loading
Papers Papers/2022 Papers Papers/2022

Research.Publish.Connect.

Paper

Authors: Lisa Grobelscheg 1 ; 2 ; Ema Kušen 2 and Mark Strembeck 3 ; 4 ; 2

Affiliations: 1 FH CAMPUS 02 , University of Applied Sciences, Graz, Austria ; 2 Vienna University of Economics and Business, Vienna, Austria ; 3 Complexity Science Hub (CSH), Vienna, Austria ; 4 Secure Business Austria (SBA), Vienna, Austria

Keyword(s): Narratives, Online Social Networks, Social Bots, Topic Modeling, Twitter.

Abstract: A narrative is a set of topic-wise interconnected messages that have been sent/posted via a social media platform. In recent years, social media play an important role in human information seeking behavior during and shortly after crisis events. Moreover, automated accounts (so called social bots) have been identified to play an instrumental role in manipulating the public discourse on social media. In this paper, we investigate the impact of bot accounts on the Twitter discourse surrounding the terror attack that took place in Vienna, Austria, on November 2nd 2020. The corresponding data-set consists of 399,247 tweets. In our analysis, we derive a structural topic model and map it to the five “narratives of crisis” as proposed by Seeger and Sellnow. Among other things, we were able to identify bot activity in neutral as well as in negative narratives, including breaking news updates, finger pointing, and expressions of shock and grief. Positive narratives, such as stories of heroes, were predominantly driven by human users. In addition, we found that the bots contributing to narratives surrounding the Vienna terror attack did not have the ability of picking up local story lines and contributed to more global narratives instead. Moreover, we identified similar temporal patterns in narratives with high bot involvement. (More)

CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 34.237.75.165

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
Grobelscheg, L.; Kušen, E. and Strembeck, M. (2022). Automated Narratives: On the Influence of Bots in Narratives during the 2020 Vienna Terror Attack. In Proceedings of the 7th International Conference on Complexity, Future Information Systems and Risk - COMPLEXIS; ISBN 978-989-758-565-4; ISSN 2184-5034, SciTePress, pages 15-25. DOI: 10.5220/0011034000003197

@conference{complexis22,
author={Lisa Grobelscheg. and Ema Kušen. and Mark Strembeck.},
title={Automated Narratives: On the Influence of Bots in Narratives during the 2020 Vienna Terror Attack},
booktitle={Proceedings of the 7th International Conference on Complexity, Future Information Systems and Risk - COMPLEXIS},
year={2022},
pages={15-25},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011034000003197},
isbn={978-989-758-565-4},
issn={2184-5034},
}

TY - CONF

JO - Proceedings of the 7th International Conference on Complexity, Future Information Systems and Risk - COMPLEXIS
TI - Automated Narratives: On the Influence of Bots in Narratives during the 2020 Vienna Terror Attack
SN - 978-989-758-565-4
IS - 2184-5034
AU - Grobelscheg, L.
AU - Kušen, E.
AU - Strembeck, M.
PY - 2022
SP - 15
EP - 25
DO - 10.5220/0011034000003197
PB - SciTePress