A scientific theory of gist communication and misinformation resistance, with implications for health, education, and policy.

A framework is presented for understanding how misinformation shapes decision-making, which has cognitive representations of gist at its core. I discuss how the framework goes beyond prior work, and how it can be implemented so that valid scientific messages are more likely to be effective, remembered, and shared through social media, while misinformation is resisted. The distinction between mental representations of the rote facts of a message-its verbatim representation-and its gist explains several paradoxes, including the frequent disconnect between knowing facts and, yet, making decisions that seem contrary to those facts. Decision makers can falsely remember the gist as seen or heard even when they remember verbatim facts. Indeed, misinformation can be more compelling than information when it provides an interpretation of reality that makes better sense than the facts. Consequently, for many issues, scientific information and misinformation are in a battle for the gist. A fuzzy-processing preference for simple gist explains expectations for antibiotics, the spread of misinformation about vaccination, and responses to messages about global warming, nuclear proliferation, and natural disasters. The gist, which reflects knowledge and experience, induces emotions and brings to mind social values. However, changing mental representations is not sufficient by itself; gist representations must be connected to values. The policy choice is not simply between constraining behavior or persuasion-there is another option. Science communication needs to shift from an emphasis on disseminating rote facts to achieving insight, retaining its integrity but without shying away from emotions and values.

The power of meaningful numbers: Attorney guidance and jury deliberation improve the reliability and gist validity of damage awards.

OBJECTIVE: A mock jury experiment tested the effects of attorney guidance and jury deliberation to mitigate the challenges that civil juries face in assessing damages. HYPOTHESES: We hypothesized that two types of attorney guidance (per diem, per diem + lump sum), theoretically based in the Hans-Reyna model of jury decision making, would improve jury decision making compared with no guidance against five key benchmarks: injury assessment, validity, reliability, verbatim-gist coherence, and metacognitive experience. We expected that deliberation would increase reliability of, confidence in, and polarization of awards compared with predeliberation. METHOD: Community members (N = 317; 61% women; 86.1% White; Mage = 48.68 years) deliberated in 54 mock juries. Participants watched a videotaped trial involving an automobile accident in which two plaintiffs sustained concussions (one mild and one severe). The plaintiffs' attorney's closing arguments varied attorney guidance (no guidance, per diem, per diem + lump sum). Mock jurors provided individual judgments before deliberating as a jury and reaching group verdicts and awards. RESULTS: Juries performed well against benchmarks. Providing gist-based guidance with a meaningful award recommendation increased the validity of jurors' individual damage awards (η²p jurors = .03) and the reliability of jury damage awards (η²p jurors = .04; η²p jurors = .20); gist-based guidance without an award recommendation did not improve performance against benchmarks and increased perceptions of decision-making difficulty (η²p = .13). Deliberation increased reliability of (η²p = .17), confidence in (η²p = .02), and polarization of (d = 2.14) awards compared with predeliberation. CONCLUSION: Juries performed well against objective benchmarks of performance (injury assessment, validity, reliability, and verbatim-gist coherence), and deliberation improved performance compared with predeliberation decisions. Jury decisions were further influenced by attorney closing arguments (the guidance manipulation), especially when the attorney requests a lump sum, which can serve as a powerful influence on jury awards, mainly by setting an upper limit. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Critical tests of fuzzy trace theory in brain and behavior: uncertainty across time, probability, and development.

Uncertainty permeates decisions from the trivial to the profound. Integrating brain and behavioral evidence, we discuss how probabilistic (varied outcomes) and temporal (delayed outcomes) uncertainty differ across age and individuals; how critical tests adjudicate between theories of uncertainty (prospect theory and fuzzy-trace theory); and how these mechanisms might be represented in the brain. The same categorical gist representations of gains and losses account for choices and eye-tracking data in both value-allocation (add money to gambles) and risky-choice tasks, disconfirming prospect theory and confirming predictions of fuzzy-trace theory. The analysis is extended to delay discounting and disambiguated choices, explaining hidden-zero effects that similarly turn on categorical distinctions between some gain and no gain, certain gain and uncertain gain, gain and loss, and now and later. Bold activation implicates dorsolateral prefrontal and posterior parietal cortices in gist strategies that are not just one tool in a grab-bag of cognitive options but rather are general strategies that systematically predict behaviors across many different tasks involving probabilistic and temporal uncertainty. High valuation (e.g., ventral striatum; ventromedial prefrontal cortex) and low executive control (e.g., lateral prefrontal cortex) contribute to risky and impatient choices, especially in youth. However, valuation in ventral striatum supports reward-maximizing and gist strategies in adulthood. Indeed, processing becomes less "rational" in the sense of maximizing gains and more noncompensatory (eye movements indicate fewer tradeoffs) as development progresses from adolescence to adulthood, as predicted. Implications for theoretically predicted "public-health paradoxes" are discussed, including gist versus verbatim thinking in drug experimentation and addiction.

