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https://www.um.edu.mt/library/oar/handle/123456789/103272Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Mamo, Nicholas | - |
| dc.contributor.author | Azzopardi, Joel | - |
| dc.date.accessioned | 2022-10-31T16:58:35Z | - |
| dc.date.available | 2022-10-31T16:58:35Z | - |
| dc.date.issued | 2017 | - |
| dc.identifier.citation | Mamo, N., & Azzopardi, J. (2017, September). FIRE: Finding Important News REports. International KEYSTONE Conference, Poland. 20-31. | en_GB |
| dc.identifier.uri | https://www.um.edu.mt/library/oar/handle/123456789/103272 | - |
| dc.description.abstract | Every day, an immeasurable number of news items are published. Social media greatly contributes to the dissemination of information, making it difficult to stay on top of what is happening. Twitter stands out among popular social networks due to its large user base and the immediateness with which news is spread. In this paper, we present a solution named Finding Important News REports (FIRE) that exploits the information available on Twitter to identify and track breaking news, and the defining articles that discuss them. The methods used in FIRE present context-specific problems when dealing with the micro-messages of Twitter, and thus they are the sub ject of research. FIRE demonstrates how Twitter’s conversation habits do nothing to shackle the detection of important news. To the contrary, the developed system is able to extract newsworthy stories that are important to the general population, and do so before Twitter itself. Moreover, the results emphasize the need for reliable and efficient spam and noise filtering tools. | en_GB |
| dc.language.iso | en | en_GB |
| dc.publisher | Springer | en_GB |
| dc.rights | info:eu-repo/semantics/restrictedAccess | en_GB |
| dc.subject | Information retrieval -- Computer programs | en_GB |
| dc.subject | Expert systems (Computer science) | en_GB |
| dc.subject | Information filtering systems | en_GB |
| dc.subject | Twitter (Firm) | en_GB |
| dc.title | FIRE : Finding important news reports | en_GB |
| dc.type | conferenceObject | en_GB |
| dc.rights.holder | The copyright of this work belongs to the author(s)/publisher. The rights of this work are as defined by the appropriate Copyright Legislation or as modified by any successive legislation. Users may access this work and can make use of the information contained in accordance with the Copyright Legislation provided that the author must be properly acknowledged. Further distribution or reproduction in any format is prohibited without the prior permission of the copyright holder. | en_GB |
| dc.bibliographicCitation.conferencename | International KEYSTONE Conference | en_GB |
| dc.bibliographicCitation.conferenceplace | Gdańsk, Poland. 11-12/09/2017. | en_GB |
| dc.description.reviewed | peer-reviewed | en_GB |
| dc.identifier.doi | 10.1007/978-3-319-74497-1_3 | - |
| Appears in Collections: | Scholarly Works - FacICTAI | |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| FIRE_Finding_important_news_reports(2017).pdf Restricted Access | 620.78 kB | Adobe PDF | View/Open Request a copy |
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