{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,8,5]],"date-time":"2025-08-05T13:09:39Z","timestamp":1754399379179,"version":"3.40.3"},"publisher-location":"Cham","reference-count":18,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030657253"},{"type":"electronic","value":"9783030657260"}],"license":[{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2020]]},"DOI":"10.1007\/978-3-030-65726-0_16","type":"book-chapter","created":{"date-parts":[[2020,12,22]],"date-time":"2020-12-22T15:03:34Z","timestamp":1608649414000},"page":"165-175","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":9,"title":["BotSpot: Deep Learning Classification of Bot Accounts Within Twitter"],"prefix":"10.1007","author":[{"given":"Christopher","family":"Braker","sequence":"first","affiliation":[]},{"given":"Stavros","family":"Shiaeles","sequence":"additional","affiliation":[]},{"given":"Gueltoum","family":"Bendiab","sequence":"additional","affiliation":[]},{"given":"Nick","family":"Savage","sequence":"additional","affiliation":[]},{"given":"Konstantinos","family":"Limniotis","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2020,12,22]]},"reference":[{"unstructured":"Blog, H.: General twitter stats. https:\/\/blog.hootsuite.com\/twitter-statistics\/. Accessed 19 Oct 2019","key":"16_CR1"},{"doi-asserted-by":"crossref","unstructured":"Brunner, M., Palmer, S., Togher, L., Dann, S., Hemsley, B.: Content analysis of tweets by people with traumatic brain injury (TBI): implications for rehabilitation and social media goals. In: Proceedings of the 52nd Hawaii International Conference on System Sciences (2019)","key":"16_CR2","DOI":"10.24251\/HICSS.2019.523"},{"doi-asserted-by":"crossref","unstructured":"Chu, Z., Gianvecchio, S., Wang, H., Jajodia, S.: Who is tweeting on twitter: human, bot, or cyborg? In: Proceedings of the 26th Annual Computer Security Applications Conference, pp. 21\u201330. ACM (2010)","key":"16_CR3","DOI":"10.1145\/1920261.1920265"},{"issue":"6","key":"16_CR4","doi-asserted-by":"publisher","first-page":"811","DOI":"10.1109\/TDSC.2012.75","volume":"9","author":"Z Chu","year":"2012","unstructured":"Chu, Z., Gianvecchio, S., Wang, H., Jajodia, S.: Detecting automation of twitter accounts: are you a human, bot, or cyborg? IEEE Trans. Dependable Secure Comput. 9(6), 811\u2013824 (2012)","journal-title":"IEEE Trans. Dependable Secure Comput."},{"issue":"2","key":"16_CR5","doi-asserted-by":"publisher","first-page":"40","DOI":"10.1109\/MIC.2019.2893137","volume":"23","author":"F Daniel","year":"2019","unstructured":"Daniel, F., Cappiello, C., Benatallah, B.: Bots acting like humans: understanding and preventing harm. IEEE Internet Comput. 23(2), 40\u201349 (2019)","journal-title":"IEEE Internet Comput."},{"issue":"7","key":"16_CR6","doi-asserted-by":"publisher","first-page":"96","DOI":"10.1145\/2818717","volume":"59","author":"E Ferrara","year":"2016","unstructured":"Ferrara, E., Varol, O., Davis, C., Menczer, F., Flammini, A.: The rise of social bots. Commun. ACM 59(7), 96\u2013104 (2016)","journal-title":"Commun. ACM"},{"issue":"11","key":"16_CR7","doi-asserted-by":"publisher","first-page":"e0207595","DOI":"10.1371\/journal.pone.0207595","volume":"13","author":"F Gong","year":"2018","unstructured":"Gong, F., Ma, Y., Gong, W., Li, X., Li, C., Yuan, X.: Neo4j graph database realizes efficient storage performance of oilfield ontology. PLoS ONE 13(11), e0207595 (2018)","journal-title":"PLoS ONE"},{"key":"16_CR8","doi-asserted-by":"publisher","first-page":"312","DOI":"10.1016\/j.ins.2018.08.019","volume":"467","author":"S Kudugunta","year":"2018","unstructured":"Kudugunta, S., Ferrara, E.: Deep neural networks for bot detection. Inf. Sci. 467, 312\u2013322 (2018)","journal-title":"Inf. Sci."},{"unstructured":"Lin, P.C., Huang, P.M.: A study of effective features for detecting long-surviving twitter spam accounts. In: 2013 15th International Conference on Advanced Communications Technology (ICACT), pp. 841\u2013846. IEEE (2013)","key":"16_CR9"},{"issue":"2","key":"16_CR10","doi-asserted-by":"publisher","first-page":"196","DOI":"10.1080\/10584609.2017.1334018","volume":"35","author":"DB Margolin","year":"2018","unstructured":"Margolin, D.B., Hannak, A., Weber, I.: Political fact-checking on twitter: when do corrections have an effect? Political Commun. 35(2), 196\u2013219 (2018)","journal-title":"Political Commun."