{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,21]],"date-time":"2026-05-21T04:29:13Z","timestamp":1779337753136,"version":"3.51.4"},"publisher-location":"New York, NY, USA","reference-count":64,"publisher":"ACM","license":[{"start":{"date-parts":[[2025,4,25]],"date-time":"2025-04-25T00:00:00Z","timestamp":1745539200000},"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":[[2025,4,26]]},"DOI":"10.1145\/3706599.3720152","type":"proceedings-article","created":{"date-parts":[[2025,4,23]],"date-time":"2025-04-23T20:28:23Z","timestamp":1745440103000},"page":"1-7","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":5,"title":["User Narrative Study for Dealing with Deceptive Chatbot Scams Aiming to Online Fraud"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-8649-4886","authenticated-orcid":false,"given":"Omid","family":"Veisi","sequence":"first","affiliation":[{"name":"School of Information, University of Toronto, Toronto, Ontario, Canada"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0000-0156-5896","authenticated-orcid":false,"given":"Khoshnaz","family":"Kazemian","sequence":"additional","affiliation":[{"name":"Human Computer Interaction, University of Siegen, Siegen, Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4502-3658","authenticated-orcid":false,"given":"Farzaneh","family":"Gerami","sequence":"additional","affiliation":[{"name":"Human Computer Interaction, University of Siegen, Siegen, NRW\/Siegen, Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0008-6347-4613","authenticated-orcid":false,"given":"Mahya","family":"Mirzaee Kharghani","sequence":"additional","affiliation":[{"name":"Human Computer Interaction, University of Siegen, Siegen, Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0009-8836-8291","authenticated-orcid":false,"given":"Sima","family":"Amirkhani","sequence":"additional","affiliation":[{"name":"University of Siegen, Siegen, Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8916-3524","authenticated-orcid":false,"given":"Delong K.","family":"Du","sequence":"additional","affiliation":[{"name":"Human Computer Interaction, University of Siegen, Siegen, North Rhine-Westphalia, Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7785-5061","authenticated-orcid":false,"given":"Gunnar","family":"Stevens","sequence":"additional","affiliation":[{"name":"Information Systems, University of Siegen, Siegen, Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6470-1151","authenticated-orcid":false,"given":"Alexander","family":"Boden","sequence":"additional","affiliation":[{"name":"Institute for Consumer Informatics, Bonn-Rhein-Sieg University of Applied Science, Sankt Augustin, NRW, Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2025,4,25]]},"reference":[{"key":"e_1_3_3_1_2_2","doi-asserted-by":"publisher","unstructured":"Nitin Agarwal Samer Al-Khateeb Rick Galeano and Rebecca Goolsby. 2017. Examining the use of botnets and their evolution in propaganda dissemination. Defence Strategic Communications 2 1 (2017) 87\u2013112. 10.30966\/2018.riga.2.4","DOI":"10.30966\/2018.riga.2.4"},{"key":"e_1_3_3_1_3_2","doi-asserted-by":"publisher","DOI":"10.1109\/ICDMW.2015.41"},{"key":"e_1_3_3_1_4_2","doi-asserted-by":"crossref","unstructured":"Samer Al-Khateeb and Nitin Agarwal. 