Individual differences in numerical representations of risk in health decision making: A fuzzy-trace theory approach.

Fuzzy-trace theory predicts that decisionmakers process numerical information about risk at multiple levels in parallel: the simplest level, nominal (categorical some-none) gist, and at more fine-grained levels, involving relative comparison (ordinal less-more gist) and exact quantities (verbatim representations). However, little is known about how individual differences in these numerical representations relate to judgments and decisions, especially involving health tradeoffs and relative risks. To investigate these differences, we administered measures of categorical and ordinal gist representations of number, objective numeracy, and intelligence in two studies (Ns = 978 and 956). In both studies, categorical and ordinal gist representations of number predicted risk judgments and decisions beyond objective numeracy and intelligence. Participants with higher scores in categorical gist were more likely to choose options to avoid cancer recurrence risks; those who were higher in ordinal gist of numbers were more likely to discriminate relative risk of skin cancer; and those with higher scores in objective numeracy were more likely to choose options that were numerically superior overall in terms of relative risk of skin cancer and of genetic risks of breast cancer (e.g., lower numerical probability of cancer). Results support parallel-processing models that assume multiple representations of numerical information about risk, which vary in precision, and illustrate how individual differences in numerical representations are relevant to tradeoffs and risk comparisons in health decisions. These representations cannot be reduced to one another and explain psychological variations in risk processing that go beyond low versus high levels of objective numeracy.

Understanding the landscape of web-based medical misinformation about vaccination.

Given the high rates of vaccine hesitancy, web-based medical misinformation about vaccination is a serious issue. We sought to understand the nature of Google searches leading to medical misinformation about vaccination, and guided by fuzzy-trace theory, the characteristics of misinformation pages related to comprehension, inference-making, and medical decision-making. We collected data from web pages presenting vaccination information. We assessed whether web pages presented medical misinformation, had an overarching gist, used narrative, and employed emotional appeals. We used Search Engine Optimization tools to determine the number of backlinks from other web pages, monthly Google traffic, and Google Keywords. We used Coh-Metrix to measure readability and Gist Inference Scores (GIS). For medical misinformation web pages, Google traffic and backlinks were heavily skewed with means of 138.8 visitors/month and 805 backlinks per page. Medical misinformation pages were significantly more likely than other vaccine pages to have backlinks from other pages, and significantly less likely to receive at least one visitor from Google searches per month. The top Google searches leading to medical misinformation were "the truth about vaccinations," "dangers of vaccination," and "pro con vaccines." Most frequently, pages challenged vaccine safety, with 32.7% having an overarching gist, 7.7% presenting narratives, and 17.3% making emotional appeals. Emotional appeals were significantly more common with medical misinformation than other high-traffic vaccination pages. Misinformation pages had a mean readability grade level of 11.5, and a mean GIS of - 0.234. Low GIS scores are a likely barrier to understanding gist, and are the "Achilles' heel" of misinformation pages.

Abstraction: An alternative neurocognitive account of recognition, prediction, and decision making.

Gilead et al. offer a thoughtful and much-needed treatment of abstraction. However, it fails to build on an extensive literature on abstraction, representational diversity, neurocognition, and psychopathology that provides important constraints and alternative evidence-based conceptions. We draw on conceptions in software engineering, socio-technical systems engineering, and a neurocognitive theory with abstract representations of gist at its core, fuzzy-trace theory.

To illuminate and motivate: A fuzzy-trace model of the spread of information online.

We propose, and test, a model of online media platform users' decisions to act on, and share, received information. Specifically, we focus on how mental representations of message content drive its spread. Our model is based on Fuzzy-Trace Theory (FTT), a leading theory of decision under risk. Per FTT, online content is mentally represented in two ways: verbatim (objective, but decontextualized, facts), and gist (subjective, but meaningful, interpretation). Although encoded in parallel, gist tends to drive behaviors more strongly than verbatim representations for most individuals. Our model uses factors derived from FTT to make predictions regarding which content is more likely to be shared, namely: a) different levels of mental representation, b) the motivational content of a message, c) difficulty of information processing (e.g., the ease with which a given message may be comprehended and, therefore, its gist extracted), and d) social values.

