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Research Articles

Unveiling Digital Manipulation and Persuasion in e-Commerce: A Systematic Literature Review of Dark Patterns and Digital Nudging

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References

  • Adam, A., and J. D. Jensen. 2016. What is the effectiveness of obesity related interventions at retail grocery stores and supermarkets?—A systematic review. BMC Public Health 16 (1):1247. doi:10.1186/s12889-016-3985-x.
  • Arno, A., and S. Thomas. 2016. The efficacy of nudge theory strategies in influencing adult dietary behaviour: A systematic review and meta-analysis. BMC Public Health 16 (1):676. doi:10.1186/s12889-016-3272-x.
  • Aziz, R., and Z. Rahman. 2022. Brand hate: A literature review and future research agenda. European Journal of Marketing 56 (7):2014–51. doi:10.1108/EJM-03-2021-0189.
  • Bammert, S., U. M. König, M. Roeglinger, and T. Wruck. 2020. Exploring potentials of digital nudging for business processes. Business Process Management Journal 26 (6):1329–47. doi:10.1108/BPMJ-07-2019-0281.
  • Baroni, L. A., A. A. Puska, L. C. de Castro Salgado, and R. Pereira. 2021. Dark patterns: Towards a socio-technical approach. Proceedings of the XX Brazilian Symposium on Human Factors in Computing Systems, 1–7.
  • Bartmann, M. 2022. The ethics of AI-powered climate nudging—How much AI should we use to save the planet? Sustainability 14 (9):5153. doi:10.3390/su14095153.
  • Bauer, J. M., R. Bergstrøm, and R. Foss-Madsen. 2021. Are you sure, you want a cookie?–The effects of choice architecture on users’ decisions about sharing private online data. Computers in Human Behavior 120:106729. doi:10.1016/j.chb.2021.106729.
  • Bawa, A., P. Khadpe, P. Joshi, K. Bali, and M. Choudhury. 2020. Do multilingual users prefer chat-bots that code-mix? Let’s nudge and find out! Proceedings of the ACM on Human-Computer Interaction 4:1–23. doi:10.1145/3392846.
  • Berger, M., T. Lange, and B. Stahl. 2022. A digital push with real impact–Mapping effective digital nudging elements to contexts to promote environmentally sustainable behavior. Journal of Cleaner Production 380:134716. doi:10.1016/j.jclepro.2022.134716.
  • Bergram, K., M. Djokovic, V. Bezençon, and A. Holzer. 2022. The digital landscape of nudging: A systematic literature review of empirical research on digital nudges. Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems, 1–16. doi:10.1145/3491102.3517638.
  • Bermejo Fernandez, C., D. Chatzopoulos, D. Papadopoulos, and P. Hui. 2021. This website uses nudging: Mturk workers’ behaviour on cookie consent notices. Proceedings of the ACM on Human-Computer Interaction 5 (CSCW2):1–22. doi:10.1145/3476087.
  • Bhoot, A., M. A. Shinde, and W. P. Mishra. 2020. Towards the identification of dark patterns: An analysis based on end-user reactions. IndiaHCI’20: Proceedings of the. 11th Indian Conference on Human-Computer Interaction, 24–33. doi:10.1145/3429290.3429293.
  • Bongard-Blanchy, K., A. Rossi, S. Rivas, S. Doublet, V. Koenig, and G. Lenzini. 2021. ” I am definitely manipulated, even when I am aware of it. It’s ridiculous!”—Dark patterns from the end-user perspective. Designing Interactive Systems Conference 2021, 763–776. doi:10.1145/3461778.3462086.
  • Boring, S., S. Greenberg, J. Vermeulen, J. Dostal, and N. Marquardt. 2014. The dark patterns of proxemic sensing. Computer Magazine. 47 (8):56–60. doi:10.1109/MC.2014.223.
