Contextual representation of self-disclosure and supportiveness in short text

Chandan Reddy Akiti, Sarah Rajtmajer, Anna Squicciarini

Research output: Contribution to journalConference article

2 Scopus citations

Abstract

As user engagement in online public discourse continues to richen, voluntary disclosure of personal information and its associated risks to privacy and security are of increasing concern. Users are often unaware of the sheer amount of personal information they share across online forums, commentaries, and social networks, as well as the power of modern AI to synthesize and gain insights from this data. We develop a novel multi-modal approach for the joint classiffcation of self-disclosure and supportiveness in short text. We take an ensemble approach for representation learning, leveraging BERT, LSTM, and CNN neural networks.

Original languageEnglish (US)
Pages (from-to)179-206
Number of pages28
JournalCEUR Workshop Proceedings
Volume2614
StatePublished - 2020
Event3rd Workshop on Affective Content Analysis, AffCon 2020 - New York, United States
Duration: Feb 7 2020 → …

All Science Journal Classification (ASJC) codes

  • Computer Science(all)

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