Why Did You Post That GIF? Understanding Relationship between User Identity and Self Expression through GIFs on Social Media

GIFs afford a great degree of personalization as they are often created from popular movie and video clips, with diverse and real characters, each expressing a nuanced affect state through a combination of characters' own unique bodily gesture and distinctive visual background. This highly personalized and embodied property gave us an unique window to explore how individuals represent and express themselves on social media, through the lens of GIFs they use. In this study, we explore how do Twitter users express their gender and racial identities through that of characters in gifs. We conducted a behavioral study (n=398) to simulate a series of tweeting and gif picking scenario and we found that gender and race identities have significant impact on users' choice of GIFs and that source familiarity and perceived audience also have significant impacts on whether a user will choose race and gender matching GIFs.

Name thesis:degree_name

Master of Science

Level thesis:degree_level

masters

Discipline thesis:degree_discipline

Computer Science & Applications

Department dc:contributor.department

Computer Science and Applications

Grantor dc:publisher

Virginia Tech

Year dc:date.issued

2023

Author dc:creator

• Wang, Boyuan

Chair dc:contributor.committeechair

• Lee, Sang Won

Committee members dc:contributor.committeemember

• Rho, Ha Rim
• Luther, Kurt

• Social Media
• Animated GIFs
• Online Identity
• Race
• Gender

Statement dc:rights

• In Copyright

Licence dc:rights.uri

• http://rightsstatements.org/vocab/InC/1.0/

Language dc:language.iso

en

Dc Identifier Other

vt_gsexam:38098

OAI identifier oai:identifier

oai:vtechworks.lib.vt.edu:10919/115971