Proctor and Cho (2006) proposed that, when making binary decisions, people code the stimulus and response alternatives asymmetrically (positive and negative polarities), with performance being best when the codes of the corresponding polarities are paired. They presented evidence that polarity correspondence could explain many results associated with orthogonal compatibility, the Implicit Association Test, and numerical judgments. We review and evaluate literature on these topics and on polarity coding in the context of metaphorical relations published during the ensuing 10 years. Our conclusion is that the results have supported polarity correspondence as a contributor to binary decisions. We consider issues concerning the principle and topics in need of research.

Differential privacy protects an individual's privacy by perturbing data on an aggregated level (DP) or individual level (LDP). We report four online human-subject experiments investigating the effects of using different approaches to communicate differential privacy techniques to laypersons in a health app data collection setting. Experiments 1 and 2 investigated participants' data disclosure decisions for low-sensitive and high-sensitive personal information when given different DP or LDP descriptions. Experiments 3 and 4 uncovered reasons behind participants' data sharing decisions, and examined participants' subjective and objective comprehensions of these DP or LDP descriptions. When shown descriptions that explain the implications instead of the definition/processes of DP or LDP technique, participants demonstrated better comprehension and showed more willingness to share information with LDP than with DP, indicating their understanding of LDP's stronger privacy guarantee compared with DP.

Potential applications include development of phishing prevention training incorporating domain highlighting with other methods to help users identify phishing Web pages.

Three experiments used compatible and incompatible mappings of images of eating utensils to test the hypothesis that these images activate affordances for grasping with the corresponding hand when the required response is a key-press. In Experiment 1, stimuli were photographs of a plastic spoon oriented on the horizontal axis, with the handle location varying randomly between left and right. Participants were instructed to respond to the handle or the tip, with a compatible mapping in one trial block and an incompatible mapping in another. A benefit for the compatible mapping was evident when the spoon tip was defined as relevant and a smaller cost when the handle was defined as relevant, suggesting a larger influence of the tip than the handle. In Experiment 2, the stimuli were photographs of bamboo chopsticks, for which the functional end is pointed and the graspable end is squared. East Asian participants familiar with chopsticks showed compatibility effects that did not differ significantly between the two ends. In Experiment 3, the chopstick handles were colored red to make them relatively more distinct than the tips. Both East Asian participants (Experiment 3B) and a more diverse sample (Experiment 3A) showed a benefit of the compatible mapping when the handle was defined as task relevant but not when the functional end was. Altogether, the results provide evidence that left-right location of a visually salient feature is the main factor driving these compatibility effects, rather than the automatic activation of a grasping affordance.

Background Although fake news creation and consumption are mutually related and can be changed to one another, our review indicates that a significant amount of research has primarily focused on news creation. To mitigate this research gap, we present a comprehensive survey of fake news research, conducted in the fields of computer and social sciences, through the lens of news creation and consumption with internal and external factors. Methods We collect 2,277 fake news-related literature searching six primary publishers (ACM, IEEE, arXiv, APA, ELSEVIER, and Wiley) from July to September 2020. These articles are screened according to specific inclusion criteria (see Fig 1). Eligible literature are categorized, and temporal trends of fake news research are examined. Results As a way to acquire more comprehensive understandings of fake news and identify effective countermeasures, our review suggests (1) developing a computational model that considers the characteristics of news consumption environments leveraging insights from social science, (2) understanding the diversity of news consumers through mental models, and (3) increasing consumers’ awareness of the characteristics and impacts of fake news through the support of transparent information access and education. Conclusion We discuss the importance and direction of supporting one’s “digital media literacy” in various news generation and consumption environments through the convergence of computational and social science research.