SECOND WORKSHOP ON COMPUTATIONAL MODELING OF PEOPLE’S OPINIONS, PERSONALITY, AND EMOTIONS IN SOCIAL MEDIA

Workshop co-located with NAACL HLT 2018 - New Orleans, Louisiana

June 6, 2018

NEWS

• Program available! It also contains links to full papers
• Accepted papers posted
• Title of keynote talks are online (each accompanied by a position paper that will appear in the proceedings)
• NAACL registration is open now - Early registration is up until April 29
• There will be onsite childcare for NAACL workshops
• Notifications will be send out on April 4, 2018
• Submission deadline extended to March 12, 2018
• The workshop will be held on June 6, 2018

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 such users, e.g., predicting demographic variables (age, gender), but also 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 as at SemEval with a special sentiment track.

While it is evident that interest is wide and high, it is also evident that such aspects of human personality and behavior have been mostly studied in isolation, often in different - but related - communities. We believe that the time is ripe to bring these communities a step closer, to study people’s traits and expressions jointly and in their interplay.

On a conceptual level we can view these aspects on a continuum of stability, where some can be considered stable (e.g., gender), while others are of more transitional nature and contextually prompted (e.g., emotions). They can be seen as characterizing traits of the whole person and should be studied together. As of now, however, little is known on how they interact with one another in computational language understanding, how they interact, and how they impact both natural language processing and society.

On a conceptual level we can view these aspects on a continuum of stability, where some can be considered stable (e.g., gender), while others are of more transitional nature and contextually prompted (e.g., emotions). They can be seen as characterizing traits of the whole person and should be studied together. As of now, however, little is known on how they interact with one another in computational language modeling, or how they can inform each other in modeling people or improving natural language processing tools.

We encourage the submission of long (8 pages) and short (4 pages) research papers, including opinion statements. We especially welcome views from different fields on how to treat the different aspects. We welcome submissions related but not limited to the following topics:

• opinion, personality and emotion detection in social media
• predicting demographic variables and author traits (gender, age, personality)
• opinions, personality and emotions and their interactions
• interaction between personality, opinion and emotions with demographic variables (age, gender)
• interaction between personality, opinion and emotions and geo-spatial information (geographic locations and places)
• interaction between personality, opinion and emotions with politics
• personality, opinion and emotions and social network analysis
• modeling of personality, opinion and emotions from a multimodal perspective
• modeling of personality, opinion and emotions from a multilingual perspective
• exploitation of the different degree of stability of the various traits
• reflections on the definition of personal traits
• reflection on self-selection biases and measurement biases in social media
• mixed methods that combine surveys and social media analysis to study opinions, personality and emotions
• applications of predictive modeling of user traits
• on the ethics of predictive modeling of social variables

Accepted Papers

• A DATASET OF HINDI-ENGLISH CODE-MIXED SOCIAL MEDIA TEXT FOR HATE SPEECH DETECTION
  Aditya Bohra, Deepanshu Vijay, Vinay Singh, Syed Sarfaraz Akhtar and Manish Shrivastava
• BUILDING AN ANNOTATED DATASET OF APP STORE REVIEWS WITH APPRAISAL FEATURES IN ENGLISH AND SPANISH
  Natalia Mora and Julia Lavid-López
• ENABLING DEEP LEARNING OF EMOTION WITH FIRST-PERSON SEED EXPRESSIONS
  Hassan Alhuzali, Muhammad Abdul-Mageed and Lyle Ungar
• FRUSTRATED, POLITE, OR FORMAL: QUANTIFYING FEELINGS AND TONE IN EMAIL
  Niyati Chhaya, Kushal Chawla, Tanya Goyal, Projjal Chanda and Jaya Singh
• GROUNDING THE SEMANTICS OF PART-OF-DAY NOUNS WORLDWIDE USING TWITTER
  David Vilares and Carlos Gómez-Rodríguez
• JOHNS HOPKINS OR JOHNNY-HOPKINS: CLASSIFYING INDIVIDUALS VERSUS ORGANIZATIONS ON TWITTER
  Zach Wood-Doughty, Praateek Mahajan and Mark Dredze
• MODELING PERSONALITY TRAITS OF FILIPINO TWITTER USERS
  Edward Tighe and Charibeth Cheng
• OBSERVATIONAL COMPARISON OF GEO-TAGGED AND RANDOMLY-DRAWN TWEETS
  Tom Lippincott and Annabelle Carrell
• PREDICTING AUTHORSHIP AND AUTHOR TRAITS FROM KEYSTROKE DYNAMICS
  Barbara Plank
• PREDICTING TWITTER USER DEMOGRAPHICS FROM NAMES ALONE
  Zach Wood-Doughty, Nicholas Andrews, Rebecca Marvin and Mark Dredze
• REDDIT: A GOLD MINE FOR PERSONALITY PREDICTION
  Matej Gjurković and Jan Šnajder
• SOCIAL AND EMOTIONAL CORRELATES OF CAPITALIZATION ON TWITTER
  Sophia Chan and Alona Fyshe
• UNDERSTANDING THE EFFECT OF GENDER AND STANCE IN OPINION EXPRESSION IN DEBATES ON "ABORTION"
  Esin Durmus and Claire Cardie
• WHAT MAKES US LAUGH? INVESTIGATIONS INTO AUTOMATIC HUMOR CLASSIFICATION
  Vikram Ahuja, Taradheesh Bali and Navjyoti Singh

