Linking Individual-level Facebook Posts with Psychological and Health Data in an Epidemiologic Cohort: A Feasibility Study (Preprint)

2021 ◽  
Author(s):  
Peter James ◽  
Claudia Trudel-Fitzgerald ◽  
Harold H Lee ◽  
Hayami K Koga ◽  
Laura D Kubzansky ◽  
...  

BACKGROUND Psychological factors (e.g., depression, optimism) and related biological and behavioral responses are associated with numerous physical health outcomes. The majority of research in this area relies on self-reported assessments of psychological factors, which are difficult to scale because they may be expensive to administer and time-consuming to complete. Investigators are increasingly interested in using social media as a novel and convenient platform for obtaining information rapidly in large populations. OBJECTIVE We evaluated the feasibility of obtaining Facebook data from a large ongoing cohort of midlife and older women which may be used to assess psychological functioning efficiently with low cost. METHODS This protocol was conducted with participants in the Nurses’ Health Study II (NHSII) which was started in 1989 with biennial follow-ups. Facebook does not share data readily; therefore, we developed procedures to enable women to download and transfer their Facebook data to the cohort servers (for linkage with other study data they have provided). Since privacy is a critical concern when collecting individual-level data, we partnered with a third-party software developer, Digi.me, to enable participants to obtain their own Facebook data and to send it securely to our research team. In 2020, we invited a subset of the 18,519 NHSII participants (aged 56-73 years) via email to participate. Women were selected if they reported on the 2017-2018 questionnaire that they regularly posted to Facebook and were still active cohort participants. We included an exit survey for those who chose not to participate to gauge reasons for non-participation. RESULTS We invited 309 women to participate. Few women signed the consent form (N=52) and only three used the Digi.me app to download and transfer their Facebook data. These low participation rates were observed despite modifying our protocol between waves of recruitment, including by 1) excluding active healthcare workers, who might be less available to participate due to the pandemic; 2) developing a Frequently Asked Questions factsheet to provide more information regarding the protocol; and 3) simplifying the instructions for using the Digi.me app. On our exit survey, reasons most commonly reported for not participating were concerns regarding data privacy and hesitation sharing personal Facebook posts. The low participation rates suggest that obtaining individual-level Facebook data in a cohort of middle-aged and older women may be challenging. CONCLUSIONS In this cohort of midlife and older women who were actively participating for over three decades, we were largely unable to obtain permission to access to individual-level data from participants’ Facebook accounts. Despite working with a third-party to customize an app to implement safeguards for privacy, data privacy remained a key concern in these women. Future studies aiming to leverage individual-level social media should explore alternate populations or means of sharing social media data.

Author(s):  
Alecea Irene Standlee

This project seeks to contribute to the question, “How do internet users navigate data privacy in a digitally surveilled online world?” I augment this ongoing discussion by examining the perceptions and practices concerning privacy and self-representation in digital spaces among young adults, 18-22. This qualitative work utilizes in-depth interviews of college students in the United States to collect both behavioral and attitudinal patterns. Specifically, I consider the impact of the strategic interventions of corporate and governmental platforms to collect, distribute, and utilize individual level data on research participants’ information consumption, individual identity representation, and group affiliation. A preliminary analysis of the data finds participants engage in narrative rationalizations to help them navigate the cultural expectations of online engagement within a surveilled environment. Patterns of strategic self-representation are shaped by such rationalizations and justifications, including a fundamental shift in what the concept "privacy" means in an online world.


Author(s):  
Ramona Sue McNeal ◽  
Mary Schmeida

Participation in social networks, forums, and other discussion groups is a growing trend in the United States. Aside from the benefits of online social media, there is a growing concern about privacy and safety from the devolvement of personal information online. As a result of this unfriendly social media climate, Americans are taking measures to protect personal identity and to avoid surveillance by others. The purpose of this chapter is to analyze factors predicting which groups are most concerned about Internet privacy. In addition, this chapter explores how concerns regarding Information privacy are impacting usage of social network sites. We explore these questions using multivariate regression analysis and individual level data from the Pew Internet and American Life Project. Our findings suggest that those with the greatest fears regarding online privacy are not staying offline but are taking necessary precautions to address concerns.


2021 ◽  
Author(s):  
Nadia Akseer ◽  
Emily Catherine Keats ◽  
Pravheen Thurairajah ◽  
Simon Cousens ◽  
The Global Young Women’s Nutrition Group ◽  
...  

Author(s):  
Justin W. Holmes ◽  
Ramona Sue McNeal

A wide body of evidence shows that the American electorate has become more politically polarized in recent years. There are a wide variety of explanations for this trend, including selective exposure to ideological news sources. This trend corresponds with the increased use of social media for political discussion. There are competing theories regarding whether the spread social media exacerbates or attenuates polarization in the evaluation of political and social groups. The purpose of this chapter is to evaluate these competing claims. This topic is explored using multivariate regression analysis and individual level data from the 2012 American National Election Time Series Study. The findings suggest that social media use actually attenuates rather than drives polarization.


