The Affiliative Use of Emoji and Hashtags in the Black Lives Matter Movement in Twitter.

Author:

Alfano Mark1ORCID,Reimann Ritsaart1,Quintana Ignacio Ojea2,Chan Anastasia1,Cheong Marc3,Klein Colin2

Affiliation:

1. Department of Philosophy, Macquarie University, Sydney, AU

2. School of Philosophy, Australian National University, Canberra, ACT, AU

3. Centre for AI and Digital Ethics, University of Melbourne, Parkville, VIC, AU

Abstract

Protests and counter-protests seek to draw and direct attention and concern with confronting images and slogans. In recent years, as protests and counter-protests have partially migrated to the digital space, such images and slogans have also gone online. Two main ways in which these images and slogans are translated to the online space is through the use of emoji and hashtags. Despite sustained academic interest in online protests, hashtag activism, and the use of emoji across social media platforms, little is known about the specific functional role that emoji and hashtags play in online social movements. In an effort to fill this gap, the current paper studies both hashtags and emoji in the context of the Twitter discourse around the Black Lives Matter movement.

Funder

John Templeton Foundation

Australian Research Council

Publisher

SAGE Publications

Subject

Law,Library and Information Sciences,Computer Science Applications,General Social Sciences

Reference49 articles.

1. Abadi M., Agarwal A., Barham P., Brevdo E., Chen Z., Citro C., Corrado G. S., Davis A., Dean J., Devin M., Ghemawat S., Goodfellow I., Harp A., Irving G., Isard M., Jia Y., Jozefowicz R., Kaiser L., Kudlur M. (2015). TensorFlow: Large-scale machine learning on heterogeneous systems.

2. A Society of Gastrointestinal and Endoscopic Surgeons (SAGES) statement on closed social media (Facebook®) groups for clinical education and consultation: issues of informed consent, patient privacy, and surgeon protection

3. A Systematic Review of Emoji: Current Research and Future Perspectives

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