A theoretically motivated method for automatically evaluating texts for gist inferences.

We developed a method to automatically assess texts for features that help readers produce gist inferences. Following fuzzy-trace theory, we used a procedure in which participants recalled events under gist or verbatim instructions. Applying Coh-Metrix, we analyzed written responses in order to create gist inference scores (GISs), or seven variables converted to Z scores and averaged, which assess the potential for readers to form gist inferences from observable text characteristics. Coh-Metrix measures reflect referential cohesion and deep cohesion, which increase GIS because they facilitate coherent mental representations. Conversely, word concreteness, hypernymy for nouns and verbs (specificity), and imageability decrease GIS, because they promote verbatim representations. Also, the difference between abstract verb overlap among sentences (using latent semantic analysis) and more concrete verb overlap (using WordNet) should enhance coherent gist inferences, rather than verbatim memory for specific verbs. In the first study, gist condition responses scored nearly two standard deviations higher on GIS than did the verbatim condition responses. Predictions based on GIS were confirmed in two text analysis studies of 50 scientific journal article texts and 50 news articles and editorials. Texts from the Discussion sections of psychology journal articles scored significantly higher on GIS than did texts from the Method sections of the same journal articles. News reports also scored significantly lower than editorials on the same topics from the same news outlets. GIS proved better at discriminating among texts than did alternative formulae. In a behavioral experiment with closely matched text pairs, people randomly assigned to high-GIS versions scored significantly higher on knowledge and comprehension.

From meaning to money: Translating injury into dollars.

Legal systems often require the translation of qualitative assessments into quantitative judgments, yet the qualitative-to-quantitative conversion is a challenging, understudied process. We conducted an experimental test of predictions from a new theory of juror damage award decision making, examining how 154 lay people engaged in the translation process in recommending money damages for pain and suffering in a personal injury tort case. The experiment varied the presence, size, and meaningfulness of an anchor number to determine how these factors influenced monetary award judgments, perceived difficulty, and subjective meaningfulness of awards. As predicted, variability in awards was high, with awards participants considered to be "medium" (rather than "low" or "high") having the most dispersion. The gist of awards as low, medium, or high fully mediated the relationship between perceived pain/suffering and award amount. Moreover, controlling for participants' perceptions of plaintiffs and defendants, as well as their desire to punish and to take economic losses into account, meaningful anchors predicted unique variance in award judgments: A meaningful large anchor number drove awards up and a meaningful small anchor drove them down, whereas meaningless large and small anchors did not differ significantly. Numeracy did not predict award magnitudes or variability, but surprisingly, more numerate participants reported that it was more difficult to pick an exact figure to compensate the plaintiff for pain and suffering. The results support predictions of the theory about qualitative gist and meaningful anchors, and suggest that we can assist jurors to arrive at damage awards by providing meaningful numbers. (PsycINFO Database Record

Limitations on the Ability to Negotiate Justice: Attorney Perspectives on Guilt, Innocence, and Legal Advice in the Current Plea System.

In the American criminal justice system the vast majority of criminal convictions occur as the result of guilty pleas, often made as a result of plea bargains, rather than jury trials. The incentives offered in exchange for guilty pleas mean that both innocent and guilty defendants plead guilty. We investigate the role of attorneys in this context, through interviews with criminal defense attorneys. We examine defense attorney perspectives on the extent to which innocent defendants are (and should be) pleading guilty in the current legal framework and their views of their own role in this complex system. We also use a hypothetical case to probe the ways in which defense attorneys consider guilt or innocence when providing advice on pleas. Results indicate that attorney advice is influenced by guilt or innocence, but also that attorneys are limited in the extent to which they can negotiate justice for their clients in a system in which uncertainty and large discrepancies between outcomes of guilty pleas and conviction at trial can make it a sensible option to plead guilty even when innocent. Results also suggest conflicting opinions over the role of the attorney in the plea-bargaining process.

Active engagement in a web-based tutorial to prevent obesity grounded in Fuzzy-Trace Theory predicts higher knowledge and gist comprehension.

