{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,8]],"date-time":"2025-10-08T00:32:20Z","timestamp":1759883540455,"version":"build-2065373602"},"publisher-location":"New York, NY, USA","reference-count":24,"publisher":"ACM","content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2025,5,8]]},"DOI":"10.1145\/3701716.3717743","type":"proceedings-article","created":{"date-parts":[[2025,6,23]],"date-time":"2025-06-23T14:10:32Z","timestamp":1750687832000},"page":"1938-1945","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["BEAST: Leveraging Contrastive Learning and Unsupervised Sentence Embeddings for Improved Drug Abuse Detection"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0009-0004-4716-2696","authenticated-orcid":false,"given":"Shuvam","family":"Shiwakoti","sequence":"first","affiliation":[{"name":"Virginia Tech, Blacksburg, VA, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0000-9403-8728","authenticated-orcid":false,"given":"Siddhant Bikram","family":"Shah","sequence":"additional","affiliation":[{"name":"Northeastern University, Boston, MA, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1717-5785","authenticated-orcid":false,"given":"Wei","family":"Wang","sequence":"additional","affiliation":[{"name":"Shenzhen MSU-BIT University, Shenzhen, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4119-8239","authenticated-orcid":false,"given":"Surendrabikram","family":"Thapa","sequence":"additional","affiliation":[{"name":"Virginia Tech, Blacksburg, VA, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3930-6600","authenticated-orcid":false,"given":"Imran","family":"Razzak","sequence":"additional","affiliation":[{"name":"Mohamed bin Zayed University of Artificial Intelligence, Abu Dhabi, United Arab Emirates and University of New South Wales, Sydney, NSW, Australia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0191-7171","authenticated-orcid":false,"given":"Usman","family":"Naseem","sequence":"additional","affiliation":[{"name":"Macquarie University, Sydney, NSW, Australia"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2025,5,23]]},"reference":[{"key":"e_1_3_2_2_1_1","volume-title":"Text classification models for the automatic detection of nonmedical prescription medication use from social media. BMC medical informatics and decision making, 21:1--13","author":"Al-Garadi Mohammed Ali","year":"2021","unstructured":"Mohammed Ali Al-Garadi, Yuan-Chi Yang, Haitao Cai, Yucheng Ruan, Karen O'Connor, Gonzalez-Hernandez Graciela, Jeanmarie Perrone, and Abeed Sarker. Text classification models for the automatic detection of nonmedical prescription medication use from social media. BMC medical informatics and decision making, 21:1--13, 2021."},{"key":"e_1_3_2_2_2_1","doi-asserted-by":"publisher","DOI":"10.1145\/3366423.3380198"},{"key":"e_1_3_2_2_3_1","volume-title":"overdose deaths in 2021 increased half as much as in 2020 -- but are still up 15%","author":"CDC.","year":"2022","unstructured":"CDC. U.S. overdose deaths in 2021 increased half as much as in 2020 -- but are still up 15%, 2022."},{"key":"e_1_3_2_2_4_1","volume-title":"Norbert W Paul, and Thomas Efferth. Health (care) in the crisis: reflections in science and society on opioid addiction. International journal of environmental research and public health, 18(1):341","author":"Damiescu Roxana","year":"2021","unstructured":"Roxana Damiescu, Mita Banerjee, David YW Lee, Norbert W Paul, and Thomas Efferth. Health (care) in the crisis: reflections in science and society on opioid addiction. International journal of environmental research and public health, 18(1):341, 2021."},{"key":"e_1_3_2_2_5_1","volume-title":"Bert: Pre-training of deep bidirectional transformers for language understanding. arXiv preprint arXiv:1810.04805","author":"Devlin Jacob","year":"2018","unstructured":"Jacob Devlin. Bert: Pre-training of deep bidirectional transformers for language understanding. arXiv preprint arXiv:1810.04805, 2018."},{"key":"e_1_3_2_2_6_1","doi-asserted-by":"publisher","DOI":"10.1017\/S1351324919000457"},{"key":"e_1_3_2_2_7_1","volume-title":"Simcse: Simple contrastive learning of sentence embeddings. arXiv preprint arXiv:2104.08821","author":"Gao Tianyu","year":"2021","unstructured":"Tianyu Gao, Xingcheng Yao, and Danqi Chen. Simcse: Simple contrastive learning of sentence embeddings. arXiv preprint arXiv:2104.08821, 2021."},{"key":"e_1_3_2_2_8_1","volume-title":"Inductive representation learning on large graphs. Advances in neural information processing systems, 30","author":"Hamilton Will","year":"2017","unstructured":"Will Hamilton, Zhitao Ying, and Jure Leskovec. Inductive representation learning on large graphs. Advances in neural information processing systems, 30, 2017."