{"doi":"10.18001/trs.7.1.4","title":"Tweets About Acute Nicotine Toxicity Due to e-Liquid Exposure","abstract":"OBJECTIVES: Intentional and unintentional exposures to electronic nicotine delivery system (ENDS) e-liquids can cause illness and death. In this study, we describe acute nicotine toxicity due to e-liquid exposure (ANTEE) information found on Twitter and contextualize ANTEE experiences to clarify conditions associated with exposure. METHODS: We obtained 20,180 ANTEE-relevant tweets from 2013-2018. We excluded retweets, suspected bots, non-English tweets, tweets not originating in the US, and advertisements. We coded relevant tweets qualitatively using domains for e-liquid exposure tweets and e-liquid-related non-exposure tweets (ie, posts reflecting hypothetical exposure, information about e-liquids). RESULTS: Content analyses were based on 1656 e-liquid exposure tweets and 1210 non-exposure tweets. More than half of exposure tweets (61.3%) were classified as accidental exposures; subjects were predominately young people, assumed to be under age 18 (40.5%), and self (27.7%). The most common exposure route was ingestion (61.1%). Of exposure tweets, 13.9% described health effects and 12.7% described seeking assistance. Most non-exposure tweets were classified as likely or hypothetical exposure (49.9%) or presentation of advice, information, or warnings (40.5%). CONCLUSIONS: Tweets can serve as a novel and complementary data source for learning more about e-liquid exposures.","journal":"Tobacco Regulatory Science","year":2021,"id":205240,"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":2,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":0.5443,"is_data_producer":false,"deposit_databanks":null,"is_oa":true,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":"2021-01-01","fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":788176,"name":"M.A. Johnson","orcid":"0000-0002-3084-2992","position":1,"is_corresponding":false},{"id":364336,"name":"Anh B. Nguyen","orcid":"0000-0003-3490-3745","position":2,"is_corresponding":false},{"id":788570,"name":"Danielle Hill","orcid":null,"position":3,"is_corresponding":false},{"id":788175,"name":"Sarah Trigger","orcid":"0000-0001-9982-4349","position":0,"is_corresponding":true}],"reference_count":15,"raw_metadata":null,"created_at":"2026-07-18T23:51:30.197308Z","pmid":"33575436","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":[]}