Using social media for sub-event detection during disasters
<div><p>Social media platforms have become fundamental tools for sharing information during natural disasters or catastrophic events. This paper presents SEDOM-DD (Sub-Events Detection on sOcial Media During Disasters), a new method that analyzes user posts to discover sub-events that oc...
محفوظ في:
| المؤلف الرئيسي: | |
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| مؤلفون آخرون: | , , , , , |
| منشور في: |
2021
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| الموضوعات: | |
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إضافة وسم
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| _version_ | 1864513515386044416 |
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| author | Loris Belcastro (18589381) |
| author2 | Fabrizio Marozzo (18589384) Domenico Talia (18589387) Paolo Trunfio (18589390) Francesco Branda (2553877) Themis Palpanas (7428561) Muhammad Imran (282621) |
| author2_role | author author author author author author |
| author_facet | Loris Belcastro (18589381) Fabrizio Marozzo (18589384) Domenico Talia (18589387) Paolo Trunfio (18589390) Francesco Branda (2553877) Themis Palpanas (7428561) Muhammad Imran (282621) |
| author_role | author |
| dc.creator.none.fl_str_mv | Loris Belcastro (18589381) Fabrizio Marozzo (18589384) Domenico Talia (18589387) Paolo Trunfio (18589390) Francesco Branda (2553877) Themis Palpanas (7428561) Muhammad Imran (282621) |
| dc.date.none.fl_str_mv | 2021-06-02T03:00:00Z |
| dc.identifier.none.fl_str_mv | 10.1186/s40537-021-00467-1 |
| dc.relation.none.fl_str_mv | https://figshare.com/articles/journal_contribution/Using_social_media_for_sub-event_detection_during_disasters/25867618 |
| dc.rights.none.fl_str_mv | CC BY 4.0 info:eu-repo/semantics/openAccess |
| dc.subject.none.fl_str_mv | Information and computing sciences Data management and data science Social media Events detection Natural disasters Catastrophic events Crisis computing Disaster management Mass emergencies Earthquake |
| dc.title.none.fl_str_mv | Using social media for sub-event detection during disasters |
| dc.type.none.fl_str_mv | Text Journal contribution info:eu-repo/semantics/publishedVersion text contribution to journal |
| description | <div><p>Social media platforms have become fundamental tools for sharing information during natural disasters or catastrophic events. This paper presents SEDOM-DD (Sub-Events Detection on sOcial Media During Disasters), a new method that analyzes user posts to discover sub-events that occurred after a disaster (e.g., collapsed buildings, broken gas pipes, floods). SEDOM-DD has been evaluated with datasets of different sizes that contain real posts from social media related to different natural disasters (e.g., earthquakes, floods and hurricanes). Starting from such data, we generated synthetic datasets with different features, such as different percentages of relevant posts and/or geotagged posts. Experiments performed on both real and synthetic datasets showed that SEDOM-DD is able to identify sub-events with high accuracy. For example, with a percentage of relevant posts of 80% and geotagged posts of 15%, our method detects the sub-events and their areas with an accuracy of 85%, revealing the high accuracy and effectiveness of the proposed approach.</p><p> </p></div><h2>Other Information</h2> <p> Published in: Journal of Big Data<br> License: <a href="https://creativecommons.org/licenses/by/4.0" target="_blank">https://creativecommons.org/licenses/by/4.0</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.1186/s40537-021-00467-1" target="_blank">https://dx.doi.org/10.1186/s40537-021-00467-1</a></p> |
| eu_rights_str_mv | openAccess |
| id | Manara2_07bbb62152393807eda661e55f007b28 |
| identifier_str_mv | 10.1186/s40537-021-00467-1 |
| network_acronym_str | Manara2 |
| network_name_str | Manara2 |
| oai_identifier_str | oai:figshare.com:article/25867618 |
| publishDate | 2021 |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| rights_invalid_str_mv | CC BY 4.0 |
| spelling | Using social media for sub-event detection during disastersLoris Belcastro (18589381)Fabrizio Marozzo (18589384)Domenico Talia (18589387)Paolo Trunfio (18589390)Francesco Branda (2553877)Themis Palpanas (7428561)Muhammad Imran (282621)Information and computing sciencesData management and data scienceSocial mediaEvents detectionNatural disastersCatastrophic eventsCrisis computingDisaster managementMass emergenciesEarthquake<div><p>Social media platforms have become fundamental tools for sharing information during natural disasters or catastrophic events. This paper presents SEDOM-DD (Sub-Events Detection on sOcial Media During Disasters), a new method that analyzes user posts to discover sub-events that occurred after a disaster (e.g., collapsed buildings, broken gas pipes, floods). SEDOM-DD has been evaluated with datasets of different sizes that contain real posts from social media related to different natural disasters (e.g., earthquakes, floods and hurricanes). Starting from such data, we generated synthetic datasets with different features, such as different percentages of relevant posts and/or geotagged posts. Experiments performed on both real and synthetic datasets showed that SEDOM-DD is able to identify sub-events with high accuracy. For example, with a percentage of relevant posts of 80% and geotagged posts of 15%, our method detects the sub-events and their areas with an accuracy of 85%, revealing the high accuracy and effectiveness of the proposed approach.</p><p> </p></div><h2>Other Information</h2> <p> Published in: Journal of Big Data<br> License: <a href="https://creativecommons.org/licenses/by/4.0" target="_blank">https://creativecommons.org/licenses/by/4.0</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.1186/s40537-021-00467-1" target="_blank">https://dx.doi.org/10.1186/s40537-021-00467-1</a></p>2021-06-02T03:00:00ZTextJournal contributioninfo:eu-repo/semantics/publishedVersiontextcontribution to journal10.1186/s40537-021-00467-1https://figshare.com/articles/journal_contribution/Using_social_media_for_sub-event_detection_during_disasters/25867618CC BY 4.0info:eu-repo/semantics/openAccessoai:figshare.com:article/258676182021-06-02T03:00:00Z |
| spellingShingle | Using social media for sub-event detection during disasters Loris Belcastro (18589381) Information and computing sciences Data management and data science Social media Events detection Natural disasters Catastrophic events Crisis computing Disaster management Mass emergencies Earthquake |
| status_str | publishedVersion |
| title | Using social media for sub-event detection during disasters |
| title_full | Using social media for sub-event detection during disasters |
| title_fullStr | Using social media for sub-event detection during disasters |
| title_full_unstemmed | Using social media for sub-event detection during disasters |
| title_short | Using social media for sub-event detection during disasters |
| title_sort | Using social media for sub-event detection during disasters |
| topic | Information and computing sciences Data management and data science Social media Events detection Natural disasters Catastrophic events Crisis computing Disaster management Mass emergencies Earthquake |