iStory

intelligent storytelling with social data

Amin Beheshti*, Alireza Tabebordbar, Boualem Benatallah

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contribution

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Abstract

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.
Original languageEnglish
Title of host publicationThe Web Conference 2020
Subtitle of host publicationCompanion of the World Wide Web Conference WWW 2020
Place of PublicationNew York, NY
PublisherAssociation for Computing Machinery (ACM)
Pages253-256
Number of pages4
ISBN (Print)9781450370240
DOIs
Publication statusPublished - 2020
EventThe Web Conference (29th : 2020)
- Taipei, Taiwan, Province of China
Duration: 20 Apr 202024 Apr 2020

Publication series

NameThe World Wide Web (WWW) Conference
PublisherACM

Conference

ConferenceThe Web Conference (29th : 2020)
CountryTaiwan, Province of China
CityTaipei
Period20/04/2024/04/20

Bibliographical note

Copyright 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.

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    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