  | VALOGGIA, P., SERGEEVA, A., ROSSI, A., & BOTES, W. M. (2024). Learning from the Dark Side About How (not) to Engineer Privacy: Analysis of Dark Patterns Taxonomies from an ISO 29100 Perspective. Proceedings of the 10th International Conference on Information Systems Security and Privacy. doi:10.5220/0012393100003648  Peer reviewed |
  | Chuai, Y., Rossi, A., & Lenzini, G. (2023). Using Emotions and Topics to Understand Online Misinformation. In Web Engineering. ICWE 2023. Lecture Notes in Computer Science, vol 13893. Springer, Cham (pp. 395–400). doi:10.1007/978-3-031-34444-2_34 Peer reviewed |
 | Rossi, A. (2023). A backcasting exercise. First Monday: Peer-reviewed Journal on the Internet. Peer reviewed |
 | Rossi, A. (2023). Undetermined: A short story. First Monday: Peer-reviewed Journal on the Internet. doi:10.5210/fm.v28i5.13194 Peer reviewed |
 | Rossi, A. (2023). The Hitchhiker’s Guide to the Social Media Data Research Galaxy - A Primer. In F. Bieker, J. Meyer, S. Pape, I. Schiering, ... A. Weich (Eds.), Privacy and Identity Management. Privacy and Identity 2022. IFIP Advances in Information and Communication Technology (pp. 52-65). Cham, Unknown/unspecified: Springer. doi:10.1007/978-3-031-31971-6_6 Peer reviewed |
 | Rossi, A. (2023). Undetermined: A semi-academic exploration of the future of European data spaces via science fiction. First Monday: Peer-reviewed Journal on the Internet. doi:10.5210/fm.v28i5.13192 Peer reviewed |
 | Human, S., Degeling, M., Santos, C., Pandit, H., Morel, Rossi, A., Botes, W. M., Jesus, V., & Kamara, I. (2022). Data Protection and Consenting Communication Mechanisms: Current Proposals and Challenges. IEEE eXplore. doi:10.1109/EuroSPW55150.2022.00029 Peer reviewed |
 | Botes, W. M., Carli, R., Rossi, A., Sanchez Chamorro, L., Santos, C., & Sergeeva, A. (2022). Feedback to the Guidelines 3/2022 on “Dark patterns in social media platform interfaces: How to recognise and avoid them”. |
 | Doan, X. C., Selzer, A., Rossi, A., Botes, W. M., & Lenzini, G. (2022). Context, Prioritization, and Unexpectedness: Factors Influencing User Attitudes About Infographic and Comic Consent. Web Conference Companion Volume (ACM). doi:10.1145/3487553.3524632 Peer reviewed |
 | Rossi, A., Kumari, A., & Lenzini, G. (2022). Unwinding a Legal and Ethical Ariadne’s Thread Out of the Twitter Scraping Maze. In S. Schiffner, S. Ziegler, ... A. Quesada Rodriguez (Eds.), Data Protection Law International Convergence and Compliance with Innovative Technologies (DPLICIT) (pp. 179-203). Springer. doi:10.1007/978-3-031-09901-4_10 Peer reviewed |
 | Rossi, A., Chatellier, R., Leucci, S., Ducato, R., & Hary, E. (2022). What if data protection embraced foresight and speculative design? DRS2022: Bilbao. doi:10.21606/drs.2022.681 Peer reviewed |
 | Bongard, K., Sterckx, J.-L., Rossi, A., Distler, V., Rivas, S., & Koenig, V. (2022). An (Un)Necessary Evil - Users’ (Un)Certainty about Smartphone App Permissions and Implications for Privacy Engineering. In 2022 7th IEEE European Symposium on Security and Privacy Workshops (EuroSPW). IEEE. Peer reviewed |
 | Santos, C.* , Rossi, A.* , Sanchez Chamorro, L., Bongard, K., & Abu-Salma, R. (2021). Cookie Banners, What’s the Purpose? Analyzing Cookie Banner Text Through a Legal Lens. Proceedings of the 2021 ACM SIGSAC Conference on Computer and Communications Security (CCS '21). Peer reviewed* These authors have contributed equally to this work. |
 | Sayers, D., Sousa-Silva, R., Höhn, S., Ahmedi, L., Allkivi-Metsoja, K., ANASTASIOU, D., Beňuš, Š., Bowker, L., Bytyçi, E., Catala, A., Çepani, A., Chacón-Beltrán, R., Dadi, S., Dalipi, F., DESPOTOVIC, V., Doczekalska, A., Drude, S., Fort, K., Fuchs, R., ... Yildirim Yayilgan, S. (2021). The Dawn of the Human-Machine Era: A forecast of new and emerging language technologies. doi:10.17011/jyx/reports/20210518/1 |
 | Rossi, A., & Bongard, K. (2021). All in one stroke? Intervention Spaces for Dark Patterns. ORBilu-University of Luxembourg. https://orbilu.uni.lu/handle/10993/46640. |
 | Bongard-Blanchy, K., Rossi, A., Rivas, S., Doublet, S., Koenig, V., & Lenzini, G. (2021). "I am definitely manipulated, even when I am aware of it. It’s ridiculous!" - Dark Patterns from the End-User Perspective. In Proceedings of ACM DIS Conference on Designing Interactive Systems. New York, United States - New York: ACM. doi:10.1145/3461778.3462086 Peer reviewed |
 | Botes, W. M., & Rossi, A. (2021). Visualisation Techniques for Consent: Finding Common Ground in Comic Art with Indigenous Populations. In 2021 IEEE European Symposium on Security and Privacy Workshops (EuroS&PW) (pp. 292-297). doi:10.1109/EuroSPW54576.2021.00037 Peer reviewed |
 | Rossi, A., & Haapio, H. (2021). Proactive Legal Design for Health Data Sharing based on Smart Contracts. In M. Corrales Compagnucci, M. Fenwick, ... S. Wrbka (Eds.), Smart Contracts. Technological, Business and Legal Perspectives (9781509937028, pp. 101-121). Hart Publishing. Peer reviewed |
 | Rossi, A., & Lenzini, G. (2021). Which Properties has an Icon? A Critical Discussion on Evaluation Methods for Standardised Data Protection Iconography. In Proceedings of the 8th Workshop on Socio-Technical Aspects in Security and Trust (STAST). Springer. Peer reviewed |
 | Botes, W. M., & Rossi, A. (2021). Back to the Future with Icons and Images: "Low-Tech" to Communicate and Protect Privacy and Data. In R. Ducato & A. Strowel (Eds.), Legal Design Perspectives. Theoretical and Practical Insights from the Field (pp. 209-226). Ledi Publishing. Peer reviewed |
 | Rossi, A., & Lenzini, G. (July 2020). Transparency by Design in Data-Informed Research: a Collection of Information Design Patterns. Computer Law & Security Review, 37 (105402). doi:10.1016/j.clsr.2020.105402 Peer reviewed |
 | Rossi, A., & Palmirani, M. (June 2020). Can Visual Design Provide Legal Transparency? The Challenges for Successful Implementation of Icons for Data Protection. Design Issues, 36 (3), 82-96. doi:10.1162/desi_a_00605 Peer Reviewed verified by ORBi |
 | Rossi, A., & Lenzini, G. (February 2020). Making the Case for Evidence-based Standardization of Data Privacy and Data Protection Visual Indicators. Journal of Open Access to Law, 8 (1). Peer reviewed |
 | Rossi, A., & Palmirani, M. (2020). What's in an Icon? Promises and Pitfalls of Data Protection Iconography. In R. Leenes, D. Hallinan, S. Gutwirth, ... P. de Hert (Eds.), Data Protection and Privacy: Data Protection and Democracy (pp. 59 - 92). Oxford, Unknown/unspecified: Hart Publishing. Peer reviewed |
