{"doi":"10.1093/ntr/ntad220","title":"Spanish-Language Tobacco-Related Posts on Twitter: Content Analysis","abstract":"INTRODUCTION: Twitter data have been used to surveil public sentiment about tobacco products; however, most tobacco-related Twitter research has been conducted with English-language posts. There is a gap in the literature on tobacco-related discussions on Twitter in languages other than English. This study summarized tobacco-related discussions in Spanish on Twitter. METHODS: A set of Spanish terms reflecting electronic cigarettes (eg, \"cigarillos electrónicos\"), cigarettes (eg, \"pitillo\"), and cigars (eg, \"cigaro\") were identified. A content analysis of tweets (n = 1352) drawn from 2021 was performed to examine themes and sentiment. An initial codebook was developed in English then translated to Spanish and then translated back to English by a bilingual (Spanish and English) member of the research team. Two bilingual members of the research team coded the tweets into themes and sentiment. RESULTS: Themes in the tweets included (1) product promotion (n = 168, 12.4%), (2) health warnings (n = 161, 11.9%), (3) tobacco use (n = 136, 10.1%), (4) health benefits of vaping (n = 58, 4.3%), (5) cannabis use (n = 50, 3.7%), (6) cessation (n = 47, 3.5%), (7) addiction (n = 33, 2.4%), (8) policy (n = 27, 2.0%), and (9) polysubstance use (n = 12, 0.9%). Neutral (n = 955, 70.6%) was the most common category of sentiment observed in the data. CONCLUSIONS: Tobacco products are discussed in multiple languages on Twitter and can be summarized by bilingual research teams. Future research should determine if Spanish-speaking individuals are frequently exposed to pro-tobacco content on social media and if such exposure increases susceptibility to use tobacco among never users or sustained use among current users. IMPLICATIONS: Spanish-language pro-tobacco content exists on Twitter, which has implications for Spanish-speaking individuals who may be exposed to this content. Spanish-language pro-tobacco-related posts may help normalize tobacco use among Spanish-speaking populations. As a result, anti-tobacco tweets in Spanish may be necessary to counter areas of the online environment that can be considered pro-tobacco.","journal":"Nicotine & Tobacco Research","year":2023,"id":375956,"datarank":0.0,"base_score":0.0,"endowment":0.0,"self_citation_contribution":0.0,"citation_network_contribution":0.0,"self_endowment_contribution":0.0,"citer_contribution":0.0,"corpus_percentile":null,"corpus_rank":null,"citation_count":4,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":0.5127,"is_data_producer":false,"deposit_databanks":null,"is_oa":true,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":"2023-01-01","fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":1138470,"name":"Viviana Rodríguez","orcid":"0000-0002-4862-5486","position":1,"is_corresponding":false},{"id":478207,"name":"Monica Pattarroyo","orcid":null,"position":2,"is_corresponding":false},{"id":1138471,"name":"Carla Ramírez","orcid":"0000-0001-9146-0894","position":3,"is_corresponding":false},{"id":1084485,"name":"Trista Beard","orcid":"0000-0001-5543-4795","position":4,"is_corresponding":false},{"id":477353,"name":"Daniel W. Soto","orcid":"0000-0002-7602-7504","position":5,"is_corresponding":false},{"id":1084484,"name":"Scott Donaldson","orcid":"0000-0001-8145-0860","position":6,"is_corresponding":false},{"id":240001,"name":"Jennifer B. Unger","orcid":"0000-0001-9064-6603","position":7,"is_corresponding":false},{"id":304347,"name":"Jon-Patrick Allem","orcid":"0000-0001-9135-8689","position":0,"is_corresponding":true}],"reference_count":36,"raw_metadata":null,"created_at":"2026-07-19T01:16:23.381203Z","pmid":"37942524","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":[]}