Reciprocity, Homophily, and Social Network Effects in Pictorial Communication: A Case Study of Bitmoji Sticker

要旨

Pictorial emojis and stickers are commonly used in online social communications. We analyzed social communications using Bitmoji stickers, which are expressive pictorial stickers made from avatars resembling actual users. We collect a large-scale dataset of 3 billion Bitmoji stickers' metadata, shared among 300 million Snapchat users. We find that individual Bitmoji sticker usage patterns can be characterized jointly on dimensions of reciprocity and selectivity. Generally speaking, users are either both reciprocal and selective about whom they use Bitmoji stickers with or neither reciprocal nor selective. We additionally demonstrate network homophily by showing that friends use Bitmoji stickers at similar rates. Finally, using a quasi-experimental approach, we show that receiving Bitmoji stickers from a friend encourages future Bitmoji sticker usage and overall Snapchat engagement. Our work carries implications for a better understanding of online pictorial communication behaviors.

著者
Julie Jiang
University of Southern California, Marina Del Rey, California, United States
Ron Dotsch
Snap Inc., Santa Monica, California, United States
Mireia Triguero Roura
Columbia University, New York, New York, United States
Yozen Liu
Snap Research, Santa Monica, California, United States
Vítor Silva
Snap Inc., Santa Monica, California, United States
Maarten W.. Bos
Snap Inc., Santa Monica, California, United States
Francesco Barbieri
Snap Inc., Santa Monica, California, United States
論文URL

https://doi.org/10.1145/3544548.3580990

動画

会議: CHI 2023

The ACM CHI Conference on Human Factors in Computing Systems (https://chi2023.acm.org/)

セッション: Social Network and Support

Hall B
6 件の発表
2023-04-27 18:00:00
2023-04-27 19:30:00