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41	Affect and Interaction in Agent-Based Systems and Social Media: Guest Editors Introduction
	Clavel, Chloe; Damiano, Rossana; Patti, Viviana; Rosso ., Paolo. - : Association for Computing Machinery, 2017
	Abstract: [EN] Today¿s Internet is evolving toward an open society of humans and computational entities, where intelligent agent systems increasingly support the interaction between users and computational components. In this scenario, affect plays a key role, with functions that span from creating and maintaining interpersonal relations, to establishing cooperation and trust. Artificial systems¿which can act as both actors and facilitators of these interactions¿are more and more requested to integrate affective components in order to achieve truly realistic social behaviors and foster the creation of bonds with the users, with timely reactions to their affective input and appropriate expressions of affect. Achieving this integration requires to understand and reproduce the role of affect in human expressive capabilities, and to account for affect-related phenomena (e.g., sentiment, emotions, and mood) that engage social abilities, such as empathy, and expressive means, such as irony. The expectation for complex phenomena such as empathy and irony is that effective approaches require an interdisciplinary approach and, above all, the integration of representational models and data-oriented processing techniques. The aim of this special section is to bring together leading research on computational models of affect-related phenomena in interactions occurring either in social media or agent-based systems, by attaining cross-fertilization between two relevant perspectives: on the one hand, research on agent architectures and cognitive models, mainly concerned with the integration of affective states into agents and open to the creation of virtual and embodied agents; on the other hand, research on techniques for sentiment analysis and opinion mining, mainly focused on the processing of affective information in social media, typically (but not only) expressed through text. The integration of models and methods between the two perspectives can open the way to the development of a new generation of social and interactive applications that leverage the affective dimension to promote improved, spontaneous technologymediated interactions, including human¿computer and human¿human interactions, on small and large scale. Our goal here is to provide an overview of the open research challenges for the community of researchers interested in analyzing and modeling the interplay between affect and interaction in agent-based systems and social media, as well as an introduction to the special section. The rest of the article is structured as follows. Section 2 discusses a set of research challenges relevant in the context of this special issue, Section 3 briefly introduces the articles included in this ACM TOIT special section. Section 4 concludes the article. ; The work of Viviana Patti was partially carried out at the Universitat Politecnica de Valencia within the framework of a fellowship of the University of Turin co-funded by Fondazione CRT (World Wide Style Program 2). The work of Paolo Rosso has been partially funded by the SomEMBED TIN2015-71147-C2-1-P MINECO research project and by the Generalitat Valenciana under the grant ALMAMATER (PrometeoII/2014/030). ; Clavel, C.; Damiano, R.; Patti, V.; Rosso ., P. (2017). Affect and Interaction in Agent-Based Systems and Social Media: Guest Editors Introduction. ACM Transactions on Internet Technology. 7(1):1-8. https://doi.org/10.1145/3018980 ; S ; 1 ; 8 ; 7 ; 1 ; Michael Anderson and Susan Leigh Anderson. 2011. Machine Ethics. Cambridge University Press. ; Federico Bertola and Viviana Patti. 