@article{Sihombing:285101,
      recid = {285101},
      author = {Sihombing, Sabrina Oktaria},
      title = {Predicting intention to share news through social media:   An empirical analysis in Indonesian youth context },
      journal = {Business and Economic Horizons (BEH)},
      address = {2017-10},
      number = {1232-2019-716},
      year = {2017},
      abstract = {The development of digital technology encourages the  growth of social media. Social media becomes a platform for  sharing news, information, images, and many other things.  News spreads faster and becomes viral. This phenomenon can  be regarded as a "news-find-me" phenomenon. The aim of this  research is to assess the relationship between information  sharing, entertainment, and socialization as three main  predictors of attitude towards news sharing. This research  also assesses the relationship between attitude and  intention to share news. The data was collected through a  survey with the non-probability sampling technique.  Specifically, a purposive sampling design involving 200  respondents was applied. The data then were analyzed by  applying structural equation modeling. Results show that  all research hypotheses were supported.},
      url = {http://ageconsearch.umn.edu/record/285101},
      doi = {https://doi.org/10.22004/ag.econ.285101},
}