This chapter addresses the relationship between misinformation and disagreement. We begin by arguing that one traditional bogeyman in this domain, ideological polarization, does not account for the many problems that have been documented. Instead, affective polarization seems to be the root cause of most of these problems. We then discuss the relationships between moral outrage, misinformation, and affective polarization. We next turn to the political implications of affective polarization and conclude by discussing some potential solutions to the problems that arise (...) in this area. (shrink)

Placing our trust wisely is both difficult and important. The challenge of knowing who to trust inheres at least partially in the fact that coinciding interests cannot be taken for granted, and that language, as the principal medium through which would-be interactants make their interests known, doesn’t discriminate between true and feigned proclamations of good intent. Because our patterns of trust partition the world into reliable and unreliable sources, trust is also important: it determines how we distribute our social and (...) epistemic dependencies, which in turn informs much of what we believe and do. The fact that our interactions with the world and each other are increasingly mediated by digital communication technologies affects both these elements of trust: though unabated access to the internet invites us to distribute our dependencies more broadly, the kinds of information environments that we encounter online make misplaced trust a more common occurrence. I argue that a large part of the problem, as well as one possible set of solutions, resides in a deceptively simple dictum: the internet makes talk cheap, and cheap talk can’t be trusted. (shrink)

This chapter addresses the relationship between misinformation and disagreement. We begin by arguing that one traditional bogeyman in this domain, ideological polarization, does not account for the many problems that have been documented. Instead, affective polarization seems to be the root cause of most of these problems. We then discuss the relationships between moral outrage, misinformation, and affective polarization. We next turn to the political implications of affective polarization and conclude by discussing some potential solutions to the problems that arise (...) in this area. (shrink)

Trust in vaccination is eroding, and attitudes about vaccination have become more polarized. This is an observational study of Twitter analyzing the impact that COVID-19 had on vaccine discourse. We identify the actors, the language they use, how their language changed, and what can explain this change. First, we find that authors cluster into several large, interpretable groups, and that the discourse was greatly affected by American partisan politics. Over the course of our study, both Republicans and Democrats entered the (...) vaccine conversation in large numbers, forming coalitions with Antivaxxers and public health organizations, respectively. After the pandemic was officially declared, the interactions between these groups increased. Second, we show that the moral and non-moral language used by the various communities converged in interesting and informative ways. Finally, vector autoregression analysis indicates that differential responses to public health measures are likely part of what drove this convergence. Taken together, our results suggest that polarization around vaccination discourse in the context of COVID-19 was ultimately driven by a trust-first dynamic of political engagement. (shrink)

Generative artificial intelligence systems based on transformers, including both text-generators like GPT-4 and image generators like DALL-E 3, have recently entered the popular consciousness. These tools, while impressive, are liable to reproduce, exacerbate, and reinforce extant human social biases, such as gender and racial biases. In this paper, we systematically review the extent to which DALL-E Mini suffers from this problem. In line with the Model Card published alongside DALL-E Mini by its creators, we find that the images it produces (...) tend to represent dozens of different occupations as populated either solely by men (e.g., pilot, builder, plumber) or solely by women (e.g., hairdresser, receptionist, dietitian). In addition, the images DALL-E Mini produces tend to represent most occupations as populated primarily or solely by White people (e.g., farmer, painter, prison officer, software engineer) and very few by non-White people (e.g., pastor, rapper). These findings suggest that exciting new AI technologies should be critically scrutinized and perhaps regulated before they are unleashed on society. (shrink)

In this article a simpte model of Belgian government coalition formation is proposed. lts main advantages over the traditional game theoretical approach are, first, its dynamic nature and, second, the fact that only one coalition is predicted per 'game '. As a result of the latter characteristic, the integration of this coalition formation submodel in a larger politico-economic model should be far less complicated. Moreover, statistical tests indicate that the proposed model works at least as good as the traditional theories, (...) despite its parsimonious nature. (shrink)

Protests and counter-protests seek to draw and direct attention and concern with confronting images and slogans. In recent years, as protests and counter-protests have partially migrated to the digital space, such images and slogans have also gone online. Two main ways in which these images and slogans are translated to the online space is through the use of emoji and hashtags. Despite sustained academic interest in online protests, hashtag activism and the use of emoji across social media platforms, little is (...) known about the specific functional role that emoji and hashtags play in online social movements. In an effort to fill this gap, the current paper studies both hashtags and emoji in the context of the Twitter discourse around the Black Lives Matter movement. (shrink)

