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Authors: Stephen Bradshaw 1 ; Colm O’Riordan 1 and Riad Cheikh 2

Affiliations: 1 School of Computer Science, National University Ireland Galway, Ireland ; 2 South Gloucestershire and Stroud College, U.K.

Keyword(s): Data Mining, Information Extraction.

Abstract: Obtaining a balanced view of an issue can be a time consuming and arduous task. A reader using only one source of information is in danger of being exposed to an author’s particular slant on a given issue. For many events, social media provides a range of expressions and views on a topic. In this paper we explore the feasibility of mining alternative data and information-sources to better inform users on the issues associated with a topic. For the purpose of gauging the feasibility of augmenting available content with related information, a text similarity metric is adopted to measure relevance of the auxiliary text. The developed system extracts related content from two distinct social media sources, Reddit and Twitter. The results are evaluated through conducting a user survey on the relevance of the returned results. A two tailed Wilcoxon test is applied to evaluate the relevance of addition information snippets. Our results show that by partaking the experiment a users’ level of awareness is augmented, second, that it is possible to better inform the user with information extract from a online microblogging sites. (More)

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Paper citation in several formats:
Bradshaw, S.; O’Riordan, C. and Cheikh, R. (2020). Social Media as an Auxiliary News Source. In Proceedings of the 12th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2020) - KDIR; ISBN 978-989-758-474-9; ISSN 2184-3228, SciTePress, pages 277-281. DOI: 10.5220/0010144202770281

@conference{kdir20,
author={Stephen Bradshaw. and Colm O’Riordan. and Riad Cheikh.},
title={Social Media as an Auxiliary News Source},
booktitle={Proceedings of the 12th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2020) - KDIR},
year={2020},
pages={277-281},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010144202770281},
isbn={978-989-758-474-9},
issn={2184-3228},
}

TY - CONF

JO - Proceedings of the 12th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2020) - KDIR
TI - Social Media as an Auxiliary News Source
SN - 978-989-758-474-9
IS - 2184-3228
AU - Bradshaw, S.
AU - O’Riordan, C.
AU - Cheikh, R.
PY - 2020
SP - 277
EP - 281
DO - 10.5220/0010144202770281
PB - SciTePress

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