We used Sharable Knowledge Objects (SKOs) to create an Intelligent Tutoring System (ITS) grounded in Fuzzy-Trace Theory to teach women about obesity prevention: GistFit, getting the gist of healthy eating and exercise. The theory predicts that reliance on gist mental representations (as opposed to verbatim) is more effective in reducing health risks and improving decision making. Technical information was translated into decision-relevant gist representations and gist principles (i.e., healthy values). The SKO was hypothesized to facilitate extracting these gist representations and principles by engaging women in dialogue, "understanding" their responses, and replying appropriately to prompt additional engagement. Participants were randomly assigned to either the obesity prevention tutorial (GistFit) or a control tutorial containing different content using the same technology. Participants were administered assessments of knowledge about nutrition and exercise, gist comprehension, gist principles, behavioral intentions and self-reported behavior. An analysis of engagement in tutorial dialogues and responses to multiple-choice questions to check understanding throughout the tutorial revealed significant correlations between these conversations and scores on subsequent knowledge tests and gist comprehension. Knowledge and comprehension measures correlated with healthier behavior and greater intentions to perform healthy behavior. Differences between GistFit and control tutorials were greater for participants who engaged more fully. Thus, results are consistent with the hypothesis that active engagement with a new gist-based ITS, rather than a passive memorization of verbatim details, was associated with an array of known psychosocial mediators of preventive health decisions, such as knowledge acquisition, and gist comprehension.

Are rash impulsive and reward sensitive traits distinguishable? A test in young adults.

Adolescents and young adults are characterized as prone to risky behavior with a wide range of traits identified as predictors of individual differences in this behavior. Here we test a crucial difference between traits that reflect rash impulsivity, the tendency to engage in risky behavior without consideration of consequences, versus reward sensitivity, the tendency to be attracted to novel and rewarding experience. To test the validity of this distinction, we examined the factorial structure of eight risk-related traits in a sample of 899 18 to 22 year-olds. We predicted that rash impulsive traits would be separable in structure from reward sensitive traits and would uniquely predict relatively maladaptive risk-taking (e.g., drug use). In addition, we predicted that reward sensitive traits would be related to both adaptive (e.g., entering competitions) and maladaptive risk behaviors. Results revealed a factorial structure that distinguished these traits, with rash impulsive and reward sensitive traits uniquely predictive of different forms of risk-taking. The results suggest that it is possible to distinguish traits that reflect these two forms of risk-taking with implications for the measurement and interpretation of risk propensities in youth.

The effectiveness of argumentation in tutorial dialogues with an Intelligent Tutoring System for genetic risk of breast cancer.

BRCA Gist is an Intelligent Tutoring System that helps women understand issues related to genetic testing and breast cancer risk. In two laboratory experiments and a field experiment with community and web-based samples, an avatar asked 120 participants to produce arguments for and against genetic testing for breast cancer risk. Two raters assessed the number of argumentation elements (claim, reason, backing, etc.) found in response to prompts soliciting arguments for and against genetic testing for breast cancer risk (IRR=.85). When asked to argue for genetic testing, 53.3 % failed to meet the minimum operational definition of making an argument, a claim supported by one or more reasons. When asked to argue against genetic testing, 59.3 % failed to do so. Of those who failed to generate arguments most simply listed disconnected reasons. However, participants who provided arguments against testing (40.7 %) performed significantly higher on a posttest of declarative knowledge. In each study we found positive correlations between the quality of arguments against genetic testing (i.e., number of argumentation elements) and genetic risk categorization scores. Although most interactions did not contain two or more argument elements, when more elements of arguments were included in the argument against genetic testing interaction, participants had greater learning outcomes. Apparently, many participants lack skills in making coherent arguments. These results suggest an association between argumentation ability (knowing how to make complex arguments) and subsequent learning. Better education in developing arguments may be necessary for people to learn from generating arguments within Intelligent Tutoring Systems and other settings.

Understanding Genetic Breast Cancer Risk: Processing Loci of the BRCA Gist Intelligent Tutoring System.

The BRCA Gist Intelligent Tutoring System helps women understand and make decisions about genetic testing for breast cancer risk. BRCA Gist is guided by Fuzzy-Trace Theory, (FTT) and built using AutoTutor Lite. It responds differently to participants depending on what they say. Seven tutorial dialogues requiring explanation and argumentation are guided by three FTT concepts: forming gist explanations in one's own words, emphasizing decision-relevant information, and deliberating the consequences of decision alternatives. Participants were randomly assigned to BRCA Gist, a control, or impoverished BRCA Gist conditions removing gist explanation dialogues, argumentation dialogues, or FTT images. All BRCA Gist conditions performed significantly better than controls on knowledge, comprehension, and risk assessment. Significant differences in knowledge, comprehension, and fine-grained dialogue analyses demonstrate the efficacy of gist explanation dialogues. FTT images significantly increased knowledge. Providing more elements in arguments against testing correlated with increased knowledge and comprehension.

