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Testing the event witnessing status of micro-bloggers from evidence in their micro-blogs.
- Source :
-
PLoS ONE . 12/12/2017, Vol. 12 Issue 12, p1-33. 33p. - Publication Year :
- 2017
-
Abstract
- This paper demonstrates a framework of processes for identifying potential witnesses of events from evidence they post to social media. The research defines original evidence models for micro-blog content sources, the relative uncertainty of different evidence types, and models for testing evidence by combination. Methods to filter and extract evidence using automated and semi-automated means are demonstrated using a Twitter case study event. Further, an implementation to test extracted evidence using Dempster Shafer Theory of Evidence are presented. The results indicate that the inclusion of evidence from micro-blog text and linked image content can increase the number of micro-bloggers identified at events, in comparison to the number of micro-bloggers identified from geotags alone. Additionally, the number of micro-bloggers that can be tested for evidence corroboration or conflict, is increased by incorporating evidence identified in their posting history. [ABSTRACT FROM AUTHOR]
- Subjects :
- *MICROBLOGS
*SOCIAL media
*COMPUTER simulation
*APPLIED mathematics
*SOCIAL networks
Subjects
Details
- Language :
- English
- ISSN :
- 19326203
- Volume :
- 12
- Issue :
- 12
- Database :
- Academic Search Index
- Journal :
- PLoS ONE
- Publication Type :
- Academic Journal
- Accession number :
- 126713683
- Full Text :
- https://doi.org/10.1371/journal.pone.0189378