A picture is worth a thousand words: an empirical study on the influence of content visibility on diffusion processes within a virtual world.

Studying information diffusion and the spread of goods in the real world and in many digital services can be extremely difficult since information about the information flows is challenging to accurately track. How information spreads has commonly been analysed from the perspective of homophily, soc...

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Publicado en:Behaviour & Information Technology Vol. 35; no. 11; pp. 926 - 946
Autores principales: Jankowski, Jarosław, Bródka, Piotr, Hamari, Juho
Formato: research tables/charts Journal Article
Publicado: Taylor & Francis Ltd Nov2016
Acceso en línea:Ver este registro en EBSCOhost
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        atl: A picture is worth a thousand words: an empirical study on the influence of content visibility on diffusion processes within a virtual world.
      aug:
        au:
          Jankowski, Jarosław
          Bródka, Piotr
          Hamari, Juho
        affil: Faculty of Computer Science and Information Technology, West Pomeranian University of Technology, Szczecin, Poland
      sug:
        subj:
          Electronic Commerce
          Virtual Reality
          International Business
          Human
          Experimental Studies
          Disease Outbreaks
          Regression
          P-Value
          Social Behavior
      ab: Studying information diffusion and the spread of goods in the real world and in many digital services can be extremely difficult since information about the information flows is challenging to accurately track. How information spreads has commonly been analysed from the perspective of homophily, social influence, and initial seed selection. However, in virtual worlds and virtual economies, the movements of information and goods can be precisely tracked. Therefore, these environments create laboratories for the accurate study of information diffusion characteristics that have been difficult to study in prior research. In this paper, we study how content visibility as well as sender and receiver characteristics, the relationship between them, and the types of multilayer social network layers affect content absorption and diffusion in virtual world. The results show that prior visibility of distributed content is the strongest predictor of content adoption and its further spread across networks. Among other analysed factors, the mechanics of diffusion, content quality, and content adoption by users’ neighbours on the social activity layer had very strong influences on the adoption of new content.
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    language: English
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