Skip to main content
Conference ProceedingsOPEN ACCESS

The Battle Against Online Harmful Information: The Cases of Fake News and Hate Speech

International Conference on Information and Knowledge Management, Proceedings (2020) 3503-3504
DOI: 10.1145/3340531.3412169
27Citations
Citations of this article
34Readers
Mendeley users who have this article in their library.
Get full text

Abstract

Social media have given the opportunity to users to express their opinions online in a fast and easy way. The ease of generating content online and the anonymity that social media provide have increased the amount of harmful content that is published. This tutorial will focus on the topic of online harmful information. First, we will analyse and explain the different types of online harmful information with a particular focus on fake news and hate speech. In addition, we will explain the different computational approaches proposed in the literature for the detection of fake news and hate speech. Next, we will present details regarding the evaluation process, datasets and shared tasks and finally, we will discuss future directions in the field of online harmful information detection.

Author supplied keywords

References Powered by Scopus

Hateful symbols or hateful people? predictive features for hate speech detection on twitter

Hlt Naacl 2016 2016 Conference of the North American Chapter of the Association for Computational Linguistics Human Language Technologies Proceedings of the Student Research Workshop
1458Citations
N/AReaders
Get full text

EANN: Event adversarial neural networks for multi-modal fake news detection

Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining
1062Citations
N/AReaders
Get full text

SemEval-2019 task 5: Multilingual detection of hate speech against immigrants and women in Twitter

Naacl Hlt 2019 International Workshop on Semantic Evaluation Semeval 2019 Proceedings of the 13th Workshop
864Citations
N/AReaders
Get full text
View more at Scopus

Cited by Powered by Scopus

The many dimensions of truthfulness: Crowdsourcing misinformation assessments on a multidimensional scale

Information Processing and Management
52Citations
N/AReaders
Get full text

Using fake news as means of cyber-bullying: The link with compulsive internet use and online moral disengagement

Computers in Human Behavior
51Citations
N/AReaders
Get full text

An inter-modal attention-based deep learning framework using unified modality for multimodal fake news, hate speech and offensive language detection

Information Systems
28Citations
N/AReaders
Get full text
View more at Scopus

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Cite

CITATION STYLE

APA

Giachanou, A., & Rosso, P. (2020). The Battle Against Online Harmful Information: The Cases of Fake News and Hate Speech. In International Conference on Information and Knowledge Management, Proceedings (pp. 3503–3504). Association for Computing Machinery. https://doi.org/10.1145/3340531.3412169

Readers' Seniority

Tooltip

PhD / Post grad / Masters / Doc 7

50%

Researcher 4

29%

Professor / Associate Prof. 2

14%

Lecturer / Post doc 1

7%

Readers' Discipline

Tooltip

Computer Science 12

71%

Social Sciences 3

18%

Arts and Humanities 1

6%

Psychology 1

6%

Save time finding and organizing research with Mendeley

Sign up for free