The DOI matches its Crossref record; 18 of the 18 references it cites were found in a registry or an index.
Who says what to whom on twitter
Abstract
We study several longstanding questions in media communications research, in the context of the microblogging service Twitter, regarding the production, flow, and consumption of information. To do so, we exploit a recently introduced feature of Twitter known as "lists" to distinguish between elite users - by which we mean celebrities, bloggers, and representatives of media outlets and other formal organizations - and ordinary users. Based on this classification, we find a striking concentration of attention on Twitter, in that roughly 50% of URLs consumed are generated by just 20K elite users, where the media produces the most information, but celebrities are the most followed. We also find significant homophily within categories: celebrities listen to celebrities, while bloggers listen to bloggers etc; however, bloggers in general rebroadcast more information than the other categories. Next we re-examine the classical "two-step flow" theory of communications, finding considerable support for it on Twitter. Third, we find that URLs broadcast by different categories of users or containing different types of content exhibit systematically different lifespans. And finally, we examine the attention paid by the different user categories to different news topics.
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Cites
What is Twitter, a social network or a news media?
Kwak, H., Lee, C., Park, H., & Moon, S. (2010) · Proceedings of the 19th international conference on World wide web · doi:10.1145/1772690.1772751 · Cited by 6,652
Measuring user influence in twitter: The million follower fallacy
Cha, M., Haddadi, H., Benevenuto, F., & Gummadi, K. (2010) · Proceedings of the International AAAI Conference on Web and Social Media · doi:10.1609/icwsm.v4i1.14033 · Cited by 3,022 · cited 1×
“[3] compared three measures of influence—number”
(2004) · Choice Reviews Online · doi:10.5860/choice.42-1645 · Cited by 2,925
The People's Choice: How the Voter Makes Up His Mind in a Presidential Campaign
Lazarsfeld, P. F., Berelson, B., & Gaudet, H. (1968) · Cited by 2,410
The structure and function of communication in society
Lasswell, H. D. (2007) · Cited by 2,238
Personal Influence: The Part Played by People in the Flow of Mass Communications
Willigan, W. L., Katz, E., & Lazarsfeld, P. F. (1956) · The American Catholic Sociological Review · doi:10.2307/3708755 · Cited by 2,157
Personal Influence: The Part Played by People in the Flow of Mass Communications
Roshwalb, I., Katz, E., & Lazarsfeld, P. F. (1956) · Journal of Marketing · doi:10.2307/1247718 · Cited by 1,880
TwitterRank: finding topic-sensitive influential twitterers
Weng, J., Lim, E.-P., Jiang, J., & He, Q. (2010) · Proceedings of the third ACM international conference on Web search and data mining · doi:10.1145/1718487.1718520 · Cited by 1,742
Empirical Analysis of an Evolving Social Network
Kossinets, G., & Watts, D. J. (2006) · Science · doi:10.1126/science.1116869 · Cited by 1,723
Self-citationA New Era of Minimal Effects? The Changing Foundations of Political Communication
Bennett, W. L., & Iyengar, S. (2008) · Journal of Communication · doi:10.1111/j.1460-2466.2008.00410.x · Cited by 1,558
Cited by
boyd, D., & Crawford, K. (2012) · Information, Communication & Society · doi:10.1080/1369118x.2012.678878 · Cited by 5,479
The role of social networks in information diffusion
Bakshy, E., Rosenn, I., Marlow, C., & Adamic, L. (2012) · Proceedings of the 21st international conference on World Wide Web · doi:10.1145/2187836.2187907 · Cited by 1,526
Patterns of temporal variation in online media
Yang, J., & Leskovec, J. (2011) · Proceedings of the fourth ACM international conference on Web search and data mining · doi:10.1145/1935826.1935863 · Cited by 986
Birds of the Same Feather Tweet Together. Bayesian Ideal Point Estimation Using Twitter Data
Barbera, P. (2012) · doi:10.2139/ssrn.2108098 · Cited by 983
Birds of the Same Feather Tweet Together: Bayesian Ideal Point Estimation Using Twitter Data
Barberá, P. (2015) · Political Analysis · doi:10.1093/pan/mpu011 · Cited by 982
Metadata
- Authors
- Wu, S., Hofman, J. M., Mason, W. A., & Watts, D. J.
- Venue
- Proceedings of the 20th international conference on World wide web
- Publisher
- ACM
- Published
- 2011-03-28
- Pages
- 705-714
- OpenAlex
- W2112896229
- Cited by
- 957
- References
- 18
- FWCI
- 98.40
- Type
- conference paper
- Language
- en
- Open access
- closed
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- Wu, S., Hofman, J. M., Mason, W. A., & Watts, D. J. (2011). Who says what to whom on twitter. Proceedings of the 20th international conference on World wide web. https://doi.org/10.1145/1963405.1963504
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