Algorithmic Gossiping: sharing and non-sharing that evolve algorithmic imaginaries to folk theories
Introduction. This paper presents a work-in-progress diary study exploring how algorithmic gossiping contributes to the transformation of individual, momentary algorithmic imaginaries into shared and consolidated folk theories. Method. This study utilises Douyin as the research site, employing an...
Saved in:
| Main Authors: | Gaohui Cao, Zhang Wen, Puyi Liu |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
University of Borås
2025-05-01
|
| Series: | Information Research: An International Electronic Journal |
| Subjects: | |
| Online Access: | https://publicera.kb.se/ir/article/view/51922 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Impacts of informal knowledge sharing (workplace gossip) on organisational trust
by: Andrea Bencsik, et al.
Published: (2020-03-01) -
Information practice and information behaviour: on the need for conceptual and theoretical clarity
by: Ola Pilerot, et al.
Published: (2025-05-01) -
Distributed Consensus Gossip-Based Data Fusion for Suppressing Incorrect Sensor Readings in Wireless Sensor Networks
by: Martin Kenyeres, et al.
Published: (2025-01-01) -
From the Whisper Network to #MeToo—Framing Gender, Gossip and Sexual Harassment
by: Maria Verena Peters
Published: (2020-12-01) -
Structured Deliberative Gossip and Nigerian Government in the Digital Era
by: Desmond Onyemechi Okocha, et al.
Published: (2024-11-01)