Trust and distrust networks are usually extremely sparse and the vast majority of the existing algorithms for trust/distrust prediction suffer from the data sparsity problem. In this paper, following the research from psychology and sociology, we envision that users’ emotions such as happiness and anger are strong indicators of trust/distrust relations. Meanwhile the popularity of social media ...

Significant work has been initiated on trust in ecommerce settings, but little research has addressed distrust. Because of its connection to the insecurities that are found in risky situations, disposition to distrust is particularly suited to addressing issues of high risk, while disposition to trust is better suited for low risk issues. High risk issues include: a) perceptions that the Web is...

Trust and distrust are both considered to be crucial in online truster–trustee relationships. Although some research has proposed that trust and distrust are distinct, other research continues to hold that they are merely opposite ends of the same continuum. Given this debate, it is important to consider how distrust is distinguished from trust. To that end, this paper extends the nomological n...

We investigate levels of generalized distrust of men among low-income African American, Mexican, Puerto Rican, Dominican, and non-Hispanic white women in a three-city survey. The results reveal substantial variation. We find Hispanics' overall levels of distrust to be higher than levels for either African Americans or whites. Among Hispanics, however, Dominicans are the most distrusting group f...

Although trust and distrust are both crucial in online truster-trustee relationships, researchers disagree as to whether trust and distrust are distinct from each other. Given this debate, it is important to consider how distrust could be distinguished from trust. Accordingly, this paper extends the nomological network of distrust and introduces two novel antecedents never introduced in e-comme...