Aggregating Content and Network Information to Curate Twitter User Lists

DSpace/Manakin Repository

Show simple item record

dc.contributor.author Greene, Derek
dc.contributor.author Sheridan, Gavin
dc.contributor.author Smyth, Barry
dc.contributor.author Cunningham, Pádraig
dc.date.accessioned 2012-10-16T14:03:36Z
dc.date.available 2012-10-16T14:03:36Z
dc.date.copyright 2012 ACM en
dc.date.issued 2012-06-25
dc.identifier.isbn 978-1-4503-1638-5
dc.identifier.uri http://hdl.handle.net/10197/3871
dc.description ACM RecSys 2012 Workshop on Recommender Systems & The Social Web, 9 September, 2012, Dublin en
dc.description.abstract Twitter introduced user lists in late 2009, allowing users to be grouped according to meaningful topics or themes. Lists have since been adopted by media outlets as a means of organising content around news stories. Thus the curation of these lists is important - they should contain the key information gatekeepers and present a balanced perspective on a story. Here we address this list curation process from a recommender systems perspective. We propose a variety of criteria for generating user list recommendations, based on content analysis, network analysis, and the "crowdsourcing" of existing user lists. We demonstrate that these types of criteria are often only successful for datasets with certain characteristics. To resolve this issue, we propose the aggregation of these different "views" of a news story on Twitter to produce more accurate user recommendations to support the curation process. en
dc.description.sponsorship Science Foundation Ireland en
dc.language.iso en en
dc.publisher ACM en
dc.relation.ispartof RSWeb'12 : Proceedings of the 4th ACM RecSys workshop on Recommender systems and the social web en
dc.relation.requires CASL Research Collection en
dc.rights © ACM, 2012 This is the author's version of the work. It is posted here by permission of ACM for your personal use. Not for redistribution. The definitive version was published in Proceedings of the 4th ACM RecSys workshop on Recommender systems and the social web (Pages 29-36, 2012) http://doi.acm.org/10.1145/2365934.2365941 en
dc.subject Social network analysis en
dc.subject Recommender systems en
dc.subject Social media analysis en
dc.subject Twitter en
dc.subject.lcsh Online social networks en
dc.subject.lcsh Recommender systems (Information filtering) en
dc.subject.lcsh Social media en
dc.subject.lcsh Twitter en
dc.title Aggregating Content and Network Information to Curate Twitter User Lists en
dc.type Conference Publication en
dc.internal.availability Full text available en
dc.status Peer reviewed en
dc.identifier.doi 10.1145/2365934.2365941
dc.neeo.contributor Greene|Derek|aut|
dc.neeo.contributor Sheridan|Gavin|aut|
dc.neeo.contributor Smyth|Barry|aut|
dc.neeo.contributor Cunningham|Pádraig|aut|
dc.description.admin DG 16/10/2012 en


Files in this item

This item appears in the following Collection(s)

Show simple item record

This item is available under the Attribution-NonCommercial-NoDerivs 3.0 Ireland. No item may be reproduced for commercial purposes. For other possible restrictions on use please refer to the publisher's URL where this is made available, or to notes contained in the item itself. Other terms may apply.

If you are a publisher or author and have copyright concerns for any item, please email research.repository@ucd.ie and the item will be withdrawn immediately. The author or person responsible for depositing the article will be contacted within one business day.

Search Research Repository


Advanced Search

Browse