  • Bösch, C., B. Erb, F. Kargl, H. Kopp, and S. Pfattheicher. 2016. Tales from the dark side: Privacy dark strategies and privacy dark patterns. Proceedings on Privacy Enhancing Technologies 2016 (4):237–54. doi:10.1515/popets-2016-0038.
  • Brakus, J. J., B. H. Schmitt, and L. Zarantonello. 2009. Brand experience: What is it? How is it measured? Does it affect loyalty? Journal of Marketing 73 (3):52–68. doi:10.1509/jmkg.73.3.52.
  • Brignull, H. 2010a. Deceptive design—User interfaces crafted to trick you. https://www.deceptive.design/
  • Brignull, H. 2010b. Deceptive patterns—Types of deceptive pattern. https://www.deceptive.design/types
  • Brignull, H., M. Leiser, C. Santos, and K. Doshi. 2024. Deceptive patterns—Types of deceptive pattern. Deceptive.Design. https://www.deceptive.design/
  • Caraban, A., E. Karapanos, D. Gonçalves, and P. Campos. 2019. 23 ways to nudge: A review of technology-mediated nudging in human-computer interaction. Proceedings of the 2019 CHI. Conference on Human Factors in Computing Systems, 1–15. doi:10.1145/3290605.3300733.
  • Chivukula, S. S., C. Watkins, L. McKay, and C. M. Gray. 2019. “Nothing comes before profit” asshole design in the wild. Extended Abstracts of the 2019 CHI Conference on Human Factors in Computing Systems, 1–6.
  • Chivukula, S. S., J. Brier, and C. M. Gray. 2018. Dark intentions or persuasion? UX designers’ activation of stakeholder and user values. Proceedings of the 2018 ACM Conference Companion Publication on Designing Interactive Systems, 87–91.
  • Cornelius, K. B. 2019. Zombie contracts, dark patterns of design, and’documentisation. Internet Policy Review 8 (2):1–25. doi:10.14763/2019.2.1412.
  • Dalecke, S., and R. Karlsen. 2020. Designing dynamic and personalized nudges. Proceedings of the 10th International Conference on Web Intelligence, Mining and Semantics, 139–148. doi:10.1145/3405962.3405975.
  • Dennis, A. R., L. Yuan, X. Feng, E. Webb, and C. J. Hsieh. 2020. Digital nudging: Numeric and semantic priming in e-commerce. Journal of Management Information Systems 37 (1):39–65. doi:10.1080/07421222.2019.1705505.
  • Dhaigude, S. A., and B. C. Mohan. 2023. Logistics service quality in online shopping: A bibliometric analysis. Journal of Internet Commerce 22 (1):157–88. doi:10.1080/15332861.2021.2011598.
  • Di Geronimo, L., L. Braz, E. Fregnan, F. Palomba, and A. Bacchelli. 2020. UI dark patterns and where to find them: A study on mobile applications and user perception. Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems, 1–14.
  • Díaz Ferreyra, N. E., T. Kroll, E. Aïmeur, S. Stieglitz, and M. Heisel. 2020. Preventative nudges: Introducing risk cues for supporting online self-disclosure decisions. Information 11 (8):399. doi:10.3390/info11080399.
  • Fanghella, V., G. d‘Adda, and M. Tavoni. 2019. On the use of nudges to affect spillovers in environmental behaviors. Frontiers in Psychology 10:61. doi:10.3389/fpsyg.2019.00061.
  • Fansher, M., S. S. Chivukula, and C. M. Gray. 2018. # Darkpatterns: UX practitioner conversations about ethical design. Extended Abstracts of the 2018 CHI Conference on Human Factors in Computing Systems, 1–6.
  • Fechner, W., and E. Herder. 2021. Digital nudging for more ecological supermarket purchases. Adjunct Proceedings of the 29th ACM Conference on User Modeling, Adaptation and Personalization, 284–292. doi:10.1145/3450614.3464620.
  • Filimonau, V., C. Lemmer, D. Marshall, and G. Bejjani. 2017. ‘Nudging’as an architect of more responsible consumer choice in food service provision: The role of restaurant menu design. Journal of Cleaner Production 144:161–70. doi:10.1016/j.jclepro.2017.01.010.
