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How and Why Some IssuesSpread Fast in Social Media

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Abstract (2. Language): 
This paper brings together current insights from various disciplines into the spreading of social media posts.By astructured literature review of peer-reviewed literature 39 recent articles on diffusion in social media were located. The search spanned 10 years, although all the papers found were published after 2009, indicating that the examination and observation of spread patterns in social media is still in an early stage. The analysisfocused on spread patterns and factors that may explain how rapidly issues spread in the online environment. Based on the findings, from an organizational perspective a model is constructed and directions for future research are suggested.The model focuses on characteristics of the issue, of the social media involved, actor resources and general factors. A better understanding of how social media posts spread helps organizations to be prepared for upcoming issues and crises, such as launching early rumour detection to prevent losses in organizational and brand image.
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REFERENCES

References: 

References
(Sources derived from the structured literature review are marked with an asterisk.) Anderson, I. K. (2011).The uses and gratifications of online care pages: a study of
CaringBridge./Zealth communication,26(6),546-559. * Banerjee, S.& Agarwal, N. (2012).Analyzing collective behavior from blogs using swarm
intelligence.Knowledge and Information Systems,33(3),523-547. * Bates, S. B.&Riedy, C. A. (2012).Changing knowledge and beliefs through an oral health
pregnancy message. Journal of public health dentistry, 72(2),104-111. * Borge-Holthoefer, J., Rivero, A.,& Moreno, Y. (2012).Locating privileged spreaders on an
online social network.Physical Review E: Statistical, Nonlinear & Soft Matter
Physics,85(6-2),1-6. *
Bosley, J. C., Zhao, N. W., Hill, S., Shofer, F. S., Asch, D. A., Becker, L. B.,& Merchant, R.
M. (2013). Decoding twitter: Surveillance and trends for cardiac arrest and
resuscitation communication.Resuscitation, 84, 206-212. * Bronstein, J. (2013). Like me! Analyzing the 2012 presidential candidates' Facebook
pages.Online Information Review,37(2),173-192. * Byron, P., Albury, K.,& Evers, C. (2013).It would be weird to have that on Facebook: young
people's use of social media and the risk of sharing sexual health
information.Reproductive health matters,21(41),35-44. * Cain, J.,Romanelli, F.,& Fox, B. (2010).Pharmacy, social media, and health: Opportunity for
impact. Journal of the American Pharmacists Association: JAPhA, 50(6),745-751. * Castells, M. (2009), Communication power. Oxford University Press: Oxford. Choudhury, M. de, Lin, Y-R., Sundaram, H., Candan, K. S., Xie, L., &Kelliher, A.
(2010).How Does the Sampling Strategy Impact the Discovery of Information
Diffusion in Social Media? In Proceedings of the 4th Int'l AAAI Conference on
Weblogs and Social Media,34-41.Retrieved from
http://www. aaai.org/ocs/index.php/ICW SM/ICW SM10/paper/view/1521/1832 Coombs, W.T. (2002). Assessing online issue threats: issue contagions and their effects on issue
© Online Journal of Communication and Media Technologies
Online Journal of Communication and Media Technologies
Volume: 5 - Issue: 1 - January- 2015
prioritizati on .Journal of Public Affairs,2,215-229.
Desai, T., Shariff, A., Shariff, A., Kats, M., Fang, X., Christiano, C.,& Ferris, M.
(2012).Tweeting the Meeting: An In-Depth Analysis of Twitter Activity at Kidney
Week 2011 PLoS ONE, 7(7),1-9. * Doerr, C., Blenn, N.,&Mieghem, P. V. (2013).Lognormal Infection Times of Online
Information Spread.PLoS One,8(5).* Fan, D., Geddes, D., & Flory, F. (2013).The Toyota Recall Crisis: Media Impact on Toyota's
Corporate Brand Reputation.Corporate Reputation Review, 16(2),99-117. * Farshid, M., Plangger, K.,&Nel, D. (2011).The social media faces of major global financial
service brands. Journal of Financial Services Marketing,16(3),,220-229. * Fernando, I. (2010). Community Creation by Means of a Social Media Paradigm. The
Learning Organization, 17(6),500-514. * Freberg, K. (2012). Intention to comply with crisis messages communicated via social
media.Public Relations Review, 38(3),416-421. * Gonzâlez-Bailön, S., Borge-Holthoefer, J.,& Moreno, Y. (2013).Broadcasters and Hidden
Influentials in Online Protest Diffusion.American Behavioral
Scientist,57(7),943-965. *
Granovetter, M. (1973).The strength of weak ties.American Journal of
Sociology,78(6),1360-1380. *
Gruzd, A., Wellman, B.,&Takhteyev, Y. (2011).Imagining Twitter as an Imagined
Community.American Behavioral Scientist,55(10),1294-1318. * Heath, R. (1998). New communication technologies: An issue management point of
view.Public Relations Review,24(3),273-288. Hiltz, S. R., Diaz, P.,& Mark, G. (2011).Introduction: Social media and collaborative systems
for crisis management.ACM Transactions on Computer-Human
Interaction, 18(4),1-6. * Keelan, J., Pavri, V., Balakrishnan, R.,& Wilson, K. (2010). An analysis of the Human
Papilloma Virus vaccine debate on MySpace blogs.jaccine,28(6),1535-1540. Kiernan, M., & Wigglesworth, N. (2011).The use of social media in the dissemination of
© Online Journal of Communication and Media Technologies
110
Online Journal
o
f Communication and Media Technologies
Volume: 5 - Issue: 1 - January- 2015
