Shame and the virtual gaze: Supporting children's encounters in online worlds

As the virtual gaze of another becomes an increasingly prevalent feature in children's lives, this paper aims to explore some of the emotional complexities of the emerging physical/virtual landscape of children's experience. Based on an analysis of the emotion of shame, the paper explores the new challenges that children face both now and in the future in their virtual encounters and relations with others. It is argued that virtual spaces bring new dimensions to emotional experience, at times making it more difficult to realise the productive potential of shame. This is because the gaze or imagined gaze of another, as invoked through the experience of shame, occurs in conditions of uncertainty, has no boundaries and may arise at any time in the future. These insights are significant if we are to support children in building a capacity to restore the self and be resilient in these new spaces of social encounter.     

The effects of self‐explaining when learning with text or diagrams

Self‐explaining is an effective metacognitive strategy that can help learners develop deeper understanding of the material they study. This experiment explored if the format of material (i.e., text or diagrams) influences the self‐explanation effect. Twenty subjects were presented with information about the human circulatory system and prompted to self‐explain; 10 received this information in text and 10 in diagrams. Results showed that students given diagrams performed significantly better on post‐tests than students given text. Diagrams students also generated significantly more self‐explanations that text students. Furthermore, the benefits of self‐explaining were much greater in the diagrams condition. To discover why diagrams can promote the self‐explanation effect, results are interpreted with reference to the multiple differences in the semantic, cognitive and affective properties of the texts and diagrams studied.     

Does Analytic Thinking Insulate Against Pro-Kremlin Disinformation? Evidence From Ukraine

Pro-Kremlin disinformation campaigns have long targeted Ukraine. We investigate susceptibility to this pro-Kremlin disinformation from a cognitive-science perspective. Is greater analytic thinking associated with less belief in disinformation, as per classical theories of reasoning? Or does analytic thinking amplify motivated system 2 reasoning (or “cultural cognition”), such that analytic thinking is associated with more polarized beliefs (and thus more belief in pro-Kremlin disinformation among pro-Russia Ukrainians)? In online (N = 1,974) and face-to-face representative (N = 9,474) samples of Ukrainians, we find support for the classical reasoning account. Analytic thinking, as measured using the Cognitive Reflection Test, was associated with greater ability to discern truth from disinformation—even for Ukrainians who are strongly oriented towards Russia. We find similar, albeit weaker, results when operationalizing analytic thinking using the self-report Actively Open-Minded Thinking scale. These results demonstrate a similar pattern to prior work using American participants. Thus, the positive association between analytic thinking and the ability to discern truth versus falsehood generalizes to the qualitatively different information environment of postcommunist Ukraine. Despite low trust in government and media, weak journalistic standards, and years of exposure to Russian disinformation, Ukrainians who engage in more analytic thinking are better able to tell truth from falsehood.     

Job seekers' attitudes toward cybervetting in China: Platform comparisons and relationships with social media posting habits and individual differences

Cybervetting, or reviewing applicants' social media profiles, has become a central part of the hiring process for many organizations. Yet, extant cybervetting research is largely limited to Western platforms and samples. The present study examines the three core elements of attitudes toward cybervetting (ATC—perceived justice, privacy invasion, and face validity) using a sample of 200 Chinese job seekers providing their views on three popular platforms in China (WeChat, QQ, and Weibo). Attitudes were negative across all platforms, although slightly more positive for WeChat. ATC were associated with job seekers' social media posting habits (e.g., posting positive content more frequently) and individual differences (i.e., gender and extraversion). Organizations should be mindful that cybervetting might impede the recruitment of talents.     

