Proposing the DN(C)-model of material evidence for well-calibrated claims about past cultures.

Stibbard-Hawkes presents a much-needed case for distinguishing between different types of evidence for cognition in past cultures. However, he does not outline an applicable approach for moving forward in making claims about the cognition of past cultures. We present an initial model for calibrating both absolute and comparative claims about past cultures' cognition and other traits.

Measuring four facets of emotion beliefs in Germany: A German-language adaptation of the EBQ and its comparability across gender and different emotion abilities.

Adaptive emotion regulation, involving the modulation of positive and negative emotions based on goals, is a crucial function for a person's mental health and general well-being. Factors influencing successful emotion regulation include beliefs about emotions, such as the controllability and usefulness of emotions. The Emotion Beliefs Questionnaire (EBQ) was developed to assess these beliefs and has shown promise in predicting emotion regulation and psychopathology across different countries.

Uncertainty reduction as an alternative explanation of historical myths.

We agree with Sijilmassi et al. that historical myths are a tool for coalition recruitment. We argue, however, that a close fit between an evolved entity and an identified function does not imply that the latter is the critical evolutionary trigger.

Incentivizing news consumption on social media platforms using large language models and realistic bot accounts.

Polarization, misinformation, declining trust, and wavering support for democratic norms are pressing threats to the US Exposure to verified and balanced news may make citizens more resilient to these threats. This project examines how to enhance users' exposure to and engagement with verified and ideologically balanced news in an ecologically valid setting. We rely on a 2-week long field experiment on 28,457 Twitter users.

Ideological self-selection in online news exposure: Evidence from Europe and the US.

Today's high-choice digital media environments allow citizens to completely refrain from online news exposure and, if they do use news, to select sources that align with their ideological preferences. Yet due to measurement problems and cross-country differences, recent research has been inconclusive regarding the prevalence of ideological self-selection into like-minded online news. We introduce a multi-method design combining the web-browsing histories and survey responses of more than 7000 participants from six major democracies with supervised text classification to separate political from nonpolitical news exposure.

Dynamic predictability and activity-location contexts in human mobility.

Human travelling behaviours are markedly regular, to a large extent predictable, and mostly driven by biological necessities and social constructs. Not surprisingly, such predictability is influenced by an array of factors ranging in scale from individual preferences and choices, through social groups and households, all the way to the global scale, such as mobility restrictions in response to external shocks such as pandemics. In this work, we explore how temporal, activity and location variations in individual-level mobility-referred to as -carry a large degree of information regarding the nature of mobility regularities at the population level.

A framework for promoting online prosocial behavior via digital interventions.

Digital interventions for prosocial behavior are increasingly being studied by psychologists. However, academic findings remain largely underutilized by practitioners. We present a practical review and framework for distinguishing three categories of digital interventions--proactive, interactive, and reactive--based on the timing of their implementation.

Trust in government moderates the association between fear of COVID-19 as well as empathic concern and preventive behaviour.

With the COVID-19 pandemic, behavioural scientists aimed to illuminate reasons why people comply with (or not) large-scale cooperative activities. Here we investigated the motives that underlie support for COVID-19 preventive behaviours in a sample of 12,758 individuals from 34 countries. We hypothesized that the associations of empathic prosocial concern and fear of disease with support towards preventive COVID-19 behaviours would be moderated by trust in the government.

Basic human values and the adoption of cryptocurrency.

Cryptocurrency is an attempt to create an alternative to centralized financial systems using blockchain technology. However, our understanding of the psychological mechanisms that drive cryptocurrency adoption is limited. This study examines the role of basic human values in three stages of cryptocurrency adoption-awareness, intention to buy, and ownership-using the Theory of Planned Behavior (TPB).

Triplétoile: Extraction of knowledge from microblogging text.

Numerous methods and pipelines have recently emerged for the automatic extraction of knowledge graphs from documents such as scientific publications and patents. However, adapting these methods to incorporate alternative text sources like micro-blogging posts and news has proven challenging as they struggle to model open-domain entities and relations, typically found in these sources. In this paper, we propose an enhanced information extraction pipeline tailored to the extraction of a knowledge graph comprising open-domain entities from micro-blogging posts on social media platforms.

Introducing the Democratic Electoral Systems data, 1919-1945.

This data note introduces an update to the widely-used Democratic Electoral Systems (DES) data that encompasses the period from 1919 to 1945. The data include 243 legislative lower house and presidential elections in 34 interwar democracies. Information on these elections falls into four categories: first and foremost, DES contains variables that capture the institutional rules that define how elections are organized.

Strength of statistical evidence for the efficacy of cancer drugs: a Bayesian reanalysis of randomized trials supporting Food and Drug Administration approval.

Objectives: To quantify the strength of statistical evidence of randomized controlled trials (RCTs) for novel cancer drugs approved by the Food and Drug Administration in the last 2 decades.

