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Researching solidarity & emoji on social media using machine learning.
- Format:
- Video
- Series:
- Sage research methods.
- Language:
- English
- Subjects (All):
- Emoticons--Research.
- Emoticons.
- Social media--Semiotics--Research.
- Social media.
- Visual communication--Digital techniques--Research.
- Visual communication.
- Machine learning.
- Physical Description:
- 1 online resource (1 video file (00:21:33)) : sound, colour
- Other Title:
- Researching solidarity and emoji on social media using machine learning
- Place of Publication:
- London : SAGE Publications Ltd, 2019.
- Language Note:
- Closed-captions in English.
- Summary:
- Samira Shaikh, PhD, Assistant Professor in Cognitive Science at the University of North Carolina, discusses her research of machine learning to understand solidarity and emoji use on social media, including skills needed to for both social science and computer science; collection of solidarity data; collection, management, and cleaning of Twitter data; the importance of emojis; challenges faced and overcome; working with social media in different languages; results of the research; aspects requiring further research; and advice for students conducting similar research.
- Participant:
- Academic, Samira Shaikh PhD.
- Notes:
- Description based on XML content.
- ISBN:
- 9781526493422 (streaming video) :
- OCLC:
- 1104438417
- Access Restriction:
- Restricted for use by site license.
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