| { | |
| "paper_id": "2021", | |
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| "date_generated": "2023-01-19T06:06:55.381914Z" | |
| }, | |
| "title": "Keynote talk: Using language to study emotional contagion", | |
| "authors": [ | |
| { | |
| "first": "Lyle", | |
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| "last": "Ungar", | |
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| "institution": "University of Pennsylvania", | |
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| "email": "" | |
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| "abstract": "The words people use not only reveal their happiness, anger, depression, and empathy toward others; they also influence the people they communicate with, changing their moods and language. Language thus drives emotional contagion and allows us to measure it. We present case studies in which people experience different amounts of emotional contagion based on two factors: 1) Their empathy style: The words people use on Facebook, when correlated with their scores on empathy-measuring questionnaires, reveal empathy-driven emotional contagion. 2) Their level of depression: SMS messages from cell phones show that although depressed people use more sad, negative, and angry language, the texts they receive only show more anger than texts to non-depressed people, suggesting that anger may be more contagious than sadness. v", | |
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| "text": "The words people use not only reveal their happiness, anger, depression, and empathy toward others; they also influence the people they communicate with, changing their moods and language. Language thus drives emotional contagion and allows us to measure it. We present case studies in which people experience different amounts of emotional contagion based on two factors: 1) Their empathy style: The words people use on Facebook, when correlated with their scores on empathy-measuring questionnaires, reveal empathy-driven emotional contagion. 2) Their level of depression: SMS messages from cell phones show that although depressed people use more sad, negative, and angry language, the texts they receive only show more anger than texts to non-depressed people, suggesting that anger may be more contagious than sadness. v", | |
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| "text": "After the tenth edition of WASSA in 2019, which came only seven months after WASSA 2018, it was decided to take a one-year break from organising the workshop to give the community some time to breathe. . . Little did we know what COVID-19 had in mind. 2020 has been a year full of sentiment and emotion, to say the least. The pandemic has dominated the news headlines all around the world and evoked a variety of emotions amongst the general public. Understanding these emotions not only provides insights into the way the public responds to the COVID-19 pandemic in itself and to the media coverage of the disease, but might help to encourage health promotion measures.", | |
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| "section": "Introduction", | |
| "sec_num": null | |
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| "text": "Research in automatic subjectivity and sentiment analysis remains a popular research task in the field of computational linguistics with a great application potential. Over the years the problem of dealing with affect in text has evolved, making it a very challenging research area with many research questions that still need to be answered and often requiring interdisciplinary approaches.", | |
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| "section": "Introduction", | |
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| "text": "The aim of the Eleventh Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis (WASSA 2021) was to continue the line of the previous editions and bring together researchers working on Subjectivity, Sentiment Analysis, Emotion Detection and Classification and their applications to other NLP or real-world tasks (e.g. public health messaging, fake news, media impact analysis) and researchers working on interdisciplinary aspects of affect computation from text. We also welcomed submissions that specifically tackled sentiment or emotion detection and classification in the context of the COVID-19 pandemic.", | |
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| "text": "Though the timing was rather tight, we decided to also organise a shared task on Predicting Empathy and Emotion in Reaction to News Stories (https://competitions.codalab.org/competitions/28713). This task aimed at developing models which can predict empathy (Track I) and emotion (Track II) based on essays written in reaction to news articles which reported on harm caused to a person, a group, or other situations. Five teams participated in the shared task, with three teams submitting predictions for both tracks. For track I, empathy prediction, four teams submitted a system and the best result obtained was an average Pearson correlation of 0.545. For track II, emotion label prediction, four teams submitted a system and the best result was a macro F-1 of 55.3%.", | |
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| "section": "Introduction", | |
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| "text": "For the main workshop, we accepted 15 papers as long and another 9 as short papers, leading to a total of 24/32 accepted papers (acceptance rate of 75%). For the shared task we received 6 system description paper submissions, out of which we accepted 5. Thus, in total 29 papers will be presented at the workshop, together with the additional contribution from our invited speaker Lyle Ungar, professor of Computer and Information Science at the University of Pennsylvania.", | |
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| "text": "Accepted papers deal with topics including implicit and explicit sentiment analysis, emotion detection or classification and the detection of hate speech, stance or sarcasm. A large number of papers deal with languages other than English, including multilingual approaches but also work conducted on Italian, Dutch, code-mixed Hindi-English and even less-resourced languages such as Sindhi, Marathi and Arabizi. The dominance of COVID-19 in the headlines did not translate to a high number of COVIDrelated papers, but we gladly included one paper scrutinising resistance to COVID-19 directives.", | |
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| "text": "This year we also asked the reviewers for recommendations for a best paper award and are thrilled to announce that the paper \"Lightweight Models for Multimodal Sequential Data\" by Soumya Sourav and Jessica Ouyang wins this year's award.", | |
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| "section": "Introduction", | |
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| "text": "We would like to thank the EACL 2021 Organizers and Workshop Chairs for their help and support at the different stages of the workshop organisation process. We are also especially grateful to the Program Committee members for the time and effort spent to thoroughly review and assess the papers. Finally, we would like to extend our thanks to our invited speaker -Prof. Lyle Ungar -for accepting the invitation to deliver the keynote talk. ", | |
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| "back_matter": [ | |
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| "text": " Monday, April 19, 2021 (continued) Me, myself, and ire: Effects of automatic transcription quality on emotion, sarcasm, and personality detection John Culnan, Seongjin Park, Meghavarshini Krishnaswamy ", | |
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| "end": 35, | |
| "text": "Monday, April 19, 2021 (continued)", | |
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| "start": 189, | |
| "end": 201, | |
| "text": "Krishnaswamy", | |
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| "section": "annex", | |
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| "title": "05 Language that Captivates the Audience: Predicting Affective Ratings of TED Talks in a Multi-Label Classification Task Elma Kerz, Yu Qiao and Daniel Wiechmann 10:05-10:30 Partisanship and Fear are Associated with Resistance to COVID-19 Directives Mike Lindow, David DeFranza", | |