2016. UNDERSTANDING STRATEGIC INFORMATION MANOEUVRES IN NETWORK MEDIA TO ADVANCE CYBER OPERATIONS: A CASE STUDY ANALYSING PRO-RUSSIAN SEPARATISTS\u2019CYBER INFORMATION OPERATIONS IN CRIMEAN WATER CRISIS. Journal on Baltic Security 2 1 (2016).","DOI":"10.1515\/jobs-2016-0028"},{"key":"e_1_3_3_1_5_2","doi-asserted-by":"publisher","unstructured":"Fatemeh Alizadeh Gunnar Stevens Timo Jakobi and Jana Kr\u00fcger. 2023. Catch Me If You Can: \"Delaying\" as a Social Engineering Technique in the Post-Attack Phase. Proc. ACM Hum.-Comput. Interact. 7 CSCW1 Article 32 (apr 2023) 25\u00a0pages. 10.1145\/3579465","DOI":"10.1145\/3579465"},{"key":"e_1_3_3_1_6_2","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-31642-5_8"},{"key":"e_1_3_3_1_7_2","doi-asserted-by":"publisher","DOI":"10.1145\/3613905.3651004"},{"key":"e_1_3_3_1_8_2","doi-asserted-by":"crossref","unstructured":"Dipto Barman Ziyi Guo and Owen Conlan. 2024. The dark side of language models: Exploring the potential of llms in multimedia disinformation generation and dissemination. Machine Learning with Applications (2024) 100545.","DOI":"10.1016\/j.mlwa.2024.100545"},{"key":"e_1_3_3_1_9_2","unstructured":"Tea\u00a0Torbenfeldt Bengtsson and Ditte Andersen. 2020. Narrative analysis: Thematic structural and performative. Qualitative Analysis: Eight Approaches for the Social Sciences; J\u00e4rvinen M. Mik-Meyer N. Eds (2020) 265\u2013282."},{"key":"e_1_3_3_1_10_2","doi-asserted-by":"publisher","unstructured":"Ivo Benke Michael\u00a0Thomas Knierim and Alexander Maedche. 2020. Chatbot-Based Emotion Management for Distributed Teams: A Participatory Design Study. Proc. ACM Hum.-Comput. Interact. 4 CSCW2 Article 118 (oct 2020) 30\u00a0pages. 10.1145\/3415189","DOI":"10.1145\/3415189"},{"key":"e_1_3_3_1_11_2","doi-asserted-by":"publisher","unstructured":"Alexander Bilz Lynsay\u00a0A Shepherd and Graham\u00a0I Johnson. 2023. Tainted Love: A Systematic Review of Online Romance Fraud. arXiv preprint arXiv:https:\/\/arXiv.org\/abs\/2303.00070 (2023). 10.48550\/arXiv.2303.00070","DOI":"10.48550\/arXiv.2303.00070"},{"key":"e_1_3_3_1_12_2","doi-asserted-by":"publisher","DOI":"10.4324\/9781315679877"},{"key":"e_1_3_3_1_13_2","doi-asserted-by":"publisher","unstructured":"Ana\u00a0Paula Chaves Jesse Egbert Toby Hocking Eck Doerry and Marco\u00a0Aurelio Gerosa. 2022. Chatbots Language Design: The Influence of Language Variation on User Experience with Tourist Assistant Chatbots. ACM Trans. Comput.-Hum. Interact. 29 2 Article 13 (jan 2022) 38\u00a0pages. 10.1145\/3487193","DOI":"10.1145\/3487193"},{"key":"e_1_3_3_1_14_2","doi-asserted-by":"publisher","DOI":"10.1145\/3041021.3051114"},{"key":"e_1_3_3_1_15_2","doi-asserted-by":"publisher","DOI":"10.1145\/3607199.3607237"},{"key":"e_1_3_3_1_16_2","doi-asserted-by":"publisher","DOI":"10.1145\/3491102.3517475"},{"key":"e_1_3_3_1_17_2","doi-asserted-by":"publisher","DOI":"10.1109\/EuroSP57164.2023.00012"},{"key":"e_1_3_3_1_18_2","unstructured":"Joel Cherus Jason Githeko Joseph Siror and Kageni Njagi. 2014. Identity fraud: A literature review and future research directions. (2014). http:\/\/repository.must.ac.ke\/handle\/123456789\/229"},{"key":"e_1_3_3_1_19_2","doi-asserted-by":"crossref","unstructured":"Ilias Dimitriadis Marinos Poiitis Christos Faloutsos and Athena Vakali. 