Intellectual humility (IH) is often conceived as the recognition of, and appropriate response to, your own intellectual limitations. As far as we are aware, only a handful of studies look at interventions to increase IH – e.g. through journalling – and no study so far explores the extent to which having high or low IH can be predicted. This paper uses machine learning and natural language processing techniques to develop a predictive model for IH and identify top terms and features (...) that indicate degrees of IH. We trained our classifier on the dataset from an existing psychological study on IH, where participants were asked to journal their experiences with handling social conflicts over 30 days. We used Logistic Regression (LR) to train a classifier and the Linguistic Inquiry and Word Count (LIWC) dictionaries for feature selection, picking out a range of word categories relevant to interpersonal relationships. Our results show that people who differ on IH do in fact systematically express themselves in different ways, including through expression of emotions (i.e., positive, negative, and specifically anger, anxiety, sadness, as well as the use of swear words), use of pronouns (i.e., first person, second person, and third person) and time orientation (i.e., past, present, and future tenses). We discuss the importance of these findings for IH and the value of using such techniques for similar psychological studies, as well as some ethical concerns and limitations with the use of such semi-automated classifications. (shrink)

The social media platform Twitter platform has played a crucial role in the Black Lives Matter (BLM) movement. The immediate, flexible nature of tweets plays a crucial role both in spreading information about the movement’s aims and in organizing individual protests. Twitter has also played an important role in the right-wing reaction to BLM, providing a means to reframe and recontextualize activists’ claims in a more sinister light. The ability to bring about social change depends on the balance of these (...) two forces, and in particular which side can capture and maintain sustained attention. The present study examines 2 years worth of tweets about BLM (about 118 million in total). Timeseries analysis reveals that activists are better at mobilizing rapid attention, whereas right-wing accounts show a pattern of moderate but more sustained activity driven by reaction to political opponents. Topic modeling reveals differences in how different political groups talk about BLM. Most notably, the murder of George Floyd appears to have solidified a right-wing counter-framing of protests as arising from dangerous “terrorist” actors. The study thus sheds light on the complex network and rhetorical effects that drive the struggle for online attention to the BLM movement. (shrink)

Artificial intelligence (AI) systems are increasingly being used not only to classify and analyze but also to generate images and text. As recent work on the content produced by text and image Generative AIs has shown (e.g., Cheong et al., 2024, Acerbi & Stubbersfield, 2023), there is a risk that harms of representation and bias, already documented in prior AI and natural language processing (NLP) algorithms may also be present in generative models. These harms relate to protected categories such as (...) gender, race, age, and religion. There are several kinds of harms of representation to consider in this context, including stereotyping, lack of recognition, denigration, under-representation, and many others (Crawford in Soundings 41:45–55, 2009; in: Barocas et al., SIGCIS Conference, 2017). Whereas the bulk of researchers’ attention thus far has been given to stereotyping and denigration, in this study we examine ‘exnomination’, as conceived by Roland Barthes (1972), of religious groups. Our case study is DALL-E, a tool that generates images from natural language prompts. Using DALL-E mini, we generate images from generic prompts such as “religious person.” We then examine whether the generated images are recognizably members of a nominated group. Thus, we assess whether the generated images normalize some religions while neglecting others. We hypothesize that Christianity will be recognizably represented more frequently than other religious groups. Our results partially support this hypothesis but introduce further complexities, which we then explore. (shrink)

Integrated information systems are increasingly used in schools, and the advent of the technology-rich classroom requires a new degree of ongoing classroom assessment. Able to track web searches, resources used, task completion time, and a variety of other classroom behaviors, technology-rich classrooms offer a wealth of potential information about teaching and learning. This information can be used to track student progress in languages, STEM, and in 21st Century skills, for instance. However, despite these changes, there has been little change in (...) the kind of data made available to teachers, administrators, students, and parents. Measuring and Visualizing Learning in the Information-Rich Classroom collects research on the implementation of classroom assessment techniques in technology-enhanced learning environments. Building on research conducted by a multinational and multidisciplinary team of learning technology experts, and specialists from around the globe, this book addresses these discrepancies. With contributions from major researchers in education technology, testing and assessment, and education psychology, this book contributes to a holistic approach for building the information infrastructure of the 21st Century school. (shrink)

The present paper analyzes the self‐generated explanations (from talk‐aloud protocols) that “Good” and “Poor” students produce while studying worked‐out examples of mechanics problems, and their subsequent reliance on examples during problem solving. We find that “Good” students learn with understanding: They generate many explanations which refine and expand the conditions for the action parts of the example solutions, and relate these actions to principles in the text. These self‐explanations are guided by accurate monitoring of their own understanding and misunderstanding. Such (...) learning results in example‐independent knowledge and in a better understanding of the principles presented in the text. “Poor” students do not generate sufficient self‐explanations, monitor their learning inaccurately, and subsequently rely heavily on examples. We then discuss the role of self‐explanations in facilitating problem solving, as well as the adequacy of current AI models of explanation‐based learning to account for these psychological findings. (shrink)