Keynote speakers

• The social and the neural network: How to make Natural Language Processing about people again
  Dirk Hovy (Bocconi University, Italy)
• The potential of the computational linguistic analysis of social media for population studies
  Letizia Mencarini (Bocconi University, Italy)

Paper Submission

Standard research papers should be a maximum of 8 pages long, plus two pages of references. We also encourage the submission of short papers of maximum 4 pages, plus two pages of references. All papers should be electronically submitted in PDF format via the START system:

http://softconf.com/naacl2018/PEOPLES18/

Submissions must be anonymous and follow the NAACL HLT 2018 formatting guidelines.

The deadline for submission is March 12, 2018 23:59 UTC-12:00 (extended).

Programme Committee

• Nikolaos Aletras, Sheffield University, UK
• Pierpaolo Basile, University of Bari, Italy
• Valerio Basile, Sapienza University of Rome, Italy
• Arnim Bleier, GESIS Leibniz Institute for the Social Sciences, Germany
• Gosse Bouma, University of Groningen, The Netherlands
• Erik Cambria, Nanyang Technological University, Singapore
• Fabio Celli, University of Trento, Italy
• Chloé Clavel, LTCI-CNRS, Telecom-ParisTech, France
• Franco Cutugno, University of Naples Federico II, Italy
• Walter Daelemans, University of Antwerp, Belgium
• David Garcia, Complexity Science Hub Vienna and Medical University of Vienna, Austria
• Ancsa Hannak, Central European University, Hungary
• Dan Hardt, Copenhagen Business School, Denmark
• Dirk Hovy, Bocconi University, Italy
• Richard Johansson, University of Gothenburg, Sweden
• David Jurgens, Stanford University, US
• Svetlana Kiritchenko, NRC-Canada, Canada
• Florian Kunneman, Radboud Universiteit Nijmegen, The Netherlands
• Fei Liu, Melbourne University, Australia
• Nikola Ljubešić, Jožef Stefan Institute, Slovenia
• Kim Luyckx, Biomina Research Group, Belgium
• Eric Malmi, Aalto University, Finland
• Héctor Martínez Alonso, Thomson Reuters, CA
• Rada Mihalcea, University of Michigan, US
• Saif Mohammad, NRC-Canada, Canada
• Dong Nguyen, Alan Turing Institute, UK
• Scott Nowson, Accenture, Ireland
• Massimo Poesio, Queen Mary University, UK
• Martin Potthast, Leipzig University, Germany
• Daniel Preotiuc-Pietro, University of Pennsylvania, US
• Paolo Rosso, Technical University of Valencia, Spain
• Hassan Saif, Knowledge Media Institute, UK
• Ingmar Weber, QCRI, Qatar

Organisers

• Malvina Nissim, University of Groningen
• Viviana Patti, University of Turin
• Barbara Plank, University of Groningen
• Claudia Wagner, University of Koblenz and GESIS - Köln