oa News Organizations’ Selective Link Sharing as Gatekeeping

References

1. Anderson, S. P., & De Palma, A.(2012). Competition for attention in the information (overload) age. The RAND Journal of Economics, 43(1), 1–25. doi:10.1111/j.1756‑2171.2011.00155.x
   [Google Scholar]
2. Anderson, S. P., & De Palma, A.(2013). Shouting to be heard in advertising. Management Science, 59(7), 1545–1556. doi:10.1287/mnsc.1120.1682
   [Google Scholar]
3. Andrews, C., Fichet, E., Ding, Y., Spiro, E. S., & Starbird, K.(2016). Keeping up with the tweet-dashians: The impact of ‘official’ accounts on online rumoring. Proceedings of the 19th ACM Conference on Computer-Supported Cooperative Work & Social Computing, 452–465. doi:10.1145/2818048.2819986
   [Google Scholar]
4. Armstrong, C. L., & Gao, F.(2010). Now tweet this how news organizations use twitter. Electronic News, 4(4), 218–235. doi:10.1177/1931243110389457
   [Google Scholar]
5. Barthel, M. (2018, June). State of the news media - data and trends about key sectors in the U.S. news media industry. Retrieved from Pew Research Center: www.journalism.org/fact-sheet/newspapers/
   [Google Scholar]
6. Barzilai-Nahon, K.(2008). Toward a theory of network gatekeeping: A framework for exploring information control. Journal of the Association for Information Science and Technology, 59(9), 1493–1512. doi:10.1002/asi.20857
   [Google Scholar]
7. Berger, G.(2009). How the internet impacts on international news: Exploring paradoxes of the most global medium in a time of hyperlocalism. International Communication Gazette, 71(5), 355–371. doi:10.1177/1748048509104977
   [Google Scholar]
8. Berger, J., & Milkman, K. L.(2012). What makes online content viral?Journal of Marketing Research, 49(2), 192–205. doi:10.1509/jmr.10.0353
   [Google Scholar]
9. Bischof, J., & Airoldi, E. M.(2012). Summarizing topical content with word frequency and exclusivity. Proceedings of the 29th International Conference on Machine Learning (ICML-12), 201–208.
   [Google Scholar]
10. Blei, D., & Lafferty, J.(2006). Correlated topic models. Advances in Neural Information Processing Systems, 18, 147–154. doi:10.1214/07‑AOAS114
    [Google Scholar]
11. Blei, D. M.(2012). Probabilistic topic models. Communications of the ACM, 55(4), 77–84. doi:10.1109/MSP.2010.938079
    [Google Scholar]
12. Blei, D. M., Ng, A. Y., & Jordan, M. I.(2003). Latent Dirichlet Allocation. The Journal of Machine Learning Research, 3, 993–1022.
    [Google Scholar]
13. Bozdag, E., & van den Hoven, J.(2015). Breaking the filter bubble: Democracy and design. Ethics and Information Technology, 17(4), 249–265. doi:10.1007/s10676‑015‑9380‑y
    [Google Scholar]
14. Brown, P. (2018, April 18, April). Facebook struggles to promote ‘meaningful interactions’ for local publishers, data shows. Columbia Journalism Review. Retrieved from https://www.cjr.org/tow_center/facebook-local-news.php
    [Google Scholar]
15. Bruns, A.(2005). Gatewatching: Collaborative online news production. Peter Lang.
    [Google Scholar]
16. Chang, J., Gerrish, S., Wang, C., Boyd-Graber, J. L., & Blei, D. M.(2009). Reading tea leaves: How humans interpret topic models. Advances in Neural Information Processing Systems, 288–296.
    [Google Scholar]
17. Chan-Olmsted, S., Rim, H., & Zerba, A.(2013). Mobile news adoption among young adults examining the roles of perceptions, news consumption, and media usage. Journalism & Mass Communication Quarterly, 90(1), 126–147. doi:10.1177/1077699012468742
    [Google Scholar]
18. Chan-Olmsted, S. M., & Park, J. S.(2000). From on-air to online world: Examining the content and structures of broadcast TV stations’ web sites. Journalism & Mass Communication Quarterly, 77(2), 321–339. doi:10.1177/107769900007700207
    [Google Scholar]
19. Cleary, J., al Nashmi, E., Bloom, T., & North, M.(2015). Valuing twitter: Organizational and individual representations at CNN international. Digital Journalism, 3(6), 908–924. doi:10.1080/21670811.2014.990255
    [Google Scholar]
20. Diakopoulos, N.(2017). Computational journalism and the emergence of news platforms. In B.Franklin & S. A.Eldridge II (Eds.), The Routledge Companion to Digital Journalism Studies (pp. 176–184). New York, NY: Routledge.
