Qualitative Analysis on Large Scale Social Media Data for Adolescent Online Safety

Qualitative Methods for CSCW: Challenges and Opportunities (The 22nd ACM Conference on Computer-Supported Cooperative Work and Social Computing)

3 Pages Posted: 6 Jan 2020 Last revised: 29 Apr 2020

See all articles by Afsaneh Razi

Afsaneh Razi

University of Central Florida

Pamela Wisniewski

University of Central Florida

Date Written: November 9, 2019

Abstract

We aim to understand adolescent online risks to develop systems to provide safer online experiences for teens. Thus, we are doing qualitative data analysis on social media datasets to develop risk models qualitatively, then to create rich labeled datasets for training machine learning algorithms. Qualitative analysis of these large datasets is challenging in terms of scoping the dataset, qualitative approach, and utilizing qualitative analysis to create ground truth for training machine learning algorithms. Qualitative Research Methods for the CSCW workshop provides us a good opportunity to discuss these challenges and provide practices to tackle them.

Keywords: Qualitative methods; Thematic analysis; Online risks; Adolescent online safety

Suggested Citation

Razi, Afsaneh and Wisniewski, Pamela, Qualitative Analysis on Large Scale Social Media Data for Adolescent Online Safety (November 9, 2019). Qualitative Methods for CSCW: Challenges and Opportunities (The 22nd ACM Conference on Computer-Supported Cooperative Work and Social Computing), Available at SSRN: https://ssrn.com/abstract=3503959

Afsaneh Razi (Contact Author)

University of Central Florida ( email )

4000 Central Florida Blvd
Orlando, FL 32816-1400
United States

Pamela Wisniewski

University of Central Florida ( email )

4000 Central Florida Blvd
Orlando, FL 32816-1400
United States

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