{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T04:17:33Z","timestamp":1750220253514,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":14,"publisher":"ACM","license":[{"start":{"date-parts":[[2022,2,25]],"date-time":"2022-02-25T00:00:00Z","timestamp":1645747200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2022,2,25]]},"DOI":"10.1145\/3523089.3523107","type":"proceedings-article","created":{"date-parts":[[2022,5,24]],"date-time":"2022-05-24T04:11:28Z","timestamp":1653365488000},"page":"111-115","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":2,"title":["A Study on People's Mental Health on Twitter During the COVID-19 Pandemic"],"prefix":"10.1145","author":[{"given":"James Forrest","family":"Bankston","sequence":"first","affiliation":[{"name":"Computer Science Department, Troy University, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Long","family":"Ma","sequence":"additional","affiliation":[{"name":"Computer Science Department, Troy University, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2022,5,23]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"crossref","unstructured":"Zhang Y Liu H Liu Y Zhang X Wang Y Luo J Monitoring Depression Trends on Twitter During the COVID-19 Pandemic: Observational Study JMIR Infodemiology 2021;1(1):e26769  Zhang Y Liu H Liu Y Zhang X Wang Y Luo J Monitoring Depression Trends on Twitter During the COVID-19 Pandemic: Observational Study JMIR Infodemiology 2021;1(1):e26769","DOI":"10.2196\/26769"},{"key":"e_1_3_2_1_2_1","first-page":"e26482","volume":"2021","author":"Zhang C","unstructured":"Zhang C , Xu S , Li Z , Hu S. Understanding Concerns , Sentiments, and Disparities Among Population Groups During the COVID-19 Pandemic Via Twitter DataZhang C, Xu S, Li Z, Hu S. Understanding Concerns, Sentiments, and Disparities Among Population Groups During the COVID-19 Pandemic Via Twitter Data Mining : Large-scale Cross-sectional Study. J Med Internet Res. 2021 Mar 5;23(3): e26482 . doi: 10.2196\/26482. PMID: 33617460; PMCID: PMC7939057. 10.2196\/26482 Zhang C, Xu S, Li Z, Hu S. Understanding Concerns, Sentiments, and Disparities Among Population Groups During the COVID-19 Pandemic Via Twitter DataZhang C, Xu S, Li Z, Hu S. Understanding Concerns, Sentiments, and Disparities Among Population Groups During the COVID-19 Pandemic Via Twitter Data Mining: Large-scale Cross-sectional Study. J Med Internet Res. 2021 Mar 5;23(3):e26482. doi: 10.2196\/26482. PMID: 33617460; PMCID: PMC7939057.","journal-title":"Large-scale Cross-sectional Study. J Med Internet Res."},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1109\/TCSS.2020.3047604"},{"key":"#cr-split#-e_1_3_2_1_4_1.1","doi-asserted-by":"crossref","unstructured":"S. T. Sadasivuni and Y. Zhang \"Using Gradient Methods to Predict Twitter Users' Mental Health with Both COVID-19 Growth Patterns and Tweets \" 2020 IEEE International Conference on Humanized Computing and Communication with Artificial Intelligence (HCCAI) 2020 pp. 65-66 doi: 10.1109\/HCCAI49649.2020.00017. 10.1109\/HCCAI49649.2020.00017","DOI":"10.1109\/HCCAI49649.2020.00017"},{"key":"#cr-split#-e_1_3_2_1_4_1.2","doi-asserted-by":"crossref","unstructured":"S. T. Sadasivuni and Y. Zhang \"Using Gradient Methods to Predict Twitter Users' Mental Health with Both COVID-19 Growth Patterns and Tweets \" 2020 IEEE International Conference on Humanized Computing and Communication with Artificial Intelligence (HCCAI) 2020 pp. 65-66 doi: 10.1109\/HCCAI49649.2020.00017.","DOI":"10.1109\/HCCAI49649.2020.00017"},{"key":"e_1_3_2_1_5_1","unstructured":"https:\/\/www.statista.com\/statistics\/970920\/monetizable-daily-active-twitter-users-worldwide\/  https:\/\/www.statista.com\/statistics\/970920\/monetizable-daily-active-twitter-users-worldwide\/"},{"key":"e_1_3_2_1_6_1","unstructured":"https:\/\/www.brandwatch.com\/blog\/twitter-stats-and-statistics\/  