Mapping online problematic content : mixing qualitative approaches & machine learning.

Format:

Video

Contributor:

Rizoiu, Marian-Andrei, academic.

Language:

English

Subjects (All):

Online data processing.

Physical Description:

1 online resource (1 video file (00:29:35)) : sound, colour

Place of Publication:

London : SAGE Publications, Ltd., 2022.

Language Note:

Closed-captioned in English.

Summary:

Marian-Andrei Rizoiu, PhD, senior lecturer, University of Technology, Sydney, discusses a case study using qualitative approaches and machine learning to map online problematic content, including blending digital ethnography and advanced machine learning, data collection, dataset augmentation, results, lessons learned, and recommendations.

Contents:

Chapter 1: Marian-Andrei Rizoiu Introduces the Interdisciplinary Approach to Researching Online Disinformation

Chapter 2: Marian-Andrei Rizoiu Discusses Blending Digital Ethnography and Advanced Machine Learning

Chapter 3: Marian-Andrei Rizoiu Discusses Examples of How Extreme Opinions Enter the Mainstream Discourse

Chapter 4: Marian-Andrei Rizoiu Discusses Social Media Keyword-Based Data Collection and Augmentation

Chapter 5: Marian-Andrei Rizoiu Discusses Results of Research on the Spread of Disinformation on Social Media

Chapter 6: Marian-Andrei Rizoiu Discusses Lessons Learned and Shares Recommendations for Interdisciplinary Research on the Spread of Disinformation Through Social Media.

Participant:

Academic, Marian-Andrei Rizoiu PhD.

Notes:

Includes bibliographical references.

Description based on: online resource; title from PDF information screen (SAGE Research Methods, viewed March 31, 2023).

ISBN:

1-5296-0490-7

9781529604900

OCLC:

1335037121