*** Apologies for cross-posting ***

Special Issue on "Hate and Fake: Tackling the Evil in Online Social Media"
Online platforms have become a big part of our everyday life.  The expressions of thoughts and facts through social media (Facebook, Twitter, Instagram), discussion websites (Reddit), messaging services (WhatsApp, Snapchat), blogs, forums and online chats, has been widely spread. While new opportunities have been opened to give voice to people on the Web, on the other hand hate speech and fake news promote the evil related to social exclusion and misinformation. The interplay between hate speech and fake news is still growing: one fosters the other.  Potential virality and presumed anonymity, make the two phenomena dangerous and hurtful. This Special Issue aims at exploring novel emerging technologies related to machine learning and natural language processing for countering the spread of hate and fake in online social media. 
The contributions submitted to the current special issue will provide substantial advancements to hate speech and fake news detection both from a machine learning and linguistic perspective. We encourage authors to submit original research articles, case studies, reviews, comparative analysis, theoretical and critical perspectives related, but not limited, to any of the following topics:
•	Machine learning and natural language processing models for detecting hate speech and fake news
•	Hate speech and fake news corpora: compilation, annotation and evaluation
•	Modeling the impact of fake news in the dissemination of hate messages
•	Cross-language and cross-cultural comparisons of hate speech and fake news
•	Explainability of hate speech and fake news detection models
•	Multi-lingual and multimodal detection of fake news and hate speech
•	Fairness, accountability, transparency, and ethics in misinformation and hate speech detection
•	Data and Algorithmic bias in fake and hate speech detection
•	Fake news and hate speech spreader identification
•	Profiling of fake news and hate speech spreader users
•	Modeling the diversity of several types of hate speech: racism, sexism, etc…
•	Modeling relationships and differences between hate speech and offensive/aggressive/vulgar language 
•	Fact-checking and trustworthiness of online sources
•	Detection of different types of fake news: hoax, propaganda, trolling, and satire


Important Dates
Manuscript submission: 31 May 2021

Manuscript Submission Information
Manuscripts should be submitted online at by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Multimodal Technologies and Interaction is an international peer-reviewed open access monthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Special Issue Editors
Prof. Elisabetta Fersini, DISCo, University of Milano-Bicocca, Milan, Italy
Dr. Manuel Montes-y-Gómez, Instituto Nacional de Astrofísica, Óptica y Electrónica (INAOE) San Andrés Cholula, Mexico
Prof. Paolo Rosso, Departamento de Sistemas Informáticos y Computación, Universitat Politècnica de València, Spain