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1. "Privacy is not a concept, but a way of dealing with life": Localization of Transnational Technology Platforms and Liminal Privacy Practices in Cambodia

   https://doi.org/10.1145/3359230  

   Jack, Margaret C. ; Sovannaroth, Pang ; Dell, Nicola ( November 2019 , Proceedings of the ACM on Human-Computer Interaction)

   Privacy scholarship has shown how norms of appropriate information flow and information regulatory processes vary according to environment, which change as the environment changes, including through the introduction of new technologies. This paper describes findings from a qualitative research study that examines practices and perceptions of privacy in Cambodia as the population rapidly moves into an online environment (specifically Facebook, the most popular Internet tool in Cambodia today). We empirically demonstrate how the concept of privacy differs across cultures and show how the Facebook platform, as it becomes popular worldwide, catalyzes change in norms of information regulation. We discuss how the localization of transnational technology platforms provides a key site in which to investigate changing cultural ideas about privacy, and to discover misalignments between different expectations for information flow. Finally, we explore ways that insufficient localization effort by transnational technology companies puts some of the most marginalized users at disproportionate information disclosure risk when using new Internet tools, and offer some pragmatic suggestions for how such companies could improve privacy tools for users who are far -geographically or culturally - from where the tools are designed. 

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2. "Is Reporting Worth the Sacrifice of Revealing What I’ve Sent?": Privacy Considerations When Reporting on End-to-End Encrypted Platforms

   Wang, Leijie ; Wang, Ruotong ; Williams-Ceci, Sterling ; Menda, Sanketh ; Zhang, Amy X ( August 2023 , USENIX Association)

   User reporting is an essential component of content moderation on many online platforms--in particular, on end-to-end encrypted (E2EE) messaging platforms where platform operators cannot proactively inspect message contents. However, users' privacy concerns when considering reporting may impede the effectiveness of this strategy in regulating online harassment. In this paper, we conduct interviews with 16 users of E2EE platforms to understand users' mental models of how reporting works and their resultant privacy concerns and considerations surrounding reporting. We find that users expect platforms to store rich longitudinal reporting datasets, recognizing both their promise for better abuse mitigation and the privacy risk that platforms may exploit or fail to protect them. We also find that users have preconceptions about the respective capabilities and risks of moderators at the platform versus community level--for instance, users trust platform moderators more to not abuse their power but think community moderators have more time to attend to reports. These considerations, along with perceived effectiveness of reporting and how to provide sufficient evidence while maintaining privacy, shape how users decide whether, to whom, and how much to report. We conclude with design implications for a more privacy-preserving reporting system on E2EE messaging platforms. 

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3. A Tale of Two Communities: Privacy of Third Party App Users in Crowdsourcing - The Case of Receipt Transcription

   https://doi.org/10.1145/3610044  

   Pei, Weiping ; Likhtenshteyn, Yanina ; Yue, Chuan ( September 2023 , Proceedings of the ACM on Human-Computer Interaction)

   Mobile and web apps are increasingly relying on the data generated or provided by users such as from their uploaded documents and images. Unfortunately, those apps may raise significant user privacy concerns. Specifically, to train or adapt their models for accurately processing huge amounts of data continuously collected from millions of app users, app or service providers have widely adopted the approach of crowdsourcing for recruiting crowd workers to manually annotate or transcribe the sampled ever-changing user data. However, when users' data are uploaded through apps and then become widely accessible to hundreds of thousands of anonymous crowd workers, many human-in-the-loop related privacy questions arise concerning both the app user community and the crowd worker community. In this paper, we propose to investigate the privacy risks brought by this significant trend of large-scale crowd-powered processing of app users' data generated in their daily activities. We consider the representative case of receipt scanning apps that have millions of users, and focus on the corresponding receipt transcription tasks that appear popularly on crowdsourcing platforms. We design and conduct an app user survey study (n=108) to explore how app users perceive privacy in the context of using receipt scanning apps. We also design and conduct a crowd worker survey study (n=102) to explore crowd workers' experiences on receipt and other types of transcription tasks as well as their attitudes towards such tasks. Overall, we found that most app users and crowd workers expressed strong concerns about the potential privacy risks to receipt owners, and they also had a very high level of agreement with the need for protecting receipt owners' privacy. Our work provides insights on app users' potential privacy risks in crowdsourcing, and highlights the need and challenges for protecting third party users' privacy on crowdsourcing platforms. We have responsibly disclosed our findings to the related crowdsourcing platform and app providers.

    

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4. Powerful Privacy Norms in Social Network Discourse

   https://doi.org/10.1145/3479565  

   McDonald, Nora ; Forte, Andrea ( October 2021 , Proceedings of the ACM on Human-Computer Interaction)

   Social media companies wield power over their users through design, policy, and through their participation in public discourse. We set out to understand how companies leverage public relations to influence expectations of privacy and privacy-related norms. To interrogate the discourse productions of companies in relation to privacy, we examine the blogs associated with three major social media platforms: Facebook, Instagram (both owned by Facebook Inc.), and Snapchat. We analyze privacy-related posts using critical discourse analysis to demonstrate how these powerful entities construct narratives about users and their privacy expectations. We find that each of these platforms often make use of discourse about "vulnerable" identities to invoke relations of power, while at the same time, advancing interpretations and values that favor data capitalism. Finally, we discuss how these public narratives might influence the construction of users' own interpretations of appropriate privacy norms and conceptions of self. We contend that expectations of privacy and social norms are not simply artifacts of users' own needs and desires, but co-constructions that reflect the influence of social media companies themselves. 

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5. Commercial Versus Volunteer: Comparing User Perceptions of Toxicity and Transparency in Content Moderation Across Social Media Platforms

   https://doi.org/10.3389/fhumd.2021.626409  

   Cook, Christine L. ; Patel, Aashka ; Wohn, Donghee Yvette ( February 2021 , Frontiers in Human Dynamics)

   null (Ed.)

   Content moderation is a critical service performed by a variety of people on social media, protecting users from offensive or harmful content by reviewing and removing either the content or the perpetrator. These moderators fall into one of two categories: employees or volunteers. Prior research has suggested that there are differences in the effectiveness of these two types of moderators, with the more transparent user-based moderation being useful for educating users. However, direct comparisons between commercially-moderated and user-moderated platforms are rare, and apart from the difference in transparency, we still know little about what other disparities in user experience these two moderator types may create. To explore this, we conducted cross-platform surveys of over 900 users of commercially-moderated (Facebook, Instagram, Twitter, and YouTube) and user-moderated (Reddit and Twitch) social media platforms. Our results indicated that although user-moderated platforms did seem to be more transparent than commercially-moderated ones, this did not lead to user-moderated platforms being perceived as less toxic. In addition, commercially-moderated platform users want companies to take more responsibility for content moderation than they currently do, while user-moderated platform users want designated moderators and those who post on the site to take more responsibility. Across platforms, users seem to feel powerless and want to be taken care of when it comes to content moderation as opposed to engaging themselves. 

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