Chapter Five: Taming the Social Media Data Deluge: Using Social Media Research Methods in the Public Relations Classroom

2018 ◽  
Vol 5 (2) ◽  
pp. 205395171880773 ◽  
Author(s):  
Cheryl Cooky ◽  
Jasmine R Linabary ◽  
Danielle J Corple

Social media offers an attractive site for Big Data research. Access to big social media data, however, is controlled by companies that privilege corporate, governmental, and private research firms. Additionally, Institutional Review Boards’ regulative practices and slow adaptation to emerging ethical dilemmas in online contexts creates challenges for Big Data researchers. We examine these challenges in the context of a feminist qualitative Big Data analysis of the hashtag event #WhyIStayed. We argue power, context, and subjugated knowledges must each be central considerations in conducting Big Data social media research. In doing so, this paper offers a feminist practice of holistic reflexivity in order to help social media researchers navigate and negotiate this terrain.


2012 ◽  
Vol 89 (2) ◽  
pp. 279-298 ◽  
Author(s):  
Hyoungkoo Khang ◽  
Eyun-Jung Ki ◽  
Lan Ye

Drawing upon the social media phenomena in both practical and academic arenas, this study explored patterns and trends of social media research over the past fourteen years across four disciplines. Findings exhibit a definite increasing number of social-media-related studies. This indicates that social media have gained incremental attention among scholars, and who have, in turn, been responding and keeping pace with the increased usage and impact of this new medium. The authors suggest that future scholarly endeavors emphasize prospective aspects of social media, foreseeing applications and technological progress and elaborating theory.


2019 ◽  
Vol 26 (4) ◽  
pp. 311-313 ◽  
Author(s):  
Sherry Pagoto ◽  
Camille Nebeker

Abstract Social media use has become ubiquitous in the United States, providing unprecedented opportunities for research. However, the rapidly evolving research landscape has far outpaced federal regulations for the protection of human subjects. Recent highly publicized scandals have raised legitimate concerns in the media about how social media data are being used. These circumstances combined with the absence of ethical standards puts even the best intentioned scientists at risk of possible research misconduct. The scientific community may need to lead the charge in insuring the ethical use of social media data in scientific research. We propose 6 steps the scientific community can take to lead this charge. We underscore the important role of funding agencies and universities to create the necessary ethics infrastructure to allow social media research to flourish in a way that is pro-technology, pro-science, and most importantly, pro-humanity.


Author(s):  
Shalin Hai-Jew

There has been little work done on American emigration abroad and even less done on the formal renunciation of American citizenship. This chapter provides an overview of both phenomena in the research literature and then provides some methods for using the extraction of social media data and their visualization as a way of tapping into the public mindsets about these social phenomena. The software tools used include the following: Network Overview, Discovery and Exploration for Excel (NodeXL Basic), NVivo, and Maltego Carbon; the social media platforms used include the following: Wikipedia, YouTube, Twitter, and Flickr.


2019 ◽  
Vol 40 (1) ◽  
pp. 28-34 ◽  
Author(s):  
Lisa Tam ◽  
Jeong-Nam Kim

Purpose In the midst of practitioners’ increasing use of social media analytics (SMA) in guiding public relations (PR) strategy, this paper aims to present the capabilities and limitations of these tools and offers suggestions on how to best use them to gain research-based insights. Design/methodology/approach This review assesses the capabilities and limitations of SMA tools based on industry reports and research articles on trends in PR and SMA. Findings The strengths of SMA tools lie in their capability to gather and aggregate a large quantity of real-time social media data, use algorithms to analyze the data and present the results in ways meaningful to organizations and understand networks of issues and publics. However, there are also challenges, including the increasing restricted access to social media data, the increased use of bots, skewing social conversations in the public sphere, the lack of capability to analyze certain types of data, such as visual data and the discrepancy between data collected on social media and through other methods. Originality/value This review suggests that PR professionals acknowledge the capabilities and limitations of SMA tools when using them to inform strategy.


2013 ◽  
Vol 55 (6) ◽  
pp. 791-808 ◽  
Author(s):  
Daniel Nunan ◽  
Baskin Yenicioglu

The use of online data is becoming increasingly essential for the generation of insight in today's research environment. This reflects the much wider range of data available online and the key role that social media now plays in interpersonal communication. However, the process of gaining permission to use social media data for research purposes creates a number of significant issues when considering compatibility with professional ethics guidelines. This paper critically explores the application of existing informed consent policies to social media research and compares with the form of consent gained by the social networks themselves, which we label ‘uninformed consent’. We argue that, as currently constructed, informed consent carries assumptions about the nature of privacy that are not consistent with the way that consumers behave in an online environment. On the other hand, uninformed consent relies on asymmetric relationships that are unlikely to succeed in an environment based on co-creation of value. The paper highlights the ethical ambiguity created by current approaches for gaining customer consent, and proposes a new conceptual framework based on participative consent that allows for greater alignment between consumer privacy and ethical concerns.


2015 ◽  
Vol 39 (3) ◽  
pp. 281-289 ◽  
Author(s):  
Katrin Weller

Purpose – The purpose of this paper is to introduce a new viewpoint series, Monitoring the Media: Spotlight on Social Media Research, by providing an overview of the key challenges in social media research and some current initiatives in addressing them. Design/methodology/approach – The paper considers publication output from disciplines dealing with social media studies and summarises the key challenges as discussed in the broader research community. Findings – The paper suggests that challenges originate both from the interdisciplinary nature of social media research and from the ever-changing research landscape. It concludes that, whilst the community is addressing some challenges, others require more attention. Originality/value – The paper summarises key challenges of social media and will be of interest to researchers in different disciplines, as well as a general audience, wanting to learn about how social media data are used for research.


2018 ◽  
Vol 12 (2) ◽  
pp. 196-209 ◽  
Author(s):  
Sara Mannheimer ◽  
Elizabeth A. Hull

Open sharing of social media data raises new ethical questions that researchers, repositories and data curators must confront, with little existing guidance available. In this paper, the authors draw upon their experiences in their multiple roles as data curators, academic librarians, and researchers to propose the STEP framework for curating and sharing social media data. The framework is intended to be used by data curators facilitating open publication of social media data. Two case studies from the Dryad Digital Repository serve to demonstrate implementation of the STEP framework. The STEP framework can serve as one important ‘step’ along the path to achieving safe, ethical, and reproducible social media research practice.


Author(s):  
Shalin Hai-Jew

There has been little work done on American emigration abroad and even less done on the formal renunciation of American citizenship. This chapter provides an overview of both phenomena in the research literature and then provides some methods for using the extraction of social media data and their visualization as a way of tapping into the public mindsets about these social phenomena. The software tools used include the following: Network Overview, Discovery and Exploration for Excel (NodeXL Basic), NVivo, and Maltego Carbon; the social media platforms used include the following: Wikipedia, YouTube, Twitter, and Flickr.


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