Detecting Social Problems in Online Content: A Preface to the International Workshop

Olessia Koltsova, Svetlana Bodrunova

Research output: Chapter in Book/Report/Conference proceedingForeword/postscriptResearchpeer-review


This workshop was dedicated to discussing the latest development in detecting a broad range of social issues in online content, from inequalities expressed in texts (hate speech, prejudice, divisive/uncivil messages, political bias and racism etc.), to social polarization based on user views and sentiment. With proliferation of social media, such content is increasingly
impactful, while its detection at scale presents a huge methodological challenge. The workshop participants shared their research experience by reflecting both on advantages and limitations of new automated and mixed research methods of text analysis they had used for processing and analysing such content. The workshop was held for the first time at INSCI’2018.
Original languageEnglish
Title of host publicationInternet Science - INSCI 2018 International Workshops
Subtitle of host publicationConference proceedings
EditorsS.S. Bodrunova, et al.
Place of PublicationCham
PublisherSpringer Nature
ISBN (Electronic)9783030177058
ISBN (Print)9783030177041
StatePublished - 2019
Event5th International Conference on Internet Science, INSCI 2018: Internet in World Regions: Digital Freedoms and Citizen Empowerment - СПбГУ, Институт "Высшая школа журналистики и массовых коммуникаций", St. Petersburg, Russian Federation
Duration: 24 Oct 201826 Oct 2018
Conference number: 5th

Publication series

NameLecture Notes in Computer Science
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Conference5th International Conference on Internet Science, INSCI 2018
Abbreviated title INSCI 2018
CountryRussian Federation
CitySt. Petersburg
Internet address


  • Problematic content
  • Online data
  • Machine learning
  • Text clustering
  • Big social data
  • Limitations


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