quantifies syntax use that indicates abstraction levels. We test the Syntax-LCM’s accuracy for approximating hand-coded LCM scores and validate that it differentiates between text intended for a distal or proximal message recipient (previously linked with shifts in abstraction). We also consider existing automated methods for quantifying linguistic abstraction and find that the Syntax-LCM most consistently approximates LCM scores across contexts. We discuss practical and theoretical implications of these findings.

A Tale of Two Stories: An Exploration of Identification, Message Recall, and Narrative Preferences Among Low-Income, Mexican American Women

Additional research is needed to guide the design of narratives for use in practice-oriented, naturalistic settings to maximize health behavior change, particularly among populations affected by health disparities. This mixed-methods study explored the influence of cultural tailoring and emotional arousal on identification and message recall in narratives promoting childhood obesity prevention among 40 Mexican American mothers. Participants were also asked about narrative exposure, narrative preferences, and beliefs about the purpose of a story. Participants were randomly assigned to listen to two stories: (a) a story tailored on noncultural or cultural variables, and (b) a story designed to enhance or minimize emotional arousal. Participants reported high engagement and identification with all stories. Participants generally envisioned protagonists as Latina, despite limited cues, and identified with protagonists in four ways: sharing personal characteristics; having similar thoughts and feelings; engaging in similar actions; and experiencing similar situations. Mothers were most interested in narratives that helped them to improve their lives. Findings from this study yield several hypotheses for consideration in future study, including ways in which story setting and message enactment may moderate message recall.

A Hands-On Guide to Conducting Psychological Research on Twitter

The rising popularity of social media has created valuable opportunities for researchers to quickly and cheaply tap large amounts of data on naturalistic social interactions. One of the most useful and accessible sources of social media data is Twitter. Although Twitter data are free to access, however, the programming tools required to collect and analyze these data are likely to create a barrier for many psychologists. The goal of this article is to reduce that barrier by explaining what data are available from Twitter and providing code and step-by-step instructions to retrieve them. I also review approaches to deriving psychological insight from these data, the accompanying challenges, and potential solutions, providing code to make these tasks easier. Particularly for researchers without access to large participant pools, overseas collaborators, or online panels, Twitter can be an important source of psychological insight.

Construal Level Theory in Organizational Research

Construal level theory (CLT) offers a rich and rigorous conceptual model of how the context shapes mental representations and subsequent outcomes. The theory has generated new understanding of cognitions and behaviors such as prediction, evaluation, and decision making in the fields of psychology and consumer behavior. Recently, management and organizational scholars have begun to leverage CLT to derive novel insights regarding organizational phenomena. This article describes CLT and its theoretical underpinnings, provides a focused and integrated review of organizational research incorporating CLT, and offers an agenda for future work in which CLT opens the door to new avenues of inquiry in organizational research and reinvigorates scholarly interest in cognition in organizations.