2016. Ontology-based affective models to organize artworks in the social semantic web. Inf. Process. Manage. 52, 1 (2016), 139--162. ; Ruchdee Binmad and Mingchu Li. 2016. Improving the efficiency of an online marketplace by incorporating forgiveness mechanism. ACM Trans. Internet Technol. 17, 1 (2016), 1--20. ; Kim Binsted, Benjamin Bergen, Seana Coulson, Anton Nijholt, Oliviero Stock, Carlo Strapparava, Graeme Ritchie, Ruli Manurung, Helen Pain, Annalu Waller, and Dave O’Mara. 2006. Computational humor. IEEE Intell. Syst. 21, 2 (2006), 59--69. ; Cristina Bosco, Viviana Patti, and Andrea Bolioli. 2013. Developing corpora for sentiment analysis: The case of irony and senti-TUT. IEEE Intell. Syst. 28, 2 (2013), 55--63. ; Erik Cambria, Björn W. Schuller, Yunqing Xia, and Catherine Havasi. 2013. New avenues in opinion mining and sentiment analysis. IEEE Intell. Syst. 28, 2 (2013), 15--21. http://dx.doi.org/10.1109/MIS.2013.30 ; Chloé Clavel and Zoraida Callejas. 2016. Sentiment analysis: From opinion mining to human-agent interaction. IEEE Transactions on Affective Computing 7, 1 (2016), 74--93. ; Mehdi Dastani and Alexander Pankov. 2016. Other-condemning moral emotions: Anger, contempt and disgust. ACM Trans. Internet Technol. 17, 1 (2016), 1--24. ; Pasquale De Meo, Katarzyna Musial-Gabrys, Domenico Rosaci, Giuseppe Sarne, and Lora Aroyo. 2016. Using centrality measures to predict helpfulness-based reputation in trust networks. ACM Trans. Internet Technol. 17, 1 (2016), 1--26. ; Bexy Alfonso Espinosa, Emilio Vivancos, and Vicente Botti. 2016. Towards formal modeling of affective agents in a BDI architecture. ACM Trans. Internet Technol. 17, 1 (2016), 1--23. ; Brian J. Fogg. 1999. Persuasive technologies. Commun. ACM 42, 5 (1999), 27--29. ; Jonathan Gratch and Stacy Marsella. 2004. A domain-independent framework for modeling emotion. Cognit. Syst. Res. 5, 4 (2004), 269--306. ; Marco Guerini and Oliviero Stock. 2005. Toward ethical persuasive agents. In Proceedings of the IJCAI Workshop on Computational Models of Natural Argument. Edinburgh, Scotland. ; Arno Hartholt, David Traum, Stacy C. Marsella, Ari Shapiro, Giota Stratou, Anton Leuski, Louis-Philippe Morency, and Jonathan Gratch. 2013. All together now. In Proceedings of the International Workshop on Intelligent Virtual Agents. Springer, 368--381. ; Delia Irazú Hernańdez Farías, Viviana Patti, and Paolo Rosso. 2016. Irony detection in Twitter: The role of affective content. ACM Trans. Internet Technol. 16, 3, Article 19 (2016), 24 pages. ; Delia Irazú Hernández Farías and Paolo Rosso. 2016. Irony, sarcasm, and sentiment analysis. In Sentiment Analysis in Social Networks, Federico Pozzi, Elisabetta Fersini, Bing Liu, and Enza Messina (Eds.). Elsevier, Chapter 7, 113--128. ; Caroline Langlet and Chloé Clavel. 2016. Grounding the detection of the user’s likes and dislikes on the topic structure of human-agent interactions. Knowl. Based Syst. 106 (2016), 116--124. ; Maurizio Mancini, Beatrice Biancardi, Florian Pecune, Giovanna Varni, Yu Ding, Catherine Pelachaud, Gualtiero Volpe, and Antonio Camurri. 2016. Implementing and evaluating a laughing virtual character. ACM Trans. Internet Technol. 17, 1 (2016), 1--22. ; Rosa Meo and Emilio Sulis. 2016. Processing affect in social media. A comparison of methods to distinguish emotions in tweets. ACM Trans. Internet Technol. 17, 1 (2016), 1--25. ; Myriam D. Munezero, Calkin Suero Montero, Erkki Sutinen, and John Pajunen. 2014. Are they different? Affect, feeling, emotion, sentiment, and opinion detection in text. IEEE Trans Affective Comput. (2014). ; Malvina Nissim and Viviana Patti. 2016. Semantic aspects in sentiment analysis. In Sentiment Analysis in Social Networks, Federico Pozzi, Elisabetta Fersini, Bing Liu, and Enza Messina (Eds.). Elsevier, 31--48. ; Jahna Otterbacher, Chee Siang Ang, Marina Litvak, and David Atkins. 