    [Google Scholar]
21. Diakopoulos, N., & Zubiaga, A.(2014). Newsworthiness and network gatekeeping on twitter: The role of social deviance. Eighth International AAAI Conference on Weblogs and Social Media.
    [Google Scholar]
22. Dimitrova, D. V., Connolly-Ahern, C., Williams, A. P., Kaid, L. L., & Reid, A.(2003). Hyperlinking as gatekeeping: Online newspaper coverage of the execution of an American terrorist. Journalism Studies, 4(3), 401–414. doi:10.1080/14616700306488
    [Google Scholar]
23. Elizabeth, J. (2017, November 14, November). Social media teams today: A summary of what we learned. Retrieved from American Press Institute:https://www.americanpressinstitute.org/publications/reports/ strategy-studies/social-media-teams-today/
    [Google Scholar]
24. Evans, D. S.(2003). The antitrust economics of multi-sided platform markets. Yale Journal on Regulation, 20, 325–381.
    [Google Scholar]
25. Faris, R., Roberts, H., Etling, B., Bourassa, N., Zuckerman, E., & Benkler, Y.(2017). Partisanship, propaganda, and disinformation: Online media and the 2016 us presidential election. Retrieved from Berkman Klein Center: https://dash.harvard.edu/bitstream/handle/1/33759251/2017-08_electionReport_0.pdf
    [Google Scholar]
26. García-Perdomo, V., Salaverría, R., Kilgo, D. K., & Harlow, S.(2018). To share or not to share: The influence of news values and topics on popular social media content in the United States, Brazil, and Argentina. Journalism Studies, 19(8), 1180–1201. doi:10.1080/1461670X.2016.1265896
    [Google Scholar]
27. Gentzkow, M., Shapiro, J. M., & Stone, D. F.(2015). Media bias in the marketplace: Theory. In S. P.Anderson, J.Waldfogel, & D.Stromberg, Handbook of Media Economics (Vol. 1, pp. 623-645). North-Holland. doi:10.1016/B978‑0‑444‑63685‑0.00014‑0
    [Google Scholar]
28. Gottfried, J. (2014, November). Facebook and twitter as political forums: Two different dynamics. Retrieved from Pew Research Center: www.pewresearch.org/fact-tank/2014/11/12/ facebook-and-twitter-as-political-forums-two-different-dynamics/
    [Google Scholar]
29. Greer, C. F., & Ferguson, D. A.(2011). Using twitter for promotion and branding: A content analysis of local television twitter sites. Journal of Broadcasting & Electronic Media, 55(2), 198–214. doi:10.1080/08838151.2011.570824
    [Google Scholar]
30. Hermida, A.(2010). Twittering the news: The emergence of ambient journalism. Journalism Practice, 4(3), 297–308. doi:10.1080/17512781003640703
    [Google Scholar]
31. Hong, S.(2012). Online news on twitter: Newspapers’ social media adoption and their online readership. Information Economics and Policy, 24(1), 69–74. doi:10.1016/j.infoecopol.2012.01.004
    [Google Scholar]
32. Jackson, N. (2018, December). More transparency around newsroom decisions. Retrieved from Nieman Lab: www.niemanlab.org/2018/12/ more-transparency-around-newsroom-decisions/
    [Google Scholar]
33. Kalsnes, B., & Larsson, A. O.(2018). Understanding news sharing across social media: Detailing distribution on Facebook and Twitter. Journalism Studies, 19(11), 1669–1688. doi:10.1080/1461670X.2017.1297686
    [Google Scholar]
34. Kim, S. E.(2018). Media bias against foreign firms as a veiled trade barrier: Evidence from Chinese newspapers. American Political Science Review, 112(4), 954–970. doi:10.1017/S0003055418000242
    [Google Scholar]
35. Lazer, D. M., Baum, M. A., Benkler, Y., Berinsky, A. J., Greenhill, K. M., Menczer, F., ... JonathanL. Zittrain(2018). The science of fake news. Science, 359(6380), 1094–1096. doi:10.1126/science.aao2998
    [Google Scholar]
36. Lewis, S. C.(2012). The tension between professional control and open participation: Journalism and its boundaries. Information, Communication & Society, 15(6), 836–866. doi:10.1080/1369118X.2012.674150
    [Google Scholar]
