The use of emoticons and emoji is increasingly popular across a variety of new platforms of online communication. They have also become popular as stimulus materials in scientific research. However, the assumption that emoji/emoticon users’ interpretations always correspond to the developers’/researchers’ intended meanings might be misleading. This article presents subjective norms of emoji and emoticons provided by everyday users. The Lisbon Emoji and Emoticon Database (LEED) comprises 238 stimuli: 85 emoticons and 153 emoji (collected from iOS, Android, Facebook, and Emojipedia). The sample included 505 Portuguese participants recruited online. Each participant evaluated a random subset of 20 stimuli for seven dimensions: aesthetic appeal, familiarity, visual complexity, concreteness, valence, arousal, and meaningfulness. Participants were additionally asked to attribute a meaning to each stimulus. The norms obtained include quantitative descriptive results (means, standard deviations, and confidence intervals) and a meaning analysis for each stimulus. We also examined the correlations between the dimensions and tested for differences between emoticons and emoji, as well as between the two major operating systems—Android and iOS. The LEED constitutes a readily available normative database (available at www.osf.io/nua4x ) with potential applications to different research domains.

This study explored the association between sociosexuality (behavior, attitudes, and desire) and commitment to understand sexual infidelity in current relationships. We also explored how these variables were associated with attitudes toward infidelity. Participants were romantically involved heterosexuals (N = 252; 51 women, 201 men; M_age = 41.13, SD = 9.82) registered on a dating Web site directed at romantically involved individuals. Results showed that sociosexuality, alongside commitment, was associated with sexual infidelity. Individuals who had (versus had not) previously engaged in infidelity reported more unrestricted sociosexuality, while reporting less commitment. For individuals reporting prior sexual infidelity, unrestricted sociosexual desire and lesser commitment were associated with more permissive perceptions of infidelity. For individuals reporting no prior sexual infidelity, greater commitment was always associated with more strict perceptions of infidelity. No gender differences emerged in the analyses. Also, no differences were found according to individual motivations (i.e., looking to know other people versus seeking casual sex) or relational motivations (i.e., individual registration versus registration as a couple) underlying individuals’ registration on the Web site. These results are an important addition to the literature on infidelity by analyzing a specific sample motivated to engage in infidelity. Implications for future research are discussed.

ScriptingRT is a new open source tool to collect response latencies in online studies of human cognition. ScriptingRT studies run as Flash applets in enabled browsers. ScriptingRT provides the building blocks of response latency studies, which are then combined with generic Apache Flex programming. Six studies evaluate the performance of ScriptingRT empirically. Studies 1–3 use specialized hardware to measure variance of response time measurement and stimulus presentation timing. Studies 4–6 implement a Stroop paradigm and run it both online and in the laboratory, comparing ScriptingRT to other response latency software. Altogether, the studies show that Flash programs developed in ScriptingRT show a small lag and an increased variance in response latencies. However, this did not significantly influence measured effects: The Stroop effect was reliably replicated in all studies, and the found effects did not depend on the software used. We conclude that ScriptingRT can be used to test response latency effects online.