The present paper analyzes the self‐generated explanations (from talk‐aloud protocols) that “Good” and “Poor” students produce while studying worked‐out examples of mechanics problems, and their subsequent reliance on examples during problem solving. We find that “Good” students learn with understanding: They generate many explanations which refine and expand the conditions for the action parts of the example solutions, and relate these actions to principles in the text. These self‐explanations are guided by accurate monitoring of their own understanding and misunderstanding. Such (...) learning results in example‐independent knowledge and in a better understanding of the principles presented in the text. “Poor” students do not generate sufficient self‐explanations, monitor their learning inaccurately, and subsequently rely heavily on examples. We then discuss the role of self‐explanations in facilitating problem solving, as well as the adequacy of current AI models of explanation‐based learning to account for these psychological findings. (shrink)

This article comments on the article of Thorn and Schurz in this volume and focuses on, what we call, the problem of parasitic experts. We discuss that both meta- induction and crowd wisdom can be understood as pertaining to absolute reliability rather than comparative optimality, and we suggest that the involvement of reliability will provide a handle on this problem.

Studies associating interactions of 5-HTTLPR and life adversities with depression have yielded equivocal results. Studying endophenotypes may constitute a more powerful approach. In the current study, it was assessed whether interactions of 5-HTTLPR with childhood emotional abuse (CEA) and recent negative life events (RNLE) affect possible cognitive endophenotypes of depression, namely, attention-allocation bias and the ability to recognise others' mind states in 215 young adults of North-West European descent. The ability to classify others' negative mind states was found to be (...) increased with increasing RNLE in carriers of low-expressing Serotonin Transporter Linked Polymorphic Region (5-HTTLPR) alleles. Carriers of two low-expressing alleles also preferentially oriented attention towards negative information. Gene-environment interactions were not observed for attention allocation bias. No effects involving CEA were observed. These results suggest that low-expressing 5-HTTLPR alleles may confer increased risk for depression through enhanced recognition of negative facial expressions following RNLE. (shrink)

The problem of simultaneous measurement of incompatible observables in quantum mechanics is studied on the one hand from the viewpoint of an axiomatic treatment of quantum mechanics and on the other hand starting from a theory of measurement. It is argued that it is precisely such a theory of measurement that should provide a meaning to the axiomatically introduced concepts, especially to the concept of observable. Defining an observable as a class of measurement procedures yielding a certain prescribed result for (...) the probability distribution of the set of values of some quantity (to be described by the set of eigenvalues of some Hermitian operator), this notion is extended to joint probability distributions of incompatible observables. It is shown that such an extension is possible on the basis of a theory of measurement, under the proviso that in simultaneously measuring such observables there is a disturbance of the measurement results of the one observable, caused by the presence of the measuring instrument of the other observable. This has as a consequence that the joint probability distribution cannot obey the marginal distribution laws usually imposed. This result is of great importance in exposing quantum mechanics as an axiomatized theory, since overlooking it seems to prohibit an axiomatic description of simultaneous measurement of incompatible observables by quantum mechanics. (shrink)

The ongoing COVID-19 pandemic and resulting health and economic crisis has caused major disruptions in the functioning of food systems and revived the discussion on what forms balanced, effective and responsible crisis management. As part of its thought leadership and its social responsibility in times of crisis, WUR is uniquely placed to contribute to the scientific knowledge base and data collection mechanisms required for early recognition and rapid response. In addition, WUR takes on the challenge to generate timely insights into (...) the possible scenarios for the prevention of a crisis and during and after emergencies to enable our clients and stakeholders to make informed decisions. Lastly, WUR can provide a better understanding of the mechanisms of spillover, and tangible and practical tools to help reduce the risk of spillover events from occurring, prevent pathogen spread, or mitigate the impacts of a future pandemic. In its research institutes and university, WUR brings together expertise in human, animal, plant and environmental health, the global agri-food system, economics, social sciences, food safety and security, ethics, and policy. Here, in the knowledge that COVID-19 will not be the last pandemic, we present WUR’s ambition and capabilities towards an integrated global multi-stakeholder approach to the prevention and management of potentially pandemic diseases, across the four phases of crisis management; prevention, preparedness, response, and recovery and learning. (shrink)

This book makes his work accessible to a wider audience by putting it to work in orientation towards current issues.