37. Lewis, S. C., & Westlund, O.(2015). Big data and journalism: Epistemology, expertise, economics, and ethics. Digital journalism, 3(3), 447–466. doi:10.1080/21670811.2014.976418
    [Google Scholar]
38. Lischka, J. A.(2014). Different revenue incentives, different content? comparing economic news before and during the financial crisis in German public and commercial news outlets over time. European Journal of Communication, 29(5), 549–566. doi:10.1177/0267323114538851
    [Google Scholar]
39. Lowrey, W., & Kim, E.(2016). Hyperlocal news coverage: A population ecology perspective. Mass Communication and Society, 19(6), 694–714. doi:10.1080/15205436.2016.1201687
    [Google Scholar]
40. Maier, S.(2010). All the news fit to post? comparing news content on the web to newspapers, television, and radio. Journalism & Mass Communication Quarterly, 87(3-4), 548–562. doi:10.1177/107769901008700307
    [Google Scholar]
41. McDonald, P., & Charlesworth, S.(2013). Framing sexual harassment through media representations. In Women’s studies international forum (Vol. 37, pp. 95–103). doi:10.1016/j.wsif.2012.11.003
    [Google Scholar]
42. Meraz, S.(2011). Using time series analysis to measure intermedia agenda-setting influence in traditional media and political blog networks. Journalism & Mass Communication Quarterly, 88(1), 176–194. doi:10.1177/107769901108800110
    [Google Scholar]
43. Meraz, S., & Papacharissi, Z.(2016). Networked framing and gatekeeping. In TWitschge, C. W.Anderson, D.Domingo & A.Hermida II (Eds.), The Sage Handbook of Digital Journalism (pp. 950-112). Sage.
    [Google Scholar]
44. Meyer, K. M., & Tang, T.(2015). #socialjournalism: Local news media on twitter. International Journal on Media Management, 17(4), 241–257. doi:10.1080/14241277.2015.1107569
    [Google Scholar]
45. Mimno, D., Wallach, H. M., Talley, E., Leenders, M., & McCallum, A.(2011). Optimizing semantic coherence in topic models. Proceedings of the Conference on Empirical Methods in Natural Language Processing, 262–272.
    [Google Scholar]
46. Newman, D., Lau, J. H., Grieser, K., & Baldwin, T.(2010). Automatic evaluation of topic coherence. Human language technologies: The 2010 Annual Conference of the North American Chapter of the Association for Computational Linguistics, 100–108.
    [Google Scholar]
47. Newman, N.(2011). Mainstream media and the distribution of news in the age of social discovery. Retrieved from Reuters Institute for the Study of Journalism: https://reutersinstitute.politics.ox.ac.uk/sites/default/files/2017-11/Mainstream%20media%20and%20the%20distribution%20of%20news%20in%20the%20age%20of%20social%20discovery.pdf
    [Google Scholar]
48. Newman, N., Fletcher, R., Kalogeropoulos, A., Levy, D., & Nielsen, R. K.(2018). Reuters Institute Digital News Report 2018. Retrieved from Reuters Institute for the Study of Journalism: https://reutersinstitute.politics.ox.ac.uk/sites/default/files/digital-news-report-2018.pdf.
    [Google Scholar]
49. Palser, B.(2009). Hitting the tweet spot: news outlets should use twitter to reach elusive and valuable audiences. American Journalism Review, 31(2), 54–55.
    [Google Scholar]
50. Rashidian, N., Brown, P., Hansen, E., Bell, E., Albright, J., & Hartstone, A.(2018). Friend and foe: The platform press at the heart of journalism. Retrieved from Tow Center for Digital Journalism: https://www.cjr.org/tow_center_reports/the-platform-press-at-the-heart-of-journalism.php
    [Google Scholar]
51. Roberts, M. E., Stewart, B. M., & Airoldi, E. M.(2016). A model of text for experimentation in the social sciences. Journal of the American Statistical Association, 111(515), 988–1003. doi:10.1080/01621459.2016.1141684
    [Google Scholar]
52. Roberts, M. E., Stewart, B. M., & Tingley, D.(2016). Navigating the local modes of big data. Computational Social Science, 51.
