1. Azcoitia, Santiago Andrés, and Nikolaos Laoutaris. 2022. “A Survey of Data Marketplaces and Their Business Models.” DOI: 10.48550/arXiv.2201.04561
2. Bandy, Jack, and Nicholas Diakopoulos. 2021. “Curating Quality? How Twitter’s Timeline Algorithm Treats Different Types of News.” Social Media + Society 7 (3). DOI: 10.1177/2056305121104164
3. Cloudfare. 2023. “What is rate limiting? | Rate limiting and bots.” <https://web.archive.org/web/20240424000000*/https://www.cloudflare.com/learning/bots/what-is-rate-limiting/>
4. Covington, Paul, Jay Adams, and Emre Sargin. 2016. “Deep Neural Networks for Youtube Recommendations.” In Proceedings of the 10th Acm Conference on Recommender Systems, 191–98. DOI: 10.1145/2959100.2959190
5. Cresci, Stefano. 2020. “A Decade of Social Bot Detection.” Commun. ACM 63 (10): 72–83. DOI: 10.1145/3409116
6. Eg, Ragnhild, Özlem Demirkol Tønnesen, and Merete Kolberg Tennfjord. 2023. “A Scoping Review of Personalized User Experiences on Social Media: The Interplay Between Algorithms and Human Factors.” Computers in Human Behavior Reports 9: 100253. DOI: 10.1016/j.chbr.2022.100253
7. Eslami, Motahhare, Aimee Rickman, Kristen Vaccaro, Amirhossein Aleyasen, Andy Vuong, Karrie Karahalios, Kevin Hamilton, and Christian Sandvig. 2015. ““I Always Assumed That I Wasn’t Really That Close to [Her]“: Reasoning About Invisible Algorithms in News Feeds.” In Proceedings of the 33rd Annual Acm Conference on Human Factors in Computing Systems, 153–62. CHI ’15. New York, NY, USA: Association for Computing Machinery. DOI: 10.1145/2702123.2702556
8. NOYB European Center for Digital Rights. 2023. “How Mobile Apps Illigally Share Your Personal Data.” <https://web.archive.org/web/20240424000000*/https://noyb.eu/en/how-mobile-apps-illegally-share-your-personal-data>
9. Fang, Minghong, Neil Zhenqiang Gong, and Jia Liu. 2020. “Influence Function Based Data Poisoning Attacks to Top-N Recommender Systems.” In Proceedings of the Web Conference 2020, 3019–25. DOI: 10.1145/3366423.3380072
10. Farseev, Aleksandr, Qi Yang, Andrey Filchenkov, Kirill Lepikhin, Yu-Yi Chu-Farseeva, and Daron-Benjamin Loo. 2020. “SoMin.ai: Personality-Driven Content Generation Platform.” arXiv E-Prints, November, arXiv:2011.14615. DOI: 10.48550/arXiv.2011.14615
11. Gupta, Udit, Carole-Jean Wu, Xiaodong Wang, Maxim Naumov, Brandon Reagen, David Brooks, Bradford Cottel, et al. 2020. “The Architectural Implications of Facebook’s Dnn-Based Personalized Recommendation.” In 2020 Ieee International Symposium on High Performance Computer Architecture (Hpca), 488–501. IEEE. DOI: 10.1109/HPCA47549.2020.00047
12. Gustarini, Mattia, Marcello Paolo Scipioni, Marios Fanourakis, and Katarzyna Wac. 2016. “Differences in Smartphone Usage: Validating, Evaluating, and Predicting Mobile User Intimacy.” Pervasive and Mobile Computing 33: 50–72. DOI: 10.1016/j.pmcj.2016.06.003
13. Hosseinmardi, Homa, Amir Ghasemian, Aaron Clauset, Markus Mobius, David M Rothschild, and Duncan J Watts. 2021. “Examining the Consumption of Radical Content on Youtube.” Proceedings of the National Academy of Sciences 118 (32): e2101967118. DOI: 10.1073/pnas.2101967118
14. Insider, Business. 2019. “The Cambridge Analytica Whistleblower Explains How the Firm Used Facebook Data to Sway Elections.” <https://web.archive.org/web/20240424000000*/https://www.businessinsider.com/cambridge-analytica-whistleblower-christopher-wylie-facebook-data-2019-10?r=US&IR=T>
15. Kelly, Mat, Justin F Brunelle, Michele C Weigle, and Michael L Nelson. 2013. “A Method for Identifying Personalized Representations in Web Archives.” D-Lib Magazine 19 (11-12). DOI: 10.1045/november2013-kelly
16. Kiesel, Johannes, Arjen P de Vries, Matthias Hagen, Benno Stein, and Martin Potthast. 2018. “WASP: Web Archiving and Search Personalized.” <https://ceur-ws.org/Vol-2167/paper6.pdf>
17. Ledwich, Mark, and Anna Zaitsev. 2020. “Algorithmic Extremism: Examining Youtube’s Rabbit Hole of Radicalization.” First Monday. DOI: 10.5210/fm.v25i3.10419
18. Le Merrer, Erwan, Ronan Pons, and Gilles Tredan. 2023. “Algorithmic Audits of Algorithms, and the Law.” AI and Ethics, 1–11. DOI: 10.1007/s43681-023-00343-z
19. Le Merrer, Erwan, and Gilles Tredan. 2018. “The Topological Face of Recommendation.” In Complex Networks & Their Applications Vi: Proceedings of Complex Networks 2017 (the Sixth International Conference on Complex Networks and Their Applications), 897–908. Springer.
