A system for twitter user list curation

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Title: A system for twitter user list curation
Authors: Brigadir, IgorGreene, DerekCunningham, Pádraig
Permanent link: http://hdl.handle.net/10197/12039
Date: 13-Sep-2012
Online since: 2021-03-12T11:06:04Z
Abstract: With increased adoption of social networking tools, it is becoming more difficult to extract useful information from the mass of data generated daily by users. Curation of content and sources is an important filter in separating the signal from noise. A good set of credible sources often requires painstaking manual curation, which often yields incomplete coverage of a topic. In this demo, we present a recommender system to aid this process, improving the quality and quantity of sources. The system is highly-adaptable to the goals of the curator, enabling some novel uses for curating and monitoring lists of users.
Funding Details: Science Foundation Ireland
Type of material: Conference Publication
Publisher: ACM
Start page: 293
End page: 294
Copyright (published version): 2012 the Authors
Keywords: Content creationSocial media monitoringNetwork analysisSocial network discovery
DOI: 10.1145/2365952.2366019
Other versions: https://recsys.acm.org/recsys12/
Language: en
Status of Item: Peer reviewed
Is part of: RecSys'12 - Proceedings of the 6th ACM Conference on Recommender Systems
Conference Details: The ACM Conference on Recommender Systems (RecSys-2012), Dublin, Ireland, 9-13 September 2012
ISBN: 9781450312707
This item is made available under a Creative Commons License: https://creativecommons.org/licenses/by-nc-nd/3.0/ie/
Appears in Collections:Computer Science Research Collection

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