},{"key":"e_1_3_2_2_9_1","first-page":"137","volume-title":"Proceedings of the 2018 World Wide Web Conference","author":"Karisani Payam","year":"2018","unstructured":"Payam Karisani and Eugene Agichtein. Did you really just have a heart attack? towards robust detection of personal health mentions in social media. In Proceedings of the 2018 World Wide Web Conference, pages 137--146, 2018."},{"key":"e_1_3_2_2_10_1","volume-title":"Supervised contrastive learning. Advances in neural information processing systems, 33:18661--18673","author":"Khosla Prannay","year":"2020","unstructured":"Prannay Khosla, Piotr Teterwak, ChenWang, Aaron Sarna, Yonglong Tian, Phillip Isola, Aaron Maschinot, Ce Liu, and Dilip Krishnan. Supervised contrastive learning. Advances in neural information processing systems, 33:18661--18673, 2020."},{"key":"e_1_3_2_2_11_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2021.emnlp-main.316"},{"key":"e_1_3_2_2_12_1","volume-title":"Testing the ability of language models to interpret figurative language. arXiv preprint arXiv:2204.12632","author":"Liu Emmy","year":"2022","unstructured":"Emmy Liu, Chen Cui, Kenneth Zheng, and Graham Neubig. Testing the ability of language models to interpret figurative language. arXiv preprint arXiv:2204.12632, 2022."},{"key":"e_1_3_2_2_13_1","doi-asserted-by":"publisher","DOI":"10.5555\/2002472.2002491"},{"key":"e_1_3_2_2_14_1","doi-asserted-by":"publisher","DOI":"10.1145\/3543873.3587587"},{"key":"e_1_3_2_2_15_1","doi-asserted-by":"publisher","DOI":"10.1007\/s13278-023-01167-9"},{"key":"e_1_3_2_2_16_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2023.socialnlp-1.1"},{"key":"e_1_3_2_2_17_1","volume-title":"Representation learning with contrastive predictive coding. arXiv preprint arXiv:1807.03748","author":"van den Oord Aaron","year":"2018","unstructured":"Aaron van den Oord, Yazhe Li, and Oriol Vinyals. Representation learning with contrastive predictive coding. arXiv preprint arXiv:1807.03748, 2018."},{"key":"e_1_3_2_2_18_1","doi-asserted-by":"publisher","DOI":"10.3233\/SHTI190238"},{"key":"e_1_3_2_2_19_1","doi-asserted-by":"publisher","DOI":"10.1007\/s40264-015-0379-4"},{"key":"e_1_3_2_2_20_1","volume-title":"Navigating the web of disinformation and misinformation: Large language models as doubleedged swords","author":"Shah Siddhant Bikram","year":"2024","unstructured":"Siddhant Bikram Shah, Surendrabikram Thapa, Ashish Acharya, Kritesh Rauniyar, Sweta Poudel, Sandesh Jain, Anum Masood, and Usman Naseem. Navigating the web of disinformation and misinformation: Large language models as doubleedged swords. IEEE Access, 2024."},{"key":"e_1_3_2_2_21_1","doi-asserted-by":"publisher","DOI":"10.3390\/electronics12040937"},{"key":"e_1_3_2_2_22_1","volume-title":"Drug use in the twittersphere: a qualitative contextual analysis of tweets about prescription drugs. Journal of addictive diseases, 34(4):303--310","author":"Shutler Lukas","year":"2015","unstructured":"Lukas Shutler, Lewis S Nelson, Ian Portelli, Courtney Blachford, and Jeanmarie Perrone. Drug use in the twittersphere: a qualitative contextual analysis of tweets about prescription drugs. Journal of addictive diseases, 34(4):303--310, 2015."},{"key":"e_1_3_2_2_23_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/W17-4508"},{"key":"e_1_3_2_2_24_1","volume-title":"Cline: Contrastive learning with semantic negative examples for natural language understanding. arXiv preprint arXiv:2107.00440","author":"Wang Dong","year":"2021","unstructured":"Dong Wang, Ning Ding, Piji Li, and Hai-Tao Zheng. Cline: Contrastive learning with semantic negative examples for natural language understanding. arXiv preprint arXiv:2107.00440, 2021."}],"event":{"name":"WWW '25: The ACM Web Conference 2025","sponsor":["SIGWEB ACM Special Interest Group on Hypertext, Hypermedia, and Web"],"location":"Sydney NSW Australia","acronym":"WWW '25"},"container-title":["Companion Proceedings of the ACM on Web Conference 2025"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3701716.3717743","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,7]],"date-time":"2025-10-07T18:20:53Z","timestamp":1759861253000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3701716.3717743"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,5,8]]},"references-count":24,"alternative-id":["10.1145\/3701716.3717743","10.1145\/3701716"],"URL":"https:\/\/doi.org\/10.1145\/3701716.3717743","relation":{},"subject":[],"published":{"date-parts":[[2025,5,8]]},"assertion":[{"value":"2025-05-23","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}