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. DOI logoGoogle 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, 591, 215–220. DOI logoGoogle Scholar
Berger, J., & Milkman, K. L.
(2012) What makes online content viral? Journal of Marketing Research, 491, 192–205. DOI logoGoogle Scholar
Bobkowski, P. S.
(2015) Sharing the news: Effects of informational utility and opinion leadership on online news sharing. Journalism & Mass Communication Quarterly, 921, 320–345. DOI logoGoogle Scholar
Breiman, L.
(2001) Random forests. Machine Learning, 451, 5–32. DOI logoGoogle 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 , 71, 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, 881, 142–155. DOI logoGoogle Scholar
Fawcett, T.
(2004) ROC graphs: Notes and practical considerations for researchers. Machine Learning. Retrieved from [URL]
Friedman, J. H.
(2001) Greedy function approximation: A gradient boosting machine. Annals of Statistics, 291, 1189–1232. DOI logoGoogle 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, 171, 319–336. DOI logoGoogle 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. DOI logoGoogle Scholar
Hanson, G., & Haridakis, P.
(2008) YouTube users watching and sharing the news: A uses and gratifications approach. Journal of Electronic Publishing, 11(3). DOI logoGoogle Scholar
Hermida, A., Fletcher, F., Korell, D., & Logan, D.
(2012) Share, like, recommend: Decoding the social media news consumer. Journalism Studies, 131, 815–824. DOI logoGoogle Scholar
Hilbe, J. M.
(2014) Modeling count data. New York, NY: Cambridge University Press. DOI logoGoogle 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, 181, 40–60. DOI logoGoogle Scholar
Holton, A. E., Baek, K., Coddington, M., & Yaschur, C.
(2014) Seeking and sharing: Motivations for linking on Twitter. Communication Research Reports, 311, 33–40. DOI logoGoogle Scholar
Horan, T. J.
(2013) ‘Soft’ versus ‘hard’ news on microblogging networks: Semantic analysis of Twitter produsage. Information, Communication & Society, 161, 43–60. DOI logoGoogle 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, 761, 42–50. DOI logoGoogle 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). DOI logoGoogle Scholar
Lee, C. S., & Ma, L.
(2012) News sharing in social media: The effect of gratifications and prior experience. Computers in Human Behavior, 281, 331–339. DOI logoGoogle Scholar
Matsa, K. E., & Lu, K.
(2016, September 14). 10 facts about the changing digital news landscape. Retrieved from [URL]
Matthes, J.
(2006) The need for orientation towards news media: Revising and validating a classic concept. International Journal of Public Opinion Research, 181, 422–444. DOI logoGoogle 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, 201, 440–453. DOI logoGoogle Scholar
McCombs, M. E., Shaw, D. L., & Weaver, D. H.
(2014) New directions in agenda-setting theory and research. Mass Communication and Society, 171, 781–802. DOI logoGoogle 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, 931, 16–37. DOI logoGoogle 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. DOI logoGoogle Scholar
Pearson, R.
(2017, April 15). Introduction to the DataRobot R package. Retrieved from [URL]
Reagan, J., Pinkleton, B., Chen, C., & Aaronson, D.
(1995) How do technologies relate to the repertoire of information sources? Telematics and Informatics, 121, 21–27. DOI logoGoogle 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. DOI logoGoogle 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. DOI logoGoogle Scholar
Shearer, E. & Matsa, K.
(2018) News Use Across Social Medial Platforms 2018. Pew Research Center. Retrieved from [URL]
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). DOI logoGoogle Scholar
Social media fact sheet
(2017, January 12). Retrieved from [URL]
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. DOI logoGoogle 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, 71, 361–373. DOI logoGoogle 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, 901, 212–232. DOI logoGoogle Scholar
Yuan, E.
(2011) News consumption across multiple media platforms. Information, Communication, & Society, 141, 998–1016. DOI logoGoogle Scholar
Zhang, Y., & Leung, L.
(2015) A review of social networking service (SNS) research in communication journals from 2006 to 2011. New Media & Society, 171, 1007–1024. DOI logoGoogle 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. DOI logoGoogle Scholar
Cited by

Cited by 1 other publications

Kim, Bumsoo & Nicholas R. Buzzelli
2022. The Logics of Fact-Checking Website Operations. Digital Journalism  pp. 1 ff. DOI logo

This list is based on CrossRef data as of 23 january 2024. Please note that it may not be complete. Sources presented here have been supplied by the respective publishers. Any errors therein should be reported to them.