Abusive Comments in Online Media and How to Fight Them: State of the Domain and a Call to Action
Niemann Marco, Welsing Jens, Riehle Dennis M, Brunk Jens, Assenmacher Dennis, Becker Jörg
Zusammenfassung
While abusive language in online contexts is a long-known problem, algorithmic detection and moderation support are only recently experiencing rising interest. This survey provides a structured overview of the latest academic publications in the domain. Assessed concepts include the used datasets, their language, annotation origins and quality, as well as applied machine learning approaches. It is rounded off by an assessment of meta aspects such as author collaborations and networks as well as extant funding opportunities. Despite all progress, the domain still has the potential to improve on many aspects: (international) collaboration, diversifying and increasing available datasets, careful annotations, and transparency. Furthermore, abusive language detection is a topic of high societal relevance and requires increased funding from public authorities.
Schlüsselwörter
Abusive language; Comment moderation; Machine learning; Review
Zitieren als
Niemann, M., Welsing, J., Riehle, D. M., Brunk, J., Assenmacher, D., & Becker, J. (2020). Abusive Comments in Online Media and How to Fight Them: State of the Domain and a Call to Action. In van Duijn, , Max;, P., Mike;, S., Viktoria;, T., Frank;, V., & Suzan, (Eds.),
Disinformation in Open Online Media. Second Multidisciplinary International Symposium, MISDOOM 2020, Leiden, The Netherlands, October 26–27, 2020, Proceedings (pp. 122–137). Lecture Notes in Computer Science: Vol. 12259. Cham: Springer.
Details
Publikationstyp
Forschungsartikel in Sammelband (Konferenz)
Begutachtet
Ja
Publikationsstatus
Veröffentlicht
Jahr
2020
Konferenz
2nd Multidisciplinary International Symposium on Disinformation in Open Online Media
Konferenzort
Leiden
Buchtitel
Disinformation in Open Online Media. Second Multidisciplinary International Symposium, MISDOOM 2020, Leiden, The Netherlands, October 26–27, 2020, Proceedings
Herausgeber
van Duijn, Max; Preuss, Mike; Spaiser, Viktoria; Takes, Frank; Verberne, Suzan
Erste Seite
122
Letzte Seite
137
Band
12259
Reihe
Lecture Notes in Computer Science
Verlag
Springer
Ort
Cham
Sprache
Englisch
ISSN
0302-9743
ISBN
978-3-030-61841-4
DOI
Gesamter Text
