The Web:

• Information Retrieval / Web Search
• Web Mining
• Large-Scale Socio-Technical Systems

Social Media:

• Analysis of Social and Information Networks
• Mining of Social Media and Crowd-Generated Data
• Crowdsourcing and Scalable Collaboration
• Recommender Systems
• Crisis Informatics

Algorithmic Fairness and Transparency:

• Detecting Algorithmic Bias
• Algorithmic Fairness / Mitigating Algorithmic Bias
• Algorithmic Transparency

Applied Web Science and Social Computing:

• Data Science for Social Good
• Impacts and applications in traditional/mainstream media, governments, non-governmental organizations and business, and in sectors such as health care, science, and education.
• Impacts on employment, labor, legislation, politics, governance, democracy and economics; changes in homes, workplaces, schools, and the city.

Data governance:

• Data Intermediation mechanisms
• Privacy-preserving data-mining
• Geospatial data modelling
• Responsible data sharing practices