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| "raw_text": "Monday, April 19, 2021 9:00-9:15 Opening of the WASSA workshop Orph\u00e9e De Clercq 9:15-11:00 ORAL SESSION 1 9:15-9:40 ToxCCIn: Toxic Content Classification with Interpretability Tong Xiang, Sean MacAvaney, Eugene Yang and Nazli Goharian 9:40-10:05 Language that Captivates the Audience: Predicting Affective Ratings of TED Talks in a Multi-Label Classification Task Elma Kerz, Yu Qiao and Daniel Wiechmann 10:05-10:30 Partisanship and Fear are Associated with Resistance to COVID-19 Directives Mike Lindow, David DeFranza, Arul Mishra and Himanshu Mishra 10:30-10:45 Explainable Detection of Sarcasm in Social Media Ramya Akula and Ivan Garibay 10:45-11:00 Emotion Ratings: How Intensity, Annotation Confidence and Agreements are En- tangled Enrica Troiano, Sebastian Pad\u00f3 and Roman Klinger 11:00-11:30 Coffee break 11:30-12:50 ORAL SESSION 2 11:30-11:55 Disentangling Document Topic and Author Gender in Multiple Languages: Lessons for Adversarial Debiasing Erenay Dayanik and Sebastian Pad\u00f3 11:55-12:20 Universal Joy A Data Set and Results for Classifying Emotions Across Languages Sotiris Lamprinidis, Federico Bianchi, Daniel Hardt and Dirk Hovy 12:20-12:35 FEEL-IT: Emotion and Sentiment Classification for the Italian Language Federico Bianchi, Debora Nozza and Dirk Hovy", | |
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| "title": ":45 POSTER SESSION Exploring Implicit Sentiment Evoked by Fine-grained News Events Cynthia Van Hee, Orphee De Clercq and Veronique Hoste Exploring Stylometric and Emotion-Based Features for Multilingual Cross-Domain Hate Speech Detection Ilia Markov, Nikola Ljube\u0161i\u0107, Darja Fi\u0161er and Walter Daelemans Emotion-Aware, Emotion-Agnostic, or Automatic: Corpus Creation Strategies to Obtain Cognitive Event Appraisal Annotations Jan Hofmann, Enrica Troiano and Roman Klinger Hate Towards the Political Opponent: A Twitter Corpus Study of the 2020 US Elections on the Basis of Offensive Speech and Stance Detection Lara Grimminger and Roman Klinger Synthetic Examples Improve Cross-Target Generalization: A Study on Stance Detection on a Twitter corpus", | |
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| "raw_text": "Monday, April 19, 2021 (continued) 12:35-12:50 An End-to-End Network for Emotion-Cause Pair Extraction Aaditya Singh, Shreeshail Hingane, Saim Wani and Ashutosh Modi 12:50-13:45 Lunch break 13:45-14:30 SHARED TASK SESSION 13:45-14:00 WASSA 2021 Shared Task: Predicting Empathy and Emotion in Reaction to News Stories Shabnam Tafreshi, Orphee De Clercq, Valentin Barriere, Sven Buechel, Jo\u00e3o Sedoc and Alexandra Balahur 14:00-14:15 PVG at WASSA 2021: A Multi-Input, Multi-Task, Transformer-Based Architecture for Empathy and Distress Prediction Atharva Kulkarni, Sunanda Somwase, Shivam Rajput and Manisha Marathe 14:15-14:30 WASSA@IITK at WASSA 2021: Multi-task Learning and Transformer Finetuning for Emotion Classification and Empathy Prediction Jay Mundra, Rohan Gupta and Sagnik Mukherjee 14:30-15:30 INVITED TALK: Using language to study emotional contagion Lyle Ungar 15:30-15:45 Coffee break 15:45-16:35 ORAL SESSION 3 15:45-16:10 Analyzing Curriculum Learning for Sentiment Analysis along Task Difficulty, Pac- ing and Visualization Axes Anvesh Rao Vijjini, Kaveri Anuranjana and Radhika Mamidi 16:10-16:35 Lightweight Models for Multimodal Sequential Data Soumya Sourav and Jessica Ouyang Monday, April 19, 2021 (continued) 16:35-17:45 POSTER SESSION Exploring Implicit Sentiment Evoked by Fine-grained News Events Cynthia Van Hee, Orphee De Clercq and Veronique Hoste Exploring Stylometric and Emotion-Based Features for Multilingual Cross-Domain Hate Speech Detection Ilia Markov, Nikola Ljube\u0161i\u0107, Darja Fi\u0161er and Walter Daelemans Emotion-Aware, Emotion-Agnostic, or Automatic: Corpus Creation Strategies to Obtain Cognitive Event Appraisal Annotations Jan Hofmann, Enrica Troiano and Roman Klinger Hate Towards the Political Opponent: A Twitter Corpus Study of the 2020 US Elec- tions on the Basis of Offensive Speech and Stance Detection Lara Grimminger and Roman Klinger Synthetic Examples Improve Cross-Target Generalization: A Study on Stance De- tection on a Twitter corpus. Costanza Conforti, Jakob Berndt, Mohammad Taher Pilehvar, Chryssi Giannitsarou, Flavio Toxvaerd and Nigel Collier Creating and Evaluating Resources for Sentiment Analysis in the Low-resource Lan- guage: Sindhi Wazir Ali, Naveed Ali, Yong Dai, Jay Kumar, Saifullah Tumrani and Zenglin Xu Towards Emotion Recognition in Hindi-English Code-Mixed Data: A Transformer Based Approach Anshul Wadhawan and Akshita Aggarwal Nearest neighbour approaches for Emotion Detection in Tweets Olha Kaminska, Chris Cornelis and Veronique Hoste L3CubeMahaSent: A Marathi Tweet-based Sentiment Analysis Dataset Atharva Kulkarni, Meet Mandhane, Manali Likhitkar, Gayatri Kshirsagar and Ravi- raj Joshi Multi-Emotion Classification for Song Lyrics Darren Edmonds and Jo\u00e3o Sedoc ONE: Toward ONE model, ONE algorithm, ONE corpus dedicated to sentiment analysis of Arabic/Arabizi and its dialects Imane Guellil, Faical Azouaou, Fodil Benali and Hachani Ala-Eddine", | |