https:\/\/www.brandwatch.com\/blog\/twitter-stats-and-statistics\/"},{"key":"e_1_3_2_1_7_1","unstructured":"https:\/\/developer.twitter.com\/en\/docs\/twitter-api  https:\/\/developer.twitter.com\/en\/docs\/twitter-api"},{"key":"e_1_3_2_1_8_1","unstructured":"https:\/\/www.who.int\/news-room\/fact-sheets\/detail\/depression  https:\/\/www.who.int\/news-room\/fact-sheets\/detail\/depression"},{"key":"e_1_3_2_1_9_1","unstructured":"https:\/\/www.nhs.uk\/mental-health\/conditions\/clinical-depression\/causes\/  https:\/\/www.nhs.uk\/mental-health\/conditions\/clinical-depression\/causes\/"},{"issue":"10","key":"e_1_3_2_1_10_1","first-page":"3740","article-title":"2020. \"Depression and Anxiety in Hong Kong during COVID-19","author":"Choi P.H.","unstructured":"Choi , Edmond P.H. , Bryant P.H. Hui , and Eric Y.F. Wan . 2020. \"Depression and Anxiety in Hong Kong during COVID-19 \" \u00a0International Journal of Environmental Research and Public Health\u00a017 , no. 10 : 3740 . https:\/\/doi.org\/10.3390\/ijerph17103740 10.3390\/ijerph17103740 Choi, Edmond P.H., Bryant P.H. Hui, and Eric Y.F. Wan. 2020. \"Depression and Anxiety in Hong Kong during COVID-19\"\u00a0International Journal of Environmental Research and Public Health\u00a017, no. 10: 3740. https:\/\/doi.org\/10.3390\/ijerph17103740","journal-title":"\u00a0International Journal of Environmental Research and Public Health\u00a017"},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.1080\/09720510.2020.1833453"},{"key":"e_1_3_2_1_12_1","first-page":"1","volume-title":"Constructing a Semantic Graph with Depression Symptoms Extraction from Twitter,\"\u00a02019 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB)","author":"Ma Y.","year":"2019","unstructured":"L. Ma and Y. Wang , \" Constructing a Semantic Graph with Depression Symptoms Extraction from Twitter,\"\u00a02019 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB) , 2019 , pp. 1 - 5 , doi: 10.1109\/CIBCB.2019.8791452. 10.1109\/CIBCB.2019.8791452 L. Ma and Y. Wang, \"Constructing a Semantic Graph with Depression Symptoms Extraction from Twitter,\"\u00a02019 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB), 2019, pp. 1-5, doi: 10.1109\/CIBCB.2019.8791452."},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"crossref","unstructured":"Clemente-Su\u00e1rez Vicente Javier Eduardo Navarro-Jim\u00e9nez Libertad Moreno-Luna Mar\u00eda Concepci\u00f3n Saavedra-Serrano Manuel Jimenez Juan Antonio Sim\u00f3n and Jose Francisco Tornero-Aguilera. \"The impact of the COVID-19 pandemic on social health and economy.\"\u00a0Sustainability\u00a013 no. 11 (2021):  6314.  Clemente-Su\u00e1rez Vicente Javier Eduardo Navarro-Jim\u00e9nez Libertad Moreno-Luna Mar\u00eda Concepci\u00f3n Saavedra-Serrano Manuel Jimenez Juan Antonio Sim\u00f3n and Jose Francisco Tornero-Aguilera. \"The impact of the COVID-19 pandemic on social health and economy.\"\u00a0Sustainability\u00a013 no. 11 (2021): 6314.","DOI":"10.3390\/su13116314"}],"event":{"name":"ICCDA 2022: 2022 The 6th International Conference on Compute and Data Analysis","acronym":"ICCDA 2022","location":"Shanghai China"},"container-title":["2022 The 6th International Conference on Compute and Data Analysis"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3523089.3523107","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3523089.3523107","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T19:30:43Z","timestamp":1750188643000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3523089.3523107"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,2,25]]},"references-count":14,"alternative-id":["10.1145\/3523089.3523107","10.1145\/3523089"],"URL":"https:\/\/doi.org\/10.1145\/3523089.3523107","relation":{},"subject":[],"published":{"date-parts":[[2022,2,25]]},"assertion":[{"value":"2022-05-23","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}