Abstract
To detect subjective intentions in a multimedia news item and help users avoid the misleading, we propose a Material-Opinion model for ranking the multimedia news with a credibility score. In the model, material is the visual description of the video news. Opinion consists of the subjective words extracted from the surrounding text (or closed captions) of that video news. After extracting materials and opinions from multimedia news items, we compare any two news items to compute their material and opinion dissimilarities, respectively. By considering the support relationship between material and opinion, we compute a credibility score for each multimedia news item. Intuitively, the credibility score of a video news item consists of material and opinion credibility scores. In the event, material credibility score is computed based on the idea that high credible material should be used in most items and they support similar opinions. On the other hand, the idea of computing opinion credibility score is that high credible opinion should be claimed in most news items by using different materials. In this paper, we also present the experiment results that validate our methods.
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
Preview
Unable to display preview. Download preview PDF.
References
Jiang, T., Li, M.: On the Approximation of Shortest Common Supersequences and Longest Common Subsequences. In: Shamir, E., Abiteboul, S. (eds.) ICALP 1994. LNCS, vol. 820, pp. 191–202. Springer, Heidelberg (1994)
Mckeown, K.R., Barzilay, R., Evans, D., Hatzivassiloglou, V., Klavans, J.L., Nenkova, A., Sable, C., Schiffman, B., Sigelman, S.: Tracking and Summarizing News on a Daily Basis with Columbia’s Newsblaster. In: Proc. of Human Language Technology Conference (2002)
Taku, K.: CaboCha: Yet Another Japanese Dependency Structure Analyzer (online). Technical report, Nara Institute of Science and Technology (2004)
Hu, M., Liu, B.: Mining and Summarizing Customer Reviews. In: Proc. of the Tenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp. 168–177 (2004)
Nadamoto, A., Ma, Q., Tanaka, K.: B-CWB: Bilingual Comparative Web Browser Based on Content-Synchronization and Viewpoint Retrieval. World Wide Web Journal 8(3), 347–367 (2005)
Ma, Q., Nadamoto, A., Tanaka, K.: Complementary Information Retrieval for Cross-Media News Content. Information System 31(7), 659–678 (2005)
Radev, D., Otterbacher, J., Winkel, A., Blair-Goldensohn, S.: NewsInEssence: Summarizing Online News Topics. Communication of the ACM 48, 95–98 (2005)
Pang, B., Lee, L.: Opinion Mining and Sentiment. Foundations and Trends in Information Retrieval 2(1-2), 1–135 (2008)
Park, S., Kang, S., Chung, S., Song, J.: NewsCube: Delivering Multiple Aspects of News to Mitigate Media Bias. In: Proc. of 27th International Conference on Human Factors in Computing Systems (CHI 2009), pp. 443–452 (2009)
Yamamoto, Y., Tanaka, K.: Finding Comparative Facts and Aspects for Judging the Credibility of Uncertain Facts. In: Vossen, G., Long, D.D.E., Yu, J.X. (eds.) WISE 2009. LNCS, vol. 5802, pp. 291–305. Springer, Heidelberg (2009)
Xu, L., Ma, Q., Yoshikawa, M.: A Cross-media Method of Stakeholder Extraction for News Contents Analysis. In: Chen, L., Tang, C., Yang, J., Gao, Y. (eds.) WAIM 2010. LNCS, vol. 6184, pp. 232–237. Springer, Heidelberg (2010)
Yamamoto, Y., Tanaka, K.: ImageAlert: Credibility Analysis of Text-Image Pairs on the Web. In: Proc. of 26th ACM Symposium on Applied Computing, SAC 2011 (2011)
Ishida, S.: Comparative Analysis of News Agencies by Extracting Entity Descriptions and Its Application, Thesis Paper of Master Course (2011)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2011 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Xu, L., Ma, Q., Yoshikawa, M. (2011). Credibility-Oriented Ranking of Multimedia News Based on a Material-Opinion Model. In: Wang, H., Li, S., Oyama, S., Hu, X., Qian, T. (eds) Web-Age Information Management. WAIM 2011. Lecture Notes in Computer Science, vol 6897. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23535-1_26
Download citation
DOI: https://doi.org/10.1007/978-3-642-23535-1_26
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-23534-4
Online ISBN: 978-3-642-23535-1
eBook Packages: Computer ScienceComputer Science (R0)