Content and Interaction Analysis of Online Media

We explore methods for modeling and understanding the type of information flow between two heterogeneous information media - news and Twitter; identify major interaction patterns; capture distinct topics for individual datasets as well as topic influences among multiple datasets.

• Determining Relative Airport Threats from News and Social Media.
  Rupinder Paul Khandpur, Taoran Ji, Yue Ning, Liang Zhao, Chang-Tien Lu, Erik Smith, Christopher Adams, Naren Ramakrishnan.
  In Proceedings of the 29th Conference on Innovative Applications of Artifical Intelligence (IAAI’17).
  [ pdf | bibtex ]

• Topical Analysis of Interactions Between News and Social Media.
  Ting Hua, Yue Ning, Feng Chen, Chang-Tien Lu, Naren Ramakrishnan.
  In Proceedings of the 30th AAAI Conference on Artificial Intelligence (AAAI’16).
  [ pdf | bibtex ]

• Uncovering News-Twitter Reciprocity via Interaction Patterns.
  Yue Ning, Sathappan Muthiah, Ravi Tandon, Naren Ramakrishnan.
  In Proceedings of the IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM’15).
  [ pdf | slides | bibtex ]