Special Issue "Tackling Misinformation Online"

A special issue of Information (ISSN 2078-2489). This special issue belongs to the section "Information Applications".

Deadline for manuscript submissions: 31 October 2020.

Special Issue Editors

Dr. Arkaitz Zubiaga
E-Mail Website
Guest Editor
School of Electronic Engineering and Computer Science, Queen Mary University of London, London E1 4NS, UK
Interests: social media mining; natural language processing; computational social science
Dr. Ahmet Aker
E-Mail Website
Guest Editor
1. Department of Computer Science and Applied Cognitive Science, Information System Group, University of Duisburg-Essen, 47057 Duisburg, Germany
2. Department of Computer Science, University of Sheffield, Sheffield S1 4DP, UK
Interests: online disinformation; information nutrition labels; social media analysis; natural language processing
Dr. Kalina Bontcheva
E-Mail Website
Guest Editor
Department of Computer Science, University of Sheffield, Sheffield S1 4DP, UK
Interests: online disinformation and abuse analysis; natural language processing; social media analysis; digital journalism
Prof. Maria Liakata
E-Mail Website
Guest Editor
1. Department of Computer Science, University of Warwick, Coventry CV4 7AL, United Kingdom
2. Alan Turing Institute, London NW1 2DB, UK
Interests: online disinformation and abuse analysis; natural language processing; social media analysis; digital journalism
Prof. Rob Procter
E-Mail Website
Guest Editor
1. Department of Computer Science, University of Warwick, Coventry CV4 7AL, United Kingdom
2. Alan Turing Institute, London NW1 2DB, UK
Interests: social media analytics; digital journalism; fact checking; social data science
Dr. Symeon Papadopoulos
E-Mail Website
Guest Editor
Centre for Research and Technology Hellas, Thessaloniki 57001, Greece
Interests: social media analysis; multimedia retrieval; online disinformation; computer vision

Special Issue Information

Dear Colleagues,

In the last decade, social media has become the platform par excellence for all kinds of online information exchange, such as, content creation, consumption, and sharing; commenting on and engaging with content posted by others; organization of events; reporting and tracking of real world events; rating and reviewing products; and catching up with the latest developments in the news. Among the best-known platforms today are Facebook, Twitter, Sina Weibo, Reddit, and Instagram. Besides individuals, the presence of companies, agencies, institutions, and politicians has also increased on social media. One of their objectives is to engage with a broader audience, while also learning from them. For instance, companies are interested in finding out what customers think about their products in order to improve their services and perform targeted advertising. Given the scale of social media use, it is also being leveraged to perform predictions on a variety of issues, such as political elections, referenda, and stock markets.

Although social media seems to offer a way to address all kinds of problems, it is also a source of new problems, some of which are a serious threat to society. One of the threats is the online information disorder and its manipulative power on public opinion. Information disorder has been categorized into the following three types: (1) misinformation, an honest mistake in information sharing; (2) disinformation, deliberate spreading of inaccurate information; and (3) malinformation, accurate information that is intended to harm others, such as leaks and cyberhate. Its spread can play an important role in shaping public opinion and reactions to events, which the viral properties of social media may then amplify. The influence of online information disorder has been evident in recent political events, such as Brexit and in Trump’s election, where social media played a significant role in shaping public opinion, and “fake news” and “post-truth” had an impact that is yet to be understood.

Topics of interest include, but are not limited to, the following:

  • Detection and tracking of rumors
  • Rumor veracity classification
  • Fact-checking social media
  • Detection and analysis of disinformation, hoaxes and fake news
  • Stance detection in social media
  • Qualitative user studies assessing the use of social media
  • Bots detection in social media
  • Measuring public opinion through social media
  • Assessing the impact of social media on public opinion
  • Political analyses of social media
  • Real-time social media mining
  • NLP for social media analysis
  • Multimedia content analysis in social media settings
  • Deepfake detection and case studies
  • Network analysis and diffusion of dis/misinformation
  • Usefulness and trust analysis of social media tools
  • Benchmarking disinformation detection systems
  • Open disinformation knowledge bases and datasets

Dr. Arkaitz Zubiaga
Dr. Ahmet Aker
Prof. Kalina Bontcheva
Dr. Maria Liakata
Prof. Rob Procter
Dr. Symeon Papadopoulos
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com 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. Information 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 1000 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.

Keywords

  • natural language processing
  • social media mining
  • Information nutrition labels for the Web
  • data mining
  • machine learning

Published Papers

This special issue is now open for submission.
Back to TopTop