Extracting LPL privacy policy purposes from annotated web service source code

Hjerppe, Kalle; Ruohonen, Jukka; Leppänen, Ville

doi:10.1007/s10270-022-00998-y

“…Finally, two other well-known privacy-related topics were present in the dataset. The first is information asymmetry between technology companies and users (Hjerppe, et al, 2023). This asymmetry is concisely summarized by the following comment; "it is difficult for us but easy for them".…”

Section: Tracking and Privacymentioning

confidence: 99%

Mysterious and manipulative black boxes: A qualitative analysis of perceptions on recommender systems

Ruohonen

2024

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Recommender systems are used to provide relevant suggestions on various matters. Although these systems are a classical research topic, knowledge is still limited regarding the public opinion about these systems. Public opinion is also important because the systems are known to cause various problems. To this end, this paper presents a qualitative analysis of the perceptions of ordinary citizens, civil society groups, businesses, and others on recommender systems in Europe. The dataset examined is based on the answers submitted to a consultation about the Digital Services Act (DSA) recently enacted in the European Union (EU). Therefore, not only does the paper contribute to the pressing question about regulating new technologies and online platforms, but it also reveals insights about the policy-making of the DSA. According to the qualitative results, Europeans have generally negative opinions about recommender systems and the quality of their recommendations. The systems are widely seen to violate privacy and other fundamental rights. According to many Europeans, these also cause various societal problems, including even threats to democracy. Furthermore, existing regulations in the EU are commonly seen to have failed due to a lack of proper enforcement. Numerous suggestions were made by the respondents to the consultation for improving the situation, but only a few of these ended up to the DSA.

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“…Finally, two other well-known privacy-related topics are present in the dataset. The first is the information asymmetry between technology companies and users (Hjerppe, Ruohonen, & Leppänen, 2022). This asymmetry is concisely summarized by the following comment from a citizen; "it is difficult for us but easy for them".…”

Section: Tracking and Privacymentioning

confidence: 99%

Mysterious and Manipulative Black Boxes: A Qualitative Analysis of Perceptions on Recommender Systems

Ruohonen¹

2023

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Recommender systems are used to provide relevant suggestions on various matters. Although these systems are a classical research topic, knowledge is still limited regarding the public opinion about these systems. Public opinion is also important because the systems are known to cause various problems. To this end, this paper presents a qualitative analysis of the perceptions of ordinary citizens, civil society groups, businesses, and others on recommender systems in Europe. The dataset examined is based on the answers submitted to a consultation about the Digital Services Act (DSA) recently enacted in the European Union (EU). Therefore, not only does the paper contribute to the pressing question about regulating new technologies and online platforms, but it also reveals insights about the policy-making of the DSA. According to the qualitative results, Europeans have generally negative opinions about recommender systems and the quality of their recommendations. The systems are widely seen to violate privacy and other fundamental rights. According to many Europeans, these also cause various societal problems, including even threats to democracy. Furthermore, existing regulations in the EU are commonly seen to have failed due to a lack of proper enforcement. Numerous suggestions were made by the respondents to the consultation for improving the situation, but only a few of these ended up to the DSA.

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“…Although in Europe consent builds upon the foundational concept of informational self-determination, the use of consent as a legal basis for processing personal data has long been criticized from empirical, legal, and technical perspectives (Custers, van der Hof, Schermer, Appleby-Arnold, & Brockdorff, 2013;González & de Hert, 2019;Hjerppe, Ruohonen, & Leppänen, 2022). Good practical examples would be the complex 20,000 word bulletproof legalese documents on one hand and the vague click-through banners used in the current world wide web on the other (Lahtiranta & Hyrynsalmi, 2018;Lundgren, 2020).…”

Section: Reflectionsmentioning

confidence: 99%

Reflections on the Data Governance Act

Ruohonen¹,

Mickelsson²

2023

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The European Union (EU) has been pursuing a new strategy under the umbrella label of digital sovereignty. Data is an important element in this strategy. To this end, a specific Data Governance Act was enacted in 2022. This new regulation builds upon two ideas: reuse of data held by public sector bodies and voluntary sharing of data under the label of data altruism. This short commentary reviews the main content of the new regulation. Based on the review, a few points are also raised about potential challenges.

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Extracting LPL privacy policy purposes from annotated web service source code

Cited by 5 publications

References 52 publications

Mysterious and manipulative black boxes: A qualitative analysis of perceptions on recommender systems

Mysterious and manipulative black boxes: A qualitative analysis of perceptions on recommender systems

Mysterious and Manipulative Black Boxes: A Qualitative Analysis of Perceptions on Recommender Systems

Reflections on the Data Governance Act

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