As the name of the new elected Pope, Francis, was pronounced from the balcony of the Saint Peter's Cathedral in Rome, there was a short silence on the square… "Francis?" Then a small and modest man appeared on the balcony and just stood there for a while. The moment I was thinking: "O my God, do something!" he said: "fratelli e sorelle, buonasera," and immediately the hearts of the many on the square and in the world opened. By this (...) gesture, Pope Francis changed the face of the Church in seconds. And in the following years he continued to change the Church, not by settling matters straight, but by gestures of the good life: he choose to drive in a small car, to live in a modest apartment among the people, he went... (shrink)

In this issue of Zygon: Journal of Religion and Science, Donald Drakeman, Peter Harrison, Douglas Ottati, Michael Ruse, and Lisa Stenmark reflect on Willem B. Drees, What Are the Humanities For? In my response to Harrison, I argue that the humanities do form a coherent domain, shaped by two fundamental orientations—the quest to understand fellow humans and self‐involvement. In response to Ruse, I defend my definition of the humanities as neither too wide nor too narrow. With Ottati, I (...) concur that institutional proximity of religious studies and theology is beneficial to both. Against Stenmark, who considers my approach typically Western, I challenge the distinction she makes. Her contribution confirms what Drakeman writes, that ambitions about “value‐free” scholarship are controversial. His own contribution makes clear that this aspiration is necessary to serve the well‐being of peoples around the world. These five responses to my book provide an opportunity to reflect on my proposal for envisaging the humanities. (shrink)

A few days before his death my husband requested me to write a few words of thanks on the publication of this collection of articles. He had already prepared the greater part of the volume for the press and had also decided on the title Science a Road to Wisdom. His original selection was somewhat more comprehensive, which is still partly reflected in the Preface. Knowing how much he wished to see this collection published, I respectfully and lovingly fulfil his (...) request, thanking Else M. Barth and J. J. A. Mooij for their extensive and expert care in putting the final touches to the volume. ADDITION TO THE TRANSLATION Finally, I wish to thank Peter G. E. Wesly for his willingness to undertake the translation of the book into English. c. P. C. BETH-PASTOOR IX PREFACE In this republication of a number of philosophical studies I have refrained from including articles of a specialized nature on symbolic logic and the methodology of the exact sciences. There was no cause to include my contributions towards the didactics of mathematics and physics, nor did I consider it appropriate to reprint pieces of a predominantly polemical nature. I decided, however, that a very modest selection from my purely historical work would not be out of place. (shrink)

In response to Willem Drees's What Are the Humanities For?, this article compares the ways in which, historically, the humanities and natural sciences have established their relevance and social legitimacy. Initially, from the period of the scientific revolution, the sciences had usually sought to justify themselves in terms of the moral and religious goals characteristic of the humanities. During the nineteenth century, however, considerations of practical utility came to displace the more traditional forms of justification. These new criteria have (...) made it increasingly difficult for humanities disciplines to establish their legitimacy. This situation is related to patterns of secularization and also has implications for science-religion relations. Along with the secularization of the humanities, their increasing pluralization has also weakened their capacity to present a united front. The humanities are perhaps not as coherent as Drees suggests, although a rhetoric of coherence might well be crucial for establishing their contemporary relevance. (shrink)

Revolutionary developments in both science and theology are moving the relation between the two far beyond the nineteenth‐century “warfare” model. Both scientists and theologians are engaged in a common search for shared understanding. Eight models of interaction are outlined: scientism, scientific imperialism, ecclesiastical authoritarianism, scientific creationism, the two‐language theory, hypothetical consonance, ethical overlap, and New Age spirituality. Developments in hypothetical consonance are explored in the work of various scholars, including Ian Barbour, Philip Clayton, Paul Davies, Willem Drees, Langdon Gilkey, (...) Philip Hefner, Nancey Murphy, Wolfhart Pannenberg, Arthur Peacocke, John Polkinghorne, Robert John Russell, Thomas Torrence and Wenzel van Huyssteen. (shrink)

It is argued that causal understanding originates in experiences of acting on objects. Such experiences have consistent features that can be used as clues to causal identification and judgment. These are singular clues, meaning that they can be detected in single instances. A catalog of 14 singular clues is proposed. The clues function as heuristics for generating causal judgments under uncertainty and are a pervasive source of bias in causal judgment. More sophisticated clues such as mechanism clues and repeated interventions (...) are derived from the 14. Research on the use of empirical information and conditional probabilities to identify causes has used scenarios in which several of the clues are present, and the use of empirical association information for causal judgment depends on the presence of singular clues. It is the singular clues and their origin that are basic to causal understanding, not multiple instance clues such as empirical association, contingency, and conditional probabilities. (shrink)