2020
DOI: 10.2478/dim-2020-0020
|View full text |Cite
|
Sign up to set email alerts
|

Breaking Social Media Bubbles for Information Globalization: A Cross-Cultural and Cross-Language User-Centered Sense-Making Approach

Abstract: With the globalization of data, online social media plays an active role in spreading information and classifying people, and thinking about how to break the solidification of algorithms becomes critical. Current algorithmic research in the social media space often focuses on a single service or language, mainly due to the lack of a way to connect the different bubbles. The panel speakers described their various research activities in which they presented different perspectives on how to break the bubble. This… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1

Citation Types

0
8
0

Year Published

2023
2023
2024
2024

Publication Types

Select...
5
2

Relationship

0
7

Authors

Journals

citations
Cited by 10 publications
(8 citation statements)
references
References 19 publications
0
8
0
Order By: Relevance
“…Structural features are the social network relationships derived from the user-following network (Costas et al ., 2021; Razghandi and Golpaygani, 2017; Xiong et al ., 2020). Some studies on user attention, posting behavior, forwarding behavior (An et al ., 2021), ignoring behavior (Agarwal et al ., 2022), adoption behavior (Ali et al ., 2022) and interaction between users and information (Liu et al ., 2020) are also conducted based on the above features. Users with different characteristics play different roles in social media.…”
Section: Literature Reviewmentioning
confidence: 99%
“…Structural features are the social network relationships derived from the user-following network (Costas et al ., 2021; Razghandi and Golpaygani, 2017; Xiong et al ., 2020). Some studies on user attention, posting behavior, forwarding behavior (An et al ., 2021), ignoring behavior (Agarwal et al ., 2022), adoption behavior (Ali et al ., 2022) and interaction between users and information (Liu et al ., 2020) are also conducted based on the above features. Users with different characteristics play different roles in social media.…”
Section: Literature Reviewmentioning
confidence: 99%
“…A common response to the sense of fragmentation has been to encourage exposure to more cross-partisan sources of information [ 13 , 14 ]. By offering citizens certified facts from neutral parties, platforms seek to reach across “bubbles” and “echo-chambers” to create a common basis for generating a meaningful conversation.…”
Section: Introductionmentioning
confidence: 99%
“…Finally, Liu, He, and Wu [7] provide insights into breaking social media bubbles for information globalization through a cross-cultural and cross-language user-centered sense-making approach. They explore the impact of algorithmic curation on information dissemination, emphasizing the importance of bridging different online communities and breaking through filter bubbles to foster information globalization and cultural understanding.…”
mentioning
confidence: 99%