Mapping Articles on China in Wikipedia: An Inter-Language Semantic Network Analysis

Jiang, Ke; Benefield, Grace A.; Yang, John; Barnett, George A.

doi:10.24251/hicss.2017.270

Cited by 5 publications

(3 citation statements)

References 23 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In agenda-setting theory, the word concentration is a better measure of word salience than word frequency. The feature vector represents the concentration of a word in the overall network, that is, if a word relates to more core words, then the feature vector of the word will increase accordingly [12].…”

Section: Network Analysismentioning

confidence: 99%

A Study on Transnational Media Coverage of Sino-US Trade through Semantic Network Analysis

Guo¹,

Hwang²,

Zhu³

et al. 2023

J Multimed Inf Syst

View full text Add to dashboard Cite

The traditional theory of agenda setting mainly in-cludes object agenda setting and attribute agenda set-ting, that is, the first level and the second level of age-nda setting. Communication scholars Maxwell McCo-mbs and Donald Shaw published the article "The Agenda Setting Function of Mass Communication" to formally put forward the theory of agenda setting [2]. The core idea of agenda-setting theory

show abstract

Section: Network Analysismentioning

confidence: 99%

A Study on Transnational Media Coverage of Sino-US Trade through Semantic Network Analysis

Guo¹,

Hwang²,

Zhu³

et al. 2023

J Multimed Inf Syst

View full text Add to dashboard Cite

show abstract

“…Previous work has explored how user-generated content can reveal different views about the same issues among people who write in different languages. Jiang et al (2017) conducted a semantic network analysis to examine the semantic differences that emerge from the Wikipedia articles about China. Results suggest that Chinesespeaking and English-speaking contributors framed articles about China in different and even opposite ways, which were aligned to their national cultures and values.…”

Section: From 38 Countriesmentioning

confidence: 99%

Regional Differences in Information Privacy Concerns After the Facebook-Cambridge Analytica Data Scandal

González-Pizarro

Figueroa

López

et al. 2022

Comput Supported Coop Work

View full text Add to dashboard Cite

While there is increasing global attention to data privacy, most of their current theoretical understanding is based on research conducted in a few countries. Prior work argues that people's cultural backgrounds might shape their privacy concerns; thus, we could expect people from different world regions to conceptualize them in diverse ways. We collected and analyzed a large-scale dataset of tweets about the #CambridgeAnalytica scandal in Spanish and English to start exploring this hypothesis. We employed word embeddings and qualitative analysis to identify which information privacy concerns are present and characterize language and regional differences in emphasis on these concerns. Our results suggest that related concepts, such as regulations, can be added to current information privacy frameworks. We also observe a greater emphasis on data collection in English than in Spanish. Additionally, data from North America exhibits a narrower focus on awareness compared to other regions under study. Our results call for more diverse sources of data and nuanced analysis of data privacy concerns around the globe.

show abstract

“…This occurs because there are no articles that mention "Germany" and "Saxony-Anhalt" together in these two languages. Analyses of semantic networks and the salience of semantic concepts in articles about China in the Chinese and English versions of Wikipedia found dissimilarities in the semantic content of these two versions [19]. Articles in the Chinese version are framed from the perspectives of respecting authority, emphasizing harmony and patriotism.…”

Section: Cross-language Comparisons Of User-generated Written Contentmentioning

confidence: 99%

Global Reactions to the Cambridge Analytica Scandal: A Cross-Language Social Media Study

González

Figueroa

et al. 2019

Companion Proceedings of the 2019 World Wide Web Conference

View full text Add to dashboard Cite

Currently, there is a limited understanding of how data privacy concerns vary across the world. The Cambridge Analytica scandal triggered a wide-ranging discussion on social media about user data collection and use practices. We conducted a cross-language study of this online conversation to compare how people speaking different languages react to data privacy breaches. We collected tweets about the scandal written in Spanish and English between April and July 2018. We used the Meaning Extraction Method in both datasets to identify their main topics. They reveal a similar emphasis on Zuckerberg's hearing in the US Congress and the scandal's impact on political issues. However, our analysis also shows that while English speakers tend to attribute responsibilities to companies, Spanish speakers are more likely to connect them to people. These findings show the potential of cross-language comparisons of social media data to deepen the understanding of cultural differences in data privacy perspectives. CCS CONCEPTS• Security and privacy → Social aspects of security and privacy; • Information systems → Document topic models.

show abstract

Mapping Articles on China in Wikipedia: An Inter-Language Semantic Network Analysis

Abstract: Abstract

Cited by 5 publications

References 23 publications

A Study on Transnational Media Coverage of Sino-US Trade through Semantic Network Analysis

A Study on Transnational Media Coverage of Sino-US Trade through Semantic Network Analysis

Regional Differences in Information Privacy Concerns After the Facebook-Cambridge Analytica Data Scandal

Global Reactions to the Cambridge Analytica Scandal: A Cross-Language Social Media Study

Contact Info

Product

Resources

About