Abstract
Digital misinformation poses a major risk to society and thrives on cognitive, social, and algorithmic biases. As social media become engulfed in rumor, hoaxes, and fake news, a “research pipeline” for the detection, monitoring, and checking of digital misinformation is needed. This chapter gives a brief introductory survey to the main research on these topics. The problem of digital misinformation does not lie squarely within a single discipline; instead, it is informed by research in several areas. An integrated research agenda devoted to the implementation of these tools should take into account a wide range of perspectives.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
Bibliography
Adamic, L. A., & Glance, N. (2005). The political blogosphere and the 2004 US election: divided they blog. In Proceedings of the 3rd international workshop on Link discovery (pp. 36–43). ACM.
Ciampaglia, G. L., Flammini, A., & Menczer, F. (2015a). The production of information in the attention economy. Scientific Reports, 5(9452). https://doi.org/10.1038/srep09452
Ciampaglia, G. L., Shiralkar, P., Rocha, L. M., Bollen, J., Menczer, F., & Flammini. A. (2015b). Computational fact checking from knowledge networks. PLoS ONE, 10(6), e0128193.
Conover, M., Ratkiewicz, J., Francisco, M., Gonçalves, B., Flammini, A., & Menczer, F. (2011). Political polarization on Twitter. In Proc. 5th International AAAI Conference on Weblogs and Social Media (ICWSM).
Conover, M. D., Gonçalves, B., Flammini, A., & Menczer, F. (2012). Partisan asymmetries in online political activity. EPJ Data Science, 1(1), 6.
Conroy, N. J., Rubin, V. L., & Chen, Y. (2015). Automatic deception detection: Methods for finding fake news. Proceedings of the Association for Information Science and Technology, 52(1), 1–4.
Davis, C. A., Ciampaglia, G. L., Aiello, L. M., Chung, K., Conover, M. D., Ferrara, E., Flammini, A., Fox, G. C., Gao, X., Gonçalves, B., Grabowicz, P. A., Hong, K., Hui, P.-M., McCaulay, S., McKelvey, K., Meiss, M. R., Patil, S., Kankanamalage, C. P., Pentchev, V., Qiu, J., Ratkiewicz, J., Rudnick, A., Serrette, B., Shiralkar, P., Varol, O., Weng, L., Wu, T.- L., Younge, A. J., & Menczer, F. (2016). OSoMe: the IUNI observatory on social media. PeerJ Computer Science, 2(e87). https://doi.org/10.7717/peerj-cs.87
Ferrara, E., Varol, O., Davis, C., Menczer, F., & Flammini, A. (2016). The rise of social bots. Comm. ACM, 59(7), 96–104.
Fortunato, S., Flammini, A., Menczer, F., & Vespignani, A. (2006). Topical interests and the mitigation of search engine bias. Proceedings of the National Academy of Sciences, 103(34), 12684–12689.
Hassan, N., Arslan, F., Li, C., & Tremayne, M. (2017). Toward automated fact-checking: Detecting check-worthy factual claims by ClaimBuster. In Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, KDD ’17, (pp. 1803–1812). New York, NY, USA: ACM.
Hotez, P. J. (2016). Texas and its measles epidemics. PLOS Medicine, 13(10),1–5.
Howell, L. (2013). Global Risks 2013, chapter Digital Wildfires in a Hyperconnected World (pp.23–27). World Economic Forum, 2013. [Online; accessed 19-August-2015].
Joshi, A., Bhattacharyya, P., & Carman, M. J. (2016). Automatic Sarcasm Detection: A Survey. ArXiv e-prints.
Knapp, R. H. (1944). A psychology of rumor. Public opinion quarterly, 8(1), 22–37.
Lazer, D., Pentland, A., Adamic, L., Aral, S., Barabási, A.-L., Brewer, D., Christakis, N., Contractor, N., Fowler, J., Gutmann, M., Jebara, T., King, G., Macy, M., Roy, D., & Van Alstyne, M. (2009). Computational social science. Science, 323(5915), 721–723.
Liu, X., Nourbakhsh, A., Li, Q., Fang, R., & Shah, S. (2015). Real-time rumor debunking on Twitter. In Proceedings of the 24th ACM International on Conference on Information and Knowledge Management, CIKM ’15 (pp. 1867–1870). New York, NY, USA. ACM.
McPherson, M., Smith-Lovin, L., & Cook, J. M. (2001). Birds of a feather: Homophily in social networks. Annual review of sociology, 27(1), 415–444.
Takis Metaxas, P., Finn, S., & Mustafaraj, E. (2015). Using TwitterTrails.com to investigate rumor propagation. In Proceedings of the 18th ACM Conference Companion on Computer Supported Cooperative Work & Social Computing, CSCW’15 Companion (pp. 69–72). New York, USA: ACM.
Mitra, T., & Gilbert, E. (2015). CREDBANK: A large-scale social media corpus with associated credibility annotations. In Proceedings of the International AAAI Conference on Web and Social Media.
Nematzadeh, A., Ciampaglia, G. L., Ahn, Y.-Y., & Flammini. A. (2016). From conversation to cacophony: Information overload and collective communication in Twitch. ArXiv eprints.
Nematzadeh, A., Ciampaglia, G. L., Menczer, F., & Flammini, A. (2017). How algorithmic popularity bias hinders or promotes quality. ArXiv e-prints.
Qiu, X., Oliveira, D. F. M., Sahami Shirazi, A., Flammini, A., & Menczer, F. (2017). Limited individual attention and online virality of low-quality information. Nature Human Behavior, 1(0132). https://doi.org/10.1038/s41562-017-0132
Sakaki, T., Okazaki, M., & Matsuo, Y. (2010). Earthquake shakes Twitter users: real-time event detection by social sensors. In Proceedings of the 19th international conference on World Wide Web (pp. 851–860). ACM.
Salganik, M. J., Sheridan Dodds, P., & Watts, D. J. (2006). Experimental study of inequality and unpredictability in an artificial cultural market. Science, 311(5762), 854–856.
Shao, C., Ciampaglia, G. L., Flammini, A., & Menczer, F. (2016). Hoaxy: A platform for tracking online misinformation. In Proceedings of the 25th International Conference Companion on World Wide Web, WWW ’16 Companion (pp. 745–750). International World Wide Web Conferences Steering Committee.
Shao, C., Ciampaglia, G. L., Varol, O., Flammini, A., & Menczer, F. (2017). The spread of fake news by social bots. ArXiv e-prints.
Shi, B., & Weninger, T. (2016). Discriminative predicate path mining for fact checking in knowledge graphs. Knowledge-Based Systems, 104, 123–133. https://doi.org/10.1016/j.knosys.2016.04.015
Shiralkar, P., Avram, M., Ciampaglia, G. L., Menczer, F., & Flammini, A. (2017a). Relsifter: Scoring triples from typelike relations. In Proceedings of WSDM Cup 2017.
Shiralkar, P., Flammini, A., Menczer, F., & Ciampaglia, G. L. (2017b). Finding streams in knowledge graphs to support fact checking. In Proceedings of the 2017 IEEE 17th International Conference on Data Mining.
Starbird, K. (2017). Examining the alternative media ecosystem through the production of alternative narratives of mass shooting events on Twitter. In Proceedings of the International AAAI Conference on Web and Social Media (pp. 230–239). Palo Alto, California: AAAI Press.
Szabo, G. & Huberman, B. A. (2010). Predicting the popularity of online content. Communications of the ACM, 53(8), 80–88. https://doi.org/10.1145/1787234.1787254
Tambuscio, M., Oliveira, D. F. M., Ciampaglia, G. L., & Ruffo, G. (2016). Network segregation in a model of misinformation and fact checking. ArXiv e-prints.
Weedon, J., Nuland, W., & Stamos, A. (2017). Information operations and facebook. Retrieved from https://fbnewsroomus.files.wordpress.com/2017/04/facebook-and-information-operations-v1.pdf.
Weng, L., Flammini, A., Vespignani, A., & Menczer, F. (2012). Competition among memes in a world with limited attention. Scientific Reports, 2(335). https://doi.org/10.1038/srep00335
Wu, L., Morstatter, F., Hu, X., & Liu, H. (2017). Minning Misinformation in Social Media. In M. T. Thai, W. Wu & H. X. (Eds.), Big Data in Complex and Social Networks (pp. 123–152). Boca Raton, FL: CRC Press.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2018 Springer Fachmedien Wiesbaden GmbH
About this chapter
Cite this chapter
Ciampaglia, G.L. (2018). The Digital Misinformation Pipeline. In: Zlatkin-Troitschanskaia, O., Wittum, G., Dengel, A. (eds) Positive Learning in the Age of Information. Springer VS, Wiesbaden. https://doi.org/10.1007/978-3-658-19567-0_25
Download citation
DOI: https://doi.org/10.1007/978-3-658-19567-0_25
Published:
Publisher Name: Springer VS, Wiesbaden
Print ISBN: 978-3-658-19566-3
Online ISBN: 978-3-658-19567-0
eBook Packages: EducationEducation (R0)