A system for twitter user list curation
|Title:||A system for twitter user list curation||Authors:||Brigadir, Igor; Greene, Derek; Cunningham, 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 creation; Social media monitoring; Network analysis; Social 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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