An approach to automatic classification of hate speech in sports domain on social media
Abstract Hate Speech encompasses different forms of trolling, bullying, harassment, and threats directed against specific individuals or groups. This phenomena is mainly expressed on Social Networks. For sports players, Social Media is a means of communication with the widest part of their fans and...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
SpringerOpen
2023-06-01
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| Series: | Journal of Big Data |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s40537-023-00766-9 |
| _version_ | 1797795669114617856 |
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| author | Staša Vujičić Stanković Miljana Mladenović |
| author_facet | Staša Vujičić Stanković Miljana Mladenović |
| author_sort | Staša Vujičić Stanković |
| collection | DOAJ |
| description | Abstract Hate Speech encompasses different forms of trolling, bullying, harassment, and threats directed against specific individuals or groups. This phenomena is mainly expressed on Social Networks. For sports players, Social Media is a means of communication with the widest part of their fans and a way to face different cyber-aggression forms. These virtual attacks can harm players, distress them, cause them to feel bad for a long time, or even escalate into physical violence. To date, athletes were not observed as a vulnerable group, so they were not a subject of automatic Hate Speech detection and recognition from content published on Social Media. This paper explores whether a model trained on the dataset from one Social Media and not related to any specific domain can be efficient for the Hate Speech binary classification of test sets regarding the sports domain. The experiments deal with Hate Speech detection in Serbian. BiLSTM deep neural network was learned with different parameters, and the results showed high Precision of detecting Hate Speech in sports domain (96% and 97%) and pretty low Recall. |
| first_indexed | 2024-03-13T03:21:30Z |
| format | Article |
| id | doaj.art-b768a81eae0c415d8c9072e6bcf0561e |
| institution | Directory Open Access Journal |
| issn | 2196-1115 |
| language | English |
| last_indexed | 2024-03-13T03:21:30Z |
| publishDate | 2023-06-01 |
| publisher | SpringerOpen |
| record_format | Article |
| series | Journal of Big Data |
| spelling | doaj.art-b768a81eae0c415d8c9072e6bcf0561e2023-06-25T11:19:40ZengSpringerOpenJournal of Big Data2196-11152023-06-0110111610.1186/s40537-023-00766-9An approach to automatic classification of hate speech in sports domain on social mediaStaša Vujičić Stanković0Miljana Mladenović1Faculty of Mathematics, Department of Informatics, University of BelgradeFaculty of Pedagogy, University of NišAbstract Hate Speech encompasses different forms of trolling, bullying, harassment, and threats directed against specific individuals or groups. This phenomena is mainly expressed on Social Networks. For sports players, Social Media is a means of communication with the widest part of their fans and a way to face different cyber-aggression forms. These virtual attacks can harm players, distress them, cause them to feel bad for a long time, or even escalate into physical violence. To date, athletes were not observed as a vulnerable group, so they were not a subject of automatic Hate Speech detection and recognition from content published on Social Media. This paper explores whether a model trained on the dataset from one Social Media and not related to any specific domain can be efficient for the Hate Speech binary classification of test sets regarding the sports domain. The experiments deal with Hate Speech detection in Serbian. BiLSTM deep neural network was learned with different parameters, and the results showed high Precision of detecting Hate Speech in sports domain (96% and 97%) and pretty low Recall.https://doi.org/10.1186/s40537-023-00766-9Hate speechSportAutomatic hate speech recognitionSocial networksSocial media |
| spellingShingle | Staša Vujičić Stanković Miljana Mladenović An approach to automatic classification of hate speech in sports domain on social media Journal of Big Data Hate speech Sport Automatic hate speech recognition Social networks Social media |
| title | An approach to automatic classification of hate speech in sports domain on social media |
| title_full | An approach to automatic classification of hate speech in sports domain on social media |
| title_fullStr | An approach to automatic classification of hate speech in sports domain on social media |
| title_full_unstemmed | An approach to automatic classification of hate speech in sports domain on social media |
| title_short | An approach to automatic classification of hate speech in sports domain on social media |
| title_sort | approach to automatic classification of hate speech in sports domain on social media |
| topic | Hate speech Sport Automatic hate speech recognition Social networks Social media |
| url | https://doi.org/10.1186/s40537-023-00766-9 |
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