Publication
Lisbon Emoji and Emoticon Database (LEED): Norms for emoji and emoticons in seven evaluative dimensions
dc.contributor.author | Rodrigues, David | |
dc.contributor.author | Prada, Marília | |
dc.contributor.author | Gaspar, Rui | |
dc.contributor.author | Garrido, Margarida Vaz | |
dc.contributor.author | Lopes, Diniz | |
dc.date.accessioned | 2017-06-29T13:55:50Z | |
dc.date.available | 2017-06-29T13:55:50Z | |
dc.date.issued | 2017 | |
dc.description.abstract | 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. | pt_PT |
dc.description.version | info:eu-repo/semantics/publishedVersion | pt_PT |
dc.identifier.citation | Behavior Research Methods, published on-line, 31 March 2017. Doi: 10.3758/s13428-017-0878-6 | pt_PT |
dc.identifier.doi | 10.3758/s13428-017-0878-6 | pt_PT |
dc.identifier.issn | 1554-351X | |
dc.identifier.uri | http://hdl.handle.net/10400.12/5598 | |
dc.language.iso | eng | pt_PT |
dc.peerreviewed | yes | pt_PT |
dc.publisher | Springer Verlag | pt_PT |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | pt_PT |
dc.subject | LEED | pt_PT |
dc.subject | Emoticons | pt_PT |
dc.subject | Emoji | pt_PT |
dc.subject | Aesthetic appeal | pt_PT |
dc.subject | Familiarity | pt_PT |
dc.subject | Visual complexity | pt_PT |
dc.subject | Concreteness | pt_PT |
dc.subject | Valence | pt_PT |
dc.subject | Arousal | pt_PT |
dc.subject | Meaningfulness | pt_PT |
dc.subject | Meaning analysis | pt_PT |
dc.subject | Normative ratings | pt_PT |
dc.subject | Android | pt_PT |
dc.subject | iOS | pt_PT |
dc.subject | pt_PT | |
dc.subject | ICTs | pt_PT |
dc.title | Lisbon Emoji and Emoticon Database (LEED): Norms for emoji and emoticons in seven evaluative dimensions | pt_PT |
dc.type | journal article | |
dspace.entity.type | Publication | |
oaire.citation.conferencePlace | Germany | pt_PT |
oaire.citation.title | Behavior Research Methods | pt_PT |
rcaap.rights | restrictedAccess | pt_PT |
rcaap.type | article | pt_PT |