Against the Others Detecting Moral Outrage in Social Media Networks

Wienke Strathern, Mirco Schoenfeld, Raji Ghawi, Juergen Pfeffer

Publikation: Beitrag in Buch/Bericht/KonferenzbandKonferenzbeitragBegutachtung

3 Zitate (Scopus)

Abstract

Online firestorms on Twitter are seemingly arbitrarily occurring outrages towards people, companies, media campaigns and politicians. Moral outrage can create an excessive collective aggressiveness against one single argument, one single word, or one action of a person resulting in hateful speech. With a collective 'against the others' the negative dynamics often start. Using data from Twitter, we explored the starting points of several firestorm outbreaks. As a social media platform with hundreds of millions of users interacting in real-Time on topics and events all over the world, Twitter serves as a social sensor for online discussions and is known for quick and often emotional disputes. The main question we pose in this article is whether we can detect the outbreak of a firestorm. Given 21 online firestorms on Twitter, the key questions regarding the anomaly detection are: 1) How can we detect changing points' 2) How can we distinguish the features that indicate a moral outrage' In this paper we examine these challenges developing a method to detect the point of change systematically spotting on linguistic cues of tweets. We are able to detect outbreaks of firestorms early and precisely only by applying linguistic cues. The results of our work can help detect negative dynamics and may have the potential for individuals, companies, and governments to mitigate hate in social media networks.

OriginalspracheEnglisch
TitelProceedings of the 2020 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2020
Redakteure/-innenMartin Atzmuller, Michele Coscia, Rokia Missaoui
Herausgeber (Verlag)Institute of Electrical and Electronics Engineers Inc.
Seiten322-326
Seitenumfang5
ISBN (elektronisch)9781728110561
DOIs
PublikationsstatusVeröffentlicht - 7 Dez. 2020
Veranstaltung12th IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2020 - Virtual, Online, Niederlande
Dauer: 7 Dez. 202010 Dez. 2020

Publikationsreihe

NameProceedings of the 2020 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2020

Konferenz

Konferenz12th IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2020
Land/GebietNiederlande
OrtVirtual, Online
Zeitraum7/12/2010/12/20

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