Projects Members Publications Network
Computing Lab.

About :

The TIMES research group aims to develop technologies promoting media literacy, to improve the quality of journalism and public discourse. The Internet gives us unprecedented opportunities to create and experiment new types of public spheres, where people access and evaluate news and discuss public issues. We design advanced news services, develop related technologies, and study their social impacts. Our work is highly cross-disciplinary, bridging between mass communication and journalism, web science and information retrieval, and human computer interaction. We conduct research on various issues related to Internet news including

  • Tools and techniques for publishing, distribution, and sharing of news
  • New (social) media applications; interfaces; interaction techniques
  • Mass collaboration platforms for participatory news media
  • Media bias in Internet journalism
  • Media consumption behavior monitoring and analysis
  • Models for credibility, reputation, quality of news
  • Projects :

    NewsCube: A Computational Framework for Media Bias Mitigation

    This work is the first, unique attempt to resolve the media bias problem using computational methods. The bias of news media is an inherent flaw of the news production process, spanning news gathering, writing, and editing stages. At every single stage, news is probably never free from the producer's subjective valuation and external forces including owners and advertisers. The resulting bias often causes a sharp increase in political polarization and distorts social awareness on critical public issues such as Iraq war. The work provides a novel potential solution to the problem through NewsCube, an online Internet news service which can effectively mitigate the effect of media bias. NewsCube creates and promptly provides readers with multiple classified viewpoints on a news event of interest. It effectively helps readers understand a fact from a plural of viewpoints and formulate their own, more balanced viewpoints free from specific biased views.

    Enhancing Accountability of Journalists: A Computational Approach

    This work aims to develop a reporter monitoring framework, which continuously monitors the quality of individual journalists. With the rapid growth of the Internet, readers are increasingly overwhelmed with diverse media contents. Reporters often concentrate on simply grabbing readers' attention, rather than on improving the quality of their coverage. Some of them exploit sensationalism, heavily rely on press releases, and mass produce shallow coverage. The framework approaches to trace and evaluate each publication of reporters, and disclose the overall quality of reporters.

    Members :

    Current

    Souneil Park
    Ph.D. Candidate, Computer Science Dept. KAIST.

    Seungwoo Kang
    Ph.D. Candidate, Computer Science Dept. KAIST.

    SangJeong Lee
    Ph.D. Candidate, Computer Science Dept. KAIST.

    Junehwa Song
    Prof. Computer Science Dept. KAIST.
    Prof. Graduate School of Culture Technology. KAIST.

    Past

    Sangyoung Chung
    Software Engineer, Samsung Elec.

    Youngju Sohn
    Software Engineer, NHN Corp.

    About Projects

    Publications :

    Souneil Park, Kyung Soon Lee, and Junehwa Song. "Contrasting Opposing Views of News Articles on Contentious Issues", accepted to the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies (ACL 2011)

    Souneil Park, Minsam Ko, Jungwoo Kim, Hojin Choi, and Junehwa Song. "NewsCube 2.0: An Exploratory Design of a Social News Website for Media Bias Mitigation", 2nd International Workshop on Social Recommender Systems (In conjunction with CSCW 2011)

    Souneil Park, Minsam Ko, Jungwoo Kim, Ying Liu, and Junehwa Song."The Politics of Comments: Predicting Political Orientation of News Stories with Commenters' Sentiment Patterns", to appear in Proceedings of the 2011 ACM Conference on Computer Supported Cooperative Work (CSCW 2011).

    Souneil Park, SangJeong Lee, Junehwa Song, Aspect-level News Browsing: Understanding News Events from Multiple Viewpoints,Proc. of ACM IUI 2010, Feb. 2010, Hong Kong

    Souneil Park, Seungwoo Kang, Sangyoung Chung, Junehwa Song, NewsCube: Delivering Multiple Aspects of News to Mitigate Media Bias,Proc. of CHI 2009, April 2009, Boston.

    Souneil Park, Seungwoo Kang, Sangjeong Lee, Sangyoung Chung, Junehwa Song, Mitigating Media Bias: A Computational Approach, Proc. of Web Science: Collaboration and Collective Intelligence , June 2008, Pittsburgh.

    Souneil Park, SangJeong Lee, Seungwoo Kang, Sangyoung Chung, Hyunju Kong, Junehwa Song, Aspect-based Clustering to Mtigiate Media Bias, KAIST Technical Report CS-TR-2008-282, Jan. 2008

    Junehwa Song and Boon-Lock Yeo, Spatially Reduced Image Extraction from MPEG-2 Video: Fast Algorithms and Applications, Proc. of SPIE Conference on Storage and Retrieval for Image and Video Databases VI, pp. 93-107, January 1998.

    Byunghee Jung, T. Kwak, Junehwa Song, and Yoonjoon Lee, Narrative Abstraction Model for Story-oriented Video, Proc. of ACM Multimedia Conference (MM'04), October 2004.

    Junehwa Song, Asit Dan, and Dinkar Sitaram, Efficient Retrieval of Composite Multimedia Objects in JINSIL Distributed System, Proc. of ACM SIGMETRICS International Conference on Measurement and Modeling of Computer Systems, pp. 260-271, June 1997.

    Junehwa Song, M. Kim, G. Ramalingam, R. Miller, and B. Yi, Interactive Authoring of Multimedia Documents, Proc.of IEEE International Symposium on Visual Languages, pp. 276-283, September 1996.

    Junehwa Song, M. Kim, Asser Tantawi, Yurdaer Doganata, Modeling Timed User Interactions in Multimedia Documents, Proc. of IEEE International Conference on Multimedia Computing and Systems, pp. 407-416, June 1996.

    Junehwa Song and M. Kim, Multimedia Documents with Elastic Time, Proc. of ACM Multimedia Conference, pp. 143-154, November 1995.

    Byunghee Jung, Junehwa Song and Yoonjoon Lee," A Narrative Based Abstraction Framework for Story-Oriented Video", ACM Transactions on Multimedia Computing, Communications, and Applications, Vol.3, No.2, Article 11, May 2007

    Junehwa Song and Boon-Lock Yeo, Fast Extraction of Spatially Reduced Image Sequences from MPEG-2 Compressed Video, IEEE Transactions on Circuits and Systems for Video Technology, Vol 9, No 7, pp 1100-1114, Oct. 1999

    J. Song, G. Ramalingam, R. Miller, and B. Yi, Interactive Authoring of Multimedia Documents in a Constraint-based Authoring System, Multimedia Systems, Vol 7, No 5, pp 424-437, Sep. 1999

    Asit Dan, Dinkar Sitaram, and Junehwa Song BRAHMA: a Browsing and Retrieval Architecture for Hierarchical Multimedia Annotation, Multimedia Tools and Applications, Vol 7, pp 83-101, 1998 (Also earlier version appeared in Proceedings of 2nd International Workshop on Multimedia Information Systems, September 1996).