The Battle Against Online Harmful Information-Reference-Cited by-同舟云学术

The Battle Against Online Harmful Information

Published:2020-10-19 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 29th ACM International Conference on Information & Knowledge Management
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Author:

Giachanou Anastasia¹,Rosso Paolo¹

Affiliation:

1. Universitat Politècnica de València, Valencia, Spain

Funder

Ministerio de Ciencia e Innovación

Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3340531.3412169

Reference20 articles.

1. Swati Agarwal and Ashish Sureka. 2017. Characterizing Linguistic Attributes for Automatic Classification of Intent Based Racist/Radicalized Posts on Tumblr Micro-Blogging Website. CoRR Vol. abs/1701.04931 (2017). arxiv: 1701.04931 Swati Agarwal and Ashish Sureka. 2017. Characterizing Linguistic Attributes for Automatic Classification of Intent Based Racist/Radicalized Posts on Tumblr Micro-Blogging Website. CoRR Vol. abs/1701.04931 (2017). arxiv: 1701.04931

2. Maria Anzovino Elisabetta Fersini and Paolo Rosso. [n.d.]. Automatic Identification and Classification of Misogynistic Language on Twitter. Maria Anzovino Elisabetta Fersini and Paolo Rosso. [n.d.]. Automatic Identification and Classification of Misogynistic Language on Twitter.

3. SemEval-2019 Task 5: Multilingual Detection of Hate Speech Against Immigrants and Women in Twitter

4. CheckThat! at CLEF 2019: Automatic Identification and Verification of Claims

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