  • Fitton, D., and J. C. Read. 2019. Creating a framework to support the critical consideration of dark design aspects in free-to-play apps. Proceedings of the 18th ACM International Conference on Interaction Design and Children, 407–418. doi:10.1145/3311927.3323136.
  • Gray, C. M., J. Chen, S. S. Chivukula, and L. Qu. 2021. End user accounts of dark patterns as felt manipulation. Proceedings of the ACM on Human-Computer Interaction 5 (CSCW2):1–25. doi:10.1145/3479516.
  • Gray, C. M., S. S. Chivukula, and A. Lee. 2020. What kind of work do “Asshole designers” create? Describing properties of ethical concern on reddit. Proceedings of the 2020 ACM. Designing Interactive Systems Conference, 61–73. doi:10.1145/3357236.3395486.
  • Gray, C. M., Y. Kou, B. Battles, J. Hoggatt, and A. L. Toombs. 2018. The dark (patterns) side of UX design. Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems, 1–14. doi:10.1145/3173574.3174108.
  • Greenberg, S., S. Boring, J. Vermeulen, and J. Dostal. 2014. Dark patterns in proxemic interactions: A critical perspective. Proceedings of the 2014 Conference on Designing Interactive Systems, 523–32.
  • Gunawan, J., A. Pradeep, D. Choffnes, W. Hartzog, and C. Wilson. 2021. A comparative study of dark patterns across web and mobile modalities. Proceedings of the ACM on Human-Computer Interaction, 5(CSCW2), 1–29. doi:10.1145/3479521.
  • Habib, H., M. Li, E. Young, and L. Cranor. 2022. “Okay, whatever”: An evaluation of cookie consent interfaces. Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems, 1–27. doi:10.1145/3491102.3501985.
  • Helberger, N., M. Sax, J. Strycharz, and H.-W. Micklitz. 2022. Choice architectures in the digital economy: Towards a new understanding of digital vulnerability. Journal of Consumer Policy 45 (2):175–200. doi:10.1007/s10603-021-09500-5.
  • Ho, N.-K M. 2022. Luxury values perceptions in Chinese and English: Deviation from national cultures. Journal of International Consumer Marketing 34 (3):255–69. doi:10.1080/08961530.2021.1950094.
  • Hummel, D., and A. Maedche. 2019. How effective is nudging? A quantitative review on the effect sizes and limits of empirical nudging studies. Journal of Behavioral and Experimental Economics 80:47–58. doi:10.1016/j.socec.2019.03.005.
  • Ioannou, A., I. Tussyadiah, G. Miller, S. Li, and M. Weick. 2021. Privacy nudges for disclosure of personal information: A systematic literature review and meta-analysis. PLOS One 16 (8):e0256822. doi:10.1371/journal.pone.0256822.
  • Jesse, M., and D. Jannach. 2021. Digital nudging with recommender systems: Survey and future directions. Computers in Human Behavior Reports 3:100052. doi:10.1016/j.chbr.2020.100052.
  • Jesse, M., D. Jannach, and B. Gula. 2021. Digital nudging for online food choices. Frontiers in Psychology 12:729589. doi:10.3389/fpsyg.2021.729589.
  • Kampanos, G., and S. F. Shahandashti. 2021. Accept all: The landscape of cookie banners in Greece and the UK. ICT Systems Security and Privacy Protection: 36th IFIP TC 11 International Conference, SEC 2021, Oslo, Norway, June 22–24, 2021, 213–27.
  • Kaushal, R., S. Chandok, P. Jain, P. Dewan, N. Gupta, and P. Kumaraguru. 2017. Nudging nemo: Helping users control linkability across social networks. Social Informatics: 9th International Conference, SocInfo 2017, Oxford, UK, September 13–15, 2017, Proceedings, Part II 9, 477–490.
