Power laws in Ad Hoc conflictual discussions on twitter

Результат исследований: Публикации в книгах, отчётах, сборниках, трудах конференцийстатья в сборнике материалов конференциинаучнаярецензирование

2 Цитирования (Scopus)


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.

Язык оригиналаанглийский
Название основной публикацииDigital Transformation and Global Society - Third International Conference, DTGS 2018, Revised Selected Papers
РедакторыDaniel A. Alexandrov, Yury Kabanov, Olessia Koltsova, Alexander V. Boukhanovsky, Andrei V. Chugunov
ИздательSpringer Nature
Число страниц16
ISBN (печатное издание)9783030028459
СостояниеОпубликовано - 1 янв 2018
Событие3rd International Conference on Digital Transformation and Global Society, DTGS 2018 - St. Petersburg, Российская Федерация
Продолжительность: 30 мая 20182 июн 2018

Серия публикаций

НазваниеCommunications in Computer and Information Science
ISSN (печатное издание)1865-0929


конференция3rd International Conference on Digital Transformation and Global Society, DTGS 2018
СтранаРоссийская Федерация
ГородSt. Petersburg

Предметные области Scopus

  • Компьютерные науки (все)
  • Математика (все)

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