20. Le Merrer, Erwan, Gilles Tredan, and Ali Yesilkanat. 2023. “Modeling Rabbit-Holes on Youtube.” Social Network Analysis and Mining 13 (1): 100.
21. Milligan, Ian, Nick Ruest, and Jimmy Lin. 2016. “Content Selection and Curation for Web Archiving: The Gatekeepers Vs. The Masses.” In Proceedings of the 16th Acm/Ieee-Cs on Joint Conference on Digital Libraries, 107–10. DOI: 10.1145/2910896.2910913
22. Mozilla. 2020. “Political Advertisements from Facebook.” <https://web.archive.org/web/20240424000000*/https://foundation.mozilla.org/en/blog/step-inside-someone-elses-youtube-bubble>
23. Ohme, Jakob, and Theo Araujo. 2022. “Digital Data Donations: A Quest for Best Practices.” Patterns 3 (4). DOI: 10.1016/j.patter.2022.100467
24. Pariser, Eli. 2012. The Filter Bubble: How the New Personalized Web Is Changing What We Read and How We Think. Penguin Books.
25. Powers, Elia. 2017. “My News Feed Is Filtered?” Digital Journalism 5 (10): 1315–35. DOI: 10.1080/21670811.2017.1286943
26. Exodus Privacy. “Exodus Privacy Analyzes Privacy Concerns in Android Applications.” <https://web.archive.org/web/20240424000000*/http://https://exodus-privacy.eu.org/>
27. ProPublica. 2017. “Political Advertisements from Facebook.” <https://web.archive.org/web/20240424000000*/https://www.propublica.org/article/help-us-monitor-political-ads-online>
28. Rastegarpanah, Bashir, Krishna Gummadi, and Mark Crovella. 2021. “Auditing Black-Box Prediction Models for Data Minimization Compliance.” Advances in Neural Information Processing Systems 34: 20621–32. <https://proceedings.neurips.cc/paper_files/paper/2021/file/ac6b3cce8c74b2e23688c3e45532e2a7-Paper.pdf>
29. Digital Services Act . 2022. Regulation (EU) 2022/2065 of the European Parliament and of the Council of 19 October 2022 on a Single Market for Digital Services and Amending Directive 2000/31/EC (Text with EEA Relevance). OJ L. <https://web.archive.org/web/20240424000000*/http://data.europa.eu/eli/reg/2022/2065/oj/eng>
30. Salganik, Matthew J., and Duncan J. Watts. 2008. “Leading the Herd Astray: An Experimental Study of Self-Fulfilling Prophecies in an Artificial Cultural Market.” Social Psychology Quarterly 71 (4): 338–55. DOI: 10.1177/0190272508071004
31. Schafer, Valérie, Gérôme Truc, Romain Badouard, Lucien Castex, and Francesca Musiani. 2019. “Paris and Nice Terrorist Attacks: Exploring Twitter and Web Archives.” Media, War & Conflict 12 (2): 153–70. DOI: 10.1177/1750635219839382
32. Schmidt, Jan-Hinrik, Lisa Merten, Uwe Hasebrink, Isabelle Petrich, and Amelie Rolfs. 2019. “How Do Intermediaries Shape News-Related Media Repertoires and Practices? Findings from a Qualitative Study.” International Journal of Communication 13 (0). <https://web.archive.org/web/20240424000000*/https://ijoc.org/index.php/ijoc/article/view/9080>
33. Siano, Alfonso, Agostino Vollero, Francesca Conte, and Sara Amabile. 2017. “‘More Than Words’: Expanding the Taxonomy of Greenwashing After the Volkswagen Scandal.” Journal of Business Research 71: 27–37. DOI: 10.1016/j.jbusres.2016.11.002
34. “Teens, Social Media and Technology”. 2023, Pew Research Center. <https://web.archive.org/web/20240424000000*/https://www.pewresearch.org/internet/2023/12/11/teens-social-media-and-technology-2023/>
35. “The Christchurch Call to Action to Eliminate Terrorist and Violent Extremist Content Online.” n.d. <https://web.archive.org/web/20240424000000*/https://www.christchurchcall.com/assets/Documents/Christchurch-Call-full-text-English.pdf>
36. Xu, Runhua, Remo Manuel Frey, Elgar Fleisch, and Alexander Ilic. 2016. “Understanding the Impact of Personality Traits on Mobile App Adoption – Insights from a Large-Scale Field Study.” Computers in Human Behavior 62: 244–56. DOI: 10.1016/j.chb.2016.04.011
37. Zhao, Sha, Shijian Li, Julian Ramos, Zhiling Luo, Ziwen Jiang, Anind K. Dey, and Gang Pan. 2019. “User Profiling from Their Use of Smartphone Applications: A Survey.” Pervasive and Mobile Computing 59: 101052. DOI: 10.1016/j.pmcj.2019.101052

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