2016. Show me you care: Trait empathy, linguistic style and mimicry on Facebook. ACM Trans. Internet Technol. 17, 1 (2016), 1--22. ; Ana Paiva. 2011. Empathy in social agents. Int. J. Virtual Reality 10, 1 (2011). ; Catherine Pelachaud. 2009. Modelling multimodal expression of emotion in a virtual agent. Philosophical Transactions of the Royal Society B: Biological Sciences 364, 1535 (2009), 3539--3548. ; Robert Plutchik. 1980. A general psychoevolutionary theory of emotion. In Emotion: Theory, Research, and Experience: Vol. 1. Theories of Emotion, R. Plutchik and H. Kellerman (Eds.). Academic Press, New York, 3--33. ; Federico Alberto Pozzi, Elisabetta Fersini, Enza Messina, and Bing Liu. 2016. Sentiment Analysis in Social Networks, 1st Edition. Morgan Kaufmann, Elsevier. ; Antonio Reyes, Paolo Rosso, and Davide Buscaldi. 2012. From humor recognition to irony detection: The figurative language of social media. Data Knowl. Eng. 74 (2012), 1--12. ; Paolo Rosso, Cristina Bosco, Rossana Damiano, Viviana Patti, and Erik Cambria. 2016. Emotion and sentiment in social and expressive media: Introduction to the special issue. Inf. Process. Manage. 52, 1 (2016), 1--4. ; Klaus R. Scherer. 2005. What are emotions? And how can they be measured? Soc. Sci. Inf. 44, 4 (2005), 695--729. ; June Price Tangney, Jeff Stuewig, and Debra J. Mashek. 2007. Moral emotions and moral behavior. Ann. Rev. Psychol. 58 (2007), 345. ; Beste Filiz Yuksel, Penny Collisson, and Mary Czerwinski. 2016. Brains or beauty: How to engender trust in user-agent interactions. ACM Trans. Internet Technol. 17, 1 (2016), 1--20.
	Keyword: Affect; Interaction in Agent-based Systems; LENGUAJES Y SISTEMAS INFORMATICOS; Social Media
	URL: https://doi.org/10.1145/3018980 http://hdl.handle.net/10251/101676
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42	Irony and Sarcasm Detection in Twitter: The Role of Affective Content
	Hernández Farias, Delia Irazu. - : Universitat Politècnica de València, 2017
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43	Overview of the Evalita 2016 SENTIment POLarity Classification Task
	Barbieri, Francesco; Basile, Valerio; Croce, Danilo...
	In: Proceedings of Third Italian Conference on Computational Linguistics (CLiC-it 2016) & Fifth Evaluation Campaign of Natural Language Processing and Speech Tools for Italian. Final Workshop (EVALITA 2016) ; https://hal.inria.fr/hal-01414731 ; Proceedings of Third Italian Conference on Computational Linguistics (CLiC-it 2016) & Fifth Evaluation Campaign of Natural Language Processing and Speech Tools for Italian. Final Workshop (EVALITA 2016), Dec 2016, Naples, Italy (2016)
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44	Special Session on Emotion and Sentiment in Intelligent Systems and Big Social Data Analysis (SentISData 2016)
	Benamara, Farah; Bosco, Cristina; Fersini, Elisabetta. - : HAL CCSD, 2016
	In: 3rd IEEE International Conference on Data Science and Advanced Analytics (DSAA 2016) ; https://hal.archives-ouvertes.fr/hal-03176429 ; Benamara, Farah; Bosco, Cristina; Fersini, Elisabetta; Patti, Viviana; Viviancos, Emilio. 3rd IEEE International Conference on Data Science and Advanced Analytics (DSAA 2016), Oct 2016, Montréal, Canada. 2016 ; https://sites.ualberta.ca/~dsaa16/specialsessions.html (2016)
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45	Figurative messages and affect in Twitter: Differences between #irony, #sarcasm and #not
	Sulis, Emilio; Hernández Farías, Delia Irazú; Rosso, Paolo. - 2016
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46	Overview of the Evalita 2016 Sentiment Polarity Classification Task
	Barbieri, Francesco; Basile, Valerio; Croce, Danilo. - : CEUR-WS, 2016. : country:DEU, 2016. : place:Aachen, 2016
