@inproceedings{barriere-etal-2022-wassa,
title = "{WASSA} 2022 Shared Task: Predicting Empathy, Emotion and Personality in Reaction to News Stories",
author = "Barriere, Valentin and
Tafreshi, Shabnam and
Sedoc, Jo{\~a}o and
Alqahtani, Sawsan",
editor = "Barnes, Jeremy and
De Clercq, Orph{\'e}e and
Barriere, Valentin and
Tafreshi, Shabnam and
Alqahtani, Sawsan and
Sedoc, Jo{\~a}o and
Klinger, Roman and
Balahur, Alexandra",
booktitle = "Proceedings of the 12th Workshop on Computational Approaches to Subjectivity, Sentiment {\&} Social Media Analysis",
month = may,
year = "2022",
address = "Dublin, Ireland",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2022.wassa-1.20",
doi = "10.18653/v1/2022.wassa-1.20",
pages = "214--227",
abstract = "This paper presents the results that were obtained from WASSA 2022 shared task on predicting empathy, emotion, and personality in reaction to news stories. Participants were given access to a dataset comprising empathic reactions to news stories where harm is done to a person, group, or other. These reactions consist of essays and Batson{'}s empathic concern and personal distress scores. The dataset was further extended in WASSA 2021 shared task to include news articles, person-level demographic information (e.g. age, gender), personality information, and Ekman{'}s six basic emotions at essay level Participation was encouraged in four tracks: predicting empathy and distress scores, predicting emotion categories, predicting personality and predicting interpersonal reactivity. In total, 14 teams participated in the shared task. We summarize the methods and resources used by the participating teams.",
}
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%0 Conference Proceedings
%T WASSA 2022 Shared Task: Predicting Empathy, Emotion and Personality in Reaction to News Stories
%A Barriere, Valentin
%A Tafreshi, Shabnam
%A Sedoc, João
%A Alqahtani, Sawsan
%Y Barnes, Jeremy
%Y De Clercq, Orphée
%Y Barriere, Valentin
%Y Tafreshi, Shabnam
%Y Alqahtani, Sawsan
%Y Sedoc, João
%Y Klinger, Roman
%Y Balahur, Alexandra
%S Proceedings of the 12th Workshop on Computational Approaches to Subjectivity, Sentiment & Social Media Analysis
%D 2022
%8 May
%I Association for Computational Linguistics
%C Dublin, Ireland
%F barriere-etal-2022-wassa
%X This paper presents the results that were obtained from WASSA 2022 shared task on predicting empathy, emotion, and personality in reaction to news stories. Participants were given access to a dataset comprising empathic reactions to news stories where harm is done to a person, group, or other. These reactions consist of essays and Batson’s empathic concern and personal distress scores. The dataset was further extended in WASSA 2021 shared task to include news articles, person-level demographic information (e.g. age, gender), personality information, and Ekman’s six basic emotions at essay level Participation was encouraged in four tracks: predicting empathy and distress scores, predicting emotion categories, predicting personality and predicting interpersonal reactivity. In total, 14 teams participated in the shared task. We summarize the methods and resources used by the participating teams.
%R 10.18653/v1/2022.wassa-1.20
%U https://aclanthology.org/2022.wassa-1.20
%U https://doi.org/10.18653/v1/2022.wassa-1.20
%P 214-227
Markdown (Informal)
[WASSA 2022 Shared Task: Predicting Empathy, Emotion and Personality in Reaction to News Stories](https://aclanthology.org/2022.wassa-1.20) (Barriere et al., WASSA 2022)
ACL