{"doi":"10.31234/osf.io/mrg3t","title":"Spring break or heart break? Extending valence bias to emotional words","abstract":"<p>Ambiguous stimuli are useful for assessing emotional bias. For example, surprised faces could convey a positive or negative meaning, and the degree to which an individual interprets these expressions as positive or negative represents their “valence bias.” Currently, the most well-validated ambiguous stimuli for assessing valence bias include nonverbal signals (faces and scenes), overlooking an inherent ambiguity in verbal signals. This study identified 32 words with dual-valence ambiguity (i.e., relatively high inter-subject variability in valence ratings and relatively slow response times) and length-matched clearly valenced words (16 positive, 16 negative). Preregistered analyses demonstrated that the words-based valence bias correlated with the bias for faces (rs(213)=.27, p&amp;lt;.001) and scenes (rs(204)=.46, p&amp;lt;.001). That is, the same people that interpret ambiguous faces/scenes as positive also interpret ambiguous words as positive. These findings provide a novel tool for measuring valence bias and greater generalizability resulting in a more robust measure of this bias.</p>","journal":"PsyArXiv (OSF Preprints)","year":null,"id":20338,"datarank":0.16479184330021646,"base_score":1.0986122886681096,"endowment":1.0986122886681096,"self_citation_contribution":0.16479184330021646,"citation_network_contribution":0.0,"self_endowment_contribution":0.16479184330021646,"citer_contribution":0.0,"corpus_percentile":null,"corpus_rank":null,"citation_count":2,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":null,"is_data_producer":false,"deposit_databanks":null,"is_oa":false,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":null,"fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":134784,"name":"Catie Brown","orcid":"0000-0002-1353-5552","position":1,"is_corresponding":false},{"id":134785,"name":"Maital Neta","orcid":null,"position":2,"is_corresponding":false},{"id":134783,"name":"Nicholas Harp","orcid":"0000-0002-8115-9309","position":0,"is_corresponding":false}],"reference_count":0,"raw_metadata":{"has_enrichment":true,"base_score":1.0986122886681096,"endowment":1.0986122886681096,"datacite_reuse_total":0,"file_count":0,"downloads":0,"views":0,"has_version_chain":false,"is_dataset":false,"is_oa":false,"pmid":"21071399","pmcid":null,"openalex_id":"https://openalex.org/W4252711001","authors":[],"funders":[],"total_grants":0,"fwci":0.2284,"citation_percentile":0.5413052,"influential_citations":0,"citation_trend":[{"year":2020,"count":1},{"year":2021,"count":1}],"oa_status":"gold","license":"cc-by","oa_locations":[{"url":"https://doi.org/10.31234/osf.io/mrg3t","host_type":""},{"url":"https://doi.org/10.31234/osf.io/mrg3t","host_type":""},{"url":"http://doi.org/10.31234/OSF.IO/MRG3T","host_type":"repository"},{"url":"https://osf.io/mrg3t","host_type":"repository"}],"fields_of_study":["Face Recognition and Perception","Neural and Behavioral Psychology Studies"],"mesh_terms":[],"keywords":["Valence (chemistry)","Emotional valence","Generalizability theory","Psychology","Ambiguity","Cognitive bias","Response bias","Cognitive psychology","Social psychology","Cognition","Developmental psychology","Linguistics","Chemistry"],"sdg_mappings":[],"linked_datasets":[],"clinical_trials":[],"software_tools":[],"database_accessions":[],"source":"live","citation_network_status":"fetched"},"created_at":"2026-06-04T08:48:24.823763Z","pmid":null,"pmcid":null,"fwci":null,"citation_percentile":null,"influential_citations":0,"oa_status":null,"license":null,"views":0,"total_file_size_bytes":0,"version_count":0,"fair_f":null,"fair_a":null,"fair_i":null,"fair_r":null,"fair_zscore":null,"fair_rationale":null,"fair_model":null,"fair_agent_version":null,"fair_fulltext_source":null,"fair_has_llm":null,"fair_computed_at":null,"clinical_trials":[],"software_tools":[],"db_accessions":[],"linked_datasets":[],"topics":[]}