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47	Raising interest and collecting suggestions on the evalita evaluation campaign
	Sprugnoli, Rachele; Patti, Viviana; Cutugno, Franco. - : CEUR-WS, 2016. : country:DEU, 2016. : place:Aachen, 2016
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48	EVALITA 2016: Overview of the 5th evaluation campaign of natural language processing and speech tools for Italian
	Basile, Pierpaolo; Cutugno, Franco; Nissim, Malvina. - : CEUR-WS, 2016. : country:DEU, 2016. : place:Aachen, 2016
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49	Subjective well-being and social media: A semantically annotated twitter corpus on fertility and parenthood
	Sulis, Emilio; Bosco, Cristina; Patti, Viviana. - : CEUR-WS, 2016. : country:DEU, 2016. : place:Aachen, 2016
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50	Irony Detection in Twitter: The Role of Affective Content
	Patti, Viviana; Hernandez-Farias, Delia Irazu; Rosso, Paolo. - : Association for Computing Machinery (ACM), 2016
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51	Figurative Messages and Affect in Twitter: Differences Between #irony, #sarcasm and #not
	Patti, Viviana; Hernandez-Farias, Delia Irazu; Sulis, Emilio. - : Elsevier, 2016
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52	State of the Art Language Technologies for Italian: The EVALITA 2014 Perspective
	Attardi, Giuseppe; Basile, Valerio; Bosco, Cristina. - 2015
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53	ValenTo: Sentiment Analysis of Figurative Language Tweets with Irony and Sarcasm
	Ruffo, Giancarlo; Bosco, Cristina; Patti, Viviana. - : Association for Computational Linguistics, 2015. : country:USA, 2015. : place:Stroudsburg, PA, 2015
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54	Building a Corpus on a Debate on Political Reform in Twitter
	Lai, Mirko; Virone, Daniela; Bosco, Cristina. - : aAcademia University Press, 2015. : country:ITA, 2015. : place:Torino, 2015
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55	Analyzing and annotating for sentiment analysis the socio-political debate on #labuonascuola
	Stranisci, Marco; Bosco, Cristina; Patti, Viviana. - : aAcademia University Press, 2015. : country:ITA, 2015. : place:Torino, 2015
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56	ESSEM 2015 Emotion and Sentiment in Social and Expressive Media.
	Bosco, Cristina; Cambria, Erik; Damiano, Rossana. - : CEUR Workshop Proceedings, 2015. : country:DEU, 2015. : place:Aachen, 2015
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57	Overview of the Evalita 2014 SENTIment POLarity Classification Task
	Basile, Valerio; Bolioli, Andrea; Nissim, Malvina...
	In: Proceedings of the 4th evaluation campaign of Natural Language Processing and Speech tools for Italian (EVALITA'14) ; https://hal.inria.fr/hal-01228925 ; Proceedings of the 4th evaluation campaign of Natural Language Processing and Speech tools for Italian (EVALITA'14), 2014, Pisa, Italy. ⟨10.12871/clicit201429⟩ (2014)
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58	Overview of the Evalita 2014 SENTIment POLarity Classification Task
	Basile, Valerio; Bolioli, Andrea; Nissim, Malvina...
	In: Proceedings of the 4th evaluation campaign of Natural Language Processing and Speech tools for Italian (EVALITA'14) ; https://hal.inria.fr/hal-01195786 ; Proceedings of the 4th evaluation campaign of Natural Language Processing and Speech tools for Italian (EVALITA'14), Dec 2014, Pisa, France. ⟨10.12871/clicit201429⟩ (2014)
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59	SemEval 2018 Task 2: multilingual emoji prediction
	Barbieri, Francesco; Camacho-Collados, Jose; Ronzano, Francesco. - : ACL (Association for Computational Linguistics)
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