Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review
Power laws in Ad Hoc conflictual discussions on twitter. / Bodrunova, Svetlana S.; Blekanov, Ivan S.
Digital Transformation and Global Society - Third International Conference, DTGS 2018, Revised Selected Papers. ed. / Daniel A. Alexandrov; Yury Kabanov; Olessia Koltsova; Alexander V. Boukhanovsky; Andrei V. Chugunov. Springer Nature, 2018. p. 67-82 (Communications in Computer and Information Science; Vol. 859).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review
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TY - GEN
T1 - Power laws in Ad Hoc conflictual discussions on twitter
AU - Bodrunova, Svetlana S.
AU - Blekanov, Ivan S.
PY - 2018/1/1
Y1 - 2018/1/1
N2 - 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.
AB - 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.
KW - Ad hoc discussion
KW - Ad hoc publics
KW - Degree distribution
KW - Network structure
KW - Power law
KW - Twitter
UR - http://www.scopus.com/inward/record.url?scp=85057107264&partnerID=8YFLogxK
U2 - 10.1007/978-3-030-02846-6_6
DO - 10.1007/978-3-030-02846-6_6
M3 - Conference contribution
AN - SCOPUS:85057107264
SN - 9783030028459
T3 - Communications in Computer and Information Science
SP - 67
EP - 82
BT - Digital Transformation and Global Society - Third International Conference, DTGS 2018, Revised Selected Papers
A2 - Alexandrov, Daniel A.
A2 - Kabanov, Yury
A2 - Koltsova, Olessia
A2 - Boukhanovsky, Alexander V.
A2 - Chugunov, Andrei V.
PB - Springer Nature
T2 - 3rd International Conference on Digital Transformation and Global Society, DTGS 2018
Y2 - 30 May 2018 through 2 June 2018
ER -
ID: 36274654