  • Keenan, M. 2022. Global Ecommerce: Stats and trends to watch (2023). Shopify Plus. https://www.shopify.com/in/enterprise/global-ecommerce-statistics
  • Kim, W. G., S. G. Pillai, K. Haldorai, and W. Ahmad. 2021. Dark patterns used by online travel agency websites. Annals of Tourism Research 88 (C):103055. doi:10.1016/j.annals.2020.103055.
  • Kollnig, K., S. Datta, and M. Van Kleek. 2021. I want my app that way: Reclaiming sovereignty over personal devices. Extended Abstracts of the 2021 CHI Conference on Human Factors in Computing Systems, 1–8. doi:10.1145/3411763.3451632.
  • Krisam, C., H. Dietmann, M. Volkamer, and O. Kulyk. 2021. Dark patterns in the wild: Review of cookie disclaimer designs on top 500 German websites. Proceedings of the 2021 European Symposium on Usable Security, 1–8. doi:10.1145/3481357.3481516.
  • Kroll, T., and S. Stieglitz. 2021. Digital nudging and privacy: Improving decisions about self-disclosure in social networks. Behaviour & Information Technology 40 (1):1–19. doi:10.1080/0144929X.2019.1584644.
  • Lacey, C., and C. Caudwell. 2019. Cuteness as a ‘dark pattern’in home robots. 2019 14th ACM/IEEE International Conference on Human-Robot Interaction (HRI), 374–381. ACM. doi:10.1109/HRI.2019.8673274.
  • Lu, S., G. Chen, and K. Wang. 2021. Overt or covert? Effect of different digital nudging on consumers’ customization choices. Nankai Business Review International 12 (1):56–74. doi:10.1108/NBRI-12-2019-0073.
  • Luguri, J., and L. J. Strahilevitz. 2021. Shining a light on dark patterns. Journal of Legal Analysis 13 (1):43–109. doi:10.1093/jla/laaa006.
  • Maier, M., and R. Harr. 2020. Dark design patterns: An end-user perspective. Human Technology 16 (2):170–99. doi:10.17011/ht/urn.202008245641.
  • Mathur, A., G. Acar, M. J. Friedman, E. Lucherini, J. Mayer, M. Chetty, and A. Narayanan. 2019. Dark Patterns at Scale: Findings from a Crawl of 11K Shopping Websites. Proceedings of the ACM on Human-Computer Interaction 3 (CSCW):1–32. doi:10.1145/3359183.
  • Mathur, A., M. Kshirsagar, and J. Mayer. 2021. What makes a dark pattern… dark? Design attributes, normative considerations, and measurement methods. Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems, 1–18.
  • Meske, C., and I. Amojo. 2019. Status quo, critical reflection and road ahead of digital nudging in information systems research–A discussion with Markus Weinmann and Alexey Voinov. arXiv Preprint arXiv:1911.08202.
  • Meske, C., I. Amojo, A.-S. Poncette, and F. Balzer. 2019. The potential role of digital nudging in the digital transformation of the healthcare industry. Design, user experience, and usability. Application Domains: 8th International Conference, DUXU 2019, Held as Part of the 21st HCI International Conference, HCII 2019, Orlando, FL, USA, July 26–31, 2019, Proceedings, Part III 21, 323–336.
  • Mildner, T., and G.-L. Savino. 2021. Ethical user interfaces: Exploring the effects of dark patterns on facebook. Extended Abstracts of the 2021 CHI Conference on Human Factors in Computing Systems, 1–7. doi:10.1145/3411763.3451659.
  • Mirbabaie, M., C. Ehnis, S. Stieglitz, D. Bunker, and T. Rose. 2021. Digital nudging in social media disaster communication. Information Systems Frontiers 23 (5):1097–113. doi:10.1007/s10796-020-10062-z.
  • Mirsch, T., C. Lehrer, and R. Jung. 2017. Digital nudging: Altering user behavior in digital environments. Proceedings Der 13. Internationalen Tagung Wirtschaftsinformatik (WI 2017), 634–48.
