The production of knowledge from ever increasing amount of social data is seen by many organizations as an increasingly important capability that can complement the traditional analytics sources. Examples include extracting knowledge and deriving insights from social data to improve government services, predict intelligence activities, personalize the advertisements in elections and improve national security and public health. Understanding social data can be challenging as the analysis goal can be subjective. In this context, storytelling is considered as an appropriate metaphor as it facilitates understanding and surfacing insights which is embedded within the data. In this paper, we focus on the research problem of ‘understanding the social data’ in general and more particularly the curation, summarization and presentation of large amounts of social data. The goal is to enable intelligent narrative construction based on the important features (extracted and ranked automatically) and enable storytelling at multiple levels and from different views using novel summarization techniques. We implement an interactive storytelling dashboard, namely iStory, and focus on a motivating scenario for analyzing Urban Social Issues from Twitter as it relates to the Australian Government Budget, to highlight how storytelling can significantly facilitate understanding social data.
|Title of host publication||The Web Conference 2020|
|Subtitle of host publication||Companion of the World Wide Web Conference WWW 2020|
|Place of Publication||New York, NY|
|Publisher||Association for Computing Machinery (ACM)|
|Number of pages||4|
|Publication status||Published - 2020|
|Event||The Web Conference (29th : 2020)|
- Taipei, Taiwan, Province of China
Duration: 20 Apr 2020 → 24 Apr 2020
|Name||The World Wide Web (WWW) Conference|
|Conference||The Web Conference (29th : 2020)|
|Country||Taiwan, Province of China|
|Period||20/04/20 → 24/04/20|
Bibliographical noteCopyright the Publisher 2020. Version archived for private and non-commercial use with the permission of the author/s and according to publisher conditions. For further rights please contact the publisher.
Beheshti, A., Tabebordbar, A., & Benatallah, B. (2020). iStory: intelligent storytelling with social data. In The Web Conference 2020: Companion of the World Wide Web Conference WWW 2020 (pp. 253-256). (The World Wide Web (WWW) Conference). New York, NY: Association for Computing Machinery (ACM). https://doi.org/10.1145/3366424.3383553