scholarly journals How to address data privacy concerns when using social media data in conservation science

2021 ◽  
Author(s):  
Enrico Di Minin ◽  
Christoph Fink ◽  
Anna Hausmann ◽  
Jens Kremer ◽  
Ritwik Kulkarni
Keyword(s):  
Social Media ◽  
Data Privacy ◽  
Conservation Science ◽  
Social Media Data ◽  
Privacy Concerns ◽  
Address Data ◽  
Media Data

Information Visualizations as a Tool to Study Users’ Social Media Privacy Concerns

2018 ◽  
Author(s):  
Anatoliy Gruzd ◽  
Jenna Jacobson ◽  
Elizabeth Dubois
Keyword(s):  
Social Media ◽  
Online Survey ◽  
Job Applicants ◽  
Social Media Data ◽  
Privacy Concerns ◽  
Comfort Levels ◽  
People’S Attitudes ◽  
Media Data ◽  
Information Visualizations

The amount and complexity of data that can be accessed from social media has been increasing exponentially. We examine the value of using information visualizations as a tool to study people’s attitudes and perceptions regarding their social media data being used by third parties. In the context of using social media to screen job applicants, we investigate the role of visualizations in studying users’ social media privacy concerns. Utilizing an online survey of 454 participants, we compare participants’ comfort levels in relation to different types of publicly accessible social media data. The results partially support the supposition that analytical information based on some form of data analysis will receive a stronger reaction when accompanied by representative visualizations.

scholarly journals Social media data for conservation science and practice

2018 ◽  
Author(s):  
Enrico Di Minin ◽  
Christoph Fink ◽  
Anna Hausmann ◽  
Vuokko Heikinheimo ◽  
Tuomo Hiippala ◽  
...  
Keyword(s):  
Social Media ◽  
Conservation Science ◽  
Social Media Data ◽  
Media Data

scholarly journals Social media data for conservation science: A methodological overview

2019 ◽  
Vol 233 ◽  
pp. 298-315 ◽  
Author(s):  
Tuuli Toivonen ◽  
Vuokko Heikinheimo ◽  
Christoph Fink ◽  
Anna Hausmann ◽  
Tuomo Hiippala ◽  
...  
Keyword(s):  
Social Media ◽  
Conservation Science ◽  
Social Media Data ◽  
Media Data

scholarly journals Habitual Disclosure: Routine, Affordance, and the Ethics of Young Peoples Social Media Data Surveillance

2020 ◽  
Vol 6 (2) ◽  
pp. 205630512091561
Author(s):  
Clare Southerton ◽  
Emmeline Taylor
Keyword(s):  
Social Media ◽  
Data Collection ◽  
Data Privacy ◽  
Qualitative Interviews ◽  
Photo Elicitation ◽  
Active Engagement ◽  
Social Media Data ◽  
Social Media Platforms ◽  
Data Surveillance ◽  
Media Data

Drawing on findings from qualitative interviews and photo elicitation, this article explores young people’s experiences of breaches of trust with social media platforms and how comfort is re-established despite continual violations. It provides rich qualitative accounts of users habitual relations with social media platforms. In particular, we seek to trace the process by which online affordances create conditions in which “sharing” is regarded as not only routine and benign but pleasurable. Rather it is the withholding of data that is abnormalized. This process has significant implications for the ethics of data collection by problematizing a focus on “consent” to data collection by social media platforms. Active engagement with social media, we argue, is premised on a tentative, temporary, shaky trust that is repeatedly ruptured and repaired. We seek to understand the process by which violations of privacy and trust in social media platforms are remediated by their users and rendered ordinary again through everyday habits. We argue that the processes by which users become comfortable with social media platforms, through these routines, call for an urgent reimagining of data privacy beyond the limited terms of consent.

scholarly journals Prospects and challenges for social media data in conservation science

2015 ◽  
Vol 3 ◽  
Author(s):  
Enrico Di Minin ◽  
Henrikki Tenkanen ◽  
Tuuli Toivonen
Keyword(s):  
Social Media ◽  
Conservation Science ◽  
Social Media Data ◽  
Media Data

Post, Mine, and Be Disturbed: Social Media Data Mining

PsycCRITIQUES ◽  
2016 ◽  
Vol 61 (51) ◽  
Author(s):  
Daniel Keyes
Keyword(s):  
Data Mining ◽  
Social Media ◽  
Social Media Data ◽  
Media Data
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