  • Mohan, J., M. Wasserman, and V. Chidambaram. 2019. Analyzing GDPR compliance through the lens of privacy policy. Heterogeneous Data Management, Polystores, and Analytics for Healthcare: VLDB 2019 Workshops, Poly and DMAH. Los Angeles, CA, USA, August 30, 2019, Revised Selected Papers 5, 82–95.
  • Monge Roffarello, A., and L. De Russis. 2022. Towards understanding the dark patterns that steal our attention. Extended Abstracts of the 2022 CHI Conference on Human Factors in Computing Systems, 1–7. doi:10.1145/3491101.3519829.
  • Mongeon, P., and A. Paul-Hus. 2016. The journal coverage of web of science and scopus: A comparative analysis. Scientometrics 106 (1):213–28. doi:10.1007/s11192-015-1765-5.
  • Moser, C., S. Y. Schoenebeck, and P. Resnick. 2019. Impulse buying: Design practices and consumer needs. Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems, 1–15.
  • Mulligan, D. K., P. M. Regan, and J. King. 2020. The fertile dark matter of privacy takes on the dark patterns of surveillance. Journal of Consumer Psychology 30 (4):767–73. doi:10.1002/jcpy.1190.
  • Mumu, J. R., P. Saona, M. A. A. Mamun, and M. A. K. Azad. 2022. Is trust gender biased? A bibliometric review of trust in E-commerce. Journal of Internet Commerce 21 (2):217–45. doi:10.1080/15332861.2021.1927437.
  • Naiseh, M., R. S. Al-Mansoori, D. Al-Thani, N. Jiang, and R. Ali. 2021. Nudging through friction: An approach for calibrating trust in explainable AI. 2021 8th International Conference on Behavioral and Social Computing (BESC), 1–5. doi:10.1109/BESC53957.2021.9635271.
  • Narayanan, A., A. Mathur, M. Chetty, and M. Kshirsagar. 2020. Dark patterns: Past, present, and future: The evolution of tricky user interfaces. Queue 18 (2):67–92. doi:10.1145/3400899.3400901.
  • Nouwens, M., I. Liccardi, M. Veale, D. Karger, and L. Kagal. 2020. Dark patterns after the GDPR: Scraping consent pop-ups and demonstrating their influence. Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems, 1–13. doi:10.1145/3313831.3376321.
  • Nyström, T. 2021. Exploring the darkness of gamification: You want it darker?. Intelligent Computing: Proceedings of the 2021 Computing Conference, Volume 3, 491–506.
  • Nyström, T., and A. Stibe. 2020. When persuasive technology gets dark? Information Systems: 17th European. Mediterranean, and Middle Eastern Conference, EMCIS 2020, Dubai, United Arab Emirates, November 25–26, 2020, 331–45.
  • O’Connor, S., R. Nurwono, A. Siebel, and E. Birrell. 2021. (Un) clear and (In) conspicuous: The right to opt-out of sale under CCPA. Proceedings of the 20th Workshop on Workshop on Privacy in the Electronic Society, 59–72.
  • Özdemir, Ş. 2020. Digital nudges and dark patterns: The angels and the archfiends of digital communication. Digital Scholarship in the Humanities 35 (2):417–28. doi:10.1093/llc/fqz014.
  • Pappu, R., P. Quester, and R. Cooksey. 2005. Consumer-based brand equity: Improving the measurement – Empirical evidence. Journal of Product & Brand Management 14 (3):143–54. doi:10.1108/10610420510601012.
  • Paul, J., and A. Rosado-Serrano. 2019. Gradual internationalization vs born-global/international new venture models: A review and research agenda. International Marketing Review 36 (6):830–58. doi:10.1108/IMR-10-2018-0280.
  • Petrovskaya, E., S. Deterding, and D. I. Zendle. 2022. Prevalence and salience of problematic microtransactions in top-grossing mobile and PC games: A content analysis of user reviews. Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems, 1–12. doi:10.1145/3491102.3502056.
