{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,19]],"date-time":"2025-12-19T09:51:52Z","timestamp":1766137912617,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":20,"publisher":"ACM","license":[{"start":{"date-parts":[[2021,11,8]],"date-time":"2021-11-08T00:00:00Z","timestamp":1636329600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0\/"}],"funder":[{"name":"Engineering and Physical Sciences Research Council (EPSRC), UK Research and Innovation (UKRI), UK","award":["EP\/R033749\/1, EP\/P011896\/2"],"award-info":[{"award-number":["EP\/R033749\/1, EP\/P011896\/2"]}]},{"DOI":"10.13039\/501100000780","name":"European Commission","doi-asserted-by":"publisher","award":["675320"],"award-info":[{"award-number":["675320"]}],"id":[{"id":"10.13039\/501100000780","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2021,11,8]]},"DOI":"10.1145\/3487351.3492716","type":"proceedings-article","created":{"date-parts":[[2022,2,19]],"date-time":"2022-02-19T12:16:07Z","timestamp":1645272967000},"page":"599-606","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":10,"title":["Detecting cyber security related Twitter accounts and different sub-groups"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-9889-7837","authenticated-orcid":false,"given":"Mohamad Imad","family":"Mahaini","sequence":"first","affiliation":[{"name":"University of Kent, Canterbury, UK"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5628-7328","authenticated-orcid":false,"given":"Shujun","family":"Li","sequence":"additional","affiliation":[{"name":"University of Kent, Canterbury, UK"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2022,1,19]]},"reference":[{"key":"e_1_3_2_1_1_1","first-page":"203","article-title":"Toward finding malicious cyber discussions in social media","volume":"2017","author":"Lippmann R. P.","year":"2017","unstructured":"R. P. Lippmann , W. M. Campbell , D. J. Weller-Fahy , A. C. Mensch , G. M. Zeno , and J. P. Campbell , \" Toward finding malicious cyber discussions in social media ,\" in Proceedings of AAAI 2017 Workshops. AAAI, 2017 , pp. 203 -- 209 . R. P. Lippmann, W. M. Campbell, D. J. Weller-Fahy, A. C. Mensch, G. M. Zeno, and J. P. Campbell, \"Toward finding malicious cyber discussions in social media,\" in Proceedings of AAAI 2017 Workshops. AAAI, 2017, pp. 203--209.","journal-title":"Proceedings of AAAI"},{"key":"e_1_3_2_1_2_1","first-page":"327","volume-title":"AAAI","author":"Jones K.","year":"2020","unstructured":"K. Jones , J. R. Nurse , and S. Li , \" Behind the mask: A computational study of Anonymous' presence on Twitter,\" in Proceedings of ICWSM 2020 . AAAI , 2020 , pp. 327 -- 338 . [Online]. Available : https:\/\/aaai.org\/ojs\/index.php\/ICWSM\/article\/view\/7303 K. Jones, J. R. Nurse, and S. Li, \"Behind the mask: A computational study of Anonymous' presence on Twitter,\" in Proceedings of ICWSM 2020. AAAI, 2020, pp. 327-- 338. [Online]. Available: https:\/\/aaai.org\/ojs\/index.php\/ICWSM\/article\/view\/7303"},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2020.3037015"},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.1145\/3217804.3217919"},{"key":"e_1_3_2_1_5_1","first-page":"281","article-title":"A machine learning approach to Twitter user classification","author":"Pennacchiotti M.","year":"2011","unstructured":"M. Pennacchiotti and A.-M. Popescu , \" A machine learning approach to Twitter user classification ,\" Proceedings of ICWSM 2011 , pp. 281 -- 288 , 2011. [Online]. Available: https:\/\/ojs.aaai.org\/index.php\/ICWSM\/article\/view\/14139 M. Pennacchiotti and A.