},{"issue":"2","key":"16_CR11","doi-asserted-by":"publisher","first-page":"103","DOI":"10.1016\/j.colegn.2014.03.003","volume":"21","author":"CR Moorley","year":"2014","unstructured":"Moorley, C.R., Chinn, T.: Nursing and twitter: creating an online community using hashtags. Collegian 21(2), 103\u2013109 (2014)","journal-title":"Collegian"},{"unstructured":"Newberg, M.: As many as 48 million twitter accounts aren\u2019t people says study. https:\/\/www.cnbc.com\/michael-newberg\/. Accessed 12 Dec 2019","key":"16_CR12"},{"unstructured":"Pozzana, I., Ferrara, E.: Measuring bot and human behavioral dynamics. arXiv preprint arXiv:1802.04286 (2018)","key":"16_CR13"},{"unstructured":"Sendible: Twitter hashtags: Guide to finding and using the right ones. https:\/\/www.sendible.com\/insights\/twitter-hashtags. Accessed 19 Oct 2019","key":"16_CR14"},{"key":"16_CR15","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"301","DOI":"10.1007\/978-3-642-23644-0_16","volume-title":"Recent Advances in Intrusion Detection","author":"J Song","year":"2011","unstructured":"Song, J., Lee, S., Kim, J.: Spam filtering in twitter using sender-receiver relationship. In: Sommer, R., Balzarotti, D., Maier, G. (eds.) RAID 2011. LNCS, vol. 6961, pp. 301\u2013317. Springer, Heidelberg (2011). https:\/\/doi.org\/10.1007\/978-3-642-23644-0_16"},{"doi-asserted-by":"crossref","unstructured":"Trinius, P., Holz, T., G\u00f6bel, J., Freiling, F.C.: Visual analysis of malware behavior using treemaps and thread graphs. In: 2009 6th International Workshop on Visualization for Cyber Security, pp. 33\u201338. IEEE (2009)","key":"16_CR16","DOI":"10.1109\/VIZSEC.2009.5375540"},{"key":"16_CR17","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"335","DOI":"10.1007\/978-3-642-13739-6_25","volume-title":"Data and Applications Security and Privacy XXIV","author":"AH Wang","year":"2010","unstructured":"Wang, A.H.: Detecting spam bots in online social networking sites: a machine learning approach. In: Foresti, S., Jajodia, S. (eds.) DBSec 2010. LNCS, vol. 6166, pp. 335\u2013342. Springer, Heidelberg (2010). https:\/\/doi.org\/10.1007\/978-3-642-13739-6_25"},{"unstructured":"Wright, J., Engineer, P.R., Anise, O., et al.: Don\u2019t@ me: Hunting twitterbots at scale. Blackhat USA 2018 (2018)","key":"16_CR18"}],"container-title":["Lecture Notes in Computer Science","Internet of Things, Smart Spaces, and Next Generation Networks and Systems"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-65726-0_16","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,7]],"date-time":"2024-03-07T17:56:31Z","timestamp":1709834191000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-65726-0_16"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020]]},"ISBN":["9783030657253","9783030657260"],"references-count":18,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-65726-0_16","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2020]]},"assertion":[{"value":"22 December 2020","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"NEW2AN","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Next Generation Wired\/Wireless Networking","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"St. Petersburg","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Russia","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2020","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"26 August 2020","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"28 August 2020","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"20","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"new2an2020","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/www.new2an.org\/#\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Single-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"EDAS","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"225","order":3,"name":"number_of_submissions_sent_for_review","label":"Number of Submissions Sent for Review","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"74","order":4,"name":"number_of_full_papers_accepted","label":"Number of Full Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"0","order":5,"name":"number_of_short_papers_accepted","label":"Number of Short Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"33% - The value is computed by the equation \"Number of Full Papers Accepted \/ Number of Submissions Sent for Review * 100\" and then rounded to a whole number.","order":6,"name":"acceptance_rate_of_full_papers","label":"Acceptance Rate of Full Papers","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"3","order":7,"name":"average_number_of_reviews_per_paper","label":"Average Number of Reviews per Paper","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"4.6","order":8,"name":"average_number_of_papers_per_reviewer","label":"Average Number of Papers per Reviewer","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"No","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"The conference was held virtually due to the COVID-19 pandemic.","order":10,"name":"additional_info_on_review_process","label":"Additional Info on Review Process","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}