  • Rogers, Y., M. Brereton, P. Dourish, J. Forlizzi, and P. Olivier. 2021. The dark side of interaction design. Extended Abstracts of the 2021 CHI Conference on Human Factors in Computing Systems, 1–2. doi:10.1145/3411763.3450397.
  • Roy Bhattacharjee, D., D. Pradhan, and K. Swani. 2022. Brand communities: A literature review and future research agendas using TCCM approach. International Journal of Consumer Studies 46 (1):3–28. doi:10.1111/ijcs.12758.
  • Sahu, K. C., M. Naved Khan, and K. D. Gupta. 2021. Determinants of webrooming and showrooming behavior: A systematic literature review. Journal of Internet Commerce 20 (2):137–66. doi:10.1080/15332861.2020.1863041.
  • Schneider, C., M. Weinmann, and J. Vom Brocke. 2018. Digital nudging: Guiding online user choices through interface design. Communications of the ACM 61 (7):67–73. doi:10.1145/3213765.
  • Schneider, D., J. Klumpe, M. Adam, and A. Benlian. 2020. Nudging users into digital service solutions. Electronic Markets 30 (4):863–81. doi:10.1007/s12525-019-00373-8.
  • Schrills, T., M. Zoubir, J. Stahl, K. Drozniak, and T. Franke. 2020. Good Boy here or bad boy far away? Effects of digital nudging on booking decisions in car sharing. Engineering psychology and cognitive ergonomics. Cognition and Design: 17th International Conference, EPCE 2020, Held as Part of the 22nd HCI International Conference, HCII 2020, Copenhagen, Denmark, July 19–24, 2020, 398–411.
  • Sidlauskiene, J. 2022. What drives consumers’ decisions to use intelligent agent technologies? A systematic review. Journal of Internet Commerce 21 (4):438–75. doi:10.1080/15332861.2021.1961192.
  • Sin, R., T. Harris, S. Nilsson, and T. Beck. 2022. Dark patterns in online shopping: Do they work and can nudges help mitigate impulse buying? Behavioural Public Policy, 1–27. doi:10.1017/bpp.2022.11.
  • Singh, V. K., P. Singh, M. Karmakar, J. Leta, and P. Mayr. 2021. The journal coverage of Web of Science, Scopus and Dimensions: A comparative analysis. Scientometrics 126 (6):5113–42. doi:10.1007/s11192-021-03948-5.
  • Singh, V., N. K. Vishvakarma, H. Mal, and V. Kumar. Forthcoming. Prioritizing dark patterns in the e-commerce industry – an empirical investigation using analytic hierarchy process. Measuring Business Excellence doi:10.1108/MBE-08-2023-0114.
  • Sitar-Tăut, D.-A., D. Mican, and R. A. Buchmann. 2021. A knowledge-driven digital nudging approach to recommender systems built on a modified Onicescu method. Expert Systems with Applications 181:115170. doi:10.1016/j.eswa.2021.115170.
  • Skov, L. R., S. Lourenço, G. L. Hansen, B. E. Mikkelsen, and C. Schofield. 2013. Choice architecture as a means to change eating behaviour in self-service settings: A systematic review. Obesity Reviews 14 (3):187–96. doi:10.1111/j.1467-789X.2012.01054.x.
  • Soe, T. H., O. E. Nordberg, F. Guribye, and M. Slavkovik. 2020. Circumvention by design-dark patterns in cookie consent for online news outlets. Proceedings of the 11th Nordic Conference on Human-Computer Interaction: Shaping Experiences, Shaping Society, 1–12.
  • Stryja, C., and G. Satzger. 2019. Digital nudging to overcome cognitive resistance in innovation adoption decisions. The Service Industries Journal 39 (15–16):1123–39. doi:10.1080/02642069.2018.1534960.
