Capturing signals of enthusiasm and support towards social issues from twitter

Shubhanshu Mishra, Jana Diesner

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Social media enables organizations to learn what users say about their products online, and to engage with their potential audiences. Social media has also been allowing individual users and the public to signal their enthusiasm, support, or lack thereof for a broad range of topics. In this paper, we analyze the robustness of a prior framework for tagging tweets across the dimensions of enthusiasm (labels: enthusiastic, passive) and support (labels: supportive, non-supportive). We investigate the quality of annotations in a collection of tweets about three topics, namely, cyberbullying, LGBT rights, and Chronic Traumatic Encephalopathy (CTE) in the National Football League. We train models that achieve >70% and 80% F1 score for classifying tweets for enthusiasm and support, respectively. We assess how text-based signals of enthusiasm and support vary depending on the different annotators. Finally, we propose and demonstrate a network analysis-based approach for combining the annotated tweets with account and hashtag mention networks. This step helps to identify top accounts and hashtags related to the considered categories (enthusiasm and support). Our work offers an alternative or supplemental classification schema and prediction model to standard sentiment analysis and stance detection.

Original languageEnglish (US)
Title of host publicationSIdEWayS 2019 - Proceedings of the 5th International Workshop on Social Media World Sensors
PublisherAssociation for Computing Machinery, Inc
Pages19-24
Number of pages6
ISBN (Electronic)9781450369039
DOIs
StatePublished - Sep 12 2019
Event5th ACM International Workshop on Social Media World Sensors, SIdEWayS 2019, in conjunction with the 30th ACM Conference on Hypertext and Social Media, HT 2019 - Hof, Germany
Duration: Sep 17 2019 → …

Publication series

NameSIdEWayS 2019 - Proceedings of the 5th International Workshop on Social Media World Sensors

Conference

Conference5th ACM International Workshop on Social Media World Sensors, SIdEWayS 2019, in conjunction with the 30th ACM Conference on Hypertext and Social Media, HT 2019
CountryGermany
CityHof
Period9/17/19 → …

Keywords

  • Enthusiasm
  • Networks
  • Social media
  • Support
  • Twitter

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Communication
  • Information Systems
  • Media Technology

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  • Datasets

    Tweet IDs annotated for enthusiasm and support towards social causes: CTE, cyberbullying, and LGBT

    Mishra, S. (Creator), Agarwal, S. (Creator), Guo, J. (Creator), Phelps , K. (Creator), Picco, J. (Creator) & Diesner, J. (Creator), University of Illinois at Urbana-Champaign, May 15 2020

    Dataset

    Cite this

    Mishra, S., & Diesner, J. (2019). Capturing signals of enthusiasm and support towards social issues from twitter. In SIdEWayS 2019 - Proceedings of the 5th International Workshop on Social Media World Sensors (pp. 19-24). (SIdEWayS 2019 - Proceedings of the 5th International Workshop on Social Media World Sensors). Association for Computing Machinery, Inc. https://doi.org/10.1145/3345645.3351104