Twitter images across boundaries
Comparing the use of images in political posts from six nations
Article outline
- International Twitter comments and cultural context
- Data collection
- Results of stage 1: Content analysis
- Results of stage 2: Textual analysis of images on Twitter
- Discussion
- Limitations
-
References
References (40)
References
Albright, J. (2016). The
#Election2016 Macro-Propaganda Machine? Taken from [URL]
Barthes, R. (1972). Mythologies. New York: Hill and Wang.
Business Insider (2013). [URL]
Chin, J., & Abkowitz, A. (2016). Twitter
goes on defensive about China head’s background. The Wall Street
Journal, April 20. Taken from: [URL]
Chou, S. (2016). The
most widely shared election news? Nasty, brutish and short…and About Donald Trump. MIT Media
Lab. Taken from: [URL]
Chun, R. S. (2018). Visual
rhetoric of the presidency: An analysis of the Trump and Obama White House messaging in their first 100 days in Flicky
images. Journal of Visual
Literacy,
37
(1): 18–39.
Coleman, R., & Banning, S. (2006). Network
TV news’ affective framing of the presidential candidates: Evidence for a second-level agenda-setting effect through visual
framing. Journalism & Mass Communication
Quarterly,
83
1: 313–328.
Edwards, J. L. (2012). Visual
literacy and visual politics: Photojournalism and the 2004 presidential debates. Communication
Quarterly,
60
1: 681–697.
Ekman, P. and W. V. Friesen. (1975). Unmasking
the Face. Englewood Cliffs, NJ: Prentice-Hall.
Fahmy, S., Bock, M. A., & Wanta, W. (2014). Visual
Communication Theory and Research. New York: Palgrave Macmillan.
Geise, S., & Baden, C. (2015). Putting
the image back into the frame: Modeling the linkage between visual communication and frame-processing
theory. Communication
Theory,
25
1: 46–69.
Golan, G. J., & Himelboim, I. (2016). Can
World System Theory predict news flow on twitter? The case of government-sponsored
broadcasting. Information, Communication &
Society,
19
(8), 1150–1170.
Grabe, M. E., & Bucy, E. P. (2009). Image
bite politics: News and the visual framing of
elections. Oxford: Oxford University Press.
Guo, L., and Vargo, J. (2017). Global
media agenda-setting: A big data analysis of international news flow. Journal of
Communication,
67
1: 499–520.
Gurman, T., & Ellenberger, N. (2015). Reaching
the global community during disasters: Findings from a content analysis of the organizational use of Twitter after the 2010
Haiti earthquake. Journal of Health
Communication,
20
(6): 687–696.
Hall, E. (1976). Beyond
Culture. New York, NY: Doubleday.
Harrison, C. (2003). “Visual
Social Semiotics: Understanding How Still Images Make Meaning.” Technical
Communication 50(1): 46–60.
Hofstede, G. (1993). Cultures
and organizations: Software of the mind. Administrative Science
Quarterly, 38 (1), 132–134.
Howard, P. N., Kollanyi, B., Bradshaw, S., Neudert, L-M. (2017). Social
media, news and political information during the U.S. election: Was polarizing content concentrated in swing
states? The Project on Computational Propaganda, Oxford Internet Institute, University of Oxford, September 28. Taken from:
lmneudert [URL]
Isaac, M., & Ember, S. (2016). For
election day influence, Twitter ruled social media. The New York
Times, November 8, B31.
Jang, M., & Park, Y. J. (2017). Redirecting
the focus of the agenda: Testing the zero-sum dynamics of media attention in news and user-generated
media. Journal of International
Communication
11
1: 3998–4017.
Jensen, K. B. (1991). “Reception
Analysis: Mass Communication as the Social Production of
Meaning.” In K. Jensen and N. Jankowski (eds.), A
Handbook of Qualitative Methodologies for Mass Communication
Research. London: Routledge, pp. 135–149.
Kiousis, S., Kim, J. Y., Ragas, M. (2015). Exploring
new frontiers of agenda building during the 2012 US presidential election pre-convention
period. Journalism
Studies,
16
(3): 363–382.
Kobré, K. (1999). Editing
for Intimacy Visual Communication
Quarterly
6(2): 18–19.
Kottasova, I. (2016). A
third of pro-Trump tweets are generated by
bots. CNN.com, October 18. Taken
from: [URL]
Lee, N. Y., Kim, Y., & Kim, J. (2015). Tweeting
public affairs or personal affairs? Journalists’ tweets, interactivity, and
ideology. Journalism,
17
(7), 845–864.
Lewis, S. C., Zamith, R., & Hermida, A. (2013). Content analysis in the era of Big Data: A hybrid approach to computational and manual methods. Journal of Broadcasting & Electronic Media, 57(1): 34–52.
Lynch, M. (2016). Fake
news and the internet shell game. The New York
Times, November 281: A-29.
McCombs, M. E., & Shaw, D. L. (1972). The
agenda-setting function of mass media. Public Opinion
Quarterly,
36
1: 176–187.
McIntire, M. (2016). How
a Putin fan overseas pushed pro-Trump propaganda to Americans. The New York
Times, December 17. Taken from: [URL]
Meyers-Levy, J. and L. A. Peracchio. (1995). “Understanding
the Effects of Color: How the Correspondence between Available and Required Resources Affects
Attitudes.” The Journal of Consumer
Research 22(2): 121–138.
Miller, A., & LaPoe, V. (2016). Visual
agenda-setting, emotion, and the BP oil disaster. Visual Communication
Quarterly,
23
1: 53–63.
O’Boyle, J., & Pardun, C. J. (2021). How
Twitter drives the global news agenda: Tweets from Brazil, Russia, India, China, the UK and US and online discourse about the
2016 US presidential Election. Global Media and Communication. Online
at
Patterson, T. E. (2016). News
coverage of the 2016 general election: How the press failed the voters. Taken
from: [URL]
Pereira, F., & Biachi, M. M. (2016). Women
in the 2010 Brazilian presidential elections: Two weekly magazines’ discourses on women
candidates. Critical Discourse
Studies,
13
(4): 411–428.
Schill, D. (2012). The
visual image and the political image: A review of visual communication research in the field of political
communication. Review of
Communication,
12
1: 118–142.
Shane, S. (2017). The
Fake Americans Russia Created to Influence the Election, The New York
Times, September 7. Taken from: [URL]
Timberg, C. (2017). As
conservative Twitter use sleeps, his account is hard at work. The Washington
Post, February 5. Taken from [URL]
Tunstall, J. (2008). The
media were American. London: Oxford University Press.
Xiang, D. (2013). China’s
image on international English language social media. The Journal of International
Communication,
19
(2): 252–271.
Cited by (1)
Cited by one other publication
Galgoczy, Michael C., Atharva Phatak, Danielle Vinson, Vijay K. Mago & Philippe J. Giabbanelli
2022.
(Re)shaping online narratives: when bots promote the message of President Trump during his first impeachment.
PeerJ Computer Science 8
► pp. e947 ff.
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