2022. TG-OUT: temporal outlier patterns detection in Twitter attribute induced graphs. World Wide Web 25 6 (2022) 2429\u20132453.","DOI":"10.1007\/s11280-021-00986-0"},{"key":"e_1_3_3_1_20_2","doi-asserted-by":"publisher","DOI":"10.1145\/3308560.3317599"},{"key":"e_1_3_3_1_21_2","doi-asserted-by":"publisher","DOI":"10.1145\/3528228.3528406"},{"key":"e_1_3_3_1_22_2","doi-asserted-by":"publisher","DOI":"10.1145\/3411764.3445129"},{"key":"e_1_3_3_1_23_2","doi-asserted-by":"publisher","DOI":"10.1145\/3313831.3376785"},{"key":"e_1_3_3_1_24_2","doi-asserted-by":"publisher","DOI":"10.1145\/3173386.3176970"},{"key":"e_1_3_3_1_25_2","doi-asserted-by":"publisher","DOI":"10.1145\/3064663.3064672"},{"key":"e_1_3_3_1_26_2","unstructured":"Chaitrali\u00a0S Kulkarni Amruta\u00a0U Bhavsar Savita\u00a0R Pingale and Satish\u00a0S Kumbhar. 2017. BANK CHAT BOT\u2013an intelligent assistant system using NLP and machine learning. International Research Journal of Engineering and Technology 4 5 (2017) 2374\u20132377."},{"key":"e_1_3_3_1_27_2","doi-asserted-by":"publisher","DOI":"10.1145\/3290605.3300932"},{"key":"e_1_3_3_1_28_2","doi-asserted-by":"publisher","DOI":"10.1145\/3404835.3463042"},{"key":"e_1_3_3_1_29_2","unstructured":"Yixuan Li Xuelin Liu Xiaoyang Wang Shiqi Wang and Weisi Lin. 2024. FakeBench: Uncover the Achilles\u2019 Heels of Fake Images with Large Multimodal Models. arXiv preprint arXiv:https:\/\/arXiv.org\/abs\/2404.13306 (2024)."},{"key":"e_1_3_3_1_30_2","doi-asserted-by":"publisher","DOI":"10.1145\/3025453.3025830"},{"key":"e_1_3_3_1_31_2","doi-asserted-by":"publisher","DOI":"10.1145\/3292522.3326015"},{"key":"e_1_3_3_1_32_2","doi-asserted-by":"publisher","DOI":"10.1109\/ASONAM.2016.7752287"},{"key":"e_1_3_3_1_33_2","doi-asserted-by":"publisher","DOI":"10.1145\/3290607.3313084"},{"key":"e_1_3_3_1_34_2","doi-asserted-by":"publisher","DOI":"10.1145\/2851581.2892311"},{"key":"e_1_3_3_1_35_2","doi-asserted-by":"publisher","DOI":"10.1145\/3317549.3323407"},{"key":"e_1_3_3_1_36_2","doi-asserted-by":"publisher","unstructured":"Anuar Nawawi and Ahmad Saiful Azlin\u00a0Puteh Salin. 2018. Internal control and employees\u2019 occupational fraud on expenditure claims. Journal of Financial Crime 25 3 (2018) 891\u2013906. 10.1108\/jfc-07-2017-0067","DOI":"10.1108\/jfc-07-2017-0067"},{"key":"e_1_3_3_1_37_2","doi-asserted-by":"publisher","DOI":"10.1145\/3426020.3426134"},{"key":"e_1_3_3_1_38_2","doi-asserted-by":"publisher","DOI":"10.1145\/3461778.3462114"},{"key":"e_1_3_3_1_39_2","volume-title":"AI-Powered Fraud and the Erosion of Online Survey Integrity: An Analysis of 31 Fraud Detection Strategies","author":"Pinz\u00f3n Natalia","year":"2023","unstructured":"Natalia Pinz\u00f3n, Vikram Koundinya, Ryan Galt, William Dowling, Marcela Boukloh, Namah\u00a0C Taku-Forchu, Tracy Schohr, Leslie Roche, Samuel Ikendi, Mark\u00a0H Cooper, et\u00a0al. 2023. AI-Powered Fraud and the Erosion of Online Survey Integrity: An Analysis of 31 Fraud Detection Strategies. Technical Report. Center for Open Science."},{"key":"e_1_3_3_1_40_2","volume-title":"NDSS","author":"Pitsillidis Andreas","year":"2010","unstructured":"Andreas Pitsillidis, Kirill Levchenko, Christian Kreibich, Chris Kanich, Geoffrey\u00a0M Voelker, Vern Paxson, Nicholas Weaver, and Stefan Savage. 