Modularity is the Key A New Approach to Social Media Privacy Policies

Das, Sanchari; Dev, Jayati; Srinivasan, Kaushik

doi:10.1145/3293578.3293589

Cited by 10 publications

(4 citation statements)

References 14 publications

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“…Furthermore, in light of the fact of crisis, it is being speculated that the crisis has increased cyberbullying incidents [13]. To address the issue of cyberbullying, prior research has investigated online maltreatment and created effective technical and policy-focused [9,10] mitigation strategies. However, though some of these strategies are being implemented through social media policy management, there are several privacy concerns of the social media users [4,14].…”

Section: Related Workmentioning

confidence: 99%

Evaluating the Impact of COVID-19 on Cyberbullying through Bayesian Trend Analysis

Karmakar

Das

2020

Proceedings of the European Interdisciplinary Cybersecurity Conference

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COVID-19's impact has surpassed from personal and global health to our social life. In terms of digital presence, it is speculated that during pandemic, there has been a significant rise in cyberbullying. In this paper, we have examined the hypothesis of whether cyberbullying and reporting of such incidents have increased in recent times. To evaluate the speculations, we collected cyberbullying related public tweets (N = 454, 046) posted between January 1 st , 2020 -June 7 t h , 2020. A simple visual frequentist analysis ignores serial correlation and does not depict changepoints as such. To address correlation and a relatively small number of time points, Bayesian estimation of the trends is proposed for the collected data via an autoregressive Poisson model. We show that this new Bayesian method detailed in this paper can clearly show the upward trend on cyberbullying-related tweets since mid-March 2020. However, this evidence itself does not signify a rise in cyberbullying but shows a correlation of the crisis with the discussion of such incidents by individuals. Our work emphasizes a critical issue of cyberbullying and how a global crisis impacts social media abuse and provides a trend analysis model that can be utilized for social media data analysis in general. CCS CONCEPTS• Security and privacy → Human and societal aspects of security and privacy; Social aspects of security and privacy; Privacy protections.

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Section: Related Workmentioning

confidence: 99%

Evaluating the Impact of COVID-19 on Cyberbullying through Bayesian Trend Analysis

Karmakar

Das

2020

Proceedings of the European Interdisciplinary Cybersecurity Conference

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“…We found that most participants who post photos on Facebook restricted viewing to Friends or Friends of friends. However, other platforms, such as Instagram or Twitter, do not provide granular audience control, typically following the 'all or none' policy critiqued by researchers [11]. On these platforms, all posts of a public profle are public and visible to everyone.…”

Section: Control Over Audiencementioning

confidence: 99%

Does This Photo Make Me Look Good?

Das

Ahmed

Kapadia

et al. 2021

Proc. ACM Hum.-Comput. Interact.

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Bloomington, USAIn recent years, the use and importance of visual communication through photos have grown considerably. However, we have little understanding of the alignment between the intentions of the photo posters and the reactions of viewers. To address this gap, we replicated previous work that studied the alignment of poster and outsider judgments of text posts by extending it to photo posts. In our study of 573 users across four social media platforms, we found that outsiders generally judge photo posts more positively than anticipated by posters. Examining viewer engagement on social media revealed that photos depicting family and friends receive fewer reactions. We apply our insight to propose novel solutions that can help users create a more positive digital presence by aligning their photo posts with the expectations of their audiences.CCS Concepts: • Human-centered computing → Empirical studies in HCI; Empirical studies in collaborative and social computing; Social media; Social content sharing.

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“…In this study, we found that there was a lack of transparency when it came to actual procedures followed by the CSPs. As such a modular approach to transparency in privacy policy would provide a huge improvement to current policies [80]. We also recommend introducing the policy in plain, easy to understand language as Kumaraguru et al suggests [81], using easily understandable language is critical [82].…”

Section: A Data Privacy Frameworkmentioning

confidence: 99%

Location Data and COVID-19 Contact Tracing: How Data Privacy Regulations and Cell Service Providers Work In Tandem

Callie¹,

Tazi²,

Das³

2021

Preprint

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Governments, Healthcare, and Private Organizations in the global scale have been using digital tracking to keep COVID-19 outbreaks under control. Although this method could limit pandemic contagion, it raises significant concerns about user privacy. Known as "Contact Tracing Apps" , these mobile applications are facilitated by Cellphone Service Providers (CSPs), who enable the spatial and temporal realtime user tracking. Accordingly, it might be speculated that CSPs collect information violating the privacy policies such as GDPR, CCPA, and others. To further clarify, we conducted an in-depth analysis comparing privacy legislations with the realworld practices adapted by CSPs. We found that three of the regulations (GDPR, COPPA, and CCPA) analyzed defined mobile location data as private information, and two (T-Mobile US, Boost Mobile) of the five CSPs that were analyzed did not comply with the COPPA regulation. Our results are crucial in view of the threat these violations represent, especially when it comes to children's data. As such proper security and privacy auditing is necessary to curtail such violations. We conclude by providing actionable recommendations to address concerns and provide privacy-preserving monitoring of the COVID-19 spread through the contact tracing applications.

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Modularity is the Key A New Approach to Social Media Privacy Policies

Cited by 10 publications

References 14 publications

Evaluating the Impact of COVID-19 on Cyberbullying through Bayesian Trend Analysis

Evaluating the Impact of COVID-19 on Cyberbullying through Bayesian Trend Analysis

Does This Photo Make Me Look Good?

Location Data and COVID-19 Contact Tracing: How Data Privacy Regulations and Cell Service Providers Work In Tandem

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