Work

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

Year: 2020

Type: article

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 article provides a summary of this interactive panel.

Source: Data and Information Management

DOI: 10.2478/dim-2020-0020

Authors: Xiaozhong Liu, Daqing He, Dan Wu

Institutions: Indiana University Bloomington, University of Pittsburgh, Wuhan University

Language: English

Topic: Misinformation and Its Impacts

Subfield: Sociology and Political Science

Field: Social Sciences

Domain: Social Sciences

Open Access status: gold

Estimated APC paid: $1,350

OpenAlex ID: W3109911172

FWCI: 0.311

Cites: 37

Cited by: 10

Related to: 10