    [Google Scholar]
53. Roberts, M. E., Stewart, B. M., Tingley, D., Airoldi, E. M.(2013). The structural topic model and applied social science. Advances in neural information processing systems workshop on topic models: Computation, application, and evaluation. 1-20.
    [Google Scholar]
54. Roston, M. (2015, January 22, January). Don’t try too hard to please twitter — and other lessons from the new york times’ social media desk. Retrieved from Nieman Lab: www.niemanlab.org/2015/01/dont-try-too-hard-to-please-twitter-and-other-lessons-from-the-new-york-times-social-media-desk/
    [Google Scholar]
55. Rowan, D. (2014, January 2, Jan). How buzzfeed mastered social sharing to become a media giant for a new era. Wired. Retrieved from www.wired.co.uk/article/buzzfeed
    [Google Scholar]
56. Schwemmer, C., & Ziewiecki, S.(2018). Social media sellout: The increasing role of product promotion on Youtube. Social Media+ Society, 4(3), 1-20. doi:10.1177/2056305118786720
    [Google Scholar]
57. Shoemaker, P. J., & Vos, T.(2009). Gatekeeping Theory. New York: Routledge.
    [Google Scholar]
58. Sjøvaag, H., & Stavelin, E.(2012). Web media and the quantitative content analysis: Methodological challenges in measuring online news content. Convergence, 18(2), 215–229. doi:10.1177/1354856511429641
    [Google Scholar]
59. Stempel III, G. H.(1985). Gatekeeping: The mix of topics and the selection of stories. Journalism Quarterly, 62(4), 791–815. doi:10.1177/107769908506200412
    [Google Scholar]
60. Stieglitz, S., & Dang-Xuan, L.(2013). Emotions and information diffusion in social media—sentiment of microblogs and sharing behavior. Journal of Management Information Systems, 29(4), 217–248. doi:10.2753/MIS0742‑1222290408
    [Google Scholar]
61. Strauß, N.(2018). Financial journalism in today’s high-frequency news and information era. Journalism, 274-291. doi:10.1177/1464884917753556
    [Google Scholar]
62. Tandoc Jr, E. C.(2014). Journalism is twerking? how web analytics is changing the process of gatekeeping. New Media & Society, 16(4), 559–575. doi:10.1177/1461444814530541
    [Google Scholar]
63. Tandoc Jr, E. C.(2017). Journalistic autonomy and web analytics. In B.Franklin & S. A.Eldridge II (Eds.), The Routledge Companion to Digital Journalism Studies (pp. 293–301). New York, NY: Routledge.
    [Google Scholar]
64. Tandoc Jr, E. C., & Vos, T. P.(2016). The journalist is marketing the news: Social media in the gatekeeping process. Journalism Practice, 10(8), 950–966. doi:10.1080/17512786.2015.1087811
    [Google Scholar]
65. Thorson, K., & Wells, C.(2015). Curated flows: A framework for mapping media exposure in the digital age. Communication Theory, 26(3), 309–328. doi:10.1111/comt.12087
    [Google Scholar]
66. Vargo, C. J., Guo, L., & Amazeen, M. A.(2017). The agenda-setting power of fake news: A big data analysis of the online media landscape from 2014 to 2016. New Media & Society, 2028–2049. doi:10.1177/1461444817712086
    [Google Scholar]
67. Welbers, K., & Opgenhaffen, M. (2018a). Presenting news on social media: Media logic in the communication style of newspapers on Facebook. Digital Journalism, 1–18. doi:10.1080/21670811.2018.1493939
    [Google Scholar]
68. Welbers, K., & Opgenhaffen, M. (2018b). Social media gatekeeping: An analysis of the gatekeeping influence of newspapers’ public Facebook pages. New Media & Society, 20(12), 4728–4747. doi:10.1177/1461444818784302
    [Google Scholar]
69. Welbers, K., Van Atteveldt, W., Kleinnijenhuis, J., Ruigrok, N., & Schaper, J.(2016). News selection criteria in the digital age: Professional norms versus online audience metrics. Journalism, 17(8), 1037–1053. doi:10.1177/1464884915595474
    [Google Scholar]
70. White, D. M.(1950). The “gate keeper”: A case study in the selection of news. Journalism Bulletin, 27(4), 383–390. doi:10.1177/107769905002700403
    [Google Scholar]
71. Yankelovich, D.(1991). Coming to Public Judgment: Making Democracy Work in a Complex World. Syracuse Syracuse University Press.
    [Google Scholar]