FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W4328008031> ?p ?o ?g. }

• W4328008031 endingPage "30590" @default.
• W4328008031 startingPage "30575" @default.
• W4328008031 abstract "In recent years, hate speech has gained relevance in social networks and other virtual media because of its intensity and its relationship with violent acts against members of protected groups. Due to the huge amounts of user-generated contents, a great effort has been made to develop automatic tools to aid the analysis and moderation of this speech, at least in its most threatening forms. One of the limitations of current approaches to automatic hate speech detection is the lack of context; most studies and resources focus on isolated messages, without considering any type of conversational context or even the topic being discussed. This severely restricts the available information for determining whether a post on a social network should be tagged as hateful or not. In this work, we assess the impact of adding contextual information to the hate speech detection task. In particular, we study a Twitter subdomain consisting of replies to posts by news outlets, which provides a natural environment for contextualized hate speech detection.We collected a novel corpus in the Rioplatense dialectal variety of Spanish focusing on hate speech associated with the COVID-19 pandemic, and manually annotated it using carefully designed guidelines. Our classification experiments using state-of-the-art transformer-based machine learning techniques show evidence that adding contextual information improves the performance of hate speech detection for two proposed tasks (binary and multi-label prediction), increasing their Macro F1 by 4.2 and 5.5 points, respectively. These results highlight the importance of exploiting contextual information for the task of hate speech detection. We make our code, models, and corpus available for further research." @default.
• W4328008031 created "2023-03-22" @default.
• W4328008031 creator A5000452225 @default.
• W4328008031 creator A5001366030 @default.
• W4328008031 creator A5006709198 @default.
• W4328008031 creator A5011425224 @default.
• W4328008031 creator A5024585590 @default.
• W4328008031 creator A5065338202 @default.
• W4328008031 creator A5066411666 @default.
• W4328008031 creator A5080122029 @default.
• W4328008031 creator A5080717617 @default.
• W4328008031 creator A5081546321 @default.
• W4328008031 creator A5085198288 @default.
• W4328008031 date "2023-01-01" @default.
• W4328008031 modified "2023-10-14" @default.
• W4328008031 title "Assessing the Impact of Contextual Information in Hate Speech Detection" @default.
• W4328008031 cites W2130237711 @default.
• W4328008031 cites W2156580264 @default.
• W4328008031 cites W2473555522 @default.
• W4328008031 cites W2595653137 @default.
• W4328008031 cites W2740168486 @default.
• W4328008031 cites W2741065173 @default.
• W4328008031 cites W2747187574 @default.
• W4328008031 cites W2887782043 @default.
• W4328008031 cites W2911227954 @default.
• W4328008031 cites W2911489562 @default.
• W4328008031 cites W2954226438 @default.
• W4328008031 cites W2954346034 @default.
• W4328008031 cites W2954479967 @default.
• W4328008031 cites W2954709811 @default.
• W4328008031 cites W2955561636 @default.
• W4328008031 cites W2962797668 @default.
• W4328008031 cites W2962977603 @default.
• W4328008031 cites W2963026768 @default.
• W4328008031 cites W2963481894 @default.
• W4328008031 cites W2963943967 @default.
• W4328008031 cites W2979826702 @default.
• W4328008031 cites W3009799308 @default.
• W4328008031 cites W3011127849 @default.
• W4328008031 cites W3029912488 @default.
• W4328008031 cites W3034238904 @default.
• W4328008031 cites W3034951181 @default.
• W4328008031 cites W3036385388 @default.
• W4328008031 cites W3091315987 @default.
• W4328008031 cites W3093198074 @default.
• W4328008031 cites W3099950029 @default.
• W4328008031 cites W3103061166 @default.
• W4328008031 cites W3104186312 @default.
• W4328008031 cites W3120687985 @default.
• W4328008031 cites W3134636647 @default.
• W4328008031 cites W3136346389 @default.
• W4328008031 cites W3153120079 @default.
• W4328008031 cites W3167384116 @default.
• W4328008031 cites W3186288536 @default.
• W4328008031 cites W4210448435 @default.
• W4328008031 cites W4287204327 @default.
• W4328008031 doi "https://doi.org/10.1109/access.2023.3258973" @default.
• W4328008031 hasPublicationYear "2023" @default.
• W4328008031 type Work @default.
• W4328008031 citedByCount "5" @default.
• W4328008031 countsByYear W43280080312023 @default.
• W4328008031 crossrefType "journal-article" @default.
• W4328008031 hasAuthorship W4328008031A5000452225 @default.
• W4328008031 hasAuthorship W4328008031A5001366030 @default.
• W4328008031 hasAuthorship W4328008031A5006709198 @default.
• W4328008031 hasAuthorship W4328008031A5011425224 @default.
• W4328008031 hasAuthorship W4328008031A5024585590 @default.
• W4328008031 hasAuthorship W4328008031A5065338202 @default.
• W4328008031 hasAuthorship W4328008031A5066411666 @default.
• W4328008031 hasAuthorship W4328008031A5080122029 @default.
• W4328008031 hasAuthorship W4328008031A5080717617 @default.
• W4328008031 hasAuthorship W4328008031A5081546321 @default.
• W4328008031 hasAuthorship W4328008031A5085198288 @default.
• W4328008031 hasBestOaLocation W43280080311 @default.
• W4328008031 hasConcept C12267149 @default.
• W4328008031 hasConcept C136197465 @default.
• W4328008031 hasConcept C136764020 @default.
• W4328008031 hasConcept C151730666 @default.
• W4328008031 hasConcept C154945302 @default.
• W4328008031 hasConcept C158154518 @default.
• W4328008031 hasConcept C162324750 @default.
• W4328008031 hasConcept C17744445 @default.
• W4328008031 hasConcept C187736073 @default.
• W4328008031 hasConcept C199539241 @default.
• W4328008031 hasConcept C204201278 @default.
• W4328008031 hasConcept C204321447 @default.
• W4328008031 hasConcept C2777438025 @default.
• W4328008031 hasConcept C2779343474 @default.
• W4328008031 hasConcept C2780451532 @default.
• W4328008031 hasConcept C28490314 @default.
• W4328008031 hasConcept C2988148770 @default.
• W4328008031 hasConcept C41008148 @default.
• W4328008031 hasConcept C518677369 @default.
• W4328008031 hasConcept C61328038 @default.
• W4328008031 hasConcept C66905080 @default.
• W4328008031 hasConcept C86803240 @default.
• W4328008031 hasConceptScore W4328008031C12267149 @default.
• W4328008031 hasConceptScore W4328008031C136197465 @default.

• next