Article published in:
The Agenda Setting Journal
Vol. 3:2 (2019) ► pp. 186207


Bakshy, E., Rosenn, I., Marlow, C., & Adamic, L.
(2012) The role of social networks in information diffusion. Proceedings of the 21st International Conference on World Wide Web, 519–528. CrossrefGoogle Scholar
Beam, M. A., Hutchens, M. J., & Hmielowski, J. D.
(2016) Clicking vs. sharing: The relationship between online news behaviors and political knowledge. Computers in Human Behavior, 59, 215–220. CrossrefGoogle Scholar
Berger, J., & Milkman, K. L.
(2012) What makes online content viral? Journal of Marketing Research, 49, 192–205. CrossrefGoogle Scholar
Bobkowski, P. S.
(2015) Sharing the news: Effects of informational utility and opinion leadership on online news sharing. Journalism & Mass Communication Quarterly, 92, 320–345. CrossrefGoogle Scholar
Breiman, L.
(2001) Random forests. Machine Learning, 45, 5–32. CrossrefGoogle Scholar
Bressert, E.
(2012) Scipy and Numpy: An overview for developers. New York, NY: O’Reilly Media, Inc.Google Scholar
Camaj, L., & Weaver, D. H.
(2013) Need for orientation and attribute agenda-setting during a US election campaign International Journal of Communication , 7, 1442–1463.Google Scholar
Caputo, B., Sim, K., Furesjo, F., & Smola, A.
(2002) Appearance-based object recognition using SVMs: Which kernel should I use? Proceedings of NIPS workshop on Statistical Methods for Computational Experiments in Visual Processing and Computer Vision 2002, 149–158.Google Scholar
Chernov, G., Valenzuela, S., & McCombs, M.
(2011) An experimental comparison of two perspectives on the concept of need for orientation in agenda-setting theory. Journalism & Mass Communication Quarterly, 88, 142–155. CrossrefGoogle Scholar
Fawcett, T.
(2004) ROC graphs: Notes and practical considerations for researchers. Machine Learning. Retrieved from http://​binf​.gmu​.edu​/mmasso​/ROC101​.pdf
Friedman, J. H.
(2001) Greedy function approximation: A gradient boosting machine. Annals of Statistics, 29, 1189–1232. CrossrefGoogle Scholar
Gil de Zúñiga, H., Jung, N., & Valenzuela, S.
(2012) Social media use for news and individuals’ social capital, civic engagement and political participation. Journal of Computer-Mediated Communication, 17, 319–336. CrossrefGoogle Scholar
Goyal, A., Bonchi, F., & Lakshmanan, L. V. S.
(2010) Learning influence probabilities in social networks. Proceedings of the Third ACM International Conference on Web Search and Data Mining, 241–250. CrossrefGoogle Scholar
Hanson, G., & Haridakis, P.
(2008) YouTube users watching and sharing the news: A uses and gratifications approach. Journal of Electronic Publishing, 11(3). CrossrefGoogle Scholar
Hermida, A., Fletcher, F., Korell, D., & Logan, D.
(2012) Share, like, recommend: Decoding the social media news consumer. Journalism Studies, 13, 815–824. CrossrefGoogle Scholar
Hilbe, J. M.
(2014) Modeling count data. New York, NY: Cambridge University Press. CrossrefGoogle Scholar
Himelboim, I., McCreery, S., & Smith, M.
(2013) Birds of a feather tweet together: Integrating network and content analyses to examine cross-ideology exposure on Twitter. Journal of Computer-Mediated Communication, 18, 40–60. CrossrefGoogle Scholar
Holton, A. E., Baek, K., Coddington, M., & Yaschur, C.
(2014) Seeking and sharing: Motivations for linking on Twitter. Communication Research Reports, 31, 33–40. CrossrefGoogle Scholar
Horan, T. J.
(2013) ‘Soft’ versus ‘hard’ news on microblogging networks: Semantic analysis of Twitter produsage. Information, Communication & Society, 16, 43–60. CrossrefGoogle Scholar
Karnowski, V., Kümpel, A. S., Leonhard, L., & Leiner, D. J.
(2017) From incidental news exposure to news engagement. How perceptions of the news post and news usage patterns influence engagement with news articles encountered on Facebook. Computers in Human Behavior, 76, 42–50. CrossrefGoogle Scholar
Kümpel, A. S., Karnowski, V., & Keyling, T.
(2015) News sharing in social media: A review of current research on news sharing users, content, and networks. Social Media+ Society, 1(2). CrossrefGoogle Scholar
Lee, C. S., & Ma, L.