Author(s):  
Ramona Sue McNeal ◽  
Mary Schmeida

Participation in social networks, forums, and other discussion groups is a growing trend in the United States. Aside from the benefits of online social media, there is a growing concern about privacy and safety from the devolvement of personal information online. As a result of this unfriendly social media climate, Americans are taking measures to protect personal identity and to avoid surveillance by others. The purpose of this chapter is to analyze factors predicting which groups are most concerned about Internet privacy. In addition, this chapter explores how concerns regarding Information privacy are impacting usage of social network sites. We explore these questions using multivariate regression analysis and individual level data from the Pew Internet and American Life Project. Our findings suggest that those with the greatest fears regarding online privacy are not staying offline but are taking necessary precautions to address concerns.


2019 ◽  
pp. 1295-1312
Author(s):  
Ramona Sue McNeal ◽  
Mary Schmeida

Participation in social networks, forums, and other discussion groups is a growing trend in the United States. Aside from the benefits of online social media, there is a growing concern about privacy and safety from the devolvement of personal information online. As a result of this unfriendly social media climate, Americans are taking measures to protect personal identity and to avoid surveillance by others. The purpose of this chapter is to analyze factors predicting which groups are most concerned about Internet privacy. In addition, this chapter explores how concerns regarding Information privacy are impacting usage of social network sites. We explore these questions using multivariate regression analysis and individual level data from the Pew Internet and American Life Project. Our findings suggest that those with the greatest fears regarding online privacy are not staying offline but are taking necessary precautions to address concerns.


2020 ◽  
Author(s):  
Kunal Srivastava

<div> <div> <div> <p>The world of technology is changing. It used to be one where users could post on social media, order clothes online, and play mobile games without a care in the world. As time progressed, companies eventually realized that they could collect small pieces of information from a user’s technological habits, and use that to form a profile of the user of some sort. Such a profile could be used for marketing, grouping, or even just to sell-off. I conducted a study of mobile device application developers, specifically relating to iOS third-party applications. This is more of a hidden loophole in the “security” of Apple’s iOS. This is important to the field of data privacy because many users use third-party applications without the knowledge of what data is being taken and when it is being taken. I used a packet-monitoring service to listen in on third-party applications and wrote a script to filter out relevant pieces of data that were being sent back to an application’s server. The findings of this study concluded that third-party iOS applications have unmonitored power to access pieces of information like contacts, location, and emails. </p> </div> </div> </div>


2018 ◽  
Vol 23 (2) ◽  
pp. 161-182 ◽  
Author(s):  
Matthew Barnidge ◽  
Brigitte Huber ◽  
Homero Gil de Zúñiga ◽  
James H. Liu

In the context of the United States, research shows a positive relationship between network heterogeneity and political expression on social media at the individual level. This study builds on that research, relying on multilevel analysis that (1) leverages a twenty-country comparative survey and (2) includes country-level data on freedom of expression. Results show a positive relationship between network heterogeneity and political expression on social media across countries, but that relationship is stronger where freedom of expression is more limited.


2020 ◽  
Vol 53 (4) ◽  
pp. 710-711
Author(s):  
Margaret Levi ◽  
Betsy Rajala

ABSTRACTThis article responds to King and Persily’s (2019) proposal for a new model of industry–academic partnership using an independent third party to mediate between firms and academics. We believe this is a reasonable proposal for highly sensitive individual-level data, but it may not be appropriate for all types of data. We explore alternative options to their proposal, including Administrative Data Research Facilities, Data Collaboratives at GovLab, and Tech Data for Social Good Initiative at the Center for Advanced Study in the Behavioral Sciences. We believe social scientists should continue to explore, evaluate, and scale a variety of industry–academic data-sharing models.


2020 ◽  
Author(s):  
Kunal Srivastava

<div> <div> <div> <p>The world of technology is changing. It used to be one where users could post on social media, order clothes online, and play mobile games without a care in the world. As time progressed, companies eventually realized that they could collect small pieces of information from a user’s technological habits, and use that to form a profile of the user of some sort. Such a profile could be used for marketing, grouping, or even just to sell-off. I conducted a study of mobile device application developers, specifically relating to iOS third-party applications. This is more of a hidden loophole in the “security” of Apple’s iOS. This is important to the field of data privacy because many users use third-party applications without the knowledge of what data is being taken and when it is being taken. I used a packet-monitoring service to listen in on third-party applications and wrote a script to filter out relevant pieces of data that were being sent back to an application’s server. The findings of this study concluded that third-party iOS applications have unmonitored power to access pieces of information like contacts, location, and emails. </p> </div> </div> </div>


Sign in / Sign up

Export Citation Format

Share Document