Study Design And Setting: We used data on overall survival (OS), progression-free survival, and tumor response for novel cancer drugs approved for the first time by the Food and Drug Administration between January 2000 and December 2020. We assessed strength of statistical evidence by calculating Bayes factors (BFs) for all available endpoints, and we pooled evidence using Bayesian fixed-effect meta-analysis for indications approved based on 2 RCTs.

A dataset on survey designs and quality of social and behavioral science surveys during the COVID-19 pandemic.

In the social and behavioral sciences, surveys are frequently used to collect data. During the COVID-19 pandemic, surveys provided political actors and public health professionals with timely insights on the attitudes and behaviors of the general population. These insights were key in guiding actions to fight the pandemic.

Assessing Social, Emotional, and Behavioral Skills in Just a Few Minutes: 96-, 45-, and 20-Item Short Forms of the BESSI.

Social, emotional, and behavioral (SEB) skills matter for individuals' well-being and success. The behavioral, emotional, and social skills inventory (BESSI) uses 192 items to assess 32 specific SEB skills across five broad skill domains. This research developed three short forms of the BESSI-192 and explored their measurement properties, predictive validity, and cross-cultural comparability.

Representativeness and face-ism: Gender bias in image search.

Implicit and explicit gender biases in media representations of individuals have long existed. Women are less likely to be represented in gender-neutral media content (representation bias), and their face-to-body ratio in images is often lower (face-ism bias). In this article, we look at representativeness and face-ism in search engine image results.

Toward a causal model of curiosity and creativity.

We extend Ivancovsky et al.'s finding on the association between curiosity and creativity by proposing a sequential causal model assuming that (a) curiosity determines the motivation to seek information and that (b) creativity constitutes a capacity to act on that motivation. This framework assumes that both high levels of curiosity and creativity are necessary for information-seeking behavior.

Novelty in News Search: A Longitudinal Study of the 2020 US Elections.

The 2020 US elections news coverage was extensive, with new pieces of information generated rapidly. This evolving scenario presented an opportunity to study the performance of search engines in a context in which they had to quickly process information as it was published. We analyze novelty, a measurement of new items that emerge in the top news search results, to compare the coverage and visibility of different topics.

Strategic thinking in the shadow of self-enhancement: Benefits and costs.

Using a variant of the hide-and-seek game, we show in three studies that self-enhancement can help or hinder strategic thinking. In this guessing game, one player chooses a number while another player tries to guess it. Each player does this either in a random fashion (throwing a mental die) or by active thinking.

Protocol for a web survey experiment studying the feasibility of asking respondents to capture and submit photos of the books they have at home and the resulting data quality.

This document presents the protocol of a study conducted as a part of the WEB DATA OPP project, which is funded by the H2020 program. The study aimed to investigate different aspects of the collection of images through web surveys. To do this, we implemented a mobile web survey in an opt-in online panel in Spain.

Scaling up search engine audits: Practical insights for algorithm auditing.

Algorithm audits have increased in recent years due to a growing need to independently assess the performance of automatically curated services that process, filter and rank the large and dynamic amount of information available on the Internet. Among several methodologies to perform such audits, virtual agents stand out because they offer the ability to perform systematic experiments, simulating human behaviour without the associated costs of recruiting participants. Motivated by the importance of research transparency and replicability of results, this article focuses on the challenges of such an approach.

Using Machine Translation and Post-Editing in the TRAPD Approach: Effects on the Quality of Translated Survey Texts.

A highly controlled experimental setting using a sample of questions from the European Social Survey (ESS) and European Values Study (EVS) was used to test the effects of integrating machine translation and post-editing into the Translation, Review, Adjudication, Pretesting, and Documentation (TRAPD) approach in survey translation. Four experiments were conducted in total, two concerning the language pair English-German and two in the language pair English-Russian. The overall results of this study are positive for integrating machine translation and post-editing into the TRAPD process, when translating survey questionnaires.

Partnership Dynamics of LGB People and Heterosexuals: Patterns of First Partnership Formation and First Cohabitation.

In this study we examine partnership dynamics among people with different sexual orientations in Germany. More specifically, we explore the process of first partnership formation and first cohabitation among men and women who self-identify as heterosexual, homosexual or bisexual. Given the various discriminations against same-sex lifestyles, and the limited opportunities to meet potential partners, we assume that lesbian, gay and bisexual (LGB) people form partnerships later in life and less frequently than heterosexuals.

Police discrimination and police distrust among ethnic minority adolescents in Germany.

In light of ongoing debates about racially motivated police violence, this paper examines two separate but interrelated phenomena: instances of police discrimination and mistrust in police and the judicial system among ethnic minorities in Germany. Analyses are carried out based on waves 1, 3, and 5 of the CILS4EU-DE data collected among 14 to 20 year-old respondents in Germany. The focus of the paper lies on young men from the Middle East, as well as Northern and Sub-Saharan Africa, who-as our study demonstrates-tend to disproportionally more often report discrimination experiences and particularly low levels of trust in police and courts compared to other ethnic minorities and the majority populations in Germany, and partially also in comparison to their female counterparts.