2010. Botnet Judo: Fighting Spam with Itself. In NDSS."},{"key":"e_1_3_3_1_41_2","doi-asserted-by":"publisher","DOI":"10.1145\/3123818.3123826"},{"key":"e_1_3_3_1_42_2","doi-asserted-by":"crossref","unstructured":"Sanjeev Rao Anil\u00a0Kumar Verma and Tarunpreet Bhatia. 2021. A review on social spam detection: Challenges open issues and future directions. Expert Systems with Applications 186 (2021) 115742.","DOI":"10.1016\/j.eswa.2021.115742"},{"key":"e_1_3_3_1_43_2","doi-asserted-by":"publisher","DOI":"10.1145\/1963192.1963301"},{"key":"e_1_3_3_1_44_2","doi-asserted-by":"crossref","unstructured":"Mike Richards Kevin Waugh Mark Slaymaker Marian Petre John Woodthorpe and Daniel Gooch. 2024. Bob or Bot: Exploring ChatGPT\u2019s Answers to University Computer Science Assessment. ACM Transactions on Computing Education 24 1 (2024) 1\u201332.","DOI":"10.1145\/3633287"},{"key":"e_1_3_3_1_45_2","doi-asserted-by":"crossref","unstructured":"Christopher Rodriguez and Daniel\u00a0M Oppenheimer. 2024. Creating a Bot-tleneck for malicious AI: Psychological methods for bot detection. Behavior Research Methods (2024) 1\u201318.","DOI":"10.2139\/ssrn.4411054"},{"key":"e_1_3_3_1_46_2","doi-asserted-by":"publisher","DOI":"10.1109\/SP54263.2024.00182"},{"key":"e_1_3_3_1_47_2","first-page":"342","volume-title":"The SAGE handbook of social media research methods","author":"Rubin Victoria\u00a0L","year":"2017","unstructured":"Victoria\u00a0L Rubin. 2017. Deception detection and rumor debunking for social media. In The SAGE handbook of social media research methods. Sage London, 342."},{"key":"e_1_3_3_1_48_2","unstructured":"Johnny Salda\u00f1a. 2021. The coding manual for qualitative researchers. (2021)."},{"key":"e_1_3_3_1_49_2","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2021.sigdial-1.1"},{"key":"e_1_3_3_1_50_2","doi-asserted-by":"publisher","unstructured":"Joseph Seering Juan\u00a0Pablo Flores Saiph Savage and Jessica Hammer. 2018. The Social Roles of Bots: Evaluating Impact of Bots on Discussions in Online Communities. Proc. ACM Hum.-Comput. Interact. 2 CSCW Article 157 (nov 2018) 29\u00a0pages. 10.1145\/3274426","DOI":"10.1145\/3274426"},{"key":"e_1_3_3_1_51_2","doi-asserted-by":"publisher","DOI":"10.1145\/3290605.3300680"},{"key":"e_1_3_3_1_52_2","doi-asserted-by":"publisher","unstructured":"Benjamin\u00a0T Sheehan. 2018. Customer service chatbots: Anthropomorphism adoption and word of mouth. Ph.\u00a0D. Dissertation. Queensland University of Technology. 10.5204\/thesis.eprints.121188","DOI":"10.5204\/thesis.eprints.121188"},{"key":"e_1_3_3_1_53_2","doi-asserted-by":"publisher","DOI":"10.1177\/026858090702200237"},{"key":"e_1_3_3_1_54_2","doi-asserted-by":"publisher","unstructured":"Gunnar Stevens Alexander Boden Fatemeh Alizadeh Timo Jakobi Michelle Walther and Jana Kr\u00fcger. 2022. Wie gehen verbraucher: innen mit onlinebetrug um?\u2013Eine literatur\u00fcbersicht. R\u00fcdiger Bayerl (Hg.): Handbuch Cyberkriminologie (2022) 1\u201322. 10.1007\/978-3-658-35450-342-1","DOI":"10.1007\/978-3-658-35450-342-1"},{"key":"e_1_3_3_1_55_2","doi-asserted-by":"crossref","unstructured":"Zachary\u00a0K Stine and Nitin Agarwal. 