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The Collision of Online Contexts and Your Privacy

Explore how context collapse affects your online privacy.

Ido Sivan-Sevilla, Parthav Poudel

― 6 min read


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In today's digital world, we live our lives online. We shop, seek information, connect with others, and share moments via various websites. However, while the internet offers many conveniences, it also presents significant Privacy issues. One of the major problems is how different online contexts, such as shopping, health, and social interactions, tend to collide, leading to a loss of our distinct identities. This article examines the implications of this online context collision and the role of Web Tracking in it, while trying to keep things light and, hopefully, not too overwhelming.

What is Context Collapse?

The term "context collapse" refers to the merging of different social contexts into one. Imagine you are at a party where your work colleagues, childhood friends, and your neighbor all gather in one place. You might feel a bit weird about sharing certain stories or jokes in front of people from different parts of your life. Context collapse online happens similarly, where all the various identities we present in different online spaces blend together. When you look for health information on a website, the same data can end up being used when you shop for shoes or browse LGBTQ content, creating a mess of your personal data.

How Does Online Tracking Contribute?

Web tracking is like a sneaky friend who won't stop taking notes about your conversations. Whenever you visit a website, various trackers can identify and follow your activities. This practice helps build profiles about you based on your behaviors, interests, and interactions. While this can help companies serve you ads that might actually interest you, it also leads to context collapse.

Imagine you are searching for a recipe for a healthy meal. Suddenly, you start receiving ads for, say, a fast-food restaurant because your data has been shared across different contexts. It’s a bit ironic, right? You just wanted to eat healthy! This constant tracking makes it hard to maintain separate online identities and leads to a lack of privacy.

The Big Problem: Lack of Privacy

The issue gets even worse when you realize how little attention has been paid to these privacy concerns by researchers. Many studies have focused on how much tracking happens, but few have looked into the real problem: the collision of these contexts. Users often lose their ability to keep their identities separate, which is a significant breach of privacy. You wouldn’t want your dentist knowing about your late-night snack habits, right?

What is Contextual Integrity?

To understand this privacy issue, we can refer to the theory of contextual integrity. This concept suggests that our expectations for privacy differ based on the context we are in. For example, information shared in a healthcare setting is meant for health improvement, while data shared when shopping is supposed to help you acquire products. If either context swaps information improperly or combines them, it breaks the expectations of privacy we have.

Measuring Privacy Violations

To address the problem of context collapse, researchers have begun measuring how often persistent browser identification occurs across various online contexts. This process involves collecting data from popular websites in different categories, such as health, finance, and eCommerce, over a set period. By examining these websites, they can check how often user IDs are shared between contexts.

Just like being a detective, researchers are working to identify patterns of how these identifiers travel, from one website to another. They’ve discovered that different types of websites vary in how much tracking occurs. For instance, news websites may have more trackers than educational ones, which could leave users more vulnerable to context collapse.

Identifying Vulnerable Contexts

Surprisingly, some contexts are more prone to context collapse than others. The health, finance, and LGBTQ categories tend to show a considerable overlap in user identification. If you visit a health website, it's not far-fetched to find that the next time you shop online, some of that data can be shared with advertisers, leading to the development of profiles that cross these contexts.

The cold hard fact is that your online behaviors on different websites can get mixed up and misused, raising concerns about how much control you truly have over your personal data.

The Role of Cookies and Fingerprinting

Two key players in this context collapse are cookies and JavaScript fingerprinting. Cookies are small files that websites store on your browser. These cookies can keep track of you as you surf the web, helping combine your online activities into one neat package. But as browsers become better at blocking third-party cookies, some trackers have resorted to using JavaScript fingerprinting— another way to identify your device based on its settings and characteristics without storing data on your machine.

The challenge is that while cookie-based tracking can sometimes be blocked or limited, JavaScript fingerprinting is a more robust method. It makes it harder for users to escape the watchful eyes of trackers, allowing for context collapse to persist even when cookies are out of the picture.

Addressing the Issue: Solutions

Given the gravity of these privacy concerns, some solutions can help individuals maintain their identities in the vast online space. One proposed method is the creation of "containers" within browsers. Imagine having separate boxes for your shopping, health, and social needs, where trackers can't mix and mingle your data. This setup would ideally give you back some control over your personal information and help prevent context collapse.

For example, if you search for a financial service, that information wouldn't casually slip into your health-related searches. It's like keeping your work, social life, and secret hobbies in separate folders, away from prying eyes!

Conclusion

As we continue to dive deeper into the digital age, the issues surrounding privacy and context collapse deserve serious attention. The intersection of online contexts creates a challenging landscape where users struggle to maintain their identities. While web tracking offers convenience, it also poses significant risks to our privacy.

By focusing on strategies like contextual integrity and browser containers, we can hopefully navigate the digital world with a bit more assurance that our various identities can remain intact. Until then, just remember: when it comes to your online activities, everything you do may be a little less private than you'd like!

Original Source

Title: Web Privacy based on Contextual Integrity: Measuring the Collapse of Online Contexts

Abstract: The collapse of social contexts has been amplified by digital infrastructures but surprisingly received insufficient attention from Web privacy scholars. Users are persistently identified within and across distinct web contexts, in varying degrees, through and by different websites and trackers, losing the ability to maintain a fragmented identity. To systematically evaluate this structural privacy harm we operationalize the theory of Privacy as Contextual Integrity and measure persistent user identification within and between distinct Web contexts. We crawl the top-700 popular websites across the contexts of health, finance, news & media, LGBTQ, eCommerce, adult, and education websites, for 27 days, to learn how persistent browser identification via third-party cookies and JavaScript fingerprinting is diffused within and between web contexts. Past work measured Web tracking in bulk, highlighting the volume of trackers and tracking techniques. These measurements miss a crucial privacy implication of Web tracking - the collapse of online contexts. Our findings reveal how persistent browser identification varies between and within contexts, diffusing user IDs to different distances, contrasting known tracking distributions across websites, and conducted as a joint or separate effort via cookie IDs and JS fingerprinting. Our network analysis can inform the construction of browser storage containers to protect users against real-time context collapse. This is a first modest step in measuring Web privacy as contextual integrity, opening new avenues for contextual Web privacy research.

Authors: Ido Sivan-Sevilla, Parthav Poudel

Last Update: 2024-12-19 00:00:00

Language: English

Source URL: https://arxiv.org/abs/2412.16246

Source PDF: https://arxiv.org/pdf/2412.16246

Licence: https://creativecommons.org/licenses/by/4.0/

Changes: This summary was created with assistance from AI and may have inaccuracies. For accurate information, please refer to the original source documents linked here.

Thank you to arxiv for use of its open access interoperability.

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