 | Rossi, A. (2019). Legal Design for the General Data Protection Regulation. A Methodology for the Visualization and Communication of Legal Concepts [Doctoral thesis, Unilu - University of Luxembourg]. ORBilu-University of Luxembourg. https://orbilu.uni.lu/handle/10993/39925 |
 | Rossi, A., & Palmirani, M. (2019). DaPIS: an Ontology-Based Data Protection Icon Set. In G. Peruginelli & S. Faro (Eds.), Knowledge of the Law in the Big Data Age (pp. 181 - 195). IOS Press. |
 | Rossi, A., & Haapio, H. (2019). Proactive Legal Design: Embedding Values in the Design of Legal Artefacts. In E. Schweighofer, F. Kummer, ... A. Saarenpää (Eds.), International Legal Infomatics Symposium IRIS 2019 (pp. 537–544). Peer reviewed |
 | Robaldo, L., Bartolini, C., Lenzini, G., Rossi, A., Palmirani, M., & Martoni, M. (2019). Formalizing GDPR provisions in reified I/O logic: the DAPRECO knowledge base. Journal of Logic, Language and Information. doi:10.1007/s10849-019-09309-z Peer reviewed |
 | Rossi, A., Ducato, R., Haapio, H., & Passera, S. (2019). Legal Design Patterns: Towards A New Language for Legal Information Design. In E. Schweighofer, F. Kummer, ... A. Saarenpää (Eds.), 22nd International Legal Infomatics Symposium IRIS 2019. Peer reviewed |
 | Rossi, A., Lenzini, G., Koenig, V., & Bongard-Blanchy, K. (2019). Dark Patterns: Deception or Simply Bad Design? [Poster presentation]. ESORICS. |
 | Rossi, A., Ducato, R., Haapio, H., & Passera, S. (2019). When Design Met Law: Design Patterns for Information Transparency. Droit de la Consommation, (1). Peer reviewed |
 | Rossi, A., & Palmirani, M. (2018). From Words to Images Through Legal Visualization. In U. Pagallo, M. Palmirani, P. Casanovas, G. Sartor, ... S. Villata (Eds.), AI Approaches to the Complexity of Legal Systems: AICOL International Workshops 2015–2017: AICOL-VI@ JURIX 2015, AICOL-VII@ EKAW 2016, AICOL-VIII@ JURIX 2016, AICOL-IX@ ICAIL 2017, and AICOL-X@ JURIX 2017, Revised Selected Papers (pp. 72-85). Springer Cham. Peer reviewed |
 | Haapio, H., Hagan, M., Palmirani, M., & Rossi, A. (2018). Legal Design Patterns for Privacy. Data Protection / LegalTech Proceedings of the 21st International Legal Informatics Symposium IRIS 2018. Peer reviewed |
 | Palmirani, M., Rossi, A., Martoni, M., & Margaret, H. (2018). A Methodological Framework to Design a Machine-Readable Privacy Icon Set. In E. Schweighofer (Ed.), Data Protection / LegalTech Proceedings of the 21st International Legal Informatics Symposium IRIS 2018. Peer reviewed |
 | palmirani, M., Martoni, M., Rossi, A., Bartolini, C., & Robaldo, L. (2018). PrOnto: Privacy Ontology for Legal Reasoning. In International Conference on Electronic Government and the Information Systems Perspective. doi:10.1007/978-3-319-98349-3_11 Peer reviewed |
 | Palmirani, M., Bartolini, C., Martoni, M., Robaldo, L., & Rossi, A. (2018). Legal Ontology for Modelling GDPR Concepts and Norms. JURIX 2018 proceedings. doi:10.3233/978-1-61499-935-5-91 Peer reviewed |
 | Rossi, A., & Palmirani, M. (2017). A Visualization Approach for Adaptive Consent in the European Data Protection Framework. In N. Edelmann & P. Parycek (Eds.), Proceedings of the 7th International Conference for E-Democracy and Open Government (pp. 159-170). doi:10.1109/CeDEM.2017.23 Peer reviewed |