Community Intelligence and Social Media Services: A Rumor Theoretic Analysis of Tweets During Social Crises

By Onook Oh, Manish Agrawal, H. Rao. MIS Q., 2013

615 citations recorded by the source corpus.

Subfields: Sociology and Political Science, Statistical and Nonlinear Physics

View Paper: https://www.semanticscholar.org/paper/a884f71a3cd7c198fdd2a4c1951f71f2c7c50ac6

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Sociology and Political Science

1. Nripendra P. Rana
2. Kuttimani Tamilmani
3. Yogesh Kumar Dwivedi
4. Pushp P. Patil
5. Stefan Stieglitz
6. Axel Bruns
7. Ali Abdallah Alalwan
8. Samuel Fosso Wamba

In Statistical and Nonlinear Physics

1. Axel Bruns
2. Stefan Stieglitz
3. Yogesh Kumar Dwivedi

Citations in the corpus

• Advances in Social Media Research: Past, Present and Future (2017, background): “Interestingly, most of the studies documenting this aspect of social media used Twitter data for their analyses (for instance, Oh et al. 2013; Lee et al. 2015a).”
• Twitter data: What do they represent? (2014, background): “Hashtag research provides an opportunity to examine how communities gather and interact around shared topics from politics [4, 20, 21, 38] and brands [19] through crises [10, 25, 33, 36, 37] to entertainment [13, 16, 17], and comparisons of activity patterns across hashtags are also possible, though”