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| "content": "<table><tr><td>Viktor Pekar -</td><td>Organizers</td></tr><tr><td>Organizers</td><td/></tr><tr><td colspan=\"2\">Orph\u00e9e de Clercq -Ghent University, Belgium Orph\u00e9e De Clercq, Alexandra Balahur, Jo\u00e3o Sedoc, Valentin Barriere, Shabnam Tafreshi, Sven Buechel Alexandra Balahur -European Commission Joint Research Centre and Veronique Hoste Jo\u00e3o Sedoc -New York University, U.S.A</td></tr><tr><td colspan=\"2\">Valentin Barriere -European Commission Joint Research Centre WASSA 2021 Chairs Shabnam Trafreshi -Georgetown University & IBM, U.S.A.</td></tr><tr><td colspan=\"2\">Sven Buechel -Friedrich Schiller University Jena, Germany</td></tr><tr><td colspan=\"2\">Veronique Hoste -Ghent University, Belgium</td></tr><tr><td>Program Committee</td><td/></tr><tr><td colspan=\"2\">Liesbeth Allein -European Commission Joint Research Centre</td></tr><tr><td colspan=\"2\">Jeremy Barnes -University Pompeu Fabra, Spain</td></tr><tr><td colspan=\"2\">Sabine Bergler -Concordia University, Canada</td></tr><tr><td colspan=\"2\">Cristina Bosco -University of Torino, Italy</td></tr><tr><td>Nicoletta Calzolari -CNR Pisa, Italy</td><td/></tr><tr><td colspan=\"2\">Erik Cambria -Nanyang Technological University, Singapore</td></tr><tr><td colspan=\"2\">Sergio Consoli -European Commission Joint Research Centre</td></tr><tr><td>Montse Cuadros -Vicomtech, Spain</td><td/></tr><tr><td colspan=\"2\">Luna De Bruyne -Ghent University, Belgium</td></tr><tr><td>Lingjia Deng -Bloomberg, U.S.A.</td><td/></tr><tr><td colspan=\"2\">Antske Fokkens -VU Amsterdam, The Netherlands</td></tr><tr><td>Michael Gamon -Microsoft, U.S.A.</td><td/></tr><tr><td colspan=\"2\">Lorenzo Gatti -University of Twente, The Netherlands</td></tr><tr><td colspan=\"2\">Matthias Hartung -Semalytix GmbH, Germany</td></tr><tr><td colspan=\"2\">Dirk Hovy -Bocconi University, Italy</td></tr><tr><td colspan=\"2\">Stefano Maria Iacus -European Commission Joint Research Centre</td></tr><tr><td colspan=\"2\">Carlos A. Iglesias -Universidad Polit\u00e9cnica de Madrid, Spain</td></tr><tr><td colspan=\"2\">Ruben Izquierdo Bevia -Nuance, Spain</td></tr><tr><td colspan=\"2\">Gilles Jacobs -Ghent University, Belgium</td></tr><tr><td>Aditya Joshi -Notiv, Australia</td><td/></tr><tr><td colspan=\"2\">Evgeny Kim -University of Stuttgart, Germany</td></tr><tr><td colspan=\"2\">Manfred Klenner -University of Zuerich, Switzerland</td></tr><tr><td colspan=\"2\">Roman Klinger -University of Stuttgart, Germany</td></tr><tr><td colspan=\"2\">Emiel Krahmer -Tilburg University, The Netherlands</td></tr><tr><td colspan=\"2\">Mayank Kulkarni -Bloomberg, U.S.A.</td></tr><tr><td colspan=\"2\">Els Lefever -Ghent University, Belgium</td></tr><tr><td colspan=\"2\">Edison Marrese-Taylor -University of Tokyo, Japan</td></tr><tr><td colspan=\"2\">Saif M. Mohammad -National Research Council Canada, Canada</td></tr><tr><td colspan=\"2\">Karo Moilanen -University of Oxford, U.K.</td></tr><tr><td>Guenter Neumann -DFKI, Germany</td><td/></tr><tr><td colspan=\"2\">Malvina Nissim -University of Groningen, The Netherlands</td></tr><tr><td colspan=\"2\">Laura Ana Maria Oberl\u00e4nder -University of Stuttgart, Germany</td></tr><tr><td colspan=\"2\">Constantin Orasan -University of Surrey, U.K.</td></tr><tr><td colspan=\"2\">Sean Papay -University of Stuttgart, Germany</td></tr><tr><td colspan=\"2\">Viviana Patti -University of Torino, Italy</td></tr></table>", | |
| "num": null, | |
| "text": "University of Wolverhampton, U.K. Jose Manuel Perea-Ortega -University of Extremadura, Spain Barbara Plank -IT University of Copenhagen, Denmark Daniel Preotiuc-Pietro -Bloomberg, U.S.A. Paolo Rosso -Technical University of Valencia, Spain Pranaydeep Singh -Ghent University, Belgium Josef Steinberger -West Bohemia University Prague, The Czech Republic Carlo Strapparava -Fondazione Bruno Kessler, Italy Mike Thelwall -University of Wolverhampton, U.K Dan Tufis -RACAI, Romania Cynthia Van Hee -Ghent University, Belgium Tony Veale -University College Dublin, Ireland Charles Welch -University of Michigan, U.S.A Michael Wiegand -Saarland University, Germany Taras Zagibalov -Brantwatch, U.K." | |
| } | |
| } | |
| } | |
| } |