(2012) News sharing in social media: The effect of gratifications and prior experience. Computers in Human Behavior, 28, 331–339. CrossrefGoogle Scholar
Matsa, K. E., & Lu, K.
Matthes, J.
(2006) The need for orientation towards news media: Revising and validating a classic concept. International Journal of Public Opinion Research, 18, 422–444. CrossrefGoogle Scholar
(2008) Need for orientation as a predictor of agenda-setting effects: Causal evidence from a two-wave panel study. International Journal of Public Opinion Research, 20, 440–453. CrossrefGoogle Scholar
McCombs, M. E., Shaw, D. L., & Weaver, D. H.
(2014) New directions in agenda-setting theory and research. Mass Communication and Society, 17, 781–802. CrossrefGoogle Scholar
McCombs, M. E., & Weaver, D. H.
(1973, April). Voters’ need for orientation and use of mass communication. Paper presented at the Annual Meeting of the International Communication Association, Montreal, Canada.
Moy, P., & Murphy, J.
(2016) Problems and prospects in survey research. Journalism & Mass Communication Quarterly, 93, 16–37. CrossrefGoogle Scholar
Park, N., Kee, K. F., & Valenzuela, S.
(2009) Being immersed in social networking environment: Facebook groups, uses and gratifications, and social outcomes. CyberPsychology & Behavior, 12(6), 729–733. CrossrefGoogle Scholar
Pearson, R.
Reagan, J., Pinkleton, B., Chen, C., & Aaronson, D.
(1995) How do technologies relate to the repertoire of information sources? Telematics and Informatics, 12, 21–27. CrossrefGoogle Scholar
Ridout, M., Hinde, J., & DeméAtrio, C. G.
(2001) A score test for testing a zero-inflated Poisson regression model against zero-inflated negative binomial alternatives. Biometrics, 57(1), 219–223. CrossrefGoogle Scholar
Shaw, D. L., McCombs, M., Weaver, D. H., & Hamm, B. J.
(1999) Individuals, groups, and agenda melding: A theory of social dissonance. International Journal of Public Opinion Research, 11(1), 2–24. CrossrefGoogle Scholar
Shearer, E. & Matsa, K.
(2018) News Use Across Social Medial Platforms 2018. Pew Research Center. Retrieved from http://​www​.journalism​.org​/2018​/09​/10​/news​-use​-across​-social​-media​-platforms​-2018/
Silva, S., Anunciação, O., & Lotz, M.
(2011) A comparison of machine learning methods for the prediction of breast cancer. In C. Pizzuti, M. D. Ritchie, M. Giacobini (Eds.), Lecture Notes in Computer Science: Vol 6623. Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics (pp. 159–170). CrossrefGoogle Scholar
Social media fact sheet
Tourangeau, R.
(2000) Remembering what happened: Memory errors and survey reports. In A. A. Stone, C. A. Bachrach, J. B. Jobe, H. S. Kurtzman, & V. S. Cain (Eds.), The science of self-report: Implications for research and practice (pp. 29–47). Mahwah, NJ: Lawrence Erlbaum.Google Scholar
Vargo, C., Guo, L. & Amazeen, A.
(2018) The agenda-setting power of fake News: A big data analysis of the online media landscape from 2014 to 2016. New Media & Society, 20(5) 2028–2049. CrossrefGoogle Scholar
Weaver, D. H.
(1977) Political issues and voter need for orientation. In D. L. Shaw and M. E. McCombs (Eds.), The emergence of American political issues: The agenda-setting function of the press (pp. 107–120). New York: West Publishing Co.Google Scholar
(1980) Audience need for orientation and media effects. Communication Research, 7, 361–373. CrossrefGoogle Scholar
Weeks, B. E., & Holbert, R. L.
(2013) Predicting dissemination of news content in social media: A focus on reception, friending, and partisanship. Journalism & Mass Communication Quarterly, 90, 212–232. CrossrefGoogle Scholar
Yuan, E.
(2011) News consumption across multiple media platforms. Information, Communication, & Society, 14, 998–1016. CrossrefGoogle Scholar
Zhang, Y., & Leung, L.
(2015) A review of social networking service (SNS) research in communication journals from 2006 to 2011. New Media & Society, 17, 1007–1024. CrossrefGoogle Scholar
Zhou, Z. H., Wu, J., & Tang, W.
(2002) Ensembling neural networks: many could be better than all. Artificial intelligence, 137(1–2), 239–263. CrossrefGoogle Scholar