  • Susser, D., and V. Grimaldi. 2021. Measuring automated influence: Between empirical evidence and ethical values. Proceedings of the 2021 AAAI/ACM Conference on AI, Ethics, and Society, 242–253. doi:10.1145/3461702.3462532.
  • Tahaei, M., and K. Vaniea. 2021. Developers are responsible”: What Ad networks tell developers about privacy. Extended Abstracts of the 2021 CHI Conference on Human Factors in Computing Systems, 1–11. doi:10.1145/3411763.3451805.
  • Thaler, R. H., and C. R. Sunstein. 2009. Nudge: Improving decisions about health, wealth and happiness. (Revised edition, new international edition). New York: Penguin Books.
  • Thornhill, C., Q. Meeus, J. Peperkamp, and B. Berendt. 2019. A digital nudge to counter confirmation bias. Frontiers in Big Data 2:11. doi:10.3389/fdata.2019.00011.
  • Torres-Salinas, D., N. Robinson-García, Á. Cabezas-Clavijo, and E. Jiménez-Contreras. 2014. Analyzing the citation characteristics of books: Edited books, book series and publisher types in the book citation index. Scientometrics 98 (3):2113–27. doi:10.1007/s11192-013-1168-4.
  • Vishwakarma, P. 2023. Journal of internet commerce: A bibliometric overview. Journal of Internet Commerce 22 (4):567–93. doi:10.1080/15332861.2022.2095178.
  • Voigt, C., S. Schlögl, and A. Groth. 2021. Dark patterns in online shopping: Of sneaky tricks, perceived annoyance and respective brand trust. HCI in Business, Government and Organizations: 8th International Conference, HCIBGO 2021, Held as Part of the 23rd HCI International Conference, HCII 2021, Virtual Event, July 24–29, 2021, 143–155.
  • von der Weth, C., A. Abdul, S. Fan, and M. Kankanhalli. 2020. Helping users tackle algorithmic threats on social media: A multimedia research agenda. Proceedings of the 28th ACM International Conference on Multimedia, 4425–4434. doi:10.1145/3394171.3414692.
  • Wagner, B., K. Rozgonyi, M.-T. Sekwenz, J. Cobbe, and J. Singh. 2020. Regulating transparency? Facebook, twitter and the German network enforcement act. Proceedings of the 2020 Conference on Fairness, Accountability, and Transparency, 261–71.
  • Waldman, A. E. 2020. Cognitive biases, dark patterns, and the ‘privacy paradox. Current Opinion in Psychology 31:105–9. doi:10.1016/j.copsyc.2019.08.025.
  • Wecker, A., T. Kuflik, and O. Stock. 2020. Reflections on persuasive and digital nudging methods for cultural heritage. Adjunct Publication of the 28th ACM Conference on User Modeling, Adaptation and Personalization, 370–372. ACM. doi:10.1145/3386392.3399285.
  • Weinmann, M., C. Schneider, and J. v Brocke. 2016. Digital nudging. Business & Information Systems Engineering 58 (6):433–6. doi:10.1007/s12599-016-0453-1.
  • Westin, F., and S. Chiasson. 2019. Opt out of privacy or “go home” understanding reluctant privacy behaviours through the FoMO-centric design paradigm. Proceedings of the New Security Paradigms Workshop, 57–67.
  • Westin, F., and S. Chiasson. 2021. “It’s so difficult to sever that connection”: The role of FoMO in users’ reluctant privacy behaviours. Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems, 1–15. doi:10.1145/3411764.3445104.
  • Wilson, A. L., E. Buckley, J. D. Buckley, and S. Bogomolova. 2016. Nudging healthier food and beverage choices through salience and priming. Evidence from a systematic review. Food Quality and Preference 51:47–64. doi:10.1016/j.foodqual.2016.02.009.
  • Zeng, E., T. Kohno, and F. Roesner. 2021. What makes a “bad” Ad? User perceptions of problematic online advertising. Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems, 1–24. doi:10.1145/3411764.3445459.

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