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Cross-cultural studies using social networks data

Annamoradnejad, I ; Sharif University of Technology | 2019

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  1. Type of Document: Article
  2. DOI: 10.1109/TCSS.2019.2919666
  3. Publisher: Institute of Electrical and Electronics Engineers Inc , 2019
  4. Abstract:
  5. With the widespread access of people to the Internet and the increasing usage of social networks in all nations, social networks have become a new source to study cultural similarities and differences. We identified major issues in traditional methods of data collection in cross-cultural studies: Difficulty in access to people from many nations, limited number of samples, negative effects of translation, positive self-enhancement illusion, and a few unreported problems. These issues are either causing difficulty to perform a cross-cultural study or have negative impacts on the validity of the final results. In this paper, we propose a framework that aims to calculate cultural distance among several countries using the information and cultural features extracted from social networks. To this aim, the framework estimates the distribution of news-oriented tweets for each nation and computes the cultural distance from these sets of distributions. Based on a sample composed of more than 17 million tweets from late 2017, our framework calculated cultural distance between 22 countries. Our results show a positive correlation between cultural distances computed by our framework and distances computed by Hofstede's cultural scores and also identified connections between some of the cultural features. © 2019 IEEE
  6. Keywords:
  7. Social network analysis ; Social networks ; Cross-cultural study ; Cultural distance ; Methods of data collections ; New sources ; Number of samples ; Positive correlations ; Self enhancements ; Twitter ; Social networking (online)
  8. Source: IEEE Transactions on Computational Social Systems ; Volume 6, Issue 4 , 2019 , Pages 627-636 ; 2329924X (ISSN)
  9. URL: https://ieeexplore.ieee.org/document/8746791