2019. Characterizing the language-production dynamics of social media users. Social Network Analysis and Mining 9 (2019) 1\u201313.","DOI":"10.1007\/s13278-019-0605-7"},{"key":"e_1_3_3_1_56_2","doi-asserted-by":"publisher","DOI":"10.5555\/3382225.3382346"},{"key":"e_1_3_3_1_57_2","doi-asserted-by":"publisher","DOI":"10.1145\/3341161.3343852"},{"key":"e_1_3_3_1_58_2","unstructured":"Hochschule Bonn-Rhein-Sieg Universit\u00e4t Siegen open.INC GmbH. 2024. AntiScam: Abwehr von Kommunikationsbetrug zum Schutz der digitalen Identit\u00e4t. https:\/\/www.forschung-it-sicherheit-kommunikationssysteme.de\/projekte\/antiscam. Accessed: 2025-02-28."},{"key":"e_1_3_3_1_59_2","doi-asserted-by":"publisher","DOI":"10.1145\/3613904.3642335"},{"key":"e_1_3_3_1_60_2","unstructured":"Max Weiss. 2019. Deepfake bot submissions to federal public comment websites cannot be distinguished from human submissions. Technology Science 2019121801 (2019)."},{"key":"e_1_3_3_1_61_2","doi-asserted-by":"crossref","unstructured":"Qian Xiao and Elisa Bertino. 2017. Detecting deceptive engagement in social media by temporal pattern analysis of user behaviors: a survey. Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery 7 5 (2017) e1210.","DOI":"10.1002\/widm.1210"},{"key":"e_1_3_3_1_62_2","doi-asserted-by":"crossref","unstructured":"Semih Yagcioglu Mehmet\u00a0Saygin Seyfioglu Begum Citamak Batuhan Bardak Seren Guldamlasioglu Azmi Yuksel and Emin\u00a0Islam Tatli. 2019. Detecting cybersecurity events from noisy short text. arXiv preprint arXiv:https:\/\/arXiv.org\/abs\/1904.05054 (2019).","DOI":"10.18653\/v1\/N19-1138"},{"key":"e_1_3_3_1_63_2","doi-asserted-by":"publisher","unstructured":"Haifeng Yu. 2011. Sybil defenses via social networks: a tutorial and survey. ACM SIGACT News 42 3 (2011) 80\u2013101. 10.1145\/2034575.2034593","DOI":"10.1145\/2034575.2034593"},{"key":"e_1_3_3_1_64_2","doi-asserted-by":"publisher","DOI":"10.1145\/3485447.3512230"},{"key":"e_1_3_3_1_65_2","doi-asserted-by":"crossref","unstructured":"Mu Zhu Ahmed\u00a0H Anwar Zelin Wan Jin-Hee Cho Charles\u00a0A Kamhoua and Munindar\u00a0P Singh. 2021. A survey of defensive deception: Approaches using game theory and machine learning. IEEE Communications Surveys & Tutorials 23 4 (2021) 2460\u20132493.","DOI":"10.1109\/COMST.2021.3102874"}],"event":{"name":"CHI EA '25: Extended Abstracts of the CHI Conference on Human Factors in Computing Systems","location":"Yokohama Japan","acronym":"CHI EA '25","sponsor":["SIGCHI ACM Special Interest Group on Computer-Human Interaction"]},"container-title":["Proceedings of the Extended Abstracts of the CHI Conference on Human Factors in Computing Systems"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3706599.3720152","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3706599.3720152","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,19]],"date-time":"2025-06-19T01:18:50Z","timestamp":1750295930000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3706599.3720152"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,4,25]]},"references-count":64,"alternative-id":["10.1145\/3706599.3720152","10.1145\/3706599"],"URL":"https:\/\/doi.org\/10.1145\/3706599.3720152","relation":{},"subject":[],"published":{"date-parts":[[2025,4,25]]},"assertion":[{"value":"2025-04-25","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}