Quotation Kusen, Ema, Strembeck, Mark. 2018. Investigation of Emotion Exchange Motifs in Bot/Human Interactions during Riot Events. Fifth International Conference on Social Networks Analysis, Management and Security (SNAMS), Valencia, Spain, 15.10.-18.10.


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Abstract

In this paper, we analyze a data-set consisting of 4.5 million tweets related to four highly emotional events and investigate the interaction patterns that emerge when social bots communicate with human users. In particular, we propose an emotion-annotated n-layer multiplex network model to study the involvement of bots in the exchange of emotional messages. To this end, we study four events: a) the riots that happened during the 2017 G20 summit in Hamburg, b) the 2017 Charlottesville riot, c) the 2017 Catalonia independence referendum riot, and d) the riots that happened after the Philadelphia Eagles won the 2018 Superbowl. In our analysis, we found that: 1) when identifying significant triadic patterns (motifs) in the the respective communication network, a number of star-like subgraphs emerge as representative and significant communication patterns, 2) bots tend to send messages of a higher emotional intensity, as compared to humans, 3) though bots predominantly send retweets, they also compose original messages that may potentially harm the reputation of the person they are targeted at, and 4) in contrast to previous findings, we found that during riot events up to 87.18 % of the involved bots actively engage in a direct communication with human users.

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Publication's profile

Status of publication Published
Affiliation WU
Type of publication Paper presented at an academic conference or symposium
Language English
Title Investigation of Emotion Exchange Motifs in Bot/Human Interactions during Riot Events
Event Fifth International Conference on Social Networks Analysis, Management and Security (SNAMS)
Year 2018
Date 15.10.-18.10.
Country Spain
Location Valencia
URL https://ieeexplore.ieee.org/document/8554860

Associations

People
Kusen, Ema (Details)
Strembeck, Mark (Details)
Organization
Information Systems and New Media IN (Details)
Research Institute for Cryptoeconomics FI (Details)
Research areas (Ă–STAT Classification 'Statistik Austria')
1109 Information and data processing (Details)
1138 Information systems (Details)
5912 Social sciences (interdisciplinary) (Details)
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