information from scientific meetings. Journal of Infection Prevention,12(6),224-225.
*
Kumar, V.,&Mirchandani, R. (2012).Increasing the ROI of Social Media Marketing.MIT
Sloan Management Review, 52(1),55-61. * Lau, A. Y. S., Gabarron, E., Fernandez-Luque, L., &Armayones, M. (2012).Social media in
health - what are the safety concerns for health consumers?Health Information
Management Journal, 41(2),30-35. * Lawrence, R., Melville, P., Perlich, C., Sindhwani, V., Meliksetian, S., Hsueh, P.-Y.,& Liu, Y.
(2010).Social media analytics.OR-MS Today,37r(1),26. * Leskelâ, L (2008). Stochastic relations of random variables and processes. Journal of
TheoreticalProbability,23(2), 524-546. * Li, Y.-M., &Shiu, Y.-L.(2012). A diffusion mechanism for social advertising over
microblogs.Decision SupportSystems,54(1),9-22. * Luoma-aho, V., &Vos, M. (2010).Towards a more dynamic stakeholder model: The role of
issue arenas for corporate reputation. Corporate Communication, an International
Journal, 15(3),315-331. Merilâinen, N.,&Vos, M. (2013).Framing issues in the public debate: the case of human
rights. Corporate Communications, an International Journal,16(4),293-310. * Nadeem, M. (2012).Social Customer Relationship Management (SCRM): How Connecting
Social Analytics to Business Analytics Enhances Customer Care and
Loyalty?International Journal of Business and Social Science,3(21).* Nah, S.& Saxton, G. D. (2013).Modeling the adoption and use of social media by nonprofit
organizations.New Media & Society, 15(2),294-313. * Newsom, V. A.,&Lengel, L. (2012).Arab Women, Social Media, and the Arab Spring:
Applying the framework of digital reflexivity to analyze gender and online
activism.Journal of International Women's Studies,13(5),31-45.* Roloff, J. (2008). Learning from multi-stakeholder networks: Issue-focussed stakeholder
management.Journal of Business Ethics,82,233-250. Romero, D.M., Meeder, B., & Kleinberg, J. (2011). Differences in the Mechanics of
© Online Journal of Communication and Media Technologies
111
Online Journal of Communication and Media Technologies
Volume: 5 - Issue: 1 - January- 2015
Information Diffusion Across Topics: Idioms, Political Hashtags, and Complex
Contagion on Twitter. In Proceedings 20th ACM International World Wide Web
Conference,695-704.Retrieved from http://dl.acm.org/citation.cfm?id=1963503 Robichaud, P., Hawken, S., Beard, L., Morra, D., Tomlinson, G., Wilson, K.,&Keelan, J.
(2012). Vaccine-critical videos on YouTube and their impact on medical students'
attitudes about seasonal influenza immunization: A pre and post
study. paccine,30(25),3763-3770. * Rogers, E. (1995).Diffusion of Innovations. New York: Free Press. Rogers, M., Chapman, C., &Giotsas, V. (2012).Measuring the diffusion of marketing
messages across a social network. Journal of Direct, Data and Digital Marketing
Practice,14(2),97-130. * Ruggiero, A., &Vos, M. (2014).Social media monitoring for crisis communication: process,
methods and trends in the scientific literature. Online Journal of Communication
and Media Technologies, 4(1), 103-130. Sanderson, J.& Cheong, P. H. (2010).Tweeting Prayers and Communicating Grief Over
Michael Jackson Online.Bulletin of Science, Technology & Society,30(5),328-340. * Song, D (2013). Research on Information Propagation Model for Microblogging. Journal of
VVetworks,8(7),1647-1653 .Retrieved from
http://ojs.academypublisher.com/index.php/jnw/article/view/jnw0807164716...
9
Stefanidis, A., Crooks, A.&Radzikowski, J. (2013).Harvesting ambient geospatial
information from social media feeds.GeoJournal, 78(2),319-338. * 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. * Suarez-Almazor, M. (2011).Changing health behaviors with social marketing.Osteoporosis
International, 22,461-463. * Sümer, B. (2011). The importance of literature review in research design. In:
TomanicTrivundza, I., Carpentier, N., Nieminen, H., Pruulmann-Venerfeldt, P.,
© Online Journal of Communication and Media Technologies
112
Online Journal of Communication and Media Technologies
Volume: 5 - Issue: 1 - January- 2015
Killborn, R., Sundin, E., & Olsson, T., Critical Perspectives on the European
Mediasphere,219-227, Ljubljana, ECREA. Valente, T.W. & Rogers E.M. (1995). The Origins and Development of the Diffusion of
Innovations Paradigm as an Example of Scientific Growth. Science
Communication, 16,242-273. Vos, M., Schoemaker, H. and Luoma-aho, V. (2014),Setting the agenda for research on issue
arenas. Corporate Communications: an International Journal, 18(2),200-215. Wang, H. (2012). Six P's of youth social media from a young consumer's perspective. Young
Consumers,13(3),303-317. * Williams, D. L., Crittenden, V. L., Keo, T.& McCarty, P. (2012). The use of social media: an
exploratory study of usage among digital natives. Journal of Public Affairs
(14723891),12(2),127-136. * Yang, J. and Counts, S. (2010). Predicting the Speed, Scale, and Range of Information
Diffusion in Twitter. In Proceedings International AAAI Conference on Weblogs
and Social Media 2010.Retrieved from
http://www.aaai.org/ocs/index.php/ICWSM/ICWSM10/paper/viewFile/1468@misc/
1896
Zhang, M., Jansen, B. J.& Chowdhury, A. (2011). Business engagement on Twitter: a path
analysis.Electronic Markets, 21(3),161-175. * Zhao, J., Wu, J. & Xu, K. (2010).Weak ties: subtle role of information diffusion in online
social networks.Physical review E: Statistical, nonlinear, and soft matter
physics,82(1), Pt2. *
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