Inoculation against conspiracy theories: A consumer side approach to India's fake news problem

We attempt to replicate Roozenbeek and van der Linden's Western-based study in India by employing the Bad News Game, an online game, in which players take on the role of a misinformation tycoon. They are exposed to weakened doses of the strategies employed in conspiracy and fake news production with the aim to cognitively inoculate them against misinformation. The proliferation of inexpensive mobile connections coupled with a lack of digital literacy has resulted in a conspiratorial pandemic in developing countries like India. We test the game's impact on an Indian sample (n = 1002) using a within-subject design. We provide evidence of significant improvement in the ability of participants to identify the misinformation produced using Conspiracy, Impersonation, and to a lesser extent, the Discrediting technique, while observing greater truth discernment in correctly identifying true news. We also conduct sub-sample analyses. These findings have positive implications for methods that protect users from malignant online content.     

Stop the blame game: An analysis of blaming on Weibo during the early days of the COVID-19 pandemic in rice and wheat areas in China

In the pandemic era, social media has provided the public with a platform to make their voice heard. One of the most important public opinions online during a pandemic is blame. Blame can lead to stigma towards patients as well as potential patients and decrease social cooperation, which might impede prevention and control measures during epidemics. Thus, studying online blame during the early days of COVID-19 can facilitate the management and control of future pandemics. By analyzing 3791 posts from one of the most popular social media sites in China (Weibo) over the 10 days immediately after COVID-19 was declared to be a communicable disease, we found that there were four main agents blamed online: Individuals, corporations, institutions, and the media. Most of the blame targeted individual agents. We also found that there were regional-cultural differences in the detailed types of blamed individual agents, that is, between rice- and wheat-farming areas in China. After controlling influence of distance from the epicenter of Wuhan, there were still stable differences between regions: people in wheat areas had a higher probability of blaming agentic, harmful individuals, and people in rice areas had a higher probability of blaming individuals with low awareness of social norms for preventive health behavior. Findings have implications for preventing and predicting blame across cultures in future pandemics.     

FIXED-INTERVAL PERFORMANCE AND SELF-CONTROL IN INFANTS

Twenty-six infants, 3 to 23 months old, were trained on fixed-interval schedules ranging from 10 s to 80 s. The operant response was touching an illuminated location on a touch-sensitive screen, and 20 s of cartoon presentation was the reinforcer. The subjects were also trained in a six-phase self-control procedure in which the critical phases involved choice between 20 s of cartoon available after a 0.5-s delay (impulsive choice) and 40 s of cartoon delayed for 40 s (self-controlled choice). All the youngest children (3 to 5 months) showed long postreinforcement pauses on the fixed-interval schedule, with most intervals involving the emission of a single, reinforced, response, and all made self-controlled choices. Older subjects (9 to 23 months) either produced the same pattern as the younger ones on the fixed-interval schedule (classified as pause-sensitive subjects) or produced short pauses and higher steady response rates (classified as pause-insensitive subjects). All pause-sensitive subjects made self-controlled choices in the self-control condition, and all pause-insensitive subjects made impulsive ones.     

计算机控制心理学实验过程的计时误差分析

计算机在控制心理学实验过程中,可能引入各种潜在的计时误差,特别在短时呈现各种实验刺激时,有些误差是不应忽略的。本文重点分析屏幕刷新率对实验设计的限制及可能产生的计时误差和解决方法。     

The effects of instructions, incentive, and feedback on a community problem: dormitory noise

A reinforcement system utilizing instructions, modelling, feedback, and group reinforcement was employed in an attempt to reduce disruptive noise on three university residence halls. A fourth hall received the same treatment program without the reinforcement component. Noise scores were determined by recording the number of discrete noise occurrences over a criterion decibel level. On all four residential floors, noise scores during treatment conditions were lower than initial and final baseline levels. Additionally, periods of noise reduction corresponded to the changing criterion multiple-baseline and reversal designs utilized. Pre- and posttreatment questionnaire responses from the three reinforcement floors paralleled changes in objective noise data. At posttreatment, residents reported less noise disturbance of study and sleep and more control over the noise situation and floor problems in general. These results indicated that a comprehensive behavior-modification treatment package was effective in reducing disruptive noise in university residence halls. Difficulties in data collection and anomalies in the data are discussed. Future directions for field-based behavior-modification research are outlined.