Work Description

Title: Personal and Social Media Data Survey Open Access Deposited

h
Attribute Value
Methodology
  • We contracted with Qualtrics to solicit responses from 586 survey panelists. Using a Qualtrics panel enabled us to set minimum quotas for our independent variables (e.g., non-white respondents) to ensure variability. We then used the same instrument to survey 432 crowdworkers through Amazon's Mechanical Turk. We recruited panels through both Qualtrics and Mechanical Turk to determine whether recruitment platform influenced findings. Our survey instrument measured relationships between acceptable use and relevant constructs like data sensitivity, and personal characteristics like trust in institutions.
Description
  • Social media data offer a rich resource for researchers interested in public health, labor economics, politics, social behaviors, and other topics. However, scale and anonymity mean that researchers often cannot directly get permission from users to collect and analyze their social media data. This article applies the basic ethical principle of respect for persons to consider individuals’ perceptions of acceptable uses of data. We compare individuals' perceptions of acceptable uses of other types of sensitive data, such as health records and individual identifiers, with their perceptions of acceptable uses of social media data. Our survey of 1018 people shows that individuals think of their social media data as moderately sensitive and agree that it should be protected. Respondents are generally okay with researchers using their data in social research but prefer that researchers clearly articulate benefits and seek explicit consent before conducting research. We argue that researchers must ensure that their research provides social benefits worthy of individual risks and that they must address those risks throughout the research process.
Creator
Depositor
  • libbyh@umich.edu
Contact information
Discipline
Funding agency
  • National Science Foundation (NSF)
ORSP grant number
  • F051475
Keyword
Date coverage
  • 2021
Related items in Deep Blue Documents
Resource type
Last modified
  • 11/19/2022
Published
  • 07/11/2022
Language
DOI
  • https://doi.org/10.7302/6vjf-av59
License
To Cite this Work:
Hemphill, L. (2022). Personal and Social Media Data Survey [Data set], University of Michigan - Deep Blue Data. https://doi.org/10.7302/6vjf-av59

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Files (Count: 5; Size: 2.42 MB)

Thumbnailthumbnail-column Title Original Upload Last Modified File Size Access Actions
mturk_data.csv 2022-07-06 2022-07-06 441 KB Open Access
qualtrics_data.csv 2022-07-06 2022-07-06 613 KB Open Access
personal_data_survey_instrument.pdf 2022-07-06 2022-07-06 201 KB Open Access
personal_data_survey_responses.csv 2022-07-09 2022-07-09 1.18 MB Open Access
map_variable_to_question_text.csv 2022-07-09 2022-07-09 19.3 KB Open Access

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