THIRD WORKSHOP ON COMPUTATIONAL MODELING OF PEOPLE’S OPINIONS, PERSONALITY, AND EMOTIONS IN SOCIAL MEDIA
Workshop co-located with COLING - Barcelona
December 13, 2020
- PEOPLES 2020 Proceedings are published in the ACL Anthology!
- Program is available!
- Accepted papers posted
- UPDATE: COLING’2020 IS GOING ENTIRELY VIRTUAL! All parts of the conference programme will involve a mixture of virtual presentations and real-time Q/A sessions.
PEOPLES will be virtual also!
- IMPORTANT UPDATE: Please note that the workshop has been postponed to 13th December and
the submission deadline is now extended, in accordance with COLING 2020 being postponed to December.
- Keynote: David Jurgens, University of Michigan, US
- The workshop will be held on December 13, 2020 at COLING in Barcelona
On social media, users nowadays freely express what is on their mind at any moment in time, at any location,
and about virtually anything. These large amounts of spontaneously produced texts open up a unique opportunity to learn more about social
media users, e.g., predicting socio-demographic variables (age, gender, profession, education), personality types,
as well as emotions and opinion expressions. Indeed, this excellent opportunity has materialized in a large and
growing number of recent workshops held at different Natural Language Processing, Artificial Intelligence,
Semantic Web, and Information Retrieval venues, for example WASSA (focusing on sentiment and social media),
PAN (focusing on author profiling like personality) and ESSEM (focusing on emotions in AI), including
the organization of shared tasks such asat SemEval with a special sentiment track. However, such aspects of
human personality and behavior have been mostly studied in isolation, often in different—but related—communities.
PEOPLES aims at bringing these diverse communities a step closer to each other, to study people's
traits and expressions jointly and in their interplay.
Indeed, the traits in the focus of PEOPLES can be seen as characterizing the whole person and should be studied together.
Contextually, one should study how their interaction, and their computational modelling impact both natural
language processing and society. This also in view of recent active discussions regarding ethical and bias-related
aspects in NLP, which strongly relate to the traits that the PEOPLES workshop focuses on.
PEOPLES 2020 would be the continuation of successful editions that were held at COLING 2016 and NAACL 2018,
by continuing to provide a forum for researchers who share an interest in personality, opinion and emotion detection,
as well as the impact of this work on society.
We will encourage the submission of long (9 pages) and short (4 pages) research papers, including opinion statements.
We will especially welcome views from different fields, and will welcome submissions related but not limited to the
- opinion, personality and emotion detection in social media
- opinions, personality and emotions and their interactions
- interaction between personality, opinion and emotions with socio-demographic variables
- interaction between personality, opinion and emotions and geo-spatial information
- interaction between socio-demographic, personality, opinion and emotions with politics
- analysis of social networks with attributes (e.g. socio-demographic attributes or opinions)
- modeling of personality, opinion and emotions from a multimodal perspective
- multilingual approaches to demographic inference from social media
- multilingual approaches to opinion, emotions and personality detection
- cross-cultural analysis of opinion, emotions, personality in multilingual social media data
- applications of predictive modeling of user traits
- bias-related issues, and the ethics of predictive modeling of user attributes
UPDATE: We also very much welcome research that focuses on
how the usual PEOPLES dimensions might have changed or might be changing due to the special COVID-related circumstances.
For example, how relevant traits might be represented differently now with respect to 'normal' times.
Learning Emotion from 100 Observations: Unexpected Robustness of Deep Learning under Strong Data Limitations
Sven Buechel, João Sedoc, H. Andrew Schwartz and Lyle Ungar
- HopeEDI: A Multilingual Hope Speech Detection Dataset for Equality, Diversity, and Inclusion
Bharathi Raja Chakravarthi
- Red Is Open-Minded, Blue Is Conscientious: Predicting User Traits From Instagram Image Data
Lisa Branz, Patricia Brockmann and Annika Hinze
- KanCMD: Kannada CodeMixed Dataset for Sentiment Analysis and Offensive Language Detection
Adeep Hande, Ruba Priyadharshini and Bharathi Raja Chakravarthi
- Multilingual Emoticon Prediction of Tweets about COVID-19
Stefanos Stoikos and Mike Izbicki
- Contextual Augmentation of Pretrained Language Models for Emotion Recognition in Conversations
Jonggu Kim, Hyeonmok Ko, Seoha Song, Saebom Jang and Jiyeon Hong
- The LiLaH Emotion Lexicon of Croatian, Dutch and Slovene
Nikola Ljubešić, Ilia Markov, Darja Fišer and Walter Daelemans
- Experiencers, Stimuli, or Targets: Which Semantic Roles Enable Machine Learning to Infer the Emotions?