The glass is half full: evidence for efficacy of alcohol-wise at one university but not the other.

This research extends the growing literature about online alcohol prevention programs for first-year college students. Two independent randomized control studies, conducted at separate universities, evaluated the short-term effectiveness of Alcohol-Wise, an online alcohol prevention program not previously studied. It was hypothesized the prevention program would increase alcohol knowledge and reduce alcohol consumption, including high-risk alcohol-related behaviors, among first-year college students. At both universities, the intervention significantly increased alcohol-related knowledge. At one university, the prevention program also significantly reduced alcohol consumption and high-risk drinking behaviors, such as playing drinking games, heavy drinking, and extreme ritualistic alcohol consumption. Implications for the use of online alcohol prevention programs and student affairs are discussed.

The Gist of Juries: Testing a Model of Damage Award Decision Making.

Despite the importance of damage awards, juries are often at sea about the amounts that should be awarded, with widely differing awards for cases that seem comparable. We tested a new model of damage award decision making by systematically varying the size, context, and meaningfulness of numerical comparisons or anchors. As a result, we were able to elicit large differences in award amounts that replicated for 2 different cases. Although even arbitrary dollar amounts (unrelated to the cases) influenced the size of award judgments, the most consistent effects of numerical anchors were achieved when the amounts were meaningful in the sense that they conveyed the gist of numbers as small or large. Consistent with the model, the ordinal gist of the severity of plaintiff's damages and defendant's liability predicted damage awards, controlling for other factors such as motivation for the award-judgment task and perceived economic damages. Contrary to traditional dual-process approaches, numeracy and cognitive style (e.g., need for cognition and cognitive reflection) were not significant predictors of these numerical judgments, but they were associated with lower levels of variability once the gist of the judgments was taken into account. Implications for theory and policy are discussed.

Multiple traces or Fuzzy Traces? Converging evidence for applications of modern cognitive theory to psychotherapy.

Neurobiologically informed integration of research on memory, emotion, and behavior change in psychotherapy is needed, which Lane at al. advance. Memory reconsolidation that incorporates new emotional experience plays an important role in therapeutic change, converging with evidence for Fuzzy Trace Theory. Applications of Fuzzy Trace Theory to Cognitive Behavioral Therapy (CBT) for youth at risk for psychosis, and to other aspects of behavior change, are discussed.

Tutorial dialogues and gist explanations of genetic breast cancer risk.

The intelligent tutoring system (ITS) BRCA Gist is a Web-based tutor developed using the Shareable Knowledge Objects (SKO) platform that uses latent semantic analysis to engage women in natural-language dialogues to teach about breast cancer risk. BRCA Gist appears to be the first ITS designed to assist patients' health decision making. Two studies provide fine-grained analyses of the verbal interactions between BRCA Gist and women responding to five questions pertaining to breast cancer and genetic risk. We examined how "gist explanations" generated by participants during natural-language dialogues related to outcomes. Using reliable rubrics, scripts of the participants' verbal interactions with BRCA Gist were rated for content and for the appropriateness of the tutor's responses. Human researchers' scores for the content covered by the participants were strongly correlated with the coverage scores generated by BRCA Gist, indicating that BRCA Gist accurately assesses the extent to which people respond appropriately. In Study 1, participants' performance during the dialogues was consistently associated with learning outcomes about breast cancer risk. Study 2 was a field study with a more diverse population. Participants with an undergraduate degree or less education who were randomly assigned to BRCA Gist scored higher on tests of knowledge than those assigned to the National Cancer Institute website or than a control group. We replicated findings that the more expected content that participants included in their gist explanations, the better they performed on outcome measures. As fuzzy-trace theory suggests, encouraging people to develop and elaborate upon gist explanations appears to improve learning, comprehension, and decision making.

How to Successfully Incorporate Undergraduate Researchers Into a Complex Research Program at a Large Institution.

One feature of the Laboratory for Rational Decision Making at Cornell University is the integration of a large number of undergraduate students into a relatively elaborate research program. We describe our thorough screening process, laboratory structure, and our expectations for undergraduate researchers in our lab. We have a structure in place that helps maintain organization and enhance productivity, including scheduled weekly and monthly meetings, and selecting undergraduate and graduate team leaders to lead each research project. We discuss how it is important to encourage students to aim high and have a good attitude toward learning and problem solving. We emphasize that both initiative and teamwork are important in a large research laboratory. We also discuss the importance of giving students responsibility in connection with research projects-our undergraduate researchers engage in data analysis, interpretation of results, and have a high-level understanding of theory.