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Cong Shi

Biographic Data

ID6715391
NAMECong Shi
GIVEN NAMESCong
FAMILY NAMEShi
SIGNATURESHI C
AFFILIATIONSUniversity of Michigan
ORCID0000-0003-3564-3391
VERIFIEDYes
TOTAL WORKS1
TOTAL CITATIONS2
AUTHOR COUNT1
EDITOR COUNT0
FIRST PUBLICATION YEAR2021
LATEST PUBLICATION YEAR2021
H-INDEX1
  • Road to micro-celebration: The role of mutation strategy of micro-celebrity in digital media

    Open Access•Xingyu Chen, Ling Jiang et al.•ARTICLE•New Media & Society•2021•Cited by: 2•References: 13

    The process of how ordinary people evolve to be well-known by delivering varied digital media content (i.e. micro-celebrification) remains perplexing. This study examines the role of mutation strategy featuring: (1) mutation diversity (the degree of evenness of content distribution across mutated styles) and (2) mutation divergence (i.e. the degree of inhomogeneity among mutated content styles), in predicting the success of micro-celebrification …

  • Road to micro-celebration: The role of mutation strategy of micro-celebrity in digital media

    Open Access•Xingyu Chen, Ling Jiang et al.•ARTICLE•New Media & Society•2021•Cited by: 2•References: 13

    The process of how ordinary people evolve to be well-known by delivering varied digital media content (i.e. micro-celebrification) remains perplexing. This study examines the role of mutation strategy featuring: (1) mutation diversity (the degree of evenness of content distribution across mutated styles) and (2) mutation divergence (i.e. the degree of inhomogeneity among mutated content styles), in predicting the success of micro-celebrification …

  • Road to micro-celebration: The role of mutation strategy of micro-celebrity in digital media

    Open Access•Xingyu Chen, Ling Jiang et al.•ARTICLE•New Media & Society•2021•Cited by: 2•References: 13

    The process of how ordinary people evolve to be well-known by delivering varied digital media content (i.e. micro-celebrification) remains perplexing. This study examines the role of mutation strategy featuring: (1) mutation diversity (the degree of evenness of content distribution across mutated styles) and (2) mutation divergence (i.e. the degree of inhomogeneity among mutated content styles), in predicting the success of micro-celebrification …

Advertising (1 works) · Artificial Intelligence (1 works) · Biology (1 works) · Business (1 works) · Competition (biology (1 works) · Computer Science (1 works) · Content (measure theory (1 works) · Digital content (1 works) · Digital Games and Media (1 works) · Digital Marketing and Social Media (1 works)

Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae