Glossary
- OSM :
-
Online Social Media
- SVM :
-
Support Vector Machine, a machine learning technique used for classification
- Rank-SVM :
-
Rank-SVM is an application of the SVM technique; it is a pair-wise ranking method, which adaptively sorts the documents by their relevance to a specific query
- PRF :
-
Pseudo relevance feedback refers to an information retrieval technique that applies re-ranking to improve the performance of ranking results
- Centrality Measures :
-
Refers to a set of social network analysis (SNA) metrics that assigns scores to nodes based on their importance with respect to other nodes and edges in the graph
Definition
Misinformation on Twitter refers to wrong information/facts spread by users intentionally or unintentionally via their tweets.
Introduction
Emergence and advances in the Internet and mobile services over the past years have revolutionized the landscape of...
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsReferences
(2011a) http://blogs.wsj.com/indiarealtime/2011/07/15/mumbai-blasts-did-twitter-really-help/
(2011c) http://www.guardian.co.uk/uk/2011/dec/07/how-twitter-spread-rumours-riots
(2011d) http://www.guardian.co.uk/uk/2011/dec/07/twitter-riots-how-news-spread
(2011e) http://www.guardian.co.uk/uk/interactive/2011/dec/07/london-riots-twitter
Buckley C, Salton G, Allan J (1993) Automatic retrieval with locality information using SMART. NIST Special Publication (500207):59–72
Castillo C, Mendoza M, Poblete B (2011) Information credibility on twitter. In: WWW, pp 675–684. doi: 10.1145/1963405.1963500. http://chato.cl/papers/castino_mendoza_poblete_2010_twitter_credibility.pdf
De Longueville B, Smith RS, Luraschi G (2009) “omg, from here, i can see the flames!”: a use case of mining location based social networks to acquire spatiotemporal data on forest fires. In: LBSN doi:http://doi.acm.org/10.1145/1629890.1629907
Dong A, Zhang R, Kolari P, Bai J, Diaz F, Chang Y, Zheng Z, Zha H (2010) Time is of the essence: improving recency ranking using twitter data. In: WWW ’10, pp 331–340. doi:http://doi.acm.org/10.1145/1772690.1772725. http://doi.acm.org/10.1145/1772690.1772725
Gupta A, Kumaraguru P (2012) Credibility ranking of tweets during high impact events. In: Proceedings of the 1st workshop on privacy and security in online social media in conjunction with WWW’12. ACM, Lyon. PSOSM ’12
Hughes AL, Palen L (2010) Twitter adoption and use in crisis twitter adoption and use in mass convergence and emergency events. In: ISCRAM
Järvelin K, Kekäläinen J (2002) Cumulated gain-based evaluation of ir techniques. ACM Trans Inf Syst 20(4):422
Kwak H, Lee C, Park H, Moon S (2010) What is twitter, a social network or a news media? In: WWW ’10. doi: http://doi.acm.org/10.1145/1772690.1772751. http://doi.acm.org/10.1145/1772690.1772751
Oh O, Agrawal M, Rao HR (2011) Information control and terrorism: tracking the mumbai terrorist attack through twitter. Inf Syst Front 13(1):33–43. http://dblp.uni-trier.de/db/journals/isf/isf13.html
Ratkiewicz J, Conover M, Meiss M, Gonçalves B, Patil S, Flammini A, Menczer F (2011) Truthy: mapping the spread of astroturf in microblog streams. In: WWW ’11. http://truthy.indiana.edu/
Robertson SE, Walker S, Beaulieu M (1999) Okapi at trec-7: automatic ad hoc, filtering, vlc and interactive track. TREC-7
Sakaki T, Okazaki M, Matsuo Y (2010) Earthquake shakes twitter users: real-time event detection by social sensors. In: WWW ’10, Raleigh
Verma S, Vieweg S, Corvey WJ, Palen L, Martin JH, Palmer M, Schram A, Anderson KM (2011) Nlp to the rescue? extracting “situational awareness” tweets during mass emergency. In: ICWSM, Barcelona
Vieweg S, Hughes AL, Starbird K, Palen L (2010) Microblogging during two natural hazards events: what twitter may contribute to situational awareness. In: CHI, CHI ’10, pp 1079–1088. http://doi.acm.org/10.1145/1753326.1753486
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2014 Springer Science+Business Media New York
About this entry
Cite this entry
Gupta, A., Kumaraguru, P. (2014). Misinformation in Social Networks, Analyzing Twitter During Crisis Events. In: Alhajj, R., Rokne, J. (eds) Encyclopedia of Social Network Analysis and Mining. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-6170-8_296
Download citation
DOI: https://doi.org/10.1007/978-1-4614-6170-8_296
Published:
Publisher Name: Springer, New York, NY
Print ISBN: 978-1-4614-6169-2
Online ISBN: 978-1-4614-6170-8
eBook Packages: Computer ScienceReference Module Computer Science and Engineering