-M. Popescu, \"A machine learning approach to Twitter user classification,\" Proceedings of ICWSM 2011, pp. 281--288, 2011. [Online]. Available: https:\/\/ojs.aaai.org\/index.php\/ICWSM\/article\/view\/14139","journal-title":"Proceedings of ICWSM"},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1111\/jcom.12084"},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.1145\/2020408.2020477"},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.1145\/2065023.2065035"},{"key":"e_1_3_2_1_9_1","first-page":"211","volume-title":"AAAI","author":"Liu L.","year":"2016","unstructured":"L. Liu , D. Preotiuc-Pietro , Z. R. Samani , M. E. Moghaddam , and L. Ungar , \" Analyzing personality through social media profile picture choice,\" in Proceedings of ICWSM 2016 . AAAI , 2016 , pp. 211 -- 220 . [Online]. Available : https:\/\/ojs.aaai.org\/index.php\/ICWSM\/article\/view\/14738 L. Liu, D. Preotiuc-Pietro, Z. R. Samani, M. E. Moghaddam, and L. Ungar, \"Analyzing personality through social media profile picture choice,\" in Proceedings of ICWSM 2016. AAAI, 2016, pp. 211--220. [Online]. Available: https:\/\/ojs.aaai.org\/index.php\/ICWSM\/article\/view\/14738"},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0138717"},{"key":"e_1_3_2_1_11_1","first-page":"2010","article-title":"Detecting spammers on Twitter","author":"Benevenuto F.","year":"2010","unstructured":"F. Benevenuto , G. Magno , T. Rodrigues , and V. Almeida , \" Detecting spammers on Twitter ,\" in Proceedings of CEAS 2010 , 2010 . [Online]. Available: https:\/\/homepages.dcc.ufmg.br\/~fabricio\/download\/ceas10.pdf F. Benevenuto, G. Magno, T. Rodrigues, and V. Almeida, \"Detecting spammers on Twitter,\" in Proceedings of CEAS 2010, 2010. [Online]. Available: https:\/\/homepages.dcc.ufmg.br\/~fabricio\/download\/ceas10.pdf","journal-title":"Proceedings of CEAS"},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.1088\/1742-6596\/1362\/1\/012111"},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.1109\/MTS.2020.3012327"},{"key":"e_1_3_2_1_14_1","volume-title":"USENIX","author":"Cao Q.","year":"2012","unstructured":"Q. Cao , M. Sirivianos , X. Yang , and T. Pregueiro , \" Aiding the detection of fake accounts in large scale social online services,\" in Proceedings of NSDI 2012 . USENIX , 2012 . [Online]. Available : https:\/\/www.usenix.org\/conference\/nsdi12\/technical-sessions\/presentation\/cao Q. Cao, M. Sirivianos, X. Yang, and T. Pregueiro, \"Aiding the detection of fake accounts in large scale social online services,\" in Proceedings of NSDI 2012. USENIX, 2012. [Online]. Available: https:\/\/www.usenix.org\/conference\/nsdi12\/technical-sessions\/presentation\/cao"},{"key":"e_1_3_2_1_15_1","doi-asserted-by":"publisher","DOI":"10.1007\/s00500-016-2265-0"},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"publisher","DOI":"10.1145\/3339252.3339282"},{"key":"e_1_3_2_1_17_1","doi-asserted-by":"publisher","DOI":"10.1007\/s10796-017-9805-8"},{"key":"e_1_3_2_1_18_1","doi-asserted-by":"publisher","DOI":"10.1177\/0261927X09351676"},{"key":"e_1_3_2_1_19_1","doi-asserted-by":"publisher","DOI":"10.1109\/EuroSPW51379.2020.00070"},{"key":"e_1_3_2_1_20_1","first-page":"412","volume-title":"A comparative study on feature selection in text categorization,\" in Proceedings of ICML '97","author":"Yang Y.","year":"1997","unstructured":"Y. Yang and J. O. Pedersen , \" A comparative study on feature selection in text categorization,\" in Proceedings of ICML '97 , vol. 97 . Morgan Kaufmann , 1997 , pp. 412 -- 420 . Y. Yang and J. O. Pedersen, \"A comparative study on feature selection in text categorization,\" in Proceedings of ICML '97, vol. 97. Morgan Kaufmann, 1997, pp. 412--420."}],"event":{"name":"ASONAM '21: International Conference on Advances in Social Networks Analysis and Mining","sponsor":["SIGKDD ACM Special Interest Group on Knowledge Discovery in Data","IEEE CS"],"location":"Virtual Event Netherlands","acronym":"ASONAM '21"},"container-title":["Proceedings of the 2021 IEEE\/ACM International Conference on Advances in Social Networks Analysis and Mining"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3487351.3492716","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3487351.3492716","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T19:30:49Z","timestamp":1750188649000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3487351.3492716"}},"subtitle":["a multi-classifier approach"],"short-title":[],"issued":{"date-parts":[[2021,11,8]]},"references-count":20,"alternative-id":["10.1145\/3487351.3492716","10.1145\/3487351"],"URL":"https:\/\/doi.org\/10.1145\/3487351.3492716","relation":{},"subject":[],"published":{"date-parts":[[2021,11,8]]},"assertion":[{"value":"2022-01-19","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}