Laura Ana Maria Oberländer, Kevin Reich and Roman Klinger
- Topic and Emotion Development among Dutch COVID-19 Twitter Communities in the early Pandemic
Boris Marinov, Jennifer Spenader and Tommaso Caselli
- Cross-lingual Emotion Intensity Prediction
Irean Navas Alejo, Toni Badia and Jeremy Barnes
- Sentiments in Russian Medical Professional Discourse during the Covid-19 Pandemic
Irina Ovchinnikova, Liana Ermakova and Diana Nurbakova
- Inferring Neuroticism of Twitter Users by Utilizing their Following Interests
Joran Cornelisse and Raoul Grasman
- Social Media Unrest Prediction during the COVID-19 Pandemic: Neural Implicit Motive Pattern Recognition as Psychometric Signs of Severe Crises
Dirk Johannßen and Chris Biemann
- Persuasiveness of News Editorials depending on Ideology and Personality
Roxanne El Baff, Khalid Al Khatib, Benno Stein and Henning Wachsmuth
- Matching Theory and Data with Personal-ITY: What a Corpus of Italian YouTube Comments Reveals About Personality
Elisa Bassignana, Malvina Nissim and Viviana Patti
We invite submissions of up to nine (9) pages maximum, plus bibliography for long papers and four (4) pages,
plus bibliography, for short papers. Position papers can be both long and short.
For all paper types, unlimited pages for references are allowed.
All papers should be electronically submitted in PDF format via the START system, available at:
Submissions must be anonymous and follow the
COLING 2020 style templates. The review process will be double-blind.
- Jeremy Barnes, University of Oslo, Norway
- Maria Barrett, IT University of Copenhagen, Denmark
- Pierpaolo Basile, University of Bari, Italy
- Valerio Basile, University of Turin, Italy
- Meriem Beloucif, Universität Hamburg, Germany
- Laura Bostan, University of Stuttgart, Germany
- Erik Cambria, Nanyang Technological University, Singapore
- Tommaso Caselli, University of Groningen, The Netherlands
- Chloé Clavel, LTCI-CNRS, Telecom-ParisTech, France
- Walter Daelemans, University of Antwerp, Belgium
- Dipankar Das, Jadavpur University, India
- Esin Durmus, Cornell University, US
- Tommaso Fornaciari, Bocconi University, Italy
- Aparna Garimella, University of Michigan, USA
- Albert Gatt, University of Malta, Malta
- Rob van de Goot, IT University of Copenhagen, Denmark
- Mareike Hartmann, University of Copenhagen, Denmark
- Delia Irazú Hernández Farías, Universidad de Guanajuato Campus León, Mexico
- Aditya Joshi, CSIRO, AU
- Svetlana Kiritchenko, NRC-Canada, Canada
- Roman Klinger, University of Stuttgart, Germany
- Florian Kunneman, Vrije Universiteit Amsterdam, The Netherlands
- Fei Liu, Melbourne University, Australia
- Gosse Minnema, University of Groningen, The Netherlands
- Nikola Ljubešić, Jožef Stefan Institute, Slovenia
- Kim Luyckx, Antwerp University Hospital, Belgium
- Dong Nguyen, Utrecht University, The Netherlands
- Scott Nowson, Artificial Intelligence Lead, PwC Middle East, United Arab Emirates
- Debora Nozza , Bocconi University, Italy
- Endang Wahyu Pamungkas, University of Turin, Italy
- Daniel Preotiuc-Pietro, Bloomberg, USA
- Paolo Rosso, Technical University of Valencia, Spain
- Ingmar Weber, QCRI, Qatar
- Charlie Welch, University of Michigan, USA
General Chairs and Organisers
- Malvina Nissim, University of Groningen
- Viviana Patti, University of Turin
- Barbara Plank, IT University of Copenhagen
Publicity and Publication Chair
If have any enquiries/comments about the workshop or the submission procedure, please just contact us via email:
peoples.wksh at gmail dot com
You can also follow us on Facebook!
This workshop is organised with the support of CELI Language
Technology and the Computational Linguistics group of CLCG,
University of Groningen. Would you be interesting in becoming sponsor? Please reach out!