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Personal and Ubiquitous Computing Special Issue : Intelligent Systems for Tackling Online Harms
Personal and Ubiquitous Computing Special Issue : Intelligent Systems for Tackling Online Harms

Personal and Ubiquitous Computing Special Issue : Intelligent Systems for Tackling Online Harms

Submission Deadline: December 04, 2020
Notification of Acceptance: March 04, 2021
Camera Ready Version Due: June 04, 2021



About

Social media platforms have become an integral part of everyday lives and activities of most people, providing new forms of communication and interaction. These sites allow users to freely share information and opinions (in the form of photos, short texts and comments) as well as to promote the formation of links and social relationships (friendships,  follower/followee relations). One of the most valuable features of social platforms is the potential for the dissemination of information widely and rapidly. The adoption of social media, however, also exposes users to risks, giving rise to what has been referred to as online harms.

Online harms are also widespread on social media and can have serious damaging effects on individuals and society at large. Different forms of online harms include, inter alia, the distribution of false and misleading content (such as hoaxes, conspiracy theories, fake news and even satiric content), harmful content such as abusive, discriminatory, offensive and violence-inciting comments, or the augmentation of societal biases and inequalities online. The proliferation of harms online has become a serious problem with several negative consequences, ranging from public health issues to the disruption of democratic systems (Online Harms White Paper, 2019). Identification of harmful content online has however proven difficult, with not only the scientific community but also social media platforms and governments worldwide calling for support to develop effective methods.


Call for Papers

Topics of interest include, but are not restricted to:

  • Analysis and prevention of misinformation effects (e.g. echo-chambers, filter bubbles)
  • Hate speech detection and countermeasures (abusive language, cyberbullying, etc.)
  • Modeling diffusion and propagation of harmful content in social media
  • User/content trustworthiness
  • Social bias detection and mitigation in data/algorithms
  • Fairness and transparency in intelligent systems
  • Explainability and transparency
  • Dataset collection and annotation methodologies
  • Evaluation methodologies and metrics Intervention and content moderation strategies
  • Impact of online harms in search and recommender systems
  • Applications and case studies of misinformation- and harm-aware intelligent systems



Best Deals



Credits and Sources

[1] Personal and Ubiquitous Computing Special Issue : Intelligent Systems for Tackling Online Harms


Check other Conferences, Workshops, Seminars, and Events


OTHER MISINFORMATION EVENTS

DIONE 2020: 1st EAI International Conference on Data and Information in Online Environments
Florianópolis, Brazil
Mar 18, 2020
ROME 2019: SIGIR 2019 Workshop on Reducing Online Misinformation Exposure
Paris, France
Jul 25, 2019
LIJTE 2019: EXTENDED CFP: “How Higher Education Should Respond to Fake News and the Post-Truth World”
N/A
CyberSafety 2019: The Fourth Workshop on Computational Methods in Online Misbehavior
San Francisco, California, USA
May 13, 2019
FEND 2019: Workshop on Data Mining for Fake News in Social Media: Propagation, Detection, and Mitigation (FEND'19)@ SDM 2019
Alberta, Canada
May 2, 2019
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