ACM Transactions on Internet Technology (TOIT)

Special Section on Computational Modeling and Understanding of Emotions in Conflictual Social Interactions 

Call for Papers: https://toit.acm.org/pdf/ACM-ToIT-CfP-ECSI-ext.pdf

Paper Submission Deadline: 31st March 2019

Author Guidelines and Templates: https://toit.acm.org/authors.cfm 

Paper Submission Website: https://mc.manuscriptcentral.com/toit 

The expression of social, cultural and political opinions in social media often features a strong affective component, especially when it occurs in highly-polarized contexts (e.g., in discussions on political elections, migrants, civil rights, and so on). In particular, hate speech is recognized as an extreme, yet typical, expression of opinion, and it is increasingly intertwined with the spread of defamatory, false stories. Current approaches for monitoring and circumscribing the spread of these phenomena mostly rely on simple affective models that do not account for emotions as complex cognitive, social and cultural constructs behind linguistic behavior. 

In particular, moral emotions possess a potential for advancing sentiment analysis in social media, especially since they provide insights on the motivations behind hate speech. Understanding these affective dynamics is important also for modelling human behavior in social settings that involve other people and artificial agents, as well as for designing socially-aware artificial systems.

How can we include finer grained accounts of emotions in computational models of interpersonal and social interactions, with the goal of monitoring and dealing with conflicts in social media and agent interactions? How can we leverage the recent advances in machine learning and reasoning techniques to design more effective computational models of interpersonal and social conflict? We invite contributions that address the foregoing questions by presenting enhanced computational models and processing methods.

INDICATIVE TOPICS OF INTEREST 

Computational models of emotions 

Moral emotions (e.g. contempt, anger and disgust) in conflictual social interactions

Affective dynamics in human-human and human-agent conflictual interactions 

Interplay of emotions in conflictual interactions

Dimensional and categorical emotion models in conflict representation

Automatic processing of affect in polarized debates on social media

Stance and hate speech detection

Affect in online virality and fake news detection

Opinions and arguments on highly controversial topics

Linguistic and multimodal corpora for affect analysis in conflictual interactions

Figurative and rhetorical devices in social contrasts

Applications

Conflict detection and hate speech monitoring in political debates

Conflict-aware and conflict-oriented conversational agents

Integration of social cues in human-agent interaction strategies 

Conflict-aware agents in pedagogical and coaching applications 

SUBMISSION FORMAT AND GUIDELINES

Author guidelines for preparation of manuscript and submission instructions can be found at: https://toit.acm.org/authors.cfm 

Please select ?Computational Modeling and Understanding of Emotions in Conflictual Social Interactions? under Manuscript Type dropdown in the Manuscript Central website.

Submission: 31 Mar 2019

First decision: 1 July 2019

Revision: 15 Aug 2019

Final decision: 1 Oct  2019

Final manuscript:  1 Nov  2019

Publication date: 1 Mar  2020

SPECIAL SECTION EDITORS

Chloé Clavel, Institut-Mines-Telecom, Telecom-ParisTech, LTCI,  France

http://clavel.wp.mines-telecom.fr

Rossana Damiano, Università degli Studi di Torino, Italy

http://www.di.unito.it/~rossana/

Viviana Patti, Università degli Studi di Torino, Italy

http://www.di.unito.it/~patti

Paolo Rosso, Universitat Politècnica de València, Spain

http://users.dsic.upv.es/~prosso

ACM TOIT Editor-in-Chief

Ling Liu, Department of Computer Science, Georgia Institute of Technology

CONTACT

Please send any queries about this CfP to ecsi.toit@gmail.com.