Abstract
‘There’s no art to find the mind’s construction in the face,’ wrote Shakespeare, but trying to infer what someone is really thinking is arguably the essence of interaction between cognitive agents. Turning this into a computational model is challenging, but one possible approach to infer mental models from linguistic expression is to look at patterns of lexical associations. Assuming that written language reflects conceptual associations in the writer’s mind, we have previously shown differences in the patterns of lexical association between creative and non-creative writing. In this paper, we apply the same approach to news reports from individual media sources over the same period, with the goal of looking for differential associative patterns. The underlying assumption is that the associative patterns of a media source will reflect its “mind” and “personality,” i.e., specific styles, preferences, or biases, just as they do for individuals.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Benamara, F., Cesarano, C., Picariello, A., Reforgiato, D., Subrahmanian, V.: Sentiment analysis: adjectives and adverbs are better than adjectives alone. In: International AAAI Conference on Weblogs and Social Media (ICWSM), pp. 203–206 (2007)
Blei, D., Ng, A., Jordan, M., Lafferty, J.: Latent Dirichlet allocation. J. Mach. Learn. Res. 3, 993–1022 (2003)
Cesarano, C., Picariello, A., Reforgiato, D., Subrahmanian, V.: The OASYS 2.0 opinion analysis system. In: International AAAI Conference on Weblogs and Social Media (ICWSM), pp. 313–314 (2007)
Doumit, S., Marupaka, N., Minai, A.A.: Thinking in prose and poetry: a semantic neural model. In: Proceedings of IJCNN (2013)
Doumit, S., Minai, A.A.: Effect of associative rules on the dynamics of conceptual combination in a neurodynamical model. In: Proceedings of IJCNN (2015)
Gerner, D., Abu-Jabr, R., Schrodt, P., Yilmaz, O.: Conflict and mediation event observations (cameo): a new event data framework for the analysis of foreign policy interactions. In: International Studies Association of Foreign Policy Interactions (2002)
Marupaka, N., Iyer, L.R., Minai, A.A.: Connectivity and thought: the influence of semantic network structure in a neurodynamical model of thinking. Neural Netw. 32, 147–158 (2012)
Media Insight Project & Associated Press-NORC Center for Public Affairs Research: The personal news cycle: how Americans choose to get their news. American Press Institute (2014)
Mei, M., Vanarase, A., Minai, A.A.: Chunks of thought: finding salient semantic structures in texts. In: Proceedings of IJCNN (2014)
Doumit, S., Minai, A.: Semantic knowledge inference from online news media using an LDA-NLP approach, vol. 21. IEEE (2011)
Tomlinson, R.: World event/interaction survey (WEIS) coding manual. Department of Political Science, United States Naval Academy, Annapolis (1993)
Acknowledgment
This work was supported in part by National Science Foundation INSPIRE grant BCS-1247971 to Ali Minai.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2018 Springer Nature Switzerland AG
About this paper
Cite this paper
Doumit, S., Minai, A.A. (2018). Reading the Media’s Mind. In: Morales, A., Gershenson, C., Braha, D., Minai, A., Bar-Yam, Y. (eds) Unifying Themes in Complex Systems IX. ICCS 2018. Springer Proceedings in Complexity. Springer, Cham. https://doi.org/10.1007/978-3-319-96661-8_41
Download citation
DOI: https://doi.org/10.1007/978-3-319-96661-8_41
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-96660-1
Online ISBN: 978-3-319-96661-8
eBook Packages: Physics and AstronomyPhysics and Astronomy (R0)