Ad hoc discussions have been gaining a growing amount of attention in scholarly discourse. But earlier research has raised doubts in comparability of ad hoc discussions in social media, as they are formed by unstable, affective, and hardly predictable issue publics. We have chosen inter-ethnic conflicts in the USA, Germany, France, and Russia (six cases altogether, from Ferguson riots to the attack against Charlie Hebdo) to see whether similar patterns are found in the discussion structure across countries, cases, and vocabulary sets. Choosing degree distribution as the structural proxy for differentiating discussion types, we show that exponents change in the same manner across cases if the discussion density changes, this being true for neutral vs. affective hashtags, as well as hashtags vs. hashtag conglomerates. This adds to our knowledge on comparability of ad hoc discussions online, as well as on structural differences between core and periphery in them.

Original languageEnglish
Title of host publicationDigital Transformation and Global Society - Third International Conference, DTGS 2018, Revised Selected Papers
EditorsDaniel A. Alexandrov, Yury Kabanov, Olessia Koltsova, Alexander V. Boukhanovsky, Andrei V. Chugunov
PublisherSpringer Nature
Number of pages16
ISBN (Print)9783030028459
Publication statusPublished - 1 Jan 2018
Event3rd International Conference on Digital Transformation and Global Society, DTGS 2018 - St. Petersburg
Duration: 30 May 20182 Jun 2018

Publication series

NameCommunications in Computer and Information Science
ISSN (Print)1865-0929


Conference3rd International Conference on Digital Transformation and Global Society, DTGS 2018
CountryRussian Federation
CitySt. Petersburg

